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A coupled hydrodynamic and particle-tracking model for full-process simulation of nonpoint source pollutants

journal contribution
posted on 26.01.2021, 14:33 by Jinghua Jiang, Qiuhua LiangQiuhua Liang, Xilin XiaXilin Xia, Jingming Hou
Nonpoint source (NPS) particulate pollutants are a major source of urban surface pollution. It is essential to better understand and model the dynamic process of NPS pollutants to inform the design of effective strategies for urban stormwater management and pollution control. This work presents a novel coupled hydrodynamic and particle-based model to simulate the full-process dynamics of NPS particulate pollutants from detachment, transport to deposition in urban areas. A particle-based approach is proposed to represent the physical processes of pollutant detachment and deposition. The transport of pollutant particles is simulated using a random-walk particle-tracking model, which can directly trace out the trajectories of individual particles and hence identify the pathways of pollutants. The new coupled hydrodynamic and particle-based stormwater quality model is successfully validated against several analytical and experimental test cases to demonstrate its capability in accurately simulating the full-process dynamics of NPS particulate pollutants in urban areas.

Funding

[Viet Nam] Valuing the benefits of blue/green infrastructure for flood resilience, natural capital and urban development in Viet Nam

Natural Environment Research Council

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History

School

  • Architecture, Building and Civil Engineering

Published in

Environmental Modelling & Software

Volume

136

Publisher

Elsevier BV

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Environmental Modelling & Software and the definitive published version is available at https://doi.org/10.1016/j.envsoft.2020.104951.

Acceptance date

09/12/2020

Publication date

2020-12-15

Copyright date

2020

ISSN

1364-8152

Language

en

Depositor

Prof Qiuhua Liang. Deposit date: 22 January 2021

Article number

104951