Spatial zoning and analysis of flood risk Sample villages of Qaen city)

Mododi Arkhodi, Mehdi; Boroumand, Reyhane; Akbari, Ebrahim

doi:10.22111/jneh.2020.32990.1614

Spatial zoning and analysis of flood risk Sample villages of Qaen city)

Document Type : Research Article

Authors

¹ Assisatnt professor, department of geography, bozorgmehr university of qaenat, Iran.

² Ph.d in geomorphology ,Tabriz university, Iran.

³ MS in remote sensing And Gis ,Tabriz university, Iran.

10.22111/jneh.2020.32990.1614

Abstract

Environmental hazards in structures, scales and different perspectives have different functions. It has been argued that the amount of damages and losses incurred from each occurrence or the consequence of it has a direct relation with the vulnerability of human societies. Research shows that crises alone do not determine the extent of damages, but the responses of officials and the likelihood of local and vulnerable communities that will determine the extent of damages. In addition, the flood is considered as the most destructive of human and society-causing factors, including environmental hazards, which has already resulted in more damage. The studied area is the Qaen city of South Khorasan, although it has a low rainfall with an average annual value of 80 mm, but due to the existence of perennial droughts and failure to observe aquifer and watershed issues, most of the vegetation in the region has been eliminated, and this This has led to an increase in runoff coefficient. So that despite the low rainfall, and although the flooding pattern is formed. Therefore, based on the objective of the study, due to the identification and spatial analysis of the factors affecting the occurrence and occurrence of the flood. Using the AHP hierarchical model, the gradient factor with a weight of 0.279, the focal point factor with a weight of 0.224 and a height of 0.149, respectively, have the most effect on the occurrence of flood in the study area. Also, according to a map of flood zoning in the scope of the study, the areas were divided into five categories of very low-risk, hazardous, and risky villages, and were identified as part of the research findings.

Keywords

References

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