Cities, Journal Year: 2025, Volume and Issue: 163, P. 106003 - 106003
Published: April 28, 2025
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 947, P. 174290 - 174290
Published: July 3, 2024
Language: Английский
Citations
6
Water Resources Management, Journal Year: 2024, Volume and Issue: 38(15), P. 5823 - 5864
Published: Aug. 3, 2024
Language: Английский
Citations
5
Natural Hazards, Journal Year: 2024, Volume and Issue: 120(5), P. 4233 - 4255
Published: Jan. 8, 2024
Language: Английский
Citations
4
Journal of Contemporary Urban Affairs, Journal Year: 2024, Volume and Issue: 8(1), P. 57 - 78
Published: March 10, 2024
Floods, exacerbated by escalating urbanization, pose significant threats to life and property globally. Over the past decade, Esenyurt district in Istanbul has witnessed a series of floods, highlighting existing flood risks. Rapid population growth this area dense urbanization caused intensive construction increase Given these factors, study focuses on examining historical impact risks, considering spatial temporal changes. Landsat-8 satellite data, specifically NDVI, NDBI, BU, was employed detect building imprints reveal their backgrounds for risk calculations. The analysis showed sudden rates 2016, 2017, 2021. In calculations, 2014 data return period 100 years were used inundation depth, economic damages, affected depth-damage function taken into consideration. results indicate that from 2022, increasing led 32.9% 22.3% rise potential damage, 13.6% total risk. relationship between contemporary its dimensions been evaluated reduce risks achieve sustainable cities.
Language: Английский
Citations
4
Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 123842 - 123842
Published: Jan. 1, 2025
Language: Английский
Citations
0
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 524 - 524
Published: Feb. 3, 2025
Climate change has led to an increase in global temperature and frequent intense precipitation, resulting a rise severe urban flooding worldwide. This growing threat is exacerbated by rapid urbanization, impervious surface expansion, overwhelmed drainage systems, particularly regions. As becomes more catastrophic causes significant environmental property damage, there urgent need understand address flood susceptibility mitigate future damage. review aims evaluate remote sensing datasets key parameters influencing provide comprehensive overview of the causative factors utilized mapping. also highlights evolution traditional, data-driven, big data, GISs (geographic information systems), machine learning approaches discusses advantages limitations different mapping approaches. By evaluating challenges associated with current practices, this paper offers insights into directions for improving management strategies. Understanding identifying foundation developing effective resilient practices will be beneficial mitigating
Language: Английский
Citations
0
Sustainable Water Resources Management, Journal Year: 2025, Volume and Issue: 11(2)
Published: Feb. 27, 2025
Language: Английский
Citations
0
International Journal of Building Pathology and Adaptation, Journal Year: 2025, Volume and Issue: unknown
Published: March 4, 2025
Purpose Flooding is China’s most frequent and catastrophic natural hazard, causing extensive damage. The aim of this study to develop a comprehensive assessment urban flood risk in the Hubei Province China, focusing on following three issues: (1) What are factors that cause floods? (2) To what extent do these affect management? (3) How build an effective system can be used reduce risk? Design/methodology/approach This combines expert opinion evidence from literature identify indicators across four dimensions: disaster risk, susceptibility, exposure prevention mitigation. Criteria Importance Through Intercriteria Correlation (CRITIC) Grey Relational Analysis (RA)-based Technique for Order Preference by Similarity Ideal Solution (TOPSIS) decision-making approach were applied calculate weighting model risk. Then, ArcGIS software visualizes levels spatial distribution cities Province; uncertainty analysis verified method accuracy. Findings results show there significant differences level Province, with such as Tianmen, Qianjiang, Xiantao Ezhou being at high while Shiyan, Xiangyang, Shennongjia, Yichang, Wuhan Huanggang lower Originality/value innovative combining CRITIC-GRA-TOPSIS reduces presence subjective bias found many other frameworks. Regional data extraction enhance result reliability, supporting long-term planning. Overall, methodological developed provides advanced, highly efficient visualization deepens understanding mechanisms more broadly supports development resilient cities.
Language: Английский
Citations
0
Annals of GIS, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14
Published: March 7, 2025
Language: Английский
Citations
0
Water, Journal Year: 2025, Volume and Issue: 17(6), P. 783 - 783
Published: March 8, 2025
In recent years, the increasing frequency of extreme rainfall has exacerbated urban waterlogging, which seriously constrained sustainable development cities. Given problem that impact social information on waterlogging risk is easy to ignore in assessment process, it great significance carry out a comprehensive and identify for prevention control. Based hazard–vulnerability framework, this study comprehensively considers flood disaster hazard socio-economic vulnerability multi-scenario central area Zhoukou. The results show that, assessment, proportions are expressed as medium > low higher high risk. For single shown difference ranges low, medium, higher, (−61.00%, −54.00%), (49.00%, 56.00%), (1.30%, 2.70%), (1.80%, 4.00%), respectively. It can be seen compared with introduction factor, highly increases correspondingly, while decreases relatively, more line actual situation.
Language: Английский
Citations
0