Erosion and flood susceptibility evaluation in a catchment of Kopet-Dagh mountains using EPM and RFM in GIS

Baharvand, S; Pradhan, B

Erosion and flood susceptibility evaluation in a catchment of Kopet-Dagh mountains using EPM and RFM in GIS

Baharvand, S Pradhan, B

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Environmental Earth Sciences, 2022, 81, (20), pp. 490
Issue Date:: 2022-10-01

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Field	Value	Language
dc.contributor.author	Baharvand, S
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.date.accessioned	2023-03-20T04:22:01Z
dc.date.available	2023-03-20T04:22:01Z
dc.date.issued	2022-10-01
dc.identifier.citation	Environmental Earth Sciences, 2022, 81, (20), pp. 490
dc.identifier.issn	1866-6280
dc.identifier.issn	1866-6299
dc.identifier.uri	http://hdl.handle.net/10453/167754
dc.description.abstract	Erosion and flood events can damage soils, water, quality, and sediment transportation, causing many cumulative hazards. In developing countries, such as Iran, the empirical models, which are low-cost procedures to mitigate environmental hazards, are necessary to plan the watersheds. Hence, the main aim of this study is to evaluate erosion and flood susceptibility using empirical models of erosion potential method (EPM) and rational flood model (RFM) to prioritize the GIS-based prone zones in a catchment of the Kopet-Dagh Mountains. The results revealed that the heavy classes of erosion and flood susceptibility include 40.4–58.2% of the total study area, dominantly in the upstream catchments. The correlation test revealed a strong, significant, and direct association (R equal to 0.705) between W and Qp at the 99% confidence level. Consequently, the results of our research indicated the prioritization of the three sub-catchments based on their slight sensitivity and susceptibility to occurrences of soil erosion and flood events through future spatial developments. Ultimately, the model validity explained the AUC (area under the curve) values averagely equal to 0.898 and 0.917 for erosion and flood susceptibility evaluations (i.e., EPM and RFM), explaining the very good performance of the models and excellent sensitivities.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Environmental Earth Sciences
dc.relation.isbasedon	10.1007/s12665-022-10598-0
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0403 Geology, 0406 Physical Geography and Environmental Geoscience, 0905 Civil Engineering
dc.title	Erosion and flood susceptibility evaluation in a catchment of Kopet-Dagh mountains using EPM and RFM in GIS
dc.type	Journal Article
utslib.citation.volume	81
utslib.for	0403 Geology
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0905 Civil Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-20T04:21:59Z
pubs.issue	20
pubs.publication-status	Published
pubs.volume	81
utslib.citation.issue	20

Abstract:

Erosion and flood events can damage soils, water, quality, and sediment transportation, causing many cumulative hazards. In developing countries, such as Iran, the empirical models, which are low-cost procedures to mitigate environmental hazards, are necessary to plan the watersheds. Hence, the main aim of this study is to evaluate erosion and flood susceptibility using empirical models of erosion potential method (EPM) and rational flood model (RFM) to prioritize the GIS-based prone zones in a catchment of the Kopet-Dagh Mountains. The results revealed that the heavy classes of erosion and flood susceptibility include 40.4–58.2% of the total study area, dominantly in the upstream catchments. The correlation test revealed a strong, significant, and direct association (R equal to 0.705) between W and Qp at the 99% confidence level. Consequently, the results of our research indicated the prioritization of the three sub-catchments based on their slight sensitivity and susceptibility to occurrences of soil erosion and flood events through future spatial developments. Ultimately, the model validity explained the AUC (area under the curve) values averagely equal to 0.898 and 0.917 for erosion and flood susceptibility evaluations (i.e., EPM and RFM), explaining the very good performance of the models and excellent sensitivities.

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http://hdl.handle.net/10453/167754