Urban flood risk assessment using fuzzy logic and real-time flood simulation model – a geomatics techniques DOI

Kalidhas Muthu,

R. Sivakumar

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 18, 2024

Language: Английский

A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches DOI Creative Commons
Tania Islam, Ethiopia Bisrat Zeleke,

Mahmud Afroz

et al.

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
Probabilistic Assessment of Flood Susceptibility via a Coparticipative Multicriteria Decision Analysis DOI
Constantinos F. Panagiotou, Elissavet Feloni,

Kostas Aristidou

et al.

Environmental Processes, Journal Year: 2025, Volume and Issue: 12(2)

Published: April 14, 2025

Language: Английский

Citations

0
A comprehensive flood risk mapping in Gangetic interfluvial flood plain region DOI Creative Commons

M Baral,

Anwesha Chakraborty, Kasturi Mukherjee

et al.

Discover Geoscience, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 28, 2025

Language: Английский

Citations

0
Investigation of Flood Hazard Susceptibility Using Various Distance Measures in Technique for Order Preference by Similarity to Ideal Solution DOI Creative Commons
Hüseyın Akay, Müsteyde Baduna Koçyiğit

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(16), P. 7023 - 7023

Published: Aug. 10, 2024

In the present study, flood hazard susceptibility maps generated using various distance measures in Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) were analyzed. Widely applied such as Euclidean, Manhattan, Chebyshev, Jaccard, and Soergel used TOPSIS generate of Gökırmak sub-basin located Western Black Sea Region, Türkiye. A frequency ratio (FR) weight evidence (WoE) adapted hybridize nine conditioning factors considered this study. The Receiver Operating Characteristic (ROC) analysis Seed Cell Area Index (SCAI) validation testing extracting 70% 30% inventory data map testing, respectively. When Under Curve (AUC) SCAI values examined, it was found that Manhattan metric hybridized with FR method gave best prediction results AUC 0.904 0.942 training Furthermore, natural break give predictions classes. So, measure could be preferred Euclidean mapping studies.

Language: Английский

Citations

2
Assessment of urban flood susceptibility based on a novel integrated machine learning method DOI
Haidong Yang, Ting Zou, Biyu Liu

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 197(1)

Published: Dec. 5, 2024

Language: Английский

Citations

1
Urban flood risk assessment using fuzzy logic and real-time flood simulation model – a geomatics techniques DOI

Kalidhas Muthu,

R. Sivakumar

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 18, 2024

Language: Английский

Citations

0