4.7 Article

A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds

期刊

JOURNAL OF HYDROLOGY
卷 586, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jhydrol.2020.124886

关键词

Low impact development; Storm water management model; Water quality; Climate change

资金

  1. Basic Core Technology Development Program for the Oceans
  2. Polar Regions of the National Research Foundation (NRF) - Ministry of Science, ICT & Future Planning, South Korea [NRF-2016M1A5A1027457]
  3. Korea Environment Industry & Technology Institute (KEITI) - Ministiry of Environment, South Kroea [2016001970001]
  4. National Research Foundation of Korea [미래선도형특성화연구] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

The rapid increase of impervious area and climate change greatly affect the hydrological, environmental, and ecological system at the local, regional, and global scales. These phenomena can increase the peak flow and surface runoff carrying anthropogenic pollutants, thereby severely deteriorating the water quality of the surface waters. Low-impact development (LID) practices have been proposed as a promising urban management methodology to mitigate these environmental issues. Numerical models have been increasingly utilized as an analyzing tool for evaluating the LID performance. However, LID-associated numerical models are oversimplified in terms of water quality simulation by only considering the dilution effect by rainfall in LIDs. This study resolved this challenge by modifying the water quality module of LID in the stormwater management model (SWMM). We evaluated the module performance for simulating total suspended solids (TSS), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) of the LID facilities. Using the developed model, we conducted the LID scenario analysis under the climate change scenarios. The scenario analysis was applied in the urban area which focused on flow rate and TSS. The modified module provided accurate results for pollutant simulations, yielding an average value of Root mean square error-observation Standard deviation Ratio (RSR) of 0.52, while the original module showed an unacceptable performance, with an RSR value of 1.11. Scenario analysis showed that the hydrological outputs were sensitive to the volume of rainfall while the water quality results were sensitive to the temporal distribution of rainfall. Based on these statements, the modified water quality module in LID developed in this study will be useful in designing LID facilities and in formulating guidelines for LID installation.

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