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HomeMy WebLinkAboutCT 2018-0002; AVIARA APARTMENTS WEST; PRIORITY DEVELOPMENT PROJECT STORM WATER QUALITY MANAGEMENT PLAN; 2023-07-12CITY OF CARLSBAD PRIORITY DEVELOPMENT PROJECT (PDP) STORM WATER QUALITY MANAGEMENT PLAN (SWQMP) FOR A VIARA APARTMENTS -WEST CT2018-0002 GR 2021-0050 / DWG 535-1A ENGINEER OF WORK: PREPARED FOR: WERMERS PROPERTIES 5120 Shoreham Place, Suite 150 San Diego, CA 92122 858-535-1475 PREPARED BY: SB&O, Inc. 3990 Ruffin Road, Suite 120 San Diego, CA 92123 858.560.1141 JN 76582.60 ORIGINAL DATE: November 22, 2022 ADDENDUM #1 DATE: July 12,, 2023 CERTIFICATION PAGE Project Name: A VIARA APTS -WEST ADDENDUM #1 Project ID: CT2018-0002 I GR 2021-0050 / DWG 535-1A I hereby declare that I am the Engineer in Responsible Charge of design of storm water BMPs for this project, and that I have exercised responsible charge over the design of the project as defined in Section 6703 of the Business and Professions Code, and that the design is consistent with the requirements of the BMP Design Manual, which is based on the requirements of SDRWQCB. Order No. R9-2013-0001 (MS4 Permit) or the current Order. I have read and understand that the City Engineer has adopted minimum requirements for managing urban runoff, including storm water, from land development activities, as described in the BMP Design Manual. I certify that this SWQMP has been completed to the best of my ability and accurately reflects the project being proposed and the applicable source control and site design BMPs proposed to minimize the potentially negative impacts of this project's land development activities on water quality. I understand and acknowledge that the plan check review of this SWQMP by the City Engineer is confined to a review and does not relieve me, as the Engineer in Responsible Charge of design of storm water BMPs for this project, of my responsibilities for project design. C47107 12/31/23 umber & Expiration Date Allen L Print Name SB&O, Inc Company July 12, 2023 Date D:\76582 Aviara Apts\13 Reports\SWQMP\Aviara West SWQMP 2023 0507 Sub2.DOCX SUMMARY OF PDP STRUCTURAL BMPS PDP Structural BMPs All PDPs must implement structural BMPs for storm water pollutant control (see Chapter 5 of the BMP Design Manual). Selection of PDP structural BMPs for storm water pollutant control must be based on the selection process described in Chapter 5. PDPs subject to hydromodification management requirements must also implement structural BMPs for flow control for hydromodification management (see Chapter 6 of the BMP Design Manual). Both storm water pollutant control and flow control for hydromodification management can be achieved within the same structural BMP(s). PDP structural BMPs must be verified by the City at the completion of construction. This may include requiring the project owner or project owner's representative to certify construction of the structural BMPs (see Section 1.12 of the BMP Design Manual). PDP structural BMPs must be maintained into perpetuity, and the City must confirm the maintenance (see Section 7 of the BMP Design Manual). Use this form to provide narrative description of the general strategy for structural BMP implementation at the project site in the box below. Then complete the PDP structural BMP summary information sheet for each structural BMP within the project (copy the BMP summary information page as many times as needed to provide summary information for each individual structural BMP). Describe the general strategy for structural BMP implementation at the site. This information must describe how the steps for selecting and designing storm water pollutant control BMPs presented in Section 5.1 of the BMP Design Manual were followed, and the results (type of BMPs selected). For projects requiring hydromodification flow control BMPs, indicate whether pollutant control and flow control BMPs are integrated together or separate. Based upon the project density and limited landscape area; Harvest and Reuse Feasibility (Form 1-7), is deemed infeasible. Per the proposed development's Geotechnical Report by Geo Soils, Inc., full infiltration is infeasible due to high probability of groundwater mounding (perched) which would potentially cause adverse effects to proposed improvements and existing adjacent improvements. Infiltration rate has been limited to 0.01 in/hr. or less. Partial retention basins with lined sides and unlined bottoms are recommended. Two (2) Biofiltration basins with partial retention (PR-1 ), will be used to provide treatment. Both BMPs drain to an underground hydromodification / detention basin (UDB). BMP-1, BMP-2 and UDB work in conjunction to provide HMP control and attenuation. The original UDB was a rectangular cross section concrete chambers with an open bottom on a gravel layer to allow for infiltration. The proposed pipe alternative consists of a 19' wide cross section, with dual 7' diameter perforated pipes on a permeable crushed rock bed. The storage volume modeled includes the same open bottom storage faci lity using the 7' diameter perforated pipes with a rock envelope. Approximately 500 feet of pipe is used in a side by side configuration, broken into two segments. The flowline of the pipes are level at 77.85, underlain by 6" of crushed rock bedding with rock backfill to 6'' above the top of pipe. The total combined storage volume of the pipes and rock void space is 27,127 CF. The outlet control structure has a flow line of 77.85, with a 1.25" low flow orifice at the bottom and a 60" wide x 6" tall rectangular overflow weir at a depth of 5.25'. The use of perforated pipe and rock bedding allows runoff volume to infiltrate and remain onsite . The upstream DMAs and surface basins were not modified .. 0100 inflow to the HMP system (BMP-1, BMP-2 and UDB) is estimated at 10.28 cfs (unchanged). 0 100 outflow (mitigated) is estimated at 2.04 cfs rcontinue on next paQe as necessary.] Structural BMP Summary Information Structural BMP ID No. UDB Pipe Alternative DWG 535-1 A Sheet No 19A-21 A Type of structural BMP: J Retention by harvest and use (HU-1) J Retention by infiltration basin (INF-1) J Retention by bioretention (INF-2) J Retention by permeable pavement (INF-3) J Dry Wells (INF-4) Partial retention by biofiltration with partial retention (PR-1) J Biofiltration (BF-1) J Proprietary Biofiltration (BF-3) J Flow-thru treatment control included as pre-treatment/forebay for an onsite retention cr biofiltration BMP (provide BMP type/description and indicate which onsite retention or biofiltration BMP it serves in discussion section below) X Detention pond or vault for hydromodification management Other (describe in discussion section below) Purpose: J Pollutant control only X Hydromodification control only Combined pollutant control and hydromodification control J Pre-treatment/forebay for another structural BMP J Other (describe in discussion section below) Discussion (as needed): Who will certify construction of this BMP? SB&O, EOW Who will be the final owner of this BMP? Owner Who will maintain this BMP into perpetuity? Owner ATTACHMENT 2 BACKUP FOR PDP HYDROMODIFICATION CONTROL MEASURES [This is the cover sheet for Attachment 2.) Indicate which Items are Included behind this cover sheet: Attachment Contents Checklist Sequence Attachment 2a Hydromodification Management J Included Exhibit (Required) See DMA Exhibit See Hydromodification Management Exhibit Checklist on the back of this Attachment cover sheet. Attachment 2b Management of Critical Coarse X Exhibit showing project drainage Sediment Yield Areas (WMAA boundaries marked on WMAA Exhibit is required, additional Critical Coarse Sediment Yield analyses are optional) Area Map (Required) See Section 6.2 of the BMP Design Optional analyses for Critical Manual. Coarse Sediment Yield Area Determination J Appendix H.6.1 Verification o Geomorphic Landscape Units Onsite X Appendix H.7 Downstream Systems Sensitivity to Coarse Sediment Attachment 2c Geomorphic Assessment of J Not performed Receiving Channels (Optional) X Included See Section 6.3.4 of the BMP Design Manual. Attachment 2d Flow Control Facility Design and X Included Structural BMP Drawdown Calculations (Required) See Chapter 6 and Appendix G of the BMP Design Manual Pl o t t e d : 7/ 1 0 / 2 0 2 3 1 2 : 2 1 P M D : \ 7 6 5 8 2 A V I A R A A P T S \ 0 3 D W G \ D X \ 7 6 5 8 2 D X 0 5 - P R O P O S E D D R A I N A G E . D W G - m g u a r i n DMA TOTAL AREA IMPERVIOUS IMPERVIOUS PERVIOUS EFFECTIVE IMPERVIOUS DCV SURFACE AREA REQUIRED * SURFACE AREA PROVIDED BMP TYPE / STANDARD BMP NO (SF)(SF)(%)(SF)(SF)(CF)(SF)(SF)ID N1A 47,818 45,427 95% 2,391 41,123 1,988 1,234 BIOFILTRATION PARTIAL PR-1 BMP-1 N1D 20,548 19,521 95% 1,027 17,877 864 536 BIOFILTRATION PARTIAL PR-1 BMP-1 N2A 73,343 69,676 95% 3,667 63,075 3,049 1,892 BIOFILTRATION PARTIAL PR-1 BMP-1 N2D 8,002 3,201 40% 4,801 4,321 209 130 BIOFILTRATION PARTIAL PR-1 BMP-1 149,711 137,824 92% 11,887 126,396 6,109 3,792 3,797 BIOFILTRATION PARTIAL PR-1 BMP-1 N3A 60,335 48,268 80% 12,067 44,648 2,158 1,339 BIOFILTRATION PARTIAL PR-1 BMP-2 N3D 28,606 14,303 50% 14,303 17,164 830 515 BIOFILTRATION PARTIAL PR-1 BMP-2 88,941 62,571 70% 26,370 61,812 2,988 1,854 2,195 BIOFILTRATION PARTIAL PR-1 BMP-2 - - - - - - - TOTAL 238,652 200,395 84% 38,257 188,208 9,097 Existing DMA Portion Area Imperv C (A) C (D)C C x A Description ID Soil A (ac) (%)(ac) Existing Warehouse / Lot E-1 0.7 5.48 85.0 0.80 0.81 0.803 4.40 Slope West E-2 0.0 1.29 0.0 0.20 0.35 0.350 0.45 Slope Southwest E-3 0.0 2.16 0.0 0.20 0.35 0.350 0.76 Slope Southwest E-4 0.1 2.81 0.0 0.20 0.35 0.335 0.94 Slope North E-5 1.0 0.35 0.0 0.20 0.35 0.200 0.07 TOTALS 12.09 38.53 0.548 6.62 Proposed DMA Portion Area Imperv C (A) C (D)C C x A Description ID Soil A (ac) (%)(ac) West BMP-1 N1A 1.00 1.10 95% 0.80 0.800 0.88 N1D 0.47 95% 0.81 0.38 N1 0.70 1.57 95% 0.803 1.26 Central BMP-1 N2A 1.00 1.68 95% 0.80 0.800 1.35 N2D 0.18 40% 0.37 0.07 N2 0.90 1.87 90% 0.758 1.41 East BMP-2 N3A 1.00 1.39 80% 0.76 1.05 N3D 0.66 50% 0.63 0.41 N3 0.7 2.04 70% 0.718 1.47 4.14 Site Runoff -CivilD 5.48 84% 0.755 4.14 EXIST. DRAINAGE AREA SUMMARY A VIARA WEST DMA AND BMP SUMMARY TABLE PROP. DRAINAGE AREA SUMMARY A VIARA WEST I I GRAPHIC SCALE 30' 0 30' 60' LEGEND DESCRIPT10N PROPERTY LINE/PROJECT BOUNDARY PROPOSED CURB AND GUTTER EXISDNG CONTOUR PROPOSED OMA LIMITS SOILS AREA DIRECDON OF DRAINAGE STORM DRAIN PIPE SIZE PER PLAN UNDERGROUND DETENDON BASIN SYMBOL ~ 6.!D ---______/ ------------ -so-so-so,- UDB OMA IDENDFIER •1DMA fl DMA AREA (AC.) ----------I--• 1.9600 90' PROPOSED DMA EXHIBIT FOR: AV/ARA APARTMENTS CARLSBAD, CALIFORNIA PLANNING ENGINEERING SURVEYING 3880 Ruffin Rosd, Suite 1 20 San Diego, Ca. !32123 858-560-11 41 858-560-8157 Fax 76582.25 ATTACHMENT 2D FLOW CONTROL DESIGN AND STRUCTURAL BMP DRAWDOWN CALCULATIONS REVISED SWMM MODEL ATTACHED PIPE ALTERNATIVE ATTACHMENT S.W.M.M. ~ HMP CONTINUOUS SIMULATION MODEL FOR: AVIARA APARTMENTS 1205 AVIARA PARKWAY CITY OF CARLSBAD, CA Revised: May 10, 2023 PREPARED BY: SB&D~ PLANNING ENGINEERING SURVEYING 3990 RUFFIN ROAD, SUITE 120 SAN DIEGO, CA 92123 858-560-1141 TABLE OF CONTENTS INTRODUCTION ............................................................................................................. 