Geographical planning of space quarterly journal

Geographical planning of space quarterly journal

Flood risk assessment of 2019 in Aqqala City using remote sensing and multi-criteria decision analysis models

Document Type : Articles extracted from Thesis

Authors
Karim Solaimani 1
Shadman Darvishi 2
Hadi Zaghi 3
1 Department of Watershed Engineering, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
2 Department of Remote Sensing and Geographic Information System, Faculty of Environmental Sciences, Aban Haraz Institute of Higher Education, Amol, Iran
3 Department of Remote Sensing and Geographic Information System, Faculty of Environmental Sciences, Aban Haraz Institute of Higher Education, Amol
10.30488/gps.2024.388999.3628
Abstract
Flood is considered one of the most destructive natural hazards in the world, which causes a lot of damage all over the world every year. In Iran, due to special climatic conditions, the distribution of rainfall in terms of temporal and spatial conditions does not have a specific rhythm. Today, satellite images are one of the fastest and most accurate tools for flood monitoring. Therefore, in the present study, the spring flood map of 2019 Aqqala City was prepared using Landsat-8 images, and then, using the combined AHP-OWA model. The flood risk map was prepared in four classes: "high risk", "medium risk", "low frisk" and "no risk". Based on the gained results, the northern and northeastern parts of this region are detected as high flood risk, and the western and southern parts are in low and no flood risk conditions. Also, the 2019 spring flood of this region involved two parts the northern and southern. In terms of flood severity, most water accumulation was in the northern parts, but the severity of the damage was in the southern and northern parts. Due to the high density of land uses in the southern parts, the flood event in this part destroyed many agricultural, vegetation and residential lands. But in the northern parts, due to the large extent of barren lands and the low density of other land uses such as agriculture, residential and vegetation, the flood caused more damage to the barren lands. In general, based on the obtained results, the AHP-OWA model is considered one of the most effective models for flood risk studies.
Keywords
Aqqala
Landsat-8
OWA
Risk flood
2019 spring flood

Subjects

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Geographical planning of space quarterly journal
Volume 14, Issue 1
Spring 2024
Pages 77-90