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Design and Construction of an Urban Runoff Research Facility
Published on: August 8, 2014
[Review of urban nonpoint source pollution models]
Long Wang1, Yue-Fei Huang, Guang-Qian Wang
1State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China. wanglong08@mails.tsinghua.edu.cn
Huan Jing Ke Xue= Huanjing Kexue
|January 15, 2011
Summary
This review examines urban nonpoint source pollution models, discussing their features and limitations. Future research should enhance sediment and pollutant transport simulation for more accurate urban pollution modeling.
Area of Science:
- Environmental Engineering
- Water Resource Management
- Urban Planning
Background:
- Urban nonpoint source pollution poses significant environmental challenges.
- Accurate modeling is crucial for effective pollution control and management.
- Existing models have varying degrees of applicability and limitations.
Purpose of the Study:
- To review the development history of urban nonpoint source pollution models.
- To discuss the features, applicability, and limitations of seven popular models.
- To present methodologies and findings on uncertainty in urban nonpoint source pollution modeling.
Main Methods:
- Literature review of urban nonpoint source pollution models.
- Analysis of seven popular models: SWMM, STORM, SLAMM, HSPF, DR3M-QUAL, MOUSE, and HydroWorks.
- Presentation of analytical probabilistic models for urban nonpoint source estimation.
Main Results:
- Identified shortcomings and gaps in current urban nonpoint source pollution models.
- Highlighted the need for improvements in modeling pollutant buildup, washoff, transport, and biochemical reactions.
- Noted that many Chinese-developed models are empirical, limiting their accuracy and applicability.
Conclusions:
- Future research should focus on enhancing the fate and transport simulation of sediments and pollutants.
- Developing methodologies for data-scarce regions and stochastic models is recommended.
- Integration of Geographic Information Systems (GIS) can improve urban nonpoint source pollution simulation.
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