1 STORM WATER MANAGEMENT MODEL SOFTWARE ................................................ 1 POINT OF COMPLIANCE (POC) .................................................................................... 2 ANALYSIS ....................................................................................................................... 2 RAINFALL DATA ............................................................................................................. 2 EVAPORATION ............................................................................................................... 3 SUBCATCHMENTS ......................................................................................................... 3 STORAGE UNITS ........................................................................................................... 6 STATISTICS .................................................................................................................... 6 RESULTS ................................................................................................................................... ? i AVIARA APARTMENTS, 1205 AVIARA PARKWAY (858) 560-1141 S.W.M.M. ~ HMP CONTINUOUS SIMULATION SB&O Inc. www.SBOINC.com INTRODUCTION This report, "S.W.M.M. -HMP CONTINUOUS SIMULATION MODELING FOR AVIARA APARTMENTS -1205 AVIARA PARKWAY", is an attachment to the project Storm Water Quality Management Plan (SWQMP) and is not intended to be an independent document. The San Diego County final Hydromodification Management Plan (HMP) became effective in January of 2011, and is applicable to all priority projects regardless of size. The HMP model seeks to limit post development increases in runoff (magnitude and duration) for runoff event ranging from a fraction of the Q2 up to Q10. Hydromodification flow control is achieved for this project by routing runoff through the HMP control facility (basins). Outflow is restricted by using multiple control openings at each discharge. To determine the hydromodification controls and tank dimensions, Continuous Simulation Modeling was done using the EPA Storm Water Management Model (SWMM) software. Separate reports have been prepared to analyze the onsite 100-year storm capacity and to analyze the capacity of the downstream public drainage system. This document summarizes the approach used to model the proposed project site in the City of Carlsbad using the Environmental Protection Agency (EPA) Storm Water Management Model 5.0 (SWMM). SWMM simulations were prepared for the pre and post-development conditions to compare flows leaving the project site. In accordance with the City of Carlsbad BMP Design Manual ( dated February 16, 2016), this report evaluates the flows from 10% of the 2-yr (0.5Q2) to the 10-yr (Q10) storm events. In addition to Hydromodification, the proposed drainage design of the project site must comply with Flood Control and Pollutant Control requirements as mandated by the 2016 San Diego County Model BMP Design Manual. Please refer to the "Drainage Study" and "Storm Water Quality Management Plan" (SWQMP) prepared by REC Consultants for the discussion of these requirements. The project site is located at 1205 Aviara Parkway, City of Carlsbad, county of San Diego, California. The project site is bound by Aviara Parkway to the east, Canyon de las Encinas (hereafter referred to as "Encinas Creek") to the north, and undeveloped hillsides to the south and west. The project site consists of a total disturbed area of 5.48 acres. The proposed site improvements include a proposed 105,800 sf (approximately) combined apartment building and parking structure, landscaped areas, sidewalks, off-street parking and drive aisles. Proposed impervious areas will drain to proposed Bioretention Best Management Practices (BMP), which will treat runoff for water quality purposes. Proposed BMPs will drain to Underground Detention Basins (UDB). The BMPs and UDBs will work in conjunctions to detain and manage low flows for hydromodification purposes as well as mitigate flooding during the 100-yr storm event (Le.flood control). STORM WATER MANAGEMENT MODEL SOFTWARE EPA's Storm Water Management Model (SWMM) was first developed in 1971, and has since undergone several major upgrades. It continues to be widely used throughout the world for planning, analysis and design related to stormwater runoff, combined sewers, sanitary sewers, and other drainage systems in urban areas, with many applications in non-urban areas as well. AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. -HMP CONTINUOUS SIMULATION 1 SB&O Inc. (858) 560-1141 www.SBOINC.com This general purpose urban hydrology and conveyance system hydraulics software is a dynamic rainfall-runoff simulation model used for single event or long-term (continuous) simulation of runoff quantity and quality from primarily urban areas. The runoff component of SWMM operates on a collection of subcatchment areas that receive precipitation and generate runoff and pollutant loads. The routing portion of SWMM transports this runoff through a system of pipes, channels, storage/treatment devices, pumps, and regulators. SWMM tracks the quantity and quality of runoff generated within each subcatchment, and the flow rate, flow depth, and quality of water in each pipe and channel during a simulation period comprised of multiple time steps. EPA has recently extended SWMM 5 to explicitly model the hydrologic performance of specific types of low impact development (LID) controls, such as porous pavement, bio-retention areas (e.g., rain gardens, green roofs, and street planters), rain barrels, infiltration trenches, and vegetative swales. The updated model allows engineers and planners to accurately represent any combination of LID controls within a study area to determine their effectiveness in managing stormwater and combined sewer overflows. SWMM 5 was produced in a joint development effort with COM, Inc., a global consulting, engineering, construction, and operations firm. POINT OF COMPLIANCE (POC) There is one (1) point of compliance, denoted as POC-1, which is the northwest corner of the project site. In the pre-development condition, the project site generally drains southeast to northwest and outlets to POC-1. Runoff leaving the site eventually drains to Encinas Creek. In the post-development condition, proposed surface improvements and storm drain facilities direct runoff to BMPs; all BMPs eventually discharge to POC-1. The reported 100-yr discharge (Q100) at POC-1, in both pre-and post-development conditions, represents the flow leaving the project site. This flow includes discharge from existing run-on areas. ANALYSIS For the POC, two models were simulated: pre-development and post-development mitigated. The pre-development condition simulation is a representation of the undeveloped site. The post-developed site adds BMPs and the detention facilities to reduce flows to meet the HMP requirements. The performance standard requires the following: 1. For flow rates from 10% of the pre-project 2-year runoff event (0.1 Q2) to the pre-project 10-year runoff event (Q10), the post-project discharge rates and durations shall not deviate above the pre-project rates and durations by more than 10% over more than 10% of the length of the flow duration curve. 2. For flow rates from 0.1 Q2 to Q5, the post-project peak flows shall not exceed pre- project peak flows. For flow rates from Q5 to Q10, post-project peak flows may exceed AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. ~ HMP CONTINUOUS SIMULATION 2 SB&O Inc. (858) 560-1141 www.SBOINC.com pre-project flows by up to 10% for a 1-year frequency interval. For example, post-project flows could exceed pre-project flows by up to 10% for the interval from 09 to 010 or from 05.5 to 06.5, but not from 08 to 010. RAINFALL DATA Precipitation is the principal driving variable in rainfall-runoff-quantity simulation. The volume and rate of stormwater runoff depends directly on the precipitation magnitude, and its spatial and temporal distribution over the catchment. Each subcatchment in SWMM is linked to a Rain Gage object that describes the format and source of the rainfall input for the subcatchment. The same rain gage and time series is applied to all scenarios for this project. Long-term hourly rainfall records have been prepared for the San Diego rainfall stations. Sources of the rainfall data include ALERT data from the County of San Diego (which extend back to 1982), the California Climatic Data Archive, National Oceanic and Atmospheric Administration (NOAA), the National Climatic Data Center, and the Western Regional Climate Center. In all cases, the length of the overall rainfall station record is 35 years or the overall length of the rainfall record, whichever is longer. The Oceanside ALERT Station rainfall data was used for this project and can be