A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Particle Size Effect in Urban Road-Deposited Sediment Wash-Off Process: Physical Experiments and Cellular Automata-Based Modeling
https://orcid.org/0000-0003-0905-7591
Understanding the urban wash-off process of road-deposited sediment (RDS) is essential for controlling nonpoint source (NPS) pollution and restoring the water environment. However, most existing urban wash-off models neglect the impact of RDS particle size, resulting in poor simulation of the peak total suspended solid (TSS) concentration. This study conducted physical experiments and developed an urban hydro-sediment model based on cellular automata (UHSCA) to investigate the impact of particle size on the RDS wash-off process. Our findings reveal that the RDS wash-off process exhibits varying particle size effects under different rainfall events. The proposed UHSCA model, utilizing a multiple-particle size approach, more accurately captures the peak TSS (TSSpeak) concentration compared to the conventional single-particle size approach; the relative error of TSSpeak decreased by approximately 26%, and the Nash–Sutcliffe efficiency increased by approximately 22% for light and moderate rainfall events. These findings and the developed model provide extended essential knowledge and effective tools for understanding the spatiotemporal dynamics of urban NPS pollution, significantly aiding in the design of methods for finely intercepting and treating the pollution load from the initial runoff.
The multiparticle size approach could significantly improve the model accuracy of urban nonpoint source pollution with important implications for first-flush control.
Particle Size Effect in Urban Road-Deposited Sediment Wash-Off Process: Physical Experiments and Cellular Automata-Based Modeling
https://orcid.org/0000-0003-0905-7591
Understanding the urban wash-off process of road-deposited sediment (RDS) is essential for controlling nonpoint source (NPS) pollution and restoring the water environment. However, most existing urban wash-off models neglect the impact of RDS particle size, resulting in poor simulation of the peak total suspended solid (TSS) concentration. This study conducted physical experiments and developed an urban hydro-sediment model based on cellular automata (UHSCA) to investigate the impact of particle size on the RDS wash-off process. Our findings reveal that the RDS wash-off process exhibits varying particle size effects under different rainfall events. The proposed UHSCA model, utilizing a multiple-particle size approach, more accurately captures the peak TSS (TSSpeak) concentration compared to the conventional single-particle size approach; the relative error of TSSpeak decreased by approximately 26%, and the Nash–Sutcliffe efficiency increased by approximately 22% for light and moderate rainfall events. These findings and the developed model provide extended essential knowledge and effective tools for understanding the spatiotemporal dynamics of urban NPS pollution, significantly aiding in the design of methods for finely intercepting and treating the pollution load from the initial runoff.
The multiparticle size approach could significantly improve the model accuracy of urban nonpoint source pollution with important implications for first-flush control.
Particle Size Effect in Urban Road-Deposited Sediment Wash-Off Process: Physical Experiments and Cellular Automata-Based Modeling
https://orcid.org/0000-0003-0905-7591
Understanding the urban wash-off process of road-deposited sediment (RDS) is essential for controlling nonpoint source (NPS) pollution and restoring the water environment. However, most existing urban wash-off models neglect the impact of RDS particle size, resulting in poor simulation of the peak total suspended solid (TSS) concentration. This study conducted physical experiments and developed an urban hydro-sediment model based on cellular automata (UHSCA) to investigate the impact of particle size on the RDS wash-off process. Our findings reveal that the RDS wash-off process exhibits varying particle size effects under different rainfall events. The proposed UHSCA model, utilizing a multiple-particle size approach, more accurately captures the peak TSS (TSSpeak) concentration compared to the conventional single-particle size approach; the relative error of TSSpeak decreased by approximately 26%, and the Nash–Sutcliffe efficiency increased by approximately 22% for light and moderate rainfall events. These findings and the developed model provide extended essential knowledge and effective tools for understanding the spatiotemporal dynamics of urban NPS pollution, significantly aiding in the design of methods for finely intercepting and treating the pollution load from the initial runoff.
The multiparticle size approach could significantly improve the model accuracy of urban nonpoint source pollution with important implications for first-flush control.
Particle Size Effect in Urban Road-Deposited Sediment Wash-Off Process: Physical Experiments and Cellular Automata-Based Modeling
He, Mengnan (author) / Chen, Qiuwen (author) / Chen, Cheng (author) / Zheng, Feifei (author) / Zhang, Jianyun (author) / Zhang, Jianmin (author) / Cui, Zhen (author)
ACS ES&T Water ; 4 ; 2906-2917
2024-07-12
Article (Journal)
Electronic Resource
English
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