Water supply | 2019

Surface runoff and pollutant load response to urbanization, climate variability, and low impact developments – a case study

 
 
 

Abstract


Using the Storm Water Management Model (SWMM), this study evaluated the impacts of (a) 20% and 50% urbanization at the mountainous Mahabad Dam watershed in Iran, as probable future land developments, (b) the urbanization location (near the outlet, in the middle, and at the far end of the watershed), (c) climate variability (increase in evaporation and rainfall intensity), and (d) implementing vegetative swales as low impact developments (LIDs), on watershed-generated runoff and pollutant loads (total suspended solids (TSS), total nitrogen (TN), and total phosphorus (TP)). Combination of the above-mentioned factors resulted in 17 scenarios, and each scenario was run for a 12-hour simulation in the model. The results indicated that based on land developments, areas with more dominant agricultural land generated more TN and TP, areas with more undeveloped lands generated more TSS, and more urbanized areas generated more runoff. Moreover, the 50% urbanization scenario resulted in more runoff and pollutant loads, compared with the 20% urbanization scenario. Under scenarios with climate variability, runoff and pollutant load peaks occurred earlier in time, due to the higher intensity rainfall events. Furthermore, LIDs decreased pollutant loads up to 25%, indicating their effectiveness in decreasing the impact of urbanization on receiving water bodies. doi: 10.2166/ws.2019.123 s://iwaponline.com/ws/article-pdf/doi/10.2166/ws.2019.123/603723/ws2019123.pdf Mohammad Nazari-Sharabian (corresponding author) Moses Karakouzian Department of Civil and Environmental Engineering and Construction, University of Nevada Las Vegas, Las Vegas, NV 89154, USA E-mail: [email protected] Masoud Taheriyoun Department of Civil Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran

Volume 19
Pages 2410-2421
DOI 10.2166/ws.2019.123
Language English
Journal Water supply

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