found at, www.projectcleanwater.org. EVAPORATION Single event simulations are usually insensitive to the evaporation rate. Thus, evaporation is typically neglected when a single rainfall event or a synthetic storm is simulated. However, this process is more significant when a continuous simulation is performed because it is through evaporation that depression storage is recovered and water levels in extended detention and wet ponds are reduced; thus it becomes an important component of the overall water budget. This project is located in the California Irrigation Management Information System (CIMIS) Zone 4. Monthly averages are applied to this site as provided by CIMIS. SUBCATCHMENTS SWMM is a distributed model, which means that a study area can be subdivided into any number of irregular subcatchments to best capture the effect that spatial variability in topography, drainage pathways, land cover, and soil characteristics have on runoff generation. Each subcatchment can be further divided into three subareas: an impervious area with depression (detention) storage, an impervious area without depression storage, and a pervious area with depression storage. Only the latter area allows for rainfall losses due to infiltration into the soil. Described below are some of the characteristics of a subcatchment. Width/Length W =AREA~ LENGTH OF OVERLAND FLOW The width can be defined as the subcatchment area divided by the length of the longest un- concentrated overland flow path that water can travel. If there are several such paths, then one AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. ~ HMP CONTINUOUS SIMULATION 3 SB&O Inc. (858) 560-1141 www.SBOINC.com would use an average of their lengths to compute a width. In urbanized catchments, true overland flow can be very short before it is collected into channels or pipes. Slope This is the slope of the land surface over which runoff flows, and is the same for both the pervious and impervious surfaces. It is the slope of what one considers to be the overland flow path, or its area-weighted average, ifthere are several such paths in the subcatchment. The undeveloped site is sheet graded with an average overall gradient of 5%. The proposed site has variable grades throughout the development. Most of the site is graded to an average of 0.5% to match the slope of drainage around the buildings. Imperviousness This is the percentage of the subcatchment area that is covered by impervious surfaces, such as roofs and roadways, through which rainfall cannot infiltrate. Imperviousness tends to be the most sensitive parameter in the hydrologic characterization of a catchment, and can range anywhere from 0% for undeveloped areas up to 100% for high-density areas. The undeveloped site consists of an existing building, asphalt pavement, and landscaping, but was modeled as natural ground. The developed condition is approximately 84% impervious. Roughness Coefficient The roughness coefficient reflects the amount of resistance that overland flow encounters as it runs off of the subcatchment surface. Since SWMM uses the Manning equation to compute the overland flow rate, this coefficient is the same as Manning's roughness coefficient n. Separate values are required for the impervious and pervious fractions of a subcatchment since the pervious n is generally an order of magnitude higher than the impervious n. N-imperv = 0.012 N-perv = 0.05 Depression Storage "Dstore" Depression storage corresponds to a volume that must be filled prior to the occurrence of any runoff. Different values can be used for the pervious and impervious areas of a subcatchment. It represents initial abstractions such as surface ponding, interception by flat roofs and vegetation, and surface wetting. Typical "D" values· Surface D (in) Impervious surfaces (AC,PCC) 0.05 Proposed Landscaping 0.10 Existing Natural Terrain 0.15 Percent of Impervious Area without Depression Storage This parameter accounts for immediate runoff that occurs at the beginning of rainfall before depression storage is satisfied. It represents pavement close to the gutters that has no surface AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. -HMP CONTINUOUS SIMULATION 4 SB&O Inc. (858) 560-1141 www.SBOINC.com storage, pitched rooftops that drain directly to street gutters, new pavement that may not have surface ponding, etc. By default the value of this variable is 25%, but it can be changed in each subcatchment. Unless special circumstances are known to exist, a percent imperviousness area without depression storage of 25% is recommended. Subarea Routing Choice of internal routing of runoff between pervious and impervious areas: IMPERVIOUS: Runoff from pervious areas flow to impervious areas PERVIOUS: Runoff from impervious areas flow to pervious areas. OUTLET: Runoff from both areas flow directly to outlets. This project utilizes only the OUTLET routing option, as recommended in the San Diego County BMP Design Manual. Percent Routed The percentage of runoff from the subcatchment that is to be routed. In all cases this is 100%. Infiltration Model Three different methods for computing infiltration loss on the pervious areas of a subcatchment are available in SWMM. They are the Horton, Green-Amp! and Curve Number models. There is no general agreement on which model is best. The Horton model has a long history of use in dynamic simulations, the Green-Amp! model is more physically-based, and the Curve Number model is derived from (but not the same as) the well-known SGS Curve Number method used in simplified runoff models. We have chosen to use the Green-Am pt model for this project for type "A" soil: Suction Head= 1.5 inches Conductivity = 0.225 Initial Deficit= 0.33 We have chosen to use the Green-Am pt model for this project for type "D" soil: Suction Head = 9.0 inches Conductivity = 0.025 Initial Deficit = 0.3 A 25% reduction is applied to the conductivity to account for compacted soil conditions. The adjusted conductivity value is 0.0188. Low Im pact Development (LID) Controls LID Controls are low impact development practices designed to capture surface runoff and provide some combination of detention, infiltration, and evapotranspiration. They are considered as properties of a given subcatchment, similar to how Aquifers and Snow Packs are treated. SWMM can explicitly model five different generic types of LID controls: Bio-retention Cells (with AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. ~ HMP CONTINUOUS SIMULATION 5 SB&O Inc. (858) 560-1141 www.SBOINC.com impermeable liner option), Infiltration Trenches, Continuous Porous Pavement Systems, Rain Barrels (or Cisterns) and Vegetative Swales. Bio-retention cells, infiltration trenches, and porous pavement systems can all contain optional underdrain systems in their gravel storage beds to convey captured runoff off of the site rather than letting it all infiltrate. They can also have an impermeable floor or liner that prevents any infiltration into the native soil from occurring. Infiltration trenches and porous pavement systems can also be subject to a decrease in hydraulic conductivity over time due to clogging. STORAGE SWMM routes runoff through storage units such as ponds and tanks with outlet orifices and weirs. Tanks can be modeled using either a storage curve function or a depth-area table. For this project we inputted a depth-area table and do not allow for any storage infiltration. The storage volume modeled in this project is done through an open bottom storage facility using 7' diameter perforated pipes with a rock envelope. Approximately 500 feet of pipe is used is a side by side configuration, broken into two segments. The flowline of the pipes are level at 77 .85, underlain by 6" of crushed rock bedding with rock backfill to 6" above the top of pipe. The total combined storage volume of the pipes and rock void space is 27,127 CF. The use of perforated pipe and rock bedding allows runoff volume to infiltrate and remain onsite. The outlet control structure has a flow line of 77 .85, with a 1.25" low flow orifice at the bottom and a 6" by 60" rectangular overflow orifice at a depth of 5.25'. STATISTICS SWMM computes peak flow frequency statistics by constructing a partial-duration series. This involves examining the entire runoff time series generated by the model, dividing the runoff time series into a set of discrete unrelated events, determining the peak flow for each event, ranking the peak flows for all events and then computing the recurrence interval or plotting position for each storm event. A separation event, defined as a time period in which runoff does not exceed a prescribed threshold, is required to parse the long-term flow records into discrete runoff events. The separation event corresponds to the required number of consecutive time intervals (24 hours in this case) with a flow value less than Flow Floor 1 (0.002 cfs/acre). SWMM uses the Weibull method for construction of the partial-duration series, but the Final HMP gives preference to the Cunnane method. Both the Weibull and Cunnane methods result in very similar return periods and frequencies for events that occur below the 010, and do not begin significantly contrasting until the low frequency (high flow) ranges. We have converted the SWMM partial duration series to a Cunnane plotting for this report and have included a table at the end of this report. AREA SUMMARY TOTAL BMP PRE-5.4790 0.0000 AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. ~ HMP CONTINUOUS SIMULATION IMPERV PERVIOUS IMP. % 0.0000 5.4790 0 6 SB&O Inc. (858) 560-1141 www.SBOINC.com POST-5.4790 0.0000 4.6024 0.8766 84.0 NOTE: ALL AREAS SHOWN IN ACRES RESULTS For each HMP facility (each POC) the results are included at the end of this report and are summarized as follows: A. PEAK FLOW-EXCEEDANCE CURVE B. RUNOFF-DURATION CURVE (LOGARITHMIC) C. FLOW-DURATION DATA TABLE D. PEAK EVENT TABLE-EXISTING (INCLUDES Q2-Q10 THRESHOLDS) E. PEAK EVENT TABLE -POST-MITIGATED Observing flows between 0.1 Q2 and 010, each of these charts or tables show the flow