Efficacy of a retention pond in treating stormwater nutrients and sediment

JOURNAL OF CLEANER PRODUCTION

卷:290

Article

Yazdi, Mohammad Nayeb¹  Scott, Durelle¹  Sample, David J.¹  Wang, Xixi² 

[1] Virginia Polytech Inst & State Univ, Dept Biol Syst Engn, Blacksburg, VA USA

[2] Old Dominion Univ, Dept Civil & Environm Engn, Norfolk, VA USA

关键词: Stormwater treatment;    Retention pond;    SWMM;    Nutrients;    Sediment;    Coastal plain;   

DOI  :  10.1016/j.jclepro.2021.125787

来源: Elsevier

【 摘 要 】

Urban retention ponds are a common stormwater control measure (SCM), particularly in rapidly developing coastal areas due to their physiography. A retention pond can hold a large percentage of its inflow for a period of time and then gradually release it, allowing suspended sediments and attached pollutants to settle out and enabling biological and physicochemical processes (e.g., uptake or adsorption), reducing pollutant concentrations. On the other hand, retention ponds can also become a source of pollutants resuspended or mobilized from bottom sediments. This study instrumented a retention pond located in a mid-Atlantic coastal city to monitor inflows and outflows for a one-year period. The pond was not designed to provide water quality treatment, so no forebay or multiple-outlets are present, thus this pond may represent a baseline condition. The results indicated that during colder months (defined as the average temperature < 15 degrees C), the pond reduced total suspended sediments (TSS) and phosphorus (P) by 62% and 10%, respectively, but it exported nitrogen (N), increasing the outflow N concentration by 8%. During warm weather, the pond's treatment efficiency improved, with an average TSS reduction of 75% and the N and P reductions of 47% and 10%, respectively. This increased treatment effectiveness is probably caused by the more active biological activities (e.g., nitrification and denitrification) during the warmer months. A Storm Water Management Model (SWMM) model was parameterized and calibrated to simulate the pond. The model simulated TSS and total P (TP) treatment reasonably well, but less so for total N (TN) treatment, and depended on the season. Modeling could extend the reach of the assessment of performance beyond the limit of a one-year monitoring study. Additional research is suggested to better understand the dynamics and predictability of biogeochemical processes within ponds, particularly for N. (C) 2021 Elsevier Ltd. All rights reserved.

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