Improving detention ponds for effective stormwater management and water quality enhancement under future climate change: a simulation study using the PCSWMM model

Yasir Abduljaleel; Ali Salem; Faraz Ul Haq; Ahmed Awad; Mustapha Amiri

doi:10.1038/s41598-023-32556-x

Improving detention ponds for effective stormwater management and water quality enhancement under future climate change: a simulation study using the PCSWMM model

Sci Rep. 2023 Apr 5;13(1):5555. doi: 10.1038/s41598-023-32556-x.

Authors

Yasir Abduljaleel¹, Ali Salem^{2

3}, Faraz Ul Haq⁴, Ahmed Awad⁵, Mustapha Amiri⁶

Affiliations

¹ Department of Civil and Environmental Engineering, Washington State University, Richland, WA, 99354, USA.
² Civil Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt. alisalem@gamma.ttk.pte.hu.
³ Doctoral School of Earth Sciences, University of Pécs, Ifjúság Útja 6, Pecs, 7624, Hungary. alisalem@gamma.ttk.pte.hu.
⁴ Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan.
⁵ Egyptian Ministry of Water Resources and Irrigation (MWRI), Giza, 11925, Egypt.
⁶ Geomatics and Soil Management Laboratory, Faculty of Arts and Humanities, Université Mohammed Premier Oujda, 60000, Oujda, Morocco.

Abstract

Urban surfaces are often covered by impermeable materials such as concrete and asphalt which intensify urban runoff and pollutant concentration during storm events, and lead to the deterioration of the quality of surrounding water bodies. Detention ponds are used in urban stormwater management, providing two-fold benefits: flood risk reduction and pollution load minimization. This paper investigates the performance of nine proposed detention ponds (across the city of Renton, Washington, USA) under different climate change scenarios. First, a statistical model was developed to estimate the pollutant load for the current and future periods and to understand the effects of increased rainfall on stormwater runoff and pollutant loads. The Personal Computer Storm Water Management Model (PCSWMM) platform is employed to calibrate an urban drainage model for quantifying stormwater runoff and corresponding pollutant loads. The calibrated model was used to investigate the performance of the proposed nine (9) detention ponds under future climate scenarios of 100-year design storms, leading to identifying if they are likely to reduce stormwater discharge and pollutant loads. Results indicated significant increases in stormwater pollutants due to increases in rainfall from 2023 to 2050 compared to the historical period 2000-2014. We found that the performance of the proposed detention ponds in reducing stormwater pollutants varied depending on the size and location of the detention ponds. Simulations for the future indicated that the selected detention ponds are likely to reduce the concentrations (loads) of different water quality constituents such as ammonia (NH₃), nitrogen dioxide (NO₂), nitrate (NO₃), total phosphate (TP), and suspended solids (SS) ranging from 18 to 86%, 35-70%, 36-65%, 26-91%, and 34-81%, respectively. The study concluded that detention ponds can be used as a reliable solution for reducing stormwater flows and pollutant loads under a warmer future climate and an effective adaptation option to combat climate change related challenges in urban stormwater management.