control openings for the project HMP facility reduces the runoff from the site to below the pre-developed condition, and meets the performance standard requirements described above. AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. -HMP CONTINUOUS SIMULATION 7 SB&O Inc. (858) 560-1141 www.SBOINC.com APPENDIX I: POC #1 SWMM RESULTS A. PEAK FLOW-EXCEEDANCE CURVE B. RUNOFF-DURATION CURVE (LOGARITHMIC) C. FLOW-DURATION DATA TABLE D. PEAK EVENT TABLE -EXISTING (INCLUDES Q2-Q10 THRESHOLDS) E. PEAK EVENT TABLE-POST-MITIGATED F. POND STAGE-STORAGE-DISCHARGE TABLE AVIARA APARTMENTS, 1205 AVIARA PARKWAY S.W.M.M. -HMP CONTINUOUS SIMULATION SB&O Inc. (858) 560-1141 www.SBOINC.com 0.000 1.000 2.000 3.000 4.000 0.00E+00 1.00E-03 PE A K F L O W ( C F S ) % EXCEEDENCE P.O.C. 1: FLOW EXCEEDENCE PRE-DEV POST-MIT Q10 0.1Q2 ---·--·-. -. --• -• 4 ~ ·-. -·-. -. -.. -. ----· -- 1 l \ ' \ ~ ~ ----------------► - - -• -------------- 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 1 10 100 1000 PE A K F L O W ( C F S ) DURATION (HRS) P.O.C. 1: DURATION PRE-DEV POST-MIT Q10 0.1Q2 -. -. --·-·-·-. -. . --► • -""" -·-·-. ---· ----.._ ...... ....., ~ ~ - \ rt .... ...., ~I,, ~ ...._ ~ ~ ~ \ " " • "-- I\ r--. h ~ ~ ...... -~ -'._,__ r,. ... r--.. ----•• -----------•• 1----. . ----..... POC. #1: FLOW-DURATION TABLE Q2 = 1.699 CFS FRACTION = 1.0% 0.1Q2= 0.16994109 CFS Q10 = 3.706 CFS STEP = 0.035 CFS PERCENT PASS OR INTERVAL Q (CFS)HRS>Q % EXCEEDED HRS>Q % EXCEEDED POST/PRE FAIL 0 0.170 453 9.23E-04 430 8.76E-04 95% PASS 1 0.205 366 7.46E-04 372 7.58E-04 102% PASS 2 0.241 292 5.95E-04 193 3.93E-04 66% PASS 3 0.276 241 4.91E-04 104 2.12E-04 43% PASS 4 0.311 201 4.09E-04 93 1.89E-04 46% PASS 5 0.347 164 3.34E-04 86 1.75E-04 52% PASS 6 0.382 142 2.89E-04 84 1.71E-04 59% PASS 7 0.417 132 2.69E-04 78 1.59E-04 59% PASS 8 0.453 121 2.46E-04 71 1.45E-04 59% PASS 9 0.488 117 2.38E-04 64 1.30E-04 55% PASS 10 0.524 110 2.24E-04 58 1.18E-04 53% PASS 11 0.559 103 2.10E-04 57 1.16E-04 55% PASS 12 0.594 97 1.98E-04 56 1.14E-04 58% PASS 13 0.630 91 1.85E-04 51 1.04E-04 56% PASS 14 0.665 87 1.77E-04 45 9.17E-05 52% PASS 15 0.700 82 1.67E-04 44 8.96E-05 54% PASS 16 0.736 77 1.57E-04 42 8.56E-05 55% PASS 17 0.771 68 1.39E-04 39 7.94E-05 57% PASS 18 0.806 66 1.34E-04 37 7.54E-05 56% PASS 19 0.842 65 1.32E-04 37 7.54E-05 57% PASS 20 0.877 64 1.30E-04 36 7.33E-05 56% PASS 21 0.912 62 1.26E-04 33 6.72E-05 53% PASS 22 0.948 60 1.22E-04 32 6.52E-05 53% PASS 23 0.983 58 1.18E-04 30 6.11E-05 52% PASS 24 1.019 57 1.16E-04 29 5.91E-05 51% PASS 25 1.054 55 1.12E-04 27 5.50E-05 49% PASS 26 1.089 53 1.08E-04 26 5.30E-05 49% PASS 27 1.125 50 1.02E-04 25 5.09E-05 50% PASS 28 1.160 49 9.98E-05 22 4.48E-05 45% PASS 29 1.195 48 9.78E-05 20 4.07E-05 42% PASS 30 1.231 44 8.96E-05 18 3.67E-05 41% PASS 31 1.266 43 8.76E-05 17 3.46E-05 40% PASS 32 1.301 42 8.56E-05 16 3.26E-05 38% PASS 33 1.337 42 8.56E-05 15 3.06E-05 36% PASS 34 1.372 41 8.35E-05 15 3.06E-05 37% PASS 35 1.407 39 7.94E-05 15 3.06E-05 38% PASS 36 1.443 39 7.94E-05 14 2.85E-05 36% PASS 37 1.478 39 7.94E-05 13 2.65E-05 33% PASS 38 1.514 38 7.74E-05 13 2.65E-05 34% PASS 39 1.549 38 7.74E-05 12 2.44E-05 32% PASS 40 1.584 38 7.74E-05 11 2.24E-05 29% PASS 41 1.620 36 7.33E-05 11 2.24E-05 31% PASS 42 1.655 33 6.72E-05 11 2.24E-05 33% PASS 43 1.690 32 6.52E-05 11 2.24E-05 34% PASS 44 1.726 31 6.31E-05 11 2.24E-05 35% PASS 45 1.761 30 6.11E-05 11 2.24E-05 37% PASS 46 1.796 28 5.70E-05 11 2.24E-05 39% PASS 47 1.832 27 5.50E-05 11 2.24E-05 41% PASS 48 1.867 26 5.30E-05 10 2.04E-05 38% PASS EXISTING POST-MITIGATED 4/11/2023 71132.60D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 49 1.902 25 5.09E-05 9 1.83E-05 36% PASS 50 1.938 25 5.09E-05 8 1.63E-05 32% PASS 51 1.973 23 4.69E-05 8 1.63E-05 35% PASS 52 2.009 23 4.69E-05 7 1.43E-05 30% PASS 53 2.044 21 4.28E-05 6 1.22E-05 29% PASS 54 2.079 21 4.28E-05 6 1.22E-05 29% PASS 55 2.115 21 4.28E-05 6 1.22E-05 29% PASS 56 2.150 20 4.07E-05 6 1.22E-05 30% PASS 57 2.185 19 3.87E-05 6 1.22E-05 32% PASS 58 2.221 19 3.87E-05 6 1.22E-05 32% PASS 59 2.256 19 3.87E-05 6 1.22E-05 32% PASS 60 2.291 18 3.67E-05 6 1.22E-05 33% PASS 61 2.327 18 3.67E-05 6 1.22E-05 33% PASS 62 2.362 18 3.67E-05 6 1.22E-05 33% PASS 63 2.397 17 3.46E-05 6 1.22E-05 35% PASS 64 2.433 17 3.46E-05 6 1.22E-05 35% PASS 65 2.468 17 3.46E-05 6 1.22E-05 35% PASS 66 2.504 16 3.26E-05 6 1.22E-05 38% PASS 67 2.539 16 3.26E-05 6 1.22E-05 38% PASS 68 2.574 16 3.26E-05 6 1.22E-05 38% PASS 69 2.610 15 3.06E-05 5 1.02E-05 33% PASS 70 2.645 13 2.65E-05 5 1.02E-05 38% PASS 71 2.680 13 2.65E-05 5 1.02E-05 38% PASS 72 2.716 13 2.65E-05 5 1.02E-05 38% PASS 73 2.751 11 2.24E-05 5 1.02E-05 45% PASS 74 2.786 11 2.24E-05 5 1.02E-05 45% PASS 75 2.822 11 2.24E-05 5 1.02E-05 45% PASS 76 2.857 11 2.24E-05 5 1.02E-05 45% PASS 77 2.893 11 2.24E-05 5 1.02E-05 45% PASS 78 2.928 10 2.04E-05 5 1.02E-05 50% PASS 79 2.963 9 1.83E-05 5 1.02E-05 56% PASS 80 2.999 8 1.63E-05 5 1.02E-05 63% PASS 81 3.034 8 1.63E-05 5 1.02E-05 63% PASS 82 3.069 7 1.43E-05 5 1.02E-05 71% PASS 83 3.105 7 1.43E-05 5 1.02E-05 71% PASS 84 3.140 7 1.43E-05 5 1.02E-05 71% PASS 85 3.175 7 1.43E-05 5 1.02E-05 71% PASS 86 3.211 7 1.43E-05 5 1.02E-05 71% PASS 87 3.246 7 1.43E-05 5 1.02E-05 71% PASS 88 3.281 6 1.22E-05 5 1.02E-05 83% PASS 89 3.317 6 1.22E-05 4 8.15E-06 67% PASS 90 3.352 5 1.02E-05 4 8.15E-06 80% PASS 91 3.388 5 1.02E-05 4 8.15E-06 80% PASS 92 3.423 5 1.02E-05 4 8.15E-06 80% PASS 93 3.458 5 1.02E-05 4 8.15E-06 80% PASS 94 3.494 5 1.02E-05 4 8.15E-06 80% PASS 95 3.529 5 1.02E-05 4 8.15E-06 80% PASS 96 3.564 5 1.02E-05 4 8.15E-06 80% PASS 97 3.600 5 1.02E-05 4 8.15E-06 80% PASS 98 3.635 5 1.02E-05 4 8.15E-06 80% PASS 99 3.670 5 1.02E-05 4 8.15E-06 80% PASS 100 3.706 5 1.02E-05 4 8.15E-06 80% PASS 4/11/2023 71132.60D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx P.O.C. #1: PEAK EVENTS - EXISTING WEIBULL (SWMM)CUNNANE F = m/(nr+1) where F = frequency F = (i-0.4)/(n+0.2) m = event rank i = rank nr = total number of event n = sample size = # of storms n = number of year anlayzed Number of Years Analyzed (n): 56.04 Total number of events (nr)379 m or i F Return (yrs)F Return Q Q2 1.699 1 0.26% 57.04 0.16% 93.73 5.506 Q3 2.121 2 0.53% 28.52 0.42% 35.15 4.968 Q4 2.545 3 0.79% 19.01 0.69% 21.63 4.925 Q5 2.669 4 1.05% 14.26 0.95% 15.62 4.277 Q6 2.790 5 1.32% 11.41 1.21% 12.23 4.251 Q7 3.019 6 1.58% 9.51 1.48% 10.04 3.320 Q8 3.170 7 1.84% 8.15 1.74% 8.52 3.253 Q9 3.277 8 2.11% 7.13 2.00% 7.40 3.050 Q10 3.706 9 2.37% 6.34 2.27% 6.54 2.975 10 2.63% 5.70 2.53% 5.86 2.737 START 5/23/1952 00:00 11 2.89% 5.19 2.80% 5.31 2.737 END 5/23/2008 23:00 12 3.16% 4.75 3.06% 4.85 2.633 TOTAL YRS 56.04 13 3.42% 4.39 3.32% 4.46 2.630 TOTAL HRS 490919 14 3.68% 4.07 3.59% 4.14 2.608 15 3.95% 3.80 3.85% 3.85 2.470 16 4.21% 3.57 4.11% 3.61 2.383 17 4.47% 3.36 4.38% 3.39 2.266 18 4.74% 3.17 4.64% 3.20 2.168 19 5.00% 3.00 4.91% 3.02 2.136 20 5.26% 2.85 5.17% 2.87 2.023 21 5.53% 2.72 5.43% 2.73 1.969 22 5.79% 2.59 5.70% 2.60 1.968 23 6.05% 2.48 5.96% 2.49 1.851 24 6.32% 2.38 6.22% 2.38 1.819 25 6.58% 2.28 6.49% 2.29 1.786 26 6.84% 2.19 6.75% 2.20 1.773 27 7.11% 2.11 7.01% 2.11 1.753 28 7.37% 2.04 7.28% 2.04 1.713 29 7.63% 1.97 7.54% 1.97 1.687 30 7.89% 1.90 7.81% 1.90 1.628 31 8.16% 1.84 8.07% 1.84 1.620 32 8.42% 1.78 8.33% 1.78 1.593 33 8.68% 1.73 8.60% 1.73 1.489 34 8.95% 1.68 8.86% 1.67 1.400 35 9.21% 1.63 9.12% 1.63 1.373 36 9.47% 1.58 9.39% 1.58 1.345 37 9.74% 1.54 9.65% 1.54 1.272 38 10.00% 1.50 9.92% 1.50 1.225 39 10.26% 1.46 10.18% 1.46 1.206 40 10.53% 1.43 10.44% 1.42 1.187 Cunnane Weibull PEAK EVENTS SUMMARY OF I I I I I I I I I 41 10.79% 1.39 10.71% 1.39 1.138 42 11.05% 1.36 10.97% 1.35 1.111 43 11.32% 1.33 11.23% 1.32 1.110 44 11.58% 1.30 11.50% 1.29 1.100 45 11.84% 1.27 11.76% 1.26 1.078 46 12.11% 1.24 12.03% 1.23 1.054 47 12.37% 1.21 12.29% 1.21 1.038 48 12.63% 1.19 12.55% 1.18 1.026 49 12.89% 1.16 12.82% 1.16 0.963 50 13.16% 1.14 13.08% 1.13 0.956 51 13.42% 1.12 13.34% 1.11 0.897 52 13.68% 1.10 13.61% 1.09 0.882 53 13.95% 1.08 13.87% 1.07 0.824 54 14.21% 1.06 14.14% 1.05 0.793 55 14.47% 1.04 14.40% 1.03 0.779 56 14.74% 1.02 14.66% 1.01 0.753 57 15.00% 1.00 14.93% 0.99 0.753 58 15.26% 0.98 15.19% 0.98 0.753 59 15.53% 0.97 15.45% 0.96 0.745 60 15.79% 0.95 15.72% 0.94 0.743 61 16.05% 0.94 15.98% 0.93 0.735 62 16.32% 0.92 16.24% 0.91 0.731 63 16.58% 0.91 16.51% 0.90 0.726 64 16.84% 0.89 16.77% 0.88 0.719 65 17.11% 0.88 17.04% 0.87 0.712 66 17.37% 0.86 17.30% 0.86 0.686 67 17.63% 0.85 17.56% 0.84 0.685 68 17.89% 0.84 17.83% 0.83 0.655 69 18.16% 0.83 18.09% 0.82 0.647 70 18.42% 0.81 18.35% 0.81 0.634 71 18.68% 0.80 18.62% 0.80 0.603 72 18.95% 0.79 18.88% 0.79 0.599 73 19.21% 0.78 19.15% 0.77 0.595 74 19.47% 0.77 19.41% 0.76 0.572 75 19.74% 0.76 19.67% 0.75 0.566 76 20.00% 0.75 19.94% 0.74 0.556 77 20.26% 0.74 20.20% 0.73 0.544 78 20.53% 0.73 20.46% 0.72 0.541 79 20.79% 0.72 20.73% 0.72 0.539 80 21.05% 0.71 20.99% 0.71 0.526 81 21.32% 0.70 21.26% 0.70 0.518 82 21.58% 0.70 21.52% 0.69 0.506 83 21.84% 0.69 21.78% 0.68 0.500 84 22.11% 0.68 22.05% 0.67 0.496 85 22.37% 0.67 22.31% 0.66 0.492 86 22.63% 0.66 22.57% 0.66 0.467 87 22.89% 0.66 22.84% 0.65 0.444 88 23.16% 0.65 23.10% 0.64 0.437 89 23.42% 0.64 23.36% 0.63 0.436 90 23.68% 0.63 23.63% 0.63 0.435 91 23.95% 0.63 23.89% 0.62 0.434 92 24.21% 0.62 24.16% 0.61 0.434 93 24.47% 0.61 24.42% 0.61 0.432 94 24.74% 0.61 24.68% 0.60 0.428 95 25.00% 0.60 24.95% 0.59 0.399 96 25.26% 0.59 25.21% 0.59 0.398 97 25.53% 0.59 25.47% 0.58 0.391 98 25.79% 0.58 25.74% 0.58 0.390 99 26.05% 0.58 26.00% 0.57 0.390 100 26.32% 0.57 26.27% 0.56 0.387 101 26.58% 0.56 26.53% 0.56 0.384 102 26.84% 0.56 26.79% 0.55 0.383 103 27.11% 0.55 27.06% 0.55 0.377 104 27.37% 0.55 27.32% 0.54 0.374 105 27.63% 0.54 27.58% 0.54 0.371 106 27.89% 0.54 27.85% 0.53 0.370 107 28.16% 0.53 28.11% 0.53 0.369 108 28.42% 0.53 28.38% 0.52 0.368 109 28.68% 0.52 28.64% 0.52 0.360 110 28.95% 0.52 28.90% 0.51 0.357 111 29.21% 0.51 29.17% 0.51 0.357 112 29.47% 0.51 29.43% 0.50 0.352 113 29.74% 0.50 29.69% 0.50 0.347 114 30.00% 0.50 29.96% 0.50 0.345 115 30.26% 0.50 30.22% 0.49 0.340 116 30.53% 0.49 30.49% 