Research on Runoff Management of Sponge Cities under Urban Expansion DOI Open Access
Hongliang Sun,

Shangkun Wu,

Qiyu Dong

et al.

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2103 - 2103

Published: July 25, 2024

To integrate the sponge city concept into urban development, we propose an analytical approach for runoff volume control, considering expansion. Using Changchun City as a case study and historical land-use data, simulated prediction of City’s structure 2035 change with GeoSOS-FLUS platform. We calculated storage volumes Low Impact Development (LID) designs using 2019 land surface data. The objective is 80% control rate by 2035. Through Monte Carlo simulation sensitivity analysis, assessed impact various types on LID calculations. Findings show that industrial significantly influences volumes. This highlights need precise surveys properties composition in planning more accurate analysis City. results indicate based current data may not meet long-term goals due to increased impervious surfaces coefficients during urbanization.

Language: Английский

Does self-containment of spatial scale and land use function contribute to mitigate urban heat island effects? Lessons from new towns in Shanghai DOI
Meizi You, ChengHe Guan

Land Use Policy, Journal Year: 2024, Volume and Issue: 146, P. 107323 - 107323

Published: Aug. 22, 2024

Language: Английский

Citations

3
Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging DOI
Yishuo Jiang, Jiake Li,

Yiping Li

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(8), P. 12387 - 12405

Published: Jan. 17, 2024

Language: Английский

Citations

2
Evaluating future flood risk mitigation capacities in major cities across China DOI
Kaixuan Dai, Changxiu Cheng,

Shi Shen

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101890 - 101890

Published: April 1, 2024

Language: Английский

Citations

2
Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study: AqQala, Iran) DOI Creative Commons

Arash Majidi,

Seyed Abbas Hosseini, Sara Nazif

et al.

Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(7), P. 3260 - 3275

Published: June 4, 2024

ABSTRACT Population growth, community development, and waste generation impact climate, land use, water resources, urban heat island effect. This research assesses the impacts of climate use changes on flood damage for different return periods (RPs) in AqQala area, Iran. Climate change anticipation is conducted using CMCC-ESM2 model under shared socioeconomic pathways (SSPs) 126, 370, 585 Intergovernmental Panel Change (IPCC) sixth assessment report (Coupled Model Intercomparison Project Phase 6 – CMIP6). The LARS-WG used to downscale climatic information, mapping processed through Landsat satellite images ENVI 5.3. Markov chain method implemented 2050 2080 via TerrSet. Hydrographs inundation maps are generated by Autodesk Storm Sanitary Analysis (SSA) Hydrologic Engineering Center's River System (HEC-RAS) models. Results show an increase average annual precipitation (up 46%) temperatures 3.39 °C) SSP scenarios until 2080. result indicates that more significant than change. Peak discharge damages could escalate 38 29%, respectively, worst-case scenario. Eco-friendly design implementation crucial improving situation.

Language: Английский

Citations

2
The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala DOI Open Access

Afeef Abdurahman Choorapulakkal,

Muhammed Madandola,

Amina Al-Kandari

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5142 - 5142

Published: June 17, 2024

In recent years, floods and climate-induced cataclysms have caused significant annual damage to livelihoods worldwide, with limited research on their vulnerability, impact, resilience, long-term adaptation strategies in developing countries. the South Indian State of Kerala, major flood 2018 immense economic losses low-lying densely populated Alappuzha District. While region has a heightened risk periodic flooding, considerable destruction buildings infrastructure highlights need for effective solutions resilience existing housing stock new construction. this context, study examines built environment Alappuzha, focusing building practices, potential approaches suitable that current literature does not address. This employs qualitative approach understand trends influencing socioeconomic cultural factors. The various data collection methods, including interviews, site observations, content analyses government reports, journal articles, popular media sources. findings indicate although there are three types established techniques (static elevated, floating, amphibious structures), suitability areas depends geographic, climatic, socioeconomic, contexts. Stilted houses become most common construction method, response climatic conditions. addition, highlight bounce-forth quality suggest further exploration by integrating them local technologies materials. concludes comprehensive is needed integrates traditional modern knowledge practices disaster reduction management enhance flooding.

Language: Английский

Citations

2
Analysis of Short-Term Heavy Rainfall-Based Urban Flood Disaster Risk Assessment Using Integrated Learning Approach DOI Open Access
Xinyue Wu, Hong Zhu, Liuru Hu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8249 - 8249

Published: Sept. 22, 2024

Accurate and timely risk assessment of short-term rainstorm-type flood disasters is very important for ecological environment protection sustainable socio-economic development. Given the complexity variability different geographical environments climate conditions, a single machine learning model may lead to overfitting issues in disaster assessment, limiting generalization ability such models. In order overcome this challenge, study proposed rainstorm framework under integrated model, which divided into two stages: The first stage uses microwave remote sensing images extract coverage establish samples, integrates multi-source heterogeneous data build index system. second stage, constraints Whale Optimization Algorithm (WOA), optimizes integration random forest (RF), support vector (SVM), logistic regression (LR) base models, then WRSL-Short-Term Flood Risk Assessment Model established. experimental results show that Area Under Curve (AUC) accuracy 89.27%, 0.95%, 1.77%, 2.07%, 1.86%, 0.47% higher than RF, SVM, LR, XGBoost, average weight RF-SVM-LR, respectively. evaluation metrics accuracy, Recall, F1 Score have improved by 5.84%, 21.50%, 11.06%, paper, used carry out waterlogging Henan Province, ArcGIS complete city map. research will provide scientific basis technical regional control management.

Language: Английский

Citations

2
Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster: a case study of Zhengzhou City, China DOI
Hongbo Zhao, Yangyang Liu, Yue Li

et al.

Cities, Journal Year: 2024, Volume and Issue: 155, P. 105444 - 105444

Published: Oct. 9, 2024

Language: Английский

Citations

2
Research on methodology for assessing social vulnerability to urban flooding: A case study in China DOI
Meimei Wu, Min Chen, Guixiang Chen

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132177 - 132177

Published: Oct. 1, 2024

Language: Английский

Citations

2
Operational sensitivity analysis of flooding volume in urban areas DOI
Leonardo Sandoval, Aronne Dell’Oca, Mònica Riva

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105928 - 105928

Published: Nov. 2, 2024

Language: Английский

Citations

2
Integrated evaluation and attribution of urban flood risk mitigation capacity: A case of Zhengzhou, China DOI Creative Commons
Kaixuan Dai,

Shi Shen,

Changxiu Cheng

et al.

Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 50, P. 101567 - 101567

Published: Nov. 15, 2023

The Zhengzhou City in China Urban flood risk mitigation (UFRM) refers to the runoff retention capacity of land surface urban regions. Previous studies have focused on assessing UFRM change central areas. Nevertheless, analysis considering heterogeneity and rural gradient is scarce. This study aims evaluate spatiotemporal its influencing factors different functional zones. An integrated framework combining hydrological model geographic information system (GIS) has been established assess evolution between 2000 2020. findings illustrate following: (1) experienced a 10.76% increase from 2010, followed by subsequent 3.38% decrease 2010 2020.(2) increased ecological areas while decreasing regions, revealing disparity supply demand. (3) adverse impact impervious surfaces surpasses influence precipitation intensity As result, this suggests that should avoid extensive expansion prioritize implementing low-impact development practices. zones implement rigorous policies protect natural preservation. These provide policymakers scientific foundation for devising sustainable strategies enhance resilience.

Language: Английский

Citations

6