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

Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms DOI Creative Commons
Abu Reza Md. Towfiqul Islam,

Md. Uzzal Mia,

Nílson Augusto Villa Nova

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 13, 2025

Language: Английский

Citations

1
Pixel-Wise Feature Fusion in Gully Susceptibility: A Comparison of Feed-Forward Neural Networks and Ensemble (Voting, Stacking) Models DOI Creative Commons
Vincent E. Nwazelibe, Johnson C. Agbasi, Daniel A. Ayejoto

et al.

Journal of African Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105633 - 105633

Published: March 1, 2025

Language: Английский

Citations

0
Comprehensive Evaluation of Satellite-Based Rainfall Measurements Through Rain Gauge Validation Using Advanced Statistical Regression and Machine Learning Models by Using Python DOI

K. Sumith

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

Published: March 22, 2025

Language: Английский

Citations

0
Influence of Geomorphological Parameters on Flash Flood Susceptibility Analyzed using a Coupled Approach of HEC-HMS Model and Logistic Regression DOI

Zhenyue Han,

Fawen Li, Chengshuai Liu

et al.

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

Published: March 27, 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