0.49 0.337 117 30.79% 0.49 30.75% 0.48 0.331 118 31.05% 0.48 31.01% 0.48 0.330 119 31.32% 0.48 31.28% 0.47 0.330 120 31.58% 0.48 31.54% 0.47 0.329 121 31.84% 0.47 31.80% 0.47 0.327 122 32.11% 0.47 32.07% 0.46 0.327 123 32.37% 0.46 32.33% 0.46 0.327 124 32.63% 0.46 32.59% 0.46 0.326 125 32.89% 0.46 32.86% 0.45 0.323 126 33.16% 0.45 33.12% 0.45 0.321 127 33.42% 0.45 33.39% 0.44 0.317 128 33.68% 0.45 33.65% 0.44 0.315 129 33.95% 0.44 33.91% 0.44 0.313 130 34.21% 0.44 34.18% 0.43 0.312 131 34.47% 0.44 34.44% 0.43 0.311 132 34.74% 0.43 34.70% 0.43 0.310 133 35.00% 0.43 34.97% 0.42 0.310 134 35.26% 0.43 35.23% 0.42 0.307 135 35.53% 0.42 35.50% 0.42 0.306 136 35.79% 0.42 35.76% 0.41 0.303 137 36.05% 0.42 36.02% 0.41 0.302 138 36.32% 0.41 36.29% 0.41 0.301 139 36.58% 0.41 36.55% 0.41 0.300 140 36.84% 0.41 36.81% 0.40 0.296 141 37.11% 0.40 37.08% 0.40 0.294 142 37.37% 0.40 37.34% 0.40 0.294 143 37.63% 0.40 37.61% 0.39 0.293 144 37.89% 0.40 37.87% 0.39 0.293 145 38.16% 0.39 38.13% 0.39 0.292 146 38.42% 0.39 38.40% 0.39 0.292 147 38.68% 0.39 38.66% 0.38 0.287 148 38.95% 0.39 38.92% 0.38 0.284 149 39.21% 0.38 39.19% 0.38 0.284 150 39.47% 0.38 39.45% 0.38 0.283 151 39.74% 0.38 39.72% 0.37 0.281 152 40.00% 0.38 39.98% 0.37 0.280 153 40.26% 0.37 40.24% 0.37 0.279 154 40.53% 0.37 40.51% 0.37 0.276 155 40.79% 0.37 40.77% 0.36 0.276 156 41.05% 0.37 41.03% 0.36 0.272 157 41.32% 0.36 41.30% 0.36 0.272 158 41.58% 0.36 41.56% 0.36 0.270 159 41.84% 0.36 41.82% 0.35 0.268 160 42.11% 0.36 42.09% 0.35 0.266 161 42.37% 0.35 42.35% 0.35 0.262 162 42.63% 0.35 42.62% 0.35 0.262 163 42.89% 0.35 42.88% 0.35 0.261 164 43.16% 0.35 43.14% 0.34 0.254 165 43.42% 0.35 43.41% 0.34 0.253 166 43.68% 0.34 43.67% 0.34 0.252 167 43.95% 0.34 43.93% 0.34 0.252 168 44.21% 0.34 44.20% 0.34 0.250 169 44.47% 0.34 44.46% 0.33 0.248 170 44.74% 0.34 44.73% 0.33 0.246 171 45.00% 0.33 44.99% 0.33 0.245 172 45.26% 0.33 45.25% 0.33 0.242 173 45.53% 0.33 45.52% 0.33 0.241 174 45.79% 0.33 45.78% 0.32 0.241 175 46.05% 0.33 46.04% 0.32 0.241 176 46.32% 0.32 46.31% 0.32 0.240 177 46.58% 0.32 46.57% 0.32 0.239 178 46.84% 0.32 46.84% 0.32 0.238 179 47.11% 0.32 47.10% 0.31 0.234 180 47.37% 0.32 47.36% 0.31 0.233 181 47.63% 0.32 47.63% 0.31 0.232 182 47.89% 0.31 47.89% 0.31 0.231 183 48.16% 0.31 48.15% 0.31 0.227 184 48.42% 0.31 48.42% 0.31 0.225 185 48.68% 0.31 48.68% 0.30 0.225 186 48.95% 0.31 48.95% 0.30 0.218 187 49.21% 0.31 49.21% 0.30 0.217 188 49.47% 0.30 49.47% 0.30 0.215 189 49.74% 0.30 49.74% 0.30 0.214 190 50.00% 0.30 50.00% 0.30 0.212 191 50.26% 0.30 50.26% 0.30 0.211 192 50.53% 0.30 50.53% 0.29 0.209 193 50.79% 0.30 50.79% 0.29 0.205 194 51.05% 0.29 51.05% 0.29 0.204 195 51.32% 0.29 51.32% 0.29 0.202 196 51.58% 0.29 51.58% 0.29 0.201 197 51.84% 0.29 51.85% 0.29 0.198 198 52.11% 0.29 52.11% 0.28 0.197 199 52.37% 0.29 52.37% 0.28 0.193 200 52.63% 0.29 52.64% 0.28 0.191 201 52.89% 0.28 52.90% 0.28 0.190 202 53.16% 0.28 53.16% 0.28 0.185 203 53.42% 0.28 53.43% 0.28 0.184 204 53.68% 0.28 53.69% 0.28 0.184 205 53.95% 0.28 53.96% 0.27 0.183 206 54.21% 0.28 54.22% 0.27 0.183 207 54.47% 0.28 54.48% 0.27 0.181 208 54.74% 0.27 54.75% 0.27 0.181 209 55.00% 0.27 55.01% 0.27 0.180 210 55.26% 0.27 55.27% 0.27 0.176 211 55.53% 0.27 55.54% 0.27 0.176 212 55.79% 0.27 55.80% 0.27 0.176 213 56.05% 0.27 56.07% 0.26 0.173 214 56.32% 0.27 56.33% 0.26 0.172 215 56.58% 0.27 56.59% 0.26 0.171 216 56.84% 0.26 56.86% 0.26 0.170 217 57.11% 0.26 57.12% 0.26 0.170 218 57.37% 0.26 57.38% 0.26 0.170 219 57.63% 0.26 57.65% 0.26 0.169 220 57.89% 0.26 57.91% 0.26 0.168 221 58.16% 0.26 58.18% 0.25 0.168 222 58.42% 0.26 58.44% 0.25 0.166 223 58.68% 0.26 58.70% 0.25 0.164 224 58.95% 0.25 58.97% 0.25 0.162 225 59.21% 0.25 59.23% 0.25 0.159 226 59.47% 0.25 59.49% 0.25 0.158 227 59.74% 0.25 59.76% 0.25 0.158 228 60.00% 0.25 60.02% 0.25 0.158 229 60.26% 0.25 60.28% 0.25 0.156 230 60.53% 0.25 60.55% 0.24 0.156 231 60.79% 0.25 60.81% 0.24 0.156 232 61.05% 0.25 61.08% 0.24 0.156 233 61.32% 0.24 61.34% 0.24 0.154 234 61.58% 0.24 61.60% 0.24 0.154 235 61.84% 0.24 61.87% 0.24 0.152 236 62.11% 0.24 62.13% 0.24 0.151 237 62.37% 0.24 62.39% 0.24 0.150 238 62.63% 0.24 62.66% 0.24 0.148 239 62.89% 0.24 62.92% 0.24 0.147 240 63.16% 0.24 63.19% 0.23 0.147 241 63.42% 0.24 63.45% 0.23 0.144 242 63.68% 0.24 63.71% 0.23 0.144 243 63.95% 0.23 63.98% 0.23 0.143 244 64.21% 0.23 64.24% 0.23 0.142 245 64.47% 0.23 64.50% 0.23 0.140 246 64.74% 0.23 64.77% 0.23 0.139 247 65.00% 0.23 65.03% 0.23 0.138 248 65.26% 0.23 65.30% 0.23 0.138 249 65.53% 0.23 65.56% 0.23 0.138 250 65.79% 0.23 65.82% 0.23 0.138 251 66.05% 0.23 66.09% 0.22 0.136 252 66.32% 0.23 66.35% 0.22 0.136 253 66.58% 0.23 66.61% 0.22 0.135 254 66.84% 0.22 66.88% 0.22 0.134 255 67.11% 0.22 67.14% 0.22 0.130 256 67.37% 0.22 67.41% 0.22 0.129 257 67.63% 0.22 67.67% 0.22 0.126 258 67.89% 0.22 67.93% 0.22 0.125 259 68.16% 0.22 68.20% 0.22 0.125 260 68.42% 0.22 68.46% 0.22 0.124 261 68.68% 0.22 68.72% 0.22 0.124 262 68.95% 0.22 68.99% 0.21 0.123 263 69.21% 0.22 69.25% 0.21 0.122 264 69.47% 0.22 69.51% 0.21 0.120 265 69.74% 0.22 69.78% 0.21 0.119 266 70.00% 0.21 70.04% 0.21 0.119 267 70.26% 0.21 70.31% 0.21 0.117 268 70.53% 0.21 70.57% 0.21 0.116 269 70.79% 0.21 70.83% 0.21 0.113 270 71.05% 0.21 71.10% 0.21 0.110 271 71.32% 0.21 71.36% 0.21 0.110 272 71.58% 0.21 71.62% 0.21 0.109 273 71.84% 0.21 71.89% 0.21 0.105 274 72.11% 0.21 72.15% 0.21 0.102 275 72.37% 0.21 72.42% 0.20 0.095 276 72.63% 0.21 72.68% 0.20 0.094 277 72.89% 0.21 72.94% 0.20 0.094 278 73.16% 0.21 73.21% 0.20 0.094 279 73.42% 0.20 73.47% 0.20 0.093 280 73.68% 0.20 73.73% 0.20 0.092 281 73.95% 0.20 74.00% 0.20 0.092 282 74.21% 0.20 74.26% 0.20 0.090 283 74.47% 0.20 74.53% 0.20 0.090 284 74.74% 0.20 74.79% 0.20 0.090 285 75.00% 0.20 75.05% 0.20 0.090 286 75.26% 0.20 75.32% 0.20 0.089 287 75.53% 0.20 75.58% 0.20 0.085 288 75.79% 0.20 75.84% 0.20 0.082 289 76.05% 0.20 76.11% 0.19 0.082 290 76.32% 0.20 76.37% 0.19 0.082 291 76.58% 0.20 76.64% 0.19 0.081 292 76.84% 0.20 76.90% 0.19 0.081 293 77.11% 0.19 77.16% 0.19 0.081 294 77.37% 0.19 77.43% 0.19 0.080 295 77.63% 0.19 77.69% 0.19 0.079 296 77.89% 0.19 77.95% 0.19 0.079 297 78.16% 0.19 78.22% 0.19 0.078 298 78.42% 0.19 78.48% 0.19 0.076 299 78.68% 0.19 78.74% 0.19 0.075 300 78.95% 0.19 79.01% 0.19 0.075 301 79.21% 0.19 79.27% 0.19 0.073 302 79.47% 0.19 79.54% 0.19 0.072 303 79.74% 0.19 79.80% 0.19 0.071 304 80.00% 0.19 80.06% 0.19 0.070 305 80.26% 0.19 80.33% 0.18 0.069 306 80.53% 0.19 80.59% 0.18 0.069 307 80.79% 0.19 80.85% 0.18 0.065 308 81.05% 0.19 81.12% 0.18 0.065 309 81.32% 0.18 81.38% 0.18 0.065 310 81.58% 0.18 81.65% 0.18 0.064 311 81.84% 0.18 81.91% 0.18 0.064 312 82.11% 0.18 82.17% 0.18 0.063 313 82.37% 0.18 82.44% 0.18 0.061 314 82.63% 0.18 82.70% 0.18 0.060 315 82.89% 0.18 82.96% 0.18 0.058 316 83.16% 0.18 83.23% 0.18 0.057 317 83.42% 0.18 83.49% 0.18 0.057 318 83.68% 0.18 83.76% 0.18 0.056 319 83.95% 0.18 84.02% 0.18 0.056 320 84.21% 0.18 84.28% 0.18 0.056 321 84.47% 0.18 84.55% 0.18 0.055 322 84.74% 0.18 84.81% 0.17 0.052 323 85.00% 0.18 85.07% 0.17 0.052 324 85.26% 0.18 85.34% 0.17 0.052 325 85.53% 0.18 85.60% 0.17 0.050 326 85.79% 0.17 85.86% 0.17 0.049 327 86.05% 0.17 86.13% 0.17 0.048 328 86.32% 0.17 86.39% 0.17 0.048 329 86.58% 0.17 86.66% 0.17 0.048 330 86.84% 0.17 86.92% 0.17 0.047 331 87.11% 0.17 87.18% 0.17 0.046 332 87.37% 0.17 87.45% 0.17 0.046 333 87.63% 0.17 87.71% 0.17 0.045 334 87.89% 0.17 87.97% 0.17 0.045 335 88.16% 0.17 88.24% 0.17 0.044 336 88.42% 0.17 88.50% 0.17 0.044 337 88.68% 0.17 88.77% 0.17 0.043 338 88.95% 0.17 89.03% 0.17 0.042 339 89.21% 0.17 89.29% 0.17 0.041 340 89.47% 0.17 89.56% 0.17 0.041 341 89.74% 0.17 89.82% 0.17 0.041 342 90.00% 0.17 90.08% 0.16 0.040 343 90.26% 0.17 90.35% 0.16 0.040 344 90.53% 0.17 90.61% 0.16 0.039 345 90.79% 0.17 90.88% 0.16 0.038 346 91.05% 0.16 91.14% 0.16 0.038 347 91.32% 0.16 91.40% 0.16 0.037 348 91.58% 0.16 91.67% 0.16 0.036 349 91.84% 0.16 91.93% 0.16 0.036 350 92.11% 0.16 92.19% 0.16 0.036 351 92.37% 0.16 92.46% 0.16 0.033 352 92.63% 0.16 92.72% 0.16 0.033 353 92.89% 0.16 92.99% 0.16 0.032 354 93.16% 0.16 93.25% 0.16 0.031 355 93.42% 0.16 93.51% 0.16 0.028 356 93.68% 0.16 93.78% 0.16 0.027 357 93.95% 0.16 94.04% 0.16 0.026 358 94.21% 0.16 94.30% 0.16 0.026 359 94.47% 0.16 94.57% 0.16 0.026 360 94.74% 0.16 94.83% 0.16 0.024 361 95.00% 0.16 95.09% 0.16 0.024 362 95.26% 0.16 95.36% 0.16 0.022 363 95.53% 0.16 95.62% 0.16 0.022 364 95.79% 0.16 95.89% 0.15 0.022 365 96.05% 0.16 96.15% 0.15 0.021 366 96.32% 0.16 96.41% 0.15 0.021 367 96.58% 0.16 96.68% 0.15 0.021 368 96.84% 0.16 96.94% 0.15 0.019 369 97.11% 0.15 97.20% 0.15 0.018 370 97.37% 0.15 97.47% 0.15 0.016 371 97.63% 0.15 97.73% 0.15 0.016 372 97.89% 0.15 98.00% 0.15 0.014 373 98.16% 0.15 98.26% 0.15 0.013 374 98.42% 0.15 98.52% 0.15 0.013 375 98.68% 0.15 98.79% 0.15 0.013 376 98.95% 0.15 99.05% 0.15 0.012 377 99.21% 0.15 99.31% 0.15 0.012 378 99.47% 0.15 99.58% 0.15 0.011 379 99.74% 0.15 99.84% 0.15 0.011 POC #1: PEAK EVENTS - POST MITIGATED WEIBULL (SWMM)CUNNANE F = m/(nr+1) where F = frequency F = (i-0.4)/(n+0.2) m = event rank i = rank nr = total number of event n = sample size = # of storms n = number of year anlayzed Number of Years Analyzed (n): 56.04 Total number of events (nr)510 m or i F Return (yrs)F Return Q Q2 0.424 1 0.20% 57.04 0.12% 93.73 6.008 Q3 1.032 2 0.39% 28.52 0.31% 35.15 5.196 Q4 1.227 3 0.59% 19.01 0.51% 21.63 3.833 Q5 1.426 4 0.78% 14.26 0.71% 15.62 3.296 Q6 1.599 5 0.98% 11.41 0.90% 12.23 2.584 Q7 1.908 6 1.17% 9.51 1.10% 10.04 2.010 Q8 1.958 7 1.37% 8.15 1.29% 8.52 1.977 Q9 1.989 8 1.57% 7.13 1.49% 7.40 1.931 Q10 2.252 9 1.76% 6.34 1.69% 6.54 1.877 10 1.96% 5.70 1.88% 5.86 1.519 START 5/23/1952 00:00 11 2.15% 5.19 2.08% 5.31 1.457 END 5/23/2008 23:00 12 2.35% 4.75 2.27% 4.85 1.410 TOTAL YRS 56.04 13 2.54% 4.39 2.47% 4.46 1.332 TOTAL HRS 490919 14 2.74% 4.07 2.67% 4.14 1.282 15 2.94% 3.80 2.86% 3.85 1.162 16 3.13% 3.57 3.06% 3.61 1.156 17 3.33% 3.36 3.25% 3.39 1.098 18 3.52% 3.17 3.45% 3.20 1.070 19 3.72% 3.00 3.65% 3.02 1.043 20 3.91% 2.85 3.84% 2.87 0.958 21 4.11% 2.72 4.04% 2.73 0.800 22 4.31% 2.59 4.23% 2.60 0.784 23 4.50% 