Chapter
Dec 4, 2017
International Low Impact Development Conference China 2016

Estimating Water Quality Capture Volume for LID Designs Using a Mechanical Wash-Off Model

Publication: International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects

ABSTRACT

In order to achieve the balance between the effect of pollutant control and the cost of LID construction, the water capture volume should be properly determined. Generally, the water quality capture volume (WQCV) is optimized by using empirical model. In this study, a mechanical wash-off model with one-dimensional kinematic wave equation is calibrated and validated by two rainfall events collected in Shenzhen, China. Then, this model is used to derive the WQCV with the normalized runoff volume and pollutant mass. With a relatively high Nash coefficient in simulating TSS concentration (0.56~0.91), the model draw to the conclusion that the first 55% runoff volume contains 80% pollutants, which is similar to that of empirical model. Therefore, although mechanical model scientifically illustrates the wash-off process, it is reasonable to use empirical model because of the heavy calculation of mechanical model.

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ACKNOWLEDGE

This research was supported by Shenzhen Science and Technology Development Fund Project (ZDSYS20140509094114169). Gratefully acknowledge classmates who involve in rainfall data collection.

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Go to International Low Impact Development Conference China 2016
International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects
Pages: 118 - 125
Editors: Haifeng Jia, Ph.D., Tsinghua University, Shaw L. Yu, Ph.D., University of Virginia, Robert Traver, Ph.D., Villanova University, Huapeng Qin, Ph.D., Peking University Shenzhen Graduate School, Junqi Li, Ph.D., Beijing University of Civil Engineering and Architecture, and Mike Clar, Ecosite, Inc.
ISBN (Online): 978-0-7844-8104-2

History

Published online: Dec 4, 2017

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Authors

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Qi Zhang
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking Univ. Shenzhen Graduate School, 518055 Shenzhen, China
Fang Yang
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking Univ. Shenzhen Graduate School, 518055 Shenzhen, China
Zhijie Zhao [email protected]
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking Univ. Shenzhen Graduate School, 518055 Shenzhen, China (corresponding author). E-mail: [email protected]

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