Performance Analysis of an Urban Stormwater Best Management Practice Retrofit

Historically, the primary objective of traditional stormwater best management practices (BMPs) was to attenuate peak runoff discharges from urban areas. There has been growing demand to construct BMPs that improve stormwater runoff quality to reduce pollutant loading into downstream water bodies. A...

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Main Author: Simko, Andrew Jack
Other Authors: Civil and Environmental Engineering
Format: Others
Published: Virginia Tech 2016
Subjects:
Online Access:http://hdl.handle.net/10919/64931
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-649312020-09-29T05:45:03Z Performance Analysis of an Urban Stormwater Best Management Practice Retrofit Simko, Andrew Jack Civil and Environmental Engineering Grizzard, Thomas J. Godrej, Adil N. Moglen, Glenn Emery Best management practice Event Mean Concentration Summation of Loads Method Effluent Probability Method Historically, the primary objective of traditional stormwater best management practices (BMPs) was to attenuate peak runoff discharges from urban areas. There has been growing demand to construct BMPs that improve stormwater runoff quality to reduce pollutant loading into downstream water bodies. A BMP located in Herndon, Virginia was retrofitted in 2009. Previously a dry detention pond, the new BMP design contains permanent wet pools as well as elements of Low Impact Development practices. A performance analysis was conducted on the retrofit to determine if the BMP was removing pollutants from stormwater runoff. Two mass-based methods were utilized for the performance analysis: the Summation of Loads Method and Effluent Probability Method. The Kaplan-Meier method and Robust Regression on ordered statistics (ROS) were used to make it possible to include censored datasets in the analysis. Analysis with the SOL method showed removal of suspended sediment, nitrogen, iron, and copper. Export of dissolved solids, phosphorus, organic carbon, and manganese was observed. The results of the Effluent Probability Method showed statistically significant reductions of sediment, iron, and copper across the entire range of monitored storm event sizes (p-value≤0.05). There was no statistical difference between the influent and effluent loads of nitrogen. Negative performance of dissolved solids, phosphorus, organic carbon, and manganese were observed for the entire range of monitored storm event sizes. The results of both methods indicated that the BMP retrofit is effectively removing sediment but failing to achieve significant nutrient reductions. This may be due to the creation of anoxic conditions from the oxygen demand of the micropool sediments and microbial degradation of vegetation within the BMP. Removal of the sediment bed and harvesting of the vegetation would likely improve the performance of the BMP. Master of Science 2016-03-16T06:00:22Z 2016-03-16T06:00:22Z 2014-09-22 Thesis vt_gsexam:3668 http://hdl.handle.net/10919/64931 In Copyright http://rightsstatements.org/vocab/InC/1.0/ ETD application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic Best management practice
Event Mean Concentration
Summation of Loads Method
Effluent Probability Method
spellingShingle Best management practice
Event Mean Concentration
Summation of Loads Method
Effluent Probability Method
Simko, Andrew Jack
Performance Analysis of an Urban Stormwater Best Management Practice Retrofit
description Historically, the primary objective of traditional stormwater best management practices (BMPs) was to attenuate peak runoff discharges from urban areas. There has been growing demand to construct BMPs that improve stormwater runoff quality to reduce pollutant loading into downstream water bodies. A BMP located in Herndon, Virginia was retrofitted in 2009. Previously a dry detention pond, the new BMP design contains permanent wet pools as well as elements of Low Impact Development practices. A performance analysis was conducted on the retrofit to determine if the BMP was removing pollutants from stormwater runoff. Two mass-based methods were utilized for the performance analysis: the Summation of Loads Method and Effluent Probability Method. The Kaplan-Meier method and Robust Regression on ordered statistics (ROS) were used to make it possible to include censored datasets in the analysis. Analysis with the SOL method showed removal of suspended sediment, nitrogen, iron, and copper. Export of dissolved solids, phosphorus, organic carbon, and manganese was observed. The results of the Effluent Probability Method showed statistically significant reductions of sediment, iron, and copper across the entire range of monitored storm event sizes (p-value≤0.05). There was no statistical difference between the influent and effluent loads of nitrogen. Negative performance of dissolved solids, phosphorus, organic carbon, and manganese were observed for the entire range of monitored storm event sizes. The results of both methods indicated that the BMP retrofit is effectively removing sediment but failing to achieve significant nutrient reductions. This may be due to the creation of anoxic conditions from the oxygen demand of the micropool sediments and microbial degradation of vegetation within the BMP. Removal of the sediment bed and harvesting of the vegetation would likely improve the performance of the BMP. === Master of Science
author2 Civil and Environmental Engineering
author_facet Civil and Environmental Engineering
Simko, Andrew Jack
author Simko, Andrew Jack
author_sort Simko, Andrew Jack
title Performance Analysis of an Urban Stormwater Best Management Practice Retrofit
title_short Performance Analysis of an Urban Stormwater Best Management Practice Retrofit
title_full Performance Analysis of an Urban Stormwater Best Management Practice Retrofit
title_fullStr Performance Analysis of an Urban Stormwater Best Management Practice Retrofit
title_full_unstemmed Performance Analysis of an Urban Stormwater Best Management Practice Retrofit
title_sort performance analysis of an urban stormwater best management practice retrofit
publisher Virginia Tech
publishDate 2016
url http://hdl.handle.net/10919/64931
work_keys_str_mv AT simkoandrewjack performanceanalysisofanurbanstormwaterbestmanagementpracticeretrofit
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