2.48 4.43% 2.49 0.755 24 4.70% 2.38 4.63% 2.38 0.662 25 4.89% 2.28 4.82% 2.29 0.661 26 5.09% 2.19 5.02% 2.20 0.643 27 5.28% 2.11 5.21% 2.11 0.637 28 5.48% 2.04 5.41% 2.04 0.435 29 5.68% 1.97 5.61% 1.97 0.414 30 5.87% 1.90 5.80% 1.90 0.402 31 6.07% 1.84 6.00% 1.84 0.247 32 6.26% 1.78 6.19% 1.78 0.245 33 6.46% 1.73 6.39% 1.73 0.244 34 6.65% 1.68 6.59% 1.67 0.234 35 6.85% 1.63 6.78% 1.63 0.195 36 7.05% 1.58 6.98% 1.58 0.173 37 7.24% 1.54 7.17% 1.54 0.143 38 7.44% 1.50 7.37% 1.50 0.142 39 7.63% 1.46 7.57% 1.46 0.142 40 7.83% 1.43 7.76% 1.42 0.140 Weibull Cunnane PEAK EVENTS SUMMARY OF D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 I I I I I I I I I 41 8.02% 1.39 7.96% 1.39 0.138 42 8.22% 1.36 8.15% 1.35 0.138 43 8.41% 1.33 8.35% 1.32 0.138 44 8.61% 1.30 8.55% 1.29 0.137 45 8.81% 1.27 8.74% 1.26 0.137 46 9.00% 1.24 8.94% 1.23 0.137 47 9.20% 1.21 9.13% 1.21 0.136 48 9.39% 1.19 9.33% 1.18 0.135 49 9.59% 1.16 9.53% 1.16 0.134 50 9.78% 1.14 9.72% 1.13 0.134 51 9.98% 1.12 9.92% 1.11 0.133 52 10.18% 1.10 10.11% 1.09 0.133 53 10.37% 1.08 10.31% 1.07 0.133 54 10.57% 1.06 10.51% 1.05 0.133 55 10.76% 1.04 10.70% 1.03 0.131 56 10.96% 1.02 10.90% 1.01 0.130 57 11.15% 1.00 11.09% 0.99 0.130 58 11.35% 0.98 11.29% 0.98 0.130 59 11.55% 0.97 11.49% 0.96 0.130 60 11.74% 0.95 11.68% 0.94 0.129 61 11.94% 0.94 11.88% 0.93 0.129 62 12.13% 0.92 12.07% 0.91 0.128 63 12.33% 0.91 12.27% 0.90 0.127 64 12.52% 0.89 12.47% 0.88 0.127 65 12.72% 0.88 12.66% 0.87 0.127 66 12.92% 0.86 12.86% 0.86 0.127 67 13.11% 0.85 13.05% 0.84 0.126 68 13.31% 0.84 13.25% 0.83 0.126 69 13.50% 0.83 13.45% 0.82 0.124 70 13.70% 0.81 13.64% 0.81 0.123 71 13.89% 0.80 13.84% 0.80 0.123 72 14.09% 0.79 14.03% 0.79 0.123 73 14.29% 0.78 14.23% 0.77 0.122 74 14.48% 0.77 14.43% 0.76 0.122 75 14.68% 0.76 14.62% 0.75 0.121 76 14.87% 0.75 14.82% 0.74 0.121 77 15.07% 0.74 15.01% 0.73 0.120 78 15.26% 0.73 15.21% 0.72 0.120 79 15.46% 0.72 15.41% 0.72 0.119 80 15.66% 0.71 15.60% 0.71 0.119 81 15.85% 0.70 15.80% 0.70 0.119 82 16.05% 0.70 15.99% 0.69 0.119 83 16.24% 0.69 16.19% 0.68 0.118 84 16.44% 0.68 16.39% 0.67 0.117 85 16.63% 0.67 16.58% 0.66 0.117 86 16.83% 0.66 16.78% 0.66 0.116 87 17.03% 0.66 16.97% 0.65 0.116 88 17.22% 0.65 17.17% 0.64 0.115 89 17.42% 0.64 17.37% 0.63 0.115 90 17.61% 0.63 17.56% 0.63 0.115 91 17.81% 0.63 17.76% 0.62 0.115 92 18.00% 0.62 17.95% 0.61 0.115 93 18.20% 0.61 18.15% 0.61 0.114 94 18.40% 0.61 18.35% 0.60 0.114 95 18.59% 0.60 18.54% 0.59 0.114 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 96 18.79% 0.59 18.74% 0.59 0.114 97 18.98% 0.59 18.93% 0.58 0.112 98 19.18% 0.58 19.13% 0.58 0.112 99 19.37% 0.58 19.33% 0.57 0.111 100 19.57% 0.57 19.52% 0.56 0.111 101 19.77% 0.56 19.72% 0.56 0.110 102 19.96% 0.56 19.91% 0.55 0.110 103 20.16% 0.55 20.11% 0.55 0.110 104 20.35% 0.55 20.31% 0.54 0.108 105 20.55% 0.54 20.50% 0.54 0.108 106 20.74% 0.54 20.70% 0.53 0.108 107 20.94% 0.53 20.89% 0.53 0.108 108 21.14% 0.53 21.09% 0.52 0.108 109 21.33% 0.52 21.29% 0.52 0.108 110 21.53% 0.52 21.48% 0.51 0.107 111 21.72% 0.51 21.68% 0.51 0.105 112 21.92% 0.51 21.87% 0.50 0.104 113 22.11% 0.50 22.07% 0.50 0.103 114 22.31% 0.50 22.27% 0.50 0.103 115 22.50% 0.50 22.46% 0.49 0.102 116 22.70% 0.49 22.66% 0.49 0.102 117 22.90% 0.49 22.85% 0.48 0.102 118 23.09% 0.48 23.05% 0.48 0.102 119 23.29% 0.48 23.25% 0.47 0.101 120 23.48% 0.48 23.44% 0.47 0.101 121 23.68% 0.47 23.64% 0.47 0.101 122 23.87% 0.47 23.83% 0.46 0.101 123 24.07% 0.46 24.03% 0.46 0.101 124 24.27% 0.46 24.23% 0.46 0.100 125 24.46% 0.46 24.42% 0.45 0.098 126 24.66% 0.45 24.62% 0.45 0.098 127 24.85% 0.45 24.81% 0.44 0.098 128 25.05% 0.45 25.01% 0.44 0.097 129 25.24% 0.44 25.21% 0.44 0.096 130 25.44% 0.44 25.40% 0.43 0.095 131 25.64% 0.44 25.60% 0.43 0.095 132 25.83% 0.43 25.79% 0.43 0.094 133 26.03% 0.43 25.99% 0.42 0.094 134 26.22% 0.43 26.19% 0.42 0.093 135 26.42% 0.42 26.38% 0.42 0.093 136 26.61% 0.42 26.58% 0.41 0.093 137 26.81% 0.42 26.77% 0.41 0.093 138 27.01% 0.41 26.97% 0.41 0.093 139 27.20% 0.41 27.17% 0.41 0.092 140 27.40% 0.41 27.36% 0.40 0.092 141 27.59% 0.40 27.56% 0.40 0.092 142 27.79% 0.40 27.75% 0.40 0.092 143 27.98% 0.40 27.95% 0.39 0.091 144 28.18% 0.40 28.15% 0.39 0.091 145 28.38% 0.39 28.34% 0.39 0.090 146 28.57% 0.39 28.54% 0.39 0.090 147 28.77% 0.39 28.73% 0.38 0.090 148 28.96% 0.39 28.93% 0.38 0.090 149 29.16% 0.38 29.13% 0.38 0.090 150 29.35% 0.38 29.32% 0.38 0.090 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 151 29.55% 0.38 29.52% 0.37 0.090 152 29.75% 0.38 29.71% 0.37 0.090 153 29.94% 0.37 29.91% 0.37 0.089 154 30.14% 0.37 30.11% 0.37 0.089 155 30.33% 0.37 30.30% 0.36 0.089 156 30.53% 0.37 30.50% 0.36 0.088 157 30.72% 0.36 30.69% 0.36 0.088 158 30.92% 0.36 30.89% 0.36 0.087 159 31.12% 0.36 31.09% 0.35 0.087 160 31.31% 0.36 31.28% 0.35 0.087 161 31.51% 0.35 31.48% 0.35 0.087 162 31.70% 0.35 31.67% 0.35 0.087 163 31.90% 0.35 31.87% 0.35 0.087 164 32.09% 0.35 32.07% 0.34 0.087 165 32.29% 0.35 32.26% 0.34 0.086 166 32.49% 0.34 32.46% 0.34 0.086 167 32.68% 0.34 32.65% 0.34 0.086 168 32.88% 0.34 32.85% 0.34 0.086 169 33.07% 0.34 33.05% 0.33 0.085 170 33.27% 0.34 33.24% 0.33 0.085 171 33.46% 0.33 33.44% 0.33 0.085 172 33.66% 0.33 33.63% 0.33 0.085 173 33.86% 0.33 33.83% 0.33 0.085 174 34.05% 0.33 34.03% 0.32 0.085 175 34.25% 0.33 34.22% 0.32 0.085 176 34.44% 0.32 34.42% 0.32 0.085 177 34.64% 0.32 34.61% 0.32 0.085 178 34.83% 0.32 34.81% 0.32 0.085 179 35.03% 0.32 35.01% 0.31 0.084 180 35.23% 0.32 35.20% 0.31 0.084 181 35.42% 0.32 35.40% 0.31 0.084 182 35.62% 0.31 35.59% 0.31 0.083 183 35.81% 0.31 35.79% 0.31 0.083 184 36.01% 0.31 35.99% 0.31 0.083 185 36.20% 0.31 36.18% 0.30 0.083 186 36.40% 0.31 36.38% 0.30 0.082 187 36.59% 0.31 36.57% 0.30 0.082 188 36.79% 0.30 36.77% 0.30 0.082 189 36.99% 0.30 36.97% 0.30 0.082 190 37.18% 0.30 37.16% 0.30 0.082 191 37.38% 0.30 37.36% 0.30 0.082 192 37.57% 0.30 37.55% 0.29 0.082 193 37.77% 0.30 37.75% 0.29 0.081 194 37.96% 0.29 37.95% 0.29 0.081 195 38.16% 0.29 38.14% 0.29 0.081 196 38.36% 0.29 38.34% 0.29 0.081 197 38.55% 0.29 38.53% 0.29 0.080 198 38.75% 0.29 38.73% 0.28 0.080 199 38.94% 0.29 38.93% 0.28 0.080 200 39.14% 0.29 39.12% 0.28 0.079 201 39.33% 0.28 39.32% 0.28 0.079 202 39.53% 0.28 39.51% 0.28 0.079 203 39.73% 0.28 39.71% 0.28 0.079 204 39.92% 0.28 39.91% 0.28 0.079 205 40.12% 0.28 40.10% 0.27 0.079 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 206 40.31% 0.28 40.30% 0.27 0.079 207 40.51% 0.28 40.49% 0.27 0.078 208 40.70% 0.27 40.69% 0.27 0.078 209 40.90% 0.27 40.89% 0.27 0.077 210 41.10% 0.27 41.08% 0.27 0.077 211 41.29% 0.27 41.28% 0.27 0.077 212 41.49% 0.27 41.47% 0.27 0.077 213 41.68% 0.27 41.67% 0.26 0.077 214 41.88% 0.27 41.87% 0.26 0.076 215 42.07% 0.27 42.06% 0.26 0.076 216 42.27% 0.26 42.26% 0.26 0.076 217 42.47% 0.26 42.45% 0.26 0.074 218 42.66% 0.26 42.65% 0.26 0.074 219 42.86% 0.26 42.85% 0.26 0.073 220 43.05% 0.26 43.04% 0.26 0.073 221 43.25% 0.26 43.24% 0.25 0.073 222 43.44% 0.26 43.43% 0.25 0.073 223 43.64% 0.26 43.63% 0.25 0.073 224 43.84% 0.25 43.83% 0.25 0.073 225 44.03% 0.25 44.02% 0.25 0.072 226 44.23% 0.25 44.22% 0.25 0.072 227 44.42% 0.25 44.41% 0.25 0.072 228 44.62% 0.25 44.61% 0.25 0.072 229 44.81% 0.25 44.81% 0.25 0.072 230 45.01% 0.25 45.00% 0.24 0.071 231 45.21% 0.25 45.20% 0.24 0.071 232 45.40% 0.25 45.39% 0.24 0.071 233 45.60% 0.24 45.59% 0.24 0.071 234 45.79% 0.24 45.79% 0.24 0.071 235 45.99% 0.24 45.98% 0.24 0.071 236 46.18% 0.24 46.18% 0.24 0.071 237 46.38% 0.24 46.37% 0.24 0.070 238 46.58% 0.24 46.57% 0.24 0.070 239 46.77% 0.24 46.77% 0.24 0.070 240 46.97% 0.24 46.96% 0.23 0.070 241 47.16% 0.24 47.16% 0.23 0.070 242 47.36% 0.24 47.35% 0.23 0.070 243 47.55% 0.23 47.55% 0.23 0.070 244 47.75% 0.23 47.75% 0.23 0.070 245 47.95% 0.23 47.94% 0.23 0.070 246 48.14% 0.23 48.14% 0.23 0.069 247 48.34% 0.23 48.33% 0.23 0.069 248 48.53% 0.23 48.53% 0.23 0.069 249 48.73% 0.23 48.73% 0.23 0.069 250 48.92% 0.23 48.92% 0.23 0.068 251 49.12% 0.23 49.12% 0.22 0.068 252 49.32% 0.23 49.31% 0.22 0.068 253 49.51% 0.23 49.51% 0.22 0.068 254 49.71% 0.22 49.71% 0.22 0.068 255 49.90% 0.22 49.90% 0.22 0.068 256 50.10% 0.22 50.10% 0.22 0.068 257 50.29% 0.22 50.29% 0.22 0.068 258 50.49% 0.22 50.49% 0.22 0.068 259 50.68% 0.22 50.69% 0.22 0.067 260 50.88% 0.22 50.88% 0.22 0.067 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 261 51.08% 0.22 51.08% 0.22 0.067 262 51.27% 0.22 51.27% 0.21 0.067 263 51.47% 0.22 51.47% 0.21 0.067 264 51.66% 0.22 51.67% 0.21 0.067 265 51.86% 0.22 51.86% 0.21 0.067 266 52.05% 0.21 52.06% 0.21 0.067 267 52.25% 0.21 52.25% 0.21 0.067 268 52.45% 0.21 52.45% 0.21 0.066 269 52.64% 0.21 52.65% 0.21 0.066 270 52.84% 0.21 52.84% 0.21 0.065 271 53.03% 0.21 53.04% 0.21 0.065 272 53.23% 0.21 53.23% 0.21 0.065 273 53.42% 0.21 53.43% 0.21 0.065 274 53.62% 0.21 53.63% 0.21 0.065 275 53.82% 0.21 53.82% 0.20 0.064 276 54.01% 0.21 54.02% 0.20 0.064 277 54.21% 0.21 54.21% 0.20 0.064 278 54.40% 0.21 54.41% 0.20 0.064 279 54.60% 0.20 54.61% 0.20 0.064 280 54.79% 0.20 54.80% 0.20 0.064 281 54.99% 0.20 55.00% 0.20 0.063 282 55.19% 0.20 55.19% 0.20 0.063 283 55.38% 0.20 55.39% 0.20 0.063 284 55.58% 0.20 55.59% 0.20 0.063 285 55.77% 0.20 55.78% 0.20 0.062 286 55.97% 0.20 55.98% 0.20 0.062 287 56.16% 0.20 56.17% 0.20 0.062 288 56.36% 0.20 56.37% 0.20 0.061 289 56.56% 0.20 56.57% 0.19 0.061 290 56.75% 0.20 56.76% 0.19 0.061 291 56.95% 0.20 56.96% 0.19 0.061 292 57.14% 0.20 57.15% 0.19 0.061 293 57.34% 0.19 57.35% 0.19 0.061 294 57.53% 0.19 57.55% 0.19 0.060 295 57.73% 0.19 57.74% 0.19 0.060 296 57.93% 0.19 57.94% 0.19 0.060 297 58.12% 0.19 58.13% 0.19 0.060 298 58.32% 0.19 58.33% 0.19 0.060 299 58.51% 0.19 58.53% 0.19 0.060 300 58.71% 0.19 58.72% 0.19 0.059 301 58.90% 0.19 58.92% 0.19 0.059 302 59.10% 0.19 59.11% 0.19 0.059 303 59.30% 0.19 59.31% 0.19 0.059 304 59.49% 0.19 59.51% 0.19 0.059 305 59.69% 0.19 59.70% 0.18 0.059 306 59.88% 0.19 59.90% 0.18 0.058 307 60.08% 0.19 60.09% 0.18 0.058 308 60.27% 0.19 60.29% 0.18 0.058 309 60.47% 0.18 60.49% 0.18 0.058 310 60.67% 0.18 60.68% 0.18 0.057 311 60.86% 0.18 60.88% 0.18 0.057 312 61.06% 0.18 61.07% 0.18 0.056 313 61.25% 0.18 61.27% 0.18 0.056 314 61.45% 0.18 61.47% 0.18 0.056 315 