Document Type : Original Article
Authors
1
a. Department of Geography, Faculty of Social Sciences, University of Zanjan, Zanjan, Iran.
2
b. Department of Geography, Faculty of Social Sciences, University of Zanjan, Zanjan, Iran.
3
c. Department of Geography, Faculty of Social Sciences, University of Zanjan, Zanjan, Iran.
4
d. Department of Geography, Faculty of Geographical Sciences, University of Tehran, Tehran, Iran.
Abstract
One of the impacts of climate change is the increased risk of flooding and its effects. Environmental disasters are occurring with increasing frequency and intensity around the world, with flooding being a major cause of both material and non-material damage, and its effects continuing long after the flood has occurred. One of the flood-prone areas of Iran, especially in 2018, was Mamulan City, which is located in the Karkheh riverbed that faces floods annually. Therefore, monitoring flood disasters and risk assessment has become an urgent need to increase prevention capacity and reduce flood-related damages in this city. In the present research, an evaluation and zoning of flood in this city was attempted. Nine layers, namely, topographic humidity, slope, elevation classes, distance from the river, drainage density, distance from the road, vegetation cover, precipitation and soil type were chosen as the indicators that affect the flood in the region. In this study, digital elevation model (DEM) data with a spatial resolution of 28 meters extracted from ASTER satellite and monthly precipitation data provided by ECMWF for the years 2014 to 2023- converted into annual data- were used for ANP flood classification and network analysis in Super Decisions software, the weighting of which was done based on experts' opinions. The results show that in Mamulan city the highest percentage of land belongs to the high and medium category in terms of flood risk. The rest of the classes are low and very high respectively, and the very low class has the lowest amount.
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