The essential function of Low Impact Development facilities in mitigating urban flood disasters: Approach for multi-source data fusion simulation DOI Creative Commons
Fang Zhou,

Jiangtao Wang,

Zhisen Lu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Abstract The urbanization process has exacerbated the severity of flood disasters, while Low Impact Development (LID) can play a pivotal role in mitigating such floods. This research aims to simulate urban flooding and evaluate effects LID facilities. By integrating multi-source data, we adopt Soil Conservation Service (SCS) model distribution under various scenarios. To delve deeper into facilities, incorporate their absorption treatment capabilities SCS model, resulting development SCS-L model. Suitability analysis dictates category facilities be constructed, on are quantitatively assessed. Findings emphasize that enhancing effectiveness significantly contributes preventing shallow inundation. While it also exhibits positive deep inundation, there inherent constraints. Expanding deployment area effectively diminish inundation area, but increase nonlinearly. Strategically designed layouts for optimize impacts both depth. underscores essential disasters. conclusion this paper provides support construction resilient cities.

Language: Английский

Advancing Sponge City Implementation in China: The Quest for a Strategy Model DOI

Faiza Chikhi,

Chuancheng Li, Qunfeng Ji

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(7), P. 2251 - 2277

Published: Feb. 22, 2024

Language: Английский

Citations

6
Short-term water quality prediction of reclaimed water plant effluent and key measurement sections based on a surrogate prediction model DOI
Jing Feng, Yu Tian, Peng Li

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125147 - 125147

Published: March 30, 2025

Language: Английский

Citations

0
Study on SWMM Calibration and Optimizing the Layout of LID Based on Intellgent Algorithm: A Case in Campus DOI
Kehan Liu, Jiake Li, Jiayu Gao

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Language: Английский

Citations

0
A Study on Plant Selection for Low-Carbon Rain Gardens Based on an AHP-TOPSIS Model DOI Open Access
Zejia Zhao, Jian Chen,

Songlei Han

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 2097 - 2097

Published: March 2, 2024

Low-impact development (LID) measures are crucial for solving water environment problems during sponge city construction. Optimizing LID to meet multi-objective demands is essential achieving low-carbon and green operation of cities under the goal ‘dual carbon’. To select optimal rain garden plants suitable construction a coastal city, set AHP-TOPSIS applicability assessments was constructed. The assessment index system comprises three main categories indices: economic cost, ecological benefit, environmental adaptability. hierarchical analysis method (AHP) used construct plant evaluation from decision-making levels eleven criterion levels. This assigned weights each in system. Subsequently, distance between superior inferior solutions (TOPSIS) evaluate overall performance 14 tree species, 10 shrub 12 herbaceous species commonly found gardens China, so as identify target demand

Language: Английский

Citations

2
The Application and Potential of Multi-Objective Optimization Algorithms in Decision-Making for LID Facilities Layout DOI
Yuanyuan Xie, Haiyan Wang, Kaiyi Wang

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(14), P. 5403 - 5417

Published: July 10, 2024

Language: Английский

Citations

2
The essential function of Low Impact Development facilities in mitigating urban flood disasters: Approach for multi-source data fusion simulation DOI Creative Commons
Fang Zhou,

Jiangtao Wang,

Zhisen Lu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Abstract The urbanization process has exacerbated the severity of flood disasters, while Low Impact Development (LID) can play a pivotal role in mitigating such floods. This research aims to simulate urban flooding and evaluate effects LID facilities. By integrating multi-source data, we adopt Soil Conservation Service (SCS) model distribution under various scenarios. To delve deeper into facilities, incorporate their absorption treatment capabilities SCS model, resulting development SCS-L model. Suitability analysis dictates category facilities be constructed, on are quantitatively assessed. Findings emphasize that enhancing effectiveness significantly contributes preventing shallow inundation. While it also exhibits positive deep inundation, there inherent constraints. Expanding deployment area effectively diminish inundation area, but increase nonlinearly. Strategically designed layouts for optimize impacts both depth. underscores essential disasters. conclusion this paper provides support construction resilient cities.

Language: Английский

Citations

0