61.64% 0.18 61.66% 0.18 0.056 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 316 61.84% 0.18 61.86% 0.18 0.056 317 62.04% 0.18 62.05% 0.18 0.056 318 62.23% 0.18 62.25% 0.18 0.056 319 62.43% 0.18 62.45% 0.18 0.056 320 62.62% 0.18 62.64% 0.18 0.055 321 62.82% 0.18 62.84% 0.18 0.055 322 63.01% 0.18 63.03% 0.17 0.055 323 63.21% 0.18 63.23% 0.17 0.055 324 63.41% 0.18 63.43% 0.17 0.054 325 63.60% 0.18 63.62% 0.17 0.054 326 63.80% 0.17 63.82% 0.17 0.054 327 63.99% 0.17 64.01% 0.17 0.054 328 64.19% 0.17 64.21% 0.17 0.054 329 64.38% 0.17 64.41% 0.17 0.053 330 64.58% 0.17 64.60% 0.17 0.053 331 64.77% 0.17 64.80% 0.17 0.053 332 64.97% 0.17 64.99% 0.17 0.053 333 65.17% 0.17 65.19% 0.17 0.053 334 65.36% 0.17 65.39% 0.17 0.053 335 65.56% 0.17 65.58% 0.17 0.053 336 65.75% 0.17 65.78% 0.17 0.053 337 65.95% 0.17 65.97% 0.17 0.052 338 66.14% 0.17 66.17% 0.17 0.052 339 66.34% 0.17 66.37% 0.17 0.052 340 66.54% 0.17 66.56% 0.17 0.052 341 66.73% 0.17 66.76% 0.17 0.052 342 66.93% 0.17 66.95% 0.16 0.052 343 67.12% 0.17 67.15% 0.16 0.052 344 67.32% 0.17 67.35% 0.16 0.052 345 67.51% 0.17 67.54% 0.16 0.051 346 67.71% 0.16 67.74% 0.16 0.051 347 67.91% 0.16 67.93% 0.16 0.051 348 68.10% 0.16 68.13% 0.16 0.051 349 68.30% 0.16 68.33% 0.16 0.051 350 68.49% 0.16 68.52% 0.16 0.051 351 68.69% 0.16 68.72% 0.16 0.051 352 68.88% 0.16 68.91% 0.16 0.051 353 69.08% 0.16 69.11% 0.16 0.050 354 69.28% 0.16 69.31% 0.16 0.050 355 69.47% 0.16 69.50% 0.16 0.050 356 69.67% 0.16 69.70% 0.16 0.050 357 69.86% 0.16 69.89% 0.16 0.050 358 70.06% 0.16 70.09% 0.16 0.049 359 70.25% 0.16 70.29% 0.16 0.049 360 70.45% 0.16 70.48% 0.16 0.049 361 70.65% 0.16 70.68% 0.16 0.049 362 70.84% 0.16 70.87% 0.16 0.048 363 71.04% 0.16 71.07% 0.16 0.048 364 71.23% 0.16 71.27% 0.15 0.048 365 71.43% 0.16 71.46% 0.15 0.048 366 71.62% 0.16 71.66% 0.15 0.047 367 71.82% 0.16 71.85% 0.15 0.047 368 72.02% 0.16 72.05% 0.15 0.047 369 72.21% 0.15 72.25% 0.15 0.047 370 72.41% 0.15 72.44% 0.15 0.047 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 371 72.60% 0.15 72.64% 0.15 0.047 372 72.80% 0.15 72.83% 0.15 0.047 373 72.99% 0.15 73.03% 0.15 0.047 374 73.19% 0.15 73.23% 0.15 0.047 375 73.39% 0.15 73.42% 0.15 0.046 376 73.58% 0.15 73.62% 0.15 0.046 377 73.78% 0.15 73.81% 0.15 0.046 378 73.97% 0.15 74.01% 0.15 0.046 379 74.17% 0.15 74.21% 0.15 0.046 380 74.36% 0.15 74.40% 0.15 0.046 381 74.56% 0.15 74.60% 0.15 0.045 382 74.76% 0.15 74.79% 0.15 0.045 383 74.95% 0.15 74.99% 0.15 0.045 384 75.15% 0.15 75.19% 0.15 0.045 385 75.34% 0.15 75.38% 0.15 0.045 386 75.54% 0.15 75.58% 0.15 0.045 387 75.73% 0.15 75.77% 0.15 0.044 388 75.93% 0.15 75.97% 0.15 0.044 389 76.13% 0.15 76.17% 0.14 0.044 390 76.32% 0.15 76.36% 0.14 0.043 391 76.52% 0.15 76.56% 0.14 0.043 392 76.71% 0.15 76.75% 0.14 0.043 393 76.91% 0.15 76.95% 0.14 0.043 394 77.10% 0.14 77.15% 0.14 0.043 395 77.30% 0.14 77.34% 0.14 0.042 396 77.50% 0.14 77.54% 0.14 0.042 397 77.69% 0.14 77.73% 0.14 0.042 398 77.89% 0.14 77.93% 0.14 0.042 399 78.08% 0.14 78.13% 0.14 0.042 400 78.28% 0.14 78.32% 0.14 0.042 401 78.47% 0.14 78.52% 0.14 0.042 402 78.67% 0.14 78.71% 0.14 0.042 403 78.86% 0.14 78.91% 0.14 0.042 404 79.06% 0.14 79.11% 0.14 0.042 405 79.26% 0.14 79.30% 0.14 0.041 406 79.45% 0.14 79.50% 0.14 0.041 407 79.65% 0.14 79.69% 0.14 0.041 408 79.84% 0.14 79.89% 0.14 0.041 409 80.04% 0.14 80.09% 0.14 0.041 410 80.23% 0.14 80.28% 0.14 0.041 411 80.43% 0.14 80.48% 0.14 0.041 412 80.63% 0.14 80.67% 0.14 0.041 413 80.82% 0.14 80.87% 0.14 0.041 414 81.02% 0.14 81.07% 0.14 0.041 415 81.21% 0.14 81.26% 0.14 0.041 416 81.41% 0.14 81.46% 0.14 0.041 417 81.60% 0.14 81.65% 0.13 0.040 418 81.80% 0.14 81.85% 0.13 0.039 419 82.00% 0.14 82.05% 0.13 0.039 420 82.19% 0.14 82.24% 0.13 0.039 421 82.39% 0.14 82.44% 0.13 0.039 422 82.58% 0.14 82.63% 0.13 0.039 423 82.78% 0.13 82.83% 0.13 0.039 424 82.97% 0.13 83.03% 0.13 0.039 425 83.17% 0.13 83.22% 0.13 0.039 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 426 83.37% 0.13 83.42% 0.13 0.039 427 83.56% 0.13 83.61% 0.13 0.039 428 83.76% 0.13 83.81% 0.13 0.039 429 83.95% 0.13 84.01% 0.13 0.038 430 84.15% 0.13 84.20% 0.13 0.038 431 84.34% 0.13 84.40% 0.13 0.038 432 84.54% 0.13 84.59% 0.13 0.038 433 84.74% 0.13 84.79% 0.13 0.038 434 84.93% 0.13 84.99% 0.13 0.038 435 85.13% 0.13 85.18% 0.13 0.037 436 85.32% 0.13 85.38% 0.13 0.037 437 85.52% 0.13 85.57% 0.13 0.037 438 85.71% 0.13 85.77% 0.13 0.037 439 85.91% 0.13 85.97% 0.13 0.037 440 86.11% 0.13 86.16% 0.13 0.036 441 86.30% 0.13 86.36% 0.13 0.036 442 86.50% 0.13 86.55% 0.13 0.036 443 86.69% 0.13 86.75% 0.13 0.036 444 86.89% 0.13 86.95% 0.13 0.036 445 87.08% 0.13 87.14% 0.13 0.036 446 87.28% 0.13 87.34% 0.13 0.035 447 87.48% 0.13 87.53% 0.13 0.035 448 87.67% 0.13 87.73% 0.13 0.034 449 87.87% 0.13 87.93% 0.13 0.034 450 88.06% 0.13 88.12% 0.13 0.034 451 88.26% 0.13 88.32% 0.12 0.034 452 88.45% 0.13 88.51% 0.12 0.034 453 88.65% 0.13 88.71% 0.12 0.033 454 88.85% 0.13 88.91% 0.12 0.033 455 89.04% 0.13 89.10% 0.12 0.032 456 89.24% 0.13 89.30% 0.12 0.032 457 89.43% 0.12 89.49% 0.12 0.032 458 89.63% 0.12 89.69% 0.12 0.032 459 89.82% 0.12 89.89% 0.12 0.032 460 90.02% 0.12 90.08% 0.12 0.032 461 90.22% 0.12 90.28% 0.12 0.032 462 90.41% 0.12 90.47% 0.12 0.031 463 90.61% 0.12 90.67% 0.12 0.030 464 90.80% 0.12 90.87% 0.12 0.030 465 91.00% 0.12 91.06% 0.12 0.030 466 91.19% 0.12 91.26% 0.12 0.029 467 91.39% 0.12 91.45% 0.12 0.029 468 91.59% 0.12 91.65% 0.12 0.029 469 91.78% 0.12 91.85% 0.12 0.029 470 91.98% 0.12 92.04% 0.12 0.029 471 92.17% 0.12 92.24% 0.12 0.028 472 92.37% 0.12 92.43% 0.12 0.028 473 92.56% 0.12 92.63% 0.12 0.028 474 92.76% 0.12 92.83% 0.12 0.028 475 92.95% 0.12 93.02% 0.12 0.028 476 93.15% 0.12 93.22% 0.12 0.028 477 93.35% 0.12 93.41% 0.12 0.027 478 93.54% 0.12 93.61% 0.12 0.027 479 93.74% 0.12 93.81% 0.12 0.026 480 93.93% 0.12 94.00% 0.12 0.026 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 481 94.13% 0.12 94.20% 0.12 0.026 482 94.32% 0.12 94.39% 0.12 0.026 483 94.52% 0.12 94.59% 0.12 0.026 484 94.72% 0.12 94.79% 0.12 0.026 485 94.91% 0.12 94.98% 0.12 0.025 486 95.11% 0.12 95.18% 0.12 0.025 487 95.30% 0.12 95.37% 0.12 0.025 488 95.50% 0.12 95.57% 0.12 0.025 489 95.69% 0.12 95.77% 0.12 0.025 490 95.89% 0.12 95.96% 0.11 0.024 491 96.09% 0.12 96.16% 0.11 0.024 492 96.28% 0.12 96.35% 0.11 0.024 493 96.48% 0.12 96.55% 0.11 0.024 494 96.67% 0.12 96.75% 0.11 0.024 495 96.87% 0.12 96.94% 0.11 0.024 496 97.06% 0.12 97.14% 0.11 0.023 497 97.26% 0.11 97.33% 0.11 0.023 498 97.46% 0.11 97.53% 0.11 0.023 499 97.65% 0.11 97.73% 0.11 0.023 500 97.85% 0.11 97.92% 0.11 0.023 501 98.04% 0.11 98.12% 0.11 0.022 502 98.24% 0.11 98.31% 0.11 0.022 503 98.43% 0.11 98.51% 0.11 0.021 504 98.63% 0.11 98.71% 0.11 0.021 505 98.83% 0.11 98.90% 0.11 0.021 506 99.02% 0.11 99.10% 0.11 0.021 507 99.22% 0.11 99.29% 0.11 0.020 508 99.41% 0.11 99.49% 0.11 0.020 509 99.61% 0.11 99.69% 0.11 0.020 510 99.80% 0.11 99.88% 0.11 0.020 D:\76582 Aviara Apts\13 Reports\SWQMP\SWMM\2023-0329 - Contech\Aviara Summary, 2023-0329.xlsx 4/11/2023 71132.60 AVIARA APARTMENTS, 1205 AVIARA PARKWAY SB&O Inc. S.W.M.M. ~ HMP CONTINUOUS SIMULATION (858) 560-1141 www.SBOINC.com APPENDIX II: SUMMARY OF INPUT DATA/PARAMETERS [TITLE] ;;Project Title/Notes [OPTIONS] ;;Option Value FLOW_UNITS CFS INFILTRATION GREEN_AMPT FLOW_ROUTING STEADY LINK_OFFSETS DEPTH MIN_SLOPE 0 ALLOW_PONDING NO SKIP_STEADY_STATE NO START_DATE 05/23/1952 START_TIME 00:00:00 REPORT_START_DATE 05/23/1952 REPORT_START_TIME 00:00:00 END_DATE 05/23/2008 END_TIME 23:00:00 SWEEP_START 01/01 SWEEP_END 12/31 DRY_DAYS 0 REPORT_STEP 01:00:00 WET_STEP 00:15:00 DRY_STEP 04:00:00 ROUTING_STEP 0:01:00 RULE_STEP 00:00:00 INERTIAL_DAMPING PARTIAL NORMAL_FLOW_LIMITED BOTH FORCE_MAIN_EQUATION H-W VARIABLE_STEP 0.75 LENGTHENING_STEP 0 MIN_SURFAREA 12.557 MAX_TRIALS 8 HEAD_TOLERANCE 0.005 SYS_FLOW_TOL 5 LAT_FLOW_TOL 5 MINIMUM_STEP 0.75 THREADS 1 [EVAPORATION] ;;Data Source Parameters ;;-------------- ---------------- MONTHLY 0.06 0.08 0.11 0.15 0.17 0.19 0.19 0.18 0.15 0.11 0.08 0.06 DRY_ONLY NO [RAINGAGES] ;;Name Format Interval SCF Source ;;-------------- --------- ------ ------ ---------- OceansideRainfall VOLUME 1:00 1.0 TIMESERIES TS1 [SUBCATCHMENTS] ;;Name Rain Gage Outlet Area %Imperv Width %Slope CurbLen SnowPack ;;-------------- ---------------- ---------------- -------- -------- -------- -------- -------- ---------------- N2-A OceansideRainfall BMP-1 1.684 91.5 121.3 0.5 0 N2-D OceansideRainfall BMP-1 0.184 40 13.4 0.5 0 N1-D OceansideRainfall BMP-1 .472 87.1 71.7 0.5 0 BMP-1 OceansideRainfall div-1 0.08494 0 20 0 0 N1-A OceansideRainfall BMP-1 1.098 87.7 168.9 0.5 0 BMP-2 OceansideRainfall div-2 0.04486 0 20 0 0 N3-A OceansideRainfall BMP-2 1.385 76.2 153.2 1.25 0 N3-D OceansideRainfall BMP-2 0.66 63 59.8 1.25 0 [SUBAREAS] ;;Subcatchment N-Imperv N-Perv S-Imperv S-Perv PctZero RouteTo PctRouted ;;-------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- N2-A 0.012 0.15 0.05 0.1 25 OUTLET N2-D 0.012 0.15 0.05 0.1 25 OUTLET N1-D 0.012 0.15 0.05 0.1 25 OUTLET BMP-1 0.012 0.05 0.05 0.1 25 OUTLET N1-A 0.012 0.15 0.05 0.1 25 OUTLET BMP-2 0.012 0.05 0.05 0.1 25 OUTLET N3-A 0.012 0.15 0.05 0.1 25 OUTLET N3-D 0.012 0.15 0.05 0.1 25 OUTLET [INFILTRATION] ;;Subcatchment Param1 Param2 Param3 Param4 Param5 ;;-------------- ---------- ---------- ---------- ---------- ---------- N2-A 1.5 0.225 0.33 7 0 N2-D 9 0.01875 0.3 7 0 N1-D 9 0.01875 0.3 7 0 BMP-1 5.36 0.119 0.315 7 0 N1-A 1.5 0.225 0.33 7 0 BMP-2 8.54 0.031 0.328 7 0 N3-A 1.5 0.225 0.33 7 0 N3-D 9 0.01875 0.3 7 0 [LID_CONTROLS] ;;Name Type/Layer Parameters ;;-------------- ---------- ---------- BMP-1 BC BMP-1 SURFACE 7.2 0.05 0 0 5 BMP-1 SOIL 18 0.4 0.2 0.1 5 5 1.5 BMP-1 STORAGE 21 0.67 0.01 0 NO BMP-1 DRAIN 0.3156 0.5 3 6 0 0 BMP-2 BC BMP-2 SURFACE 11.31 0.05 0 0 5 BMP-2 SOIL 18 0.4 0.2 0.1 5 5 1.5 BMP-2 STORAGE 21 0.67 0.01 0 NO BMP-2 DRAIN 0.3222 0.5 3 6 0 0 [LID_USAGE] ;;Subcatchment LID Process Number Area Width InitSat FromImp ToPerv RptFile DrainTo FromPerv ;;-------------- ---------------- ------- ---------- ---------- ---------- ---------- ---------- ------------------------ ---------------- ---------- BMP-1 BMP-1 1 3700 20 