GIS-based determination of potential snow avalanche areas: A case study of Rize Province of Türkiye DOI Open Access
H. Ebru Çolak, Gamze Bediroğlu, Tuğba Memişoğlu Baykal

et al.

International Journal of Engineering and Geosciences, Journal Year: 2024, Volume and Issue: 9(2), P. 199 - 210

Published: July 28, 2024

Natural hazards are a part of critical issues affecting people and the environment. One these natural is snow avalanches. With increase in world population, it has emerged that decision-makers should take precautions against such for population movements, construction, transportation, tourism. Essential solution parts this problem lay behind surveying, GIS, spatial analysis-planning. This situation will be primarily due to conditions, but certain terrain areas susceptible. Snow avalanches' release mechanism depends on many factors, as terrain, meteorological reports, snowpack, other triggering parameters. Areas with topographical features allow deposition masses called avalanche-release areas. GIS helps make decisions concerning planning within avalanche finding risky zones. study aimed determine potential environment Rize, Türkiye, which was chosen pilot region. In study, detection estimated using mathematical equation model proposed by Hreško (1998) determined help GIS. Factors elevation, curvature, aspect, slope, land cover type were used estimate risk A Model Builder workflow also been created automate process stages. As result mapped Rize mountainous

Language: Английский

Assessment of Shear Stress Distribution in Meandering Compound Channels with Differential Roughness Through Various Artificial Intelligence Approach DOI
Abinash Mohanta, Arpan Pradhan, Monalisa Mallick

et al.

Water Resources Management, Journal Year: 2021, Volume and Issue: 35(13), P. 4535 - 4559

Published: Sept. 16, 2021

Language: Английский

Citations

13

Towards Linking the Sustainable Development Goals and a Novel-Proposed Snow Avalanche Susceptibility Mapping DOI
Hüseyın Akay

Water Resources Management, Journal Year: 2022, Volume and Issue: 36(15), P. 6205 - 6222

Published: Oct. 14, 2022

Language: Английский

Citations

10

Flood potential mapping by integrating the bivariate statistics, multi-criteria decision-making, and machine learning techniques DOI

Ehsan Shahiri Tabarestani,

Sanaz Hadian,

Quoc Bao Pham

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2022, Volume and Issue: 37(4), P. 1415 - 1430

Published: Dec. 3, 2022

Language: Английский

Citations

10

Assessment of change in the extent of mangrove ecosystems using different spectral indices in Google Earth Engine based on random forest model DOI
Meena Kumari Kolli, Quoc Bao Pham,

Nguyễn Thị Thùy Linh

et al.

Arabian Journal of Geosciences, Journal Year: 2022, Volume and Issue: 15(9)

Published: April 29, 2022

Language: Английский

Citations

8

GIS-based determination of potential snow avalanche areas: A case study of Rize Province of Türkiye DOI Open Access
H. Ebru Çolak, Gamze Bediroğlu, Tuğba Memişoğlu Baykal

et al.

International Journal of Engineering and Geosciences, Journal Year: 2024, Volume and Issue: 9(2), P. 199 - 210

Published: July 28, 2024

Natural hazards are a part of critical issues affecting people and the environment. One these natural is snow avalanches. With increase in world population, it has emerged that decision-makers should take precautions against such for population movements, construction, transportation, tourism. Essential solution parts this problem lay behind surveying, GIS, spatial analysis-planning. This situation will be primarily due to conditions, but certain terrain areas susceptible. Snow avalanches' release mechanism depends on many factors, as terrain, meteorological reports, snowpack, other triggering parameters. Areas with topographical features allow deposition masses called avalanche-release areas. GIS helps make decisions concerning planning within avalanche finding risky zones. study aimed determine potential environment Rize, Türkiye, which was chosen pilot region. In study, detection estimated using mathematical equation model proposed by Hreško (1998) determined help GIS. Factors elevation, curvature, aspect, slope, land cover type were used estimate risk A Model Builder workflow also been created automate process stages. As result mapped Rize mountainous

Language: Английский

Citations

1