Impact of 2D and 3D factors on urban flooding: Spatial characteristics and interpretable analysis of drivers DOI
Yongheng Wang, Qingtao Zhang,

Jingkun Zhang

et al.

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123537 - 123537

Published: March 1, 2025

Language: Английский

Assessment of Urban Flood Disaster Responses and Causal Analysis at Different Temporal Scales Based on Social Media Data and Machine Learning Algorithms DOI Creative Commons

Qichen Guo,

Sheng Jiao, Yuchen Yang

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: 117, P. 105170 - 105170

Published: Jan. 5, 2025

Language: Английский

Citations

4
Mapping of Flood-Prone Areas Utilizing GIS Techniques and Remote Sensing: A Case Study of Duhok, Kurdistan Region of Iraq DOI Creative Commons

Aumed Rahman M Amen,

Andam Mustafa,

Dalshad Ahmed Kareem

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(4), P. 1102 - 1102

Published: Feb. 17, 2023

One of the most common types natural disaster, floods can happen anywhere on Earth, except in polar regions. The severity damage caused by flooding be reduced putting proper management and protocols into place. Using remote sensing a geospatial methodology, this study attempts to identify flood-vulnerable areas central district Duhok, Iraq. analytical hierarchy process (AHP) technique was used give relative weights 12 contributing parameters, including elevation, slope, distance from river, rainfall, land use cover, soil, lithology, topographic roughness index, wetness aspect, sediment transport stream power index order calculate Flood Hazard Index (FHI). importance each criterion revealed sensitivity analysis parameter values. This research developed final flood susceptibility map identified high-susceptible zones. classified very low high classifications for its potential hazard. generated indicates that 44.72 km2 total area Duhok city has flooding, these require significant attention government authorities reduce vulnerability.

Language: Английский

Citations

34
Flood risk assessment of Wuhan, China, using a multi-criteria analysis model with the improved AHP-Entropy method DOI
Yiqing Chen, Deyun Wang,

L. Zhang

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(42), P. 96001 - 96018

Published: Aug. 10, 2023

Language: Английский

Citations

30
Analyzing the impacts of topographic factors and land cover characteristics on waterlogging events in urban functional zones DOI
Wenzhao Liu, Xin Zhang, Qi Feng

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 904, P. 166669 - 166669

Published: Aug. 30, 2023

Language: Английский

Citations

27
A novel framework for urban flood risk assessment: Multiple perspectives and causal analysis DOI
Yongheng Wang, Qingtao Zhang, Kairong Lin

et al.

Water Research, Journal Year: 2024, Volume and Issue: 256, P. 121591 - 121591

Published: April 8, 2024

Language: Английский

Citations

16
Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management DOI Creative Commons

Mandip Banjara,

Amrit Bhusal, Amrit Babu Ghimire

et al.

Geosciences, Journal Year: 2024, Volume and Issue: 14(2), P. 40 - 40

Published: Feb. 2, 2024

Land use and land cover (LULC) change is one of the primary contributors to hydrological in urban watersheds can potentially influence stream flow flood volume. Understanding impacts LULC on processes critical effective water management minimizing risks. In this context, study aims determine response a fast transitioning watershed for predicted years 2050 2080. This research employs hybrid classification technique, Cellular Automata–Markov (CA–Markov) model predict changes, utilizing data from 2001, 2013, 2021. Additionally, it incorporates calibrated, event-specific hydrologic known as Personal Computer Storm Water Management Model (PCSWMM) assess alterations responses storm events various magnitudes. The findings indicate transition into an urbanized landscape, replacing previous dominance agriculture forested areas. initial area, constituting 11.6% total area 2021, expands 34.1% 44.2% by 2080, respectively. Due there are increases peak discharge 5% 6.8% runoff volume 8% 13.3% 2080 100-year return period event. Yet, extent these changes intensifies notably during with lower periods. heightened impact directly attributed swift urbanization watershed. These results underscore pressing necessity regulate preserve equilibrium.

Language: Английский

Citations

15
Urban flood susceptibility mapping using remote sensing, social sensing and an ensemble machine learning model DOI
Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105508 - 105508

Published: May 5, 2024

Language: Английский

Citations

11
Optimizing the deployment of LID facilities on a campus-scale and assessing the benefits of comprehensive control in Sponge City DOI
Xianbao Zha,

Fang Wei,

Wei Zhu

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 635, P. 131189 - 131189

Published: April 7, 2024

Language: Английский

Citations

9
Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China DOI
Shiqi Zhou,

Weiyi Jia,

Mo Wang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 369, P. 122330 - 122330

Published: Sept. 3, 2024

Language: Английский

Citations

9
A multiscale physically-based approach to urban flood risk assessment using ABM and multi-source remote sensing data DOI

Xinyi Shu,

Chenlei Ye,

Zongxue Xu

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105332 - 105332

Published: Feb. 1, 2025

Language: Английский

Citations

1