0 100 0 * * 0 BMP-2 BMP-2 1 1955 20 0 100 0 * * 0 [OUTFALLS] ;;Name Elevation Type Stage Data Gated Route To ;;-------------- ---------- ---------- ---------------- -------- ---------------- POC-1 0 FREE NO [DIVIDERS] ;;Name Elevation Diverted Link Type Parameters ;;-------------- ---------- ---------------- ---------- ---------- div-2 0 bp-2 CUTOFF 0.06001 0 0 0 0 div-1 0 bp-1 CUTOFF 0.10990 0 0 0 0 [STORAGE] ;;Name Elev. MaxDepth InitDepth Shape Curve Type/Params SurDepth Fevap Psi Ksat IMD ;;-------------- -------- ---------- ----------- ---------- ---------------------------- --------- -------- -------- -------- ss-2 0 1.91 0 TABULAR ss-2 0 0 ss-1 0 1.35 0 TABULAR ss-1 0 0 UDB 0 8 0 TABULAR Contech 0 0 1.5 .225 0.33 [CONDUITS] ;;Name From Node To Node Length Roughness InOffset OutOffset InitFlow MaxFlow ;;-------------- ---------------- ---------------- ---------- ---------- ---------- ---------- ---------- ---------- bp-1 div-1 ss-1 400 0.01 0 0 0 0 ud-1 div-1 UDB 400 0.01 0 0 0 0 ud-2 div-2 UDB 400 0.01 0 0 0 0 bp-2 div-2 ss-2 400 0.01 0 0 0 0 [ORIFICES] ;;Name From Node To Node Type Offset Qcoeff Gated CloseTime ;;-------------- ---------------- ---------------- ------------ ---------- ---------- -------- ---------- O1 UDB POC-1 SIDE .5 0.65 NO 0 W1 UDB POC-1 SIDE 5.75 0.65 NO 0 [OUTLETS] ;;Name From Node To Node Offset Type QTable/Qcoeff Qexpon Gated ;;-------------- ---------------- ---------------- ---------- --------------- ---------------- ---------- -------- rc-1 ss-1 UDB 0 TABULAR/DEPTH rc-1 NO rc-2 ss-2 UDB 0 TABULAR/DEPTH rc-2 NO [XSECTIONS] ;;Link Shape Geom1 Geom2 Geom3 Geom4 Barrels Culvert ;;-------------- ------------ ---------------- ---------- ---------- ---------- ---------- ---------- bp-1 DUMMY 0 0 0 0 1 ud-1 DUMMY 0 0 0 0 1 ud-2 DUMMY 0 0 0 0 1 bp-2 DUMMY 0 0 0 0 1 O1 CIRCULAR .125 0 0 0 W1 RECT_CLOSED 2 5 0 0 [CURVES] ;;Name Type X-Value Y-Value ;;-------------- ---------- ---------- ---------- rc-1 Rating 0 0 rc-1 0.083 0.87 rc-1 0.167 2.45 rc-1 0.25 4.5 rc-1 0.333 6.93 rc-1 0.417 9.68 rc-1 0.5 12.73 rc-1 0.583 16.04 rc-1 0.667 19.6 rc-1 0.75 23.38 rc-1 0.833 27.39 rc-1 0.917 31.6 rc-1 1 36 rc-1 1.083 40.59 rc-1 1.167 45.37 rc-1 1.25 50.31 rc-1 1.333 55.43 rc-1 1.35 56.47 ; rc-2 Rating 0 0 rc-2 0.08 0.87 rc-2 0.17 2.45 rc-2 0.25 4.5 rc-2 0.33 6.93 rc-2 0.42 9.68 rc-2 0.5 12.73 rc-2 0.58 16.04 rc-2 0.67 19.6 rc-2 0.75 23.38 rc-2 0.83 27.39 rc-2 0.92 31.6 rc-2 1 36 rc-2 1.08 40.59 rc-2 1.17 45.37 rc-2 1.25 50.31 rc-2 1.33 55.43 rc-2 1.42 60.7 rc-2 1.5 66.14 rc-2 1.58 71.72 rc-2 1.67 77.46 rc-2 1.75 83.34 rc-2 1.83 89.36 rc-2 1.91 95.03 ; rc-3 Rating 0.00 0.000 rc-3 0.10 0.013 rc-3 0.20 0.019 rc-3 0.30 0.023 rc-3 0.40 0.027 rc-3 0.50 0.030 rc-3 0.60 0.033 rc-3 0.70 0.036 rc-3 0.80 0.038 rc-3 0.90 0.041 rc-3 1.00 0.043 rc-3 1.10 0.045 rc-3 1.20 0.048 rc-3 1.30 0.050 rc-3 1.40 0.052 rc-3 1.50 0.053 rc-3 1.60 0.055 rc-3 1.70 0.057 rc-3 1.80 0.059 rc-3 1.90 0.060 rc-3 2.00 0.062 rc-3 2.10 0.064 rc-3 2.20 0.065 rc-3 2.30 0.067 rc-3 2.40 0.068 rc-3 2.50 0.070 rc-3 2.60 0.071 rc-3 2.70 0.072 rc-3 2.80 0.074 rc-3 2.90 0.075 rc-3 3.00 0.076 rc-3 3.10 0.078 rc-3 3.20 0.079 rc-3 3.30 0.080 rc-3 3.40 0.081 rc-3 3.50 0.083 rc-3 3.60 0.084 rc-3 3.70 0.085 rc-3 3.80 0.086 rc-3 3.90 0.087 rc-3 4.00 0.088 rc-3 4.10 0.089 rc-3 4.20 0.090 rc-3 4.30 0.092 rc-3 4.40 0.093 rc-3 4.50 0.094 rc-3 4.60 0.095 rc-3 4.70 0.096 rc-3 4.80 0.097 rc-3 4.90 0.098 rc-3 5.00 0.099 rc-3 5.10 0.100 rc-3 5.20 0.101 rc-3 5.30 0.275 rc-3 5.40 1.003 rc-3 5.50 2.041 rc-3 5.60 3.314 rc-3 5.70 4.785 rc-3 5.80 6.429 rc-3 5.90 8.230 rc-3 6.00 9.325 ; ss-1 Storage 0 3700 ss-1 0.083 3700 ss-1 0.167 3700 ss-1 0.25 3700 ss-1 0.333 3700 ss-1 0.417 3700 ss-1 0.5 3700 ss-1 0.583 3700 ss-1 0.667 3700 ss-1 0.75 3700 ss-1 0.833 3700 ss-1 0.917 3700 ss-1 1 3700 ss-1 1.083 3700 ss-1 1.167 3700 ss-1 1.25 3700 ss-1 1.333 3700 ss-1 1.35 3700 ; ss-2 Storage 0 2391 ss-2 0.5 2776 ss-2 1 3247 ss-2 1.5 3773 ss-2 1.91 4228 ; Contech Storage 0.0 1930.40 Contech 0.1 1930.40 Contech 0.3 1930.40 Contech 0.5 1930.40 Contech 0.7 2622.65 Contech 0.9 2894.89 Contech 1.1 3093.61 Contech 1.3 3252.41 Contech 1.5 3384.42 Contech 1.7 3496.42 Contech 1.9 3592.48 Contech 2.1 3675.22 Contech 2.3 3746.47 Contech 2.5 3807.53 Contech 2.7 3859.37 Contech 2.9 3902.72 Contech 3.1 3938.14 Contech 3.3 3966.02 Contech 3.5 3986.69 Contech 3.7 4000.35 Contech 3.9 4007.15 Contech 4.1 4007.15 Contech 4.3 4000.35 Contech 4.5 3986.69 Contech 4.7 3966.02 Contech 4.9 3938.14 Contech 5.1 3902.72 Contech 5.3 3859.37 Contech 5.5 3807.53 Contech 5.7 3746.47 Contech 5.9 3675.22 Contech 6.1 3592.48 Contech 6.3 3496.42 Contech 6.5 3384.42 Contech 6.7 3252.41 Contech 6.9 3093.61 Contech 7.1 2894.89 Contech 7.3 2622.65 Contech 7.5 1930.40 Contech 7.7 1930.40 Contech 7.9 1930.40 Contech 8.0 1930.40 [TIMESERIES] ;;Name Date Time Value ;;-------------- ---------- ---------- ---------- ;Oceanside Rainfall Data TS1 8/28/1951 5:00 0.06 REMOVED FOR REPORT PARSIMONY [REPORT] ;;Reporting Options SUBCATCHMENTS ALL NODES ALL LINKS ALL [TAGS] [MAP] DIMENSIONS -5044.373 -1314.404 10651.876 10000.000 Units None [COORDINATES] ;;Node X-Coord Y-Coord ;;-------------- ------------------ ------------------ POC-1 9938.410 3605.823 div-2 2816.349 1937.290 div-1 2782.755 4994.401 ss-2 5716.685 1019.037 ss-1 5716.685 5946.249 UDB 7620.381 3561.030 [VERTICES] ;;Link X-Coord Y-Coord ;;-------------- ------------------ ------------------ O1 8726.431 4361.761 W1 8726.431 2983.805 [Polygons] ;;Subcatchment X-Coord Y-Coord ;;-------------- ------------------ ------------------ N2-A -2912.934 6698.348 N2-A -2087.066 6698.348 N2-A -2087.066 7301.652 N2-A -2912.934 7301.652 N2-D -330.067 7239.362 N2-D -330.067 6640.258 N2-D 494.401 6638.858 N2-D 495.801 7240.761 N2-D -330.067 7240.761 N1-D -4330.907 5238.522 N1-D -4330.907 4640.817 N1-D -3505.039 4638.018 N1-D -3503.639 5242.721 N1-D -4329.507 5239.922 BMP-1 -1329.507 5240.482 BMP-1 -1329.507 4639.978 BMP-1 -506.439 4637.178 BMP-1 -503.639 5241.881 BMP-1 -1330.907 5240.482 N1-A -2830.627 3240.761 N1-A -2830.627 2638.858 N1-A -2004.759 2637.458 N1-A -2003.359 3242.161 N1-A -2830.627 3240.761 BMP-2 -329.507 1241.881 BMP-2 -330.907 639.978 BMP-2 493.561 637.178 BMP-2 496.361 1240.482 BMP-2 -329.507 1240.482 N3-A -3330.907 1239.362 N3-A -3330.907 640.258 N3-A -2505.039 637.458 N3-A -2503.639 1242.161 N3-A -3329.507 1240.761 N3-D -1329.507 -259.239 N3-D -1330.907 -861.142 N3-D -505.039 -862.542 N3-D -503.639 -257.839 N3-D -1330.907 -259.239 [SYMBOLS] ;;Gage X-Coord Y-Coord ;;-------------- ------------------ ------------------ OceansideRainfall 2189.250 8174.692 AVIARA APARTMENTS, 1205 AVIARA PARKWAY SB&O Inc. S.W.M.M. ~ HMP CONTINUOUS SIMULATION (858) 560-1141 www.SBOINC.com APPENDIX III: DRAIN COEFFICIENT CALCULATION SUMMARY Aviara Apts. SWMM MODEL - DRAIN ORIFICE CALCULATION SUMMARY BASIN ID BMP-1 DRAIN COEFF, C 0.31 0.3156 cg 0.6 ALID 3700 D 1.875 g 32.2 BASIN ID BMP-2 DRAIN COEFF, C 0.32 0.3222 cg 0.6 ALID 1955 D 1.375 g 32.2 Pl o t t e d : 5/ 2 / 2 0 2 2 1 0 : 4 7 A M D : \ 7 6 5 8 2 A V I A R A A P T S \ 0 3 D W G \ D X \ 7 6 5 8 2 D X 0 4 - E X I S T D R A I N A G E . D W G - t o n y . p 82 j .__ q GRAPHIC SCALE LEGEND DESCRIPTION PROPERTY LINE/PROJECT BOUNDARY EXISTING CONTOUR PROPOSED OMA LIMITS DIRECTION OF DRAINAGE SYMBOL ~ 6 JO __________, ------ OMA IDENTIFIER 'IDMA 'I OMA AREA (AC.) --------t-• T.9600 ------ -----------40' 0 40' 80' 12D' EXISTING DRAINAGE EXHIBIT FOR: AV/ARA APARTMENTS CARLSBAD, CALIFORNIA PLANNING ENGINEERING SURVEYING 3880 Ruffin Rosd, Suite 1 20 San Diego, Ca. !32123 858-560-11 41 858-560-8157 Fax 76582.25 Pl o t t e d : 7/ 1 0 / 2 0 2 3 1 2 : 2 1 P M D : \ 7 6 5 8 2 A V I A R A A P T S \ 0 3 D W G \ D X \ 7 6 5 8 2 D X 0 5 - P R O P O S E D D R A I N A G E . D W G - m g u a r i n DMA TOTAL AREA IMPERVIOUS IMPERVIOUS PERVIOUS EFFECTIVE IMPERVIOUS DCV SURFACE AREA REQUIRED * SURFACE AREA PROVIDED BMP TYPE / STANDARD BMP NO (SF)(SF)(%)(SF)(SF)(CF)(SF)(SF)ID N1A 47,818 45,427 95% 2,391 41,123 1,988 1,234 BIOFILTRATION PARTIAL PR-1 BMP-1 N1D 20,548 19,521 95% 1,027 17,877 864 536 BIOFILTRATION PARTIAL PR-1 BMP-1 N2A 73,343 69,676 95% 3,667 63,075 3,049 1,892 BIOFILTRATION PARTIAL PR-1 BMP-1 N2D 8,002 3,201 40% 4,801 4,321 209 130 BIOFILTRATION PARTIAL PR-1 BMP-1 149,711 137,824 92% 11,887 126,396 6,109 3,792 3,797 BIOFILTRATION PARTIAL PR-1 BMP-1 N3A 60,335 48,268 80% 12,067 44,648 2,158 1,339 BIOFILTRATION PARTIAL PR-1 BMP-2 N3D 28,606 14,303 50% 14,303 17,164 830 515 BIOFILTRATION PARTIAL PR-1 BMP-2 88,941 62,571 70% 26,370 61,812 2,988 1,854 2,195 BIOFILTRATION PARTIAL PR-1 BMP-2 - - - - - - - TOTAL 238,652 200,395 84% 38,257 188,208 9,097 Existing DMA Portion Area Imperv C (A) C (D)C C x A Description ID Soil A (ac) (%)(ac) Existing Warehouse / Lot E-1 0.7 5.48 85.0 0.80 0.81 0.803 4.40 Slope West E-2 0.0 1.29 0.0 0.20 0.35 0.350 0.45 Slope Southwest E-3 0.0 2.16 0.0 0.20 0.35 0.350 0.76 Slope Southwest E-4 0.1 2.81 0.0 0.20 0.35 0.335 0.94 Slope North E-5 1.0 0.35 0.0 0.20 0.35 0.200 0.07 TOTALS 12.09 38.53 0.548 6.62 Proposed DMA Portion Area Imperv C (A) C (D)C C x A Description ID Soil A (ac) (%)(ac) West BMP-1 N1A 1.00 1.10 95% 0.80 0.800 0.88 N1D 0.47 95% 0.81 0.38 N1 0.70 1.57 95% 0.803 1.26 Central BMP-1 N2A 1.00 1.68 95% 0.80 0.800 1.35 N2D 0.18 40% 0.37 0.07 N2 0.90 1.87 90% 0.758 1.41 East BMP-2 N3A 1.00 1.39 80% 0.76 1.05 N3D 0.66 50% 0.63 0.41 N3 0.7 2.04 70% 0.718 1.47 4.14 Site Runoff -CivilD 5.48 84% 0.755 4.14 EXIST. DRAINAGE AREA SUMMARY A VIARA WEST DMA AND BMP SUMMARY TABLE PROP. DRAINAGE AREA SUMMARY A VIARA WEST I I GRAPHIC SCALE 30' 0 30' 60' LEGEND DESCRIPT10N PROPERTY LINE/PROJECT BOUNDARY PROPOSED CURB AND GUTTER EXISDNG CONTOUR PROPOSED OMA LIMITS SOILS AREA DIRECDON OF DRAINAGE STORM DRAIN PIPE SIZE PER PLAN UNDERGROUND DETENDON BASIN SYMBOL ~ 6.!D ---______/ ------------ -so-so-so,- UDB OMA IDENDFIER •1DMA fl DMA AREA (AC.) ----------I--• 1.9600 90' PROPOSED DMA EXHIBIT FOR: AV/ARA APARTMENTS CARLSBAD, CALIFORNIA PLANNING ENGINEERING SURVEYING 3880 Ruffin Rosd, Suite 1 20 San Diego, Ca. !32123 858-560-11 41 858-560-8157 Fax 76582.25