Flood Susceptibility Mapping and Risk Area Using GIS-Based Analytic Network Process (Case Study: Ghasemlou Hydrometric Station Basin)

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KHEDMATZADEH ALI; Najafzadeh Aylar

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Journal: JOURNAL OF SCIENCE AND ENGINEERING ELITES Year:2020 | Volume:5 | Issue:1 Page(s): 6-12

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Title

Flood Susceptibility Mapping and Risk Area Using GIS-Based Analytic Network Process (Case Study: Ghasemlou Hydrometric Station Basin)

Author(s)

KHEDMATZADEH ALI | Najafzadeh Aylar | Issue Writer Certificate

Keywords

zoningQ3

floodQ1

Ghasemlou sub basinQ1

Urmia lakeQ1

ANQ1

Abstract

ANk">flood is one of the most complex ANd destructive natural phenomena that causes mANy damages each year. The ANk">zoning of ANk">flood potential as classified maps is one of the most importANt tasks in reducing ANk">flood risks ANd preventing it. The area under study is Ghasemlou watershed located in the watershed of Lake Urmia in West AzarbaijAN province. The variables studied are eight parameters that include: slope, vegetation density, elevation, precipitation, direction of gradient, distANce from the harbor, geology lANd use. The information layers are provided in the ARC GIS ANd ENVI software ANd ANP model has been used to weigh the variables in relation to the risk of ANk">flood events. The results show that in relation to the risk of ANk">flood, the factor of precipitation was 0. 49665%, the distANce from the river with 0. 20516 ANd vegetation factor with 0. 17956%, due to the large amount of control on the amount ANd how to discharge the runoff from the surface The basins are of the highest importANce ANd impactANd slop factor ANd lANd use have the lowest impact level of 0. 00727 ANd 0. 00856%, respectively. The studied basin is divided into 5 classes, very high, medium, low ANd very low, with very high ANd very high ANk">flood potential, respectively, 0. 51, 22. 31%, ANd very low ANd low ANk">flood talents of the region were 21. 72%, 0. 73% of the sub-basin area respectively.

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APA: Copy

KHEDMATZADEH, ALI, & Najafzadeh, Aylar. (2020). Flood Susceptibility Mapping and Risk Area Using GIS-Based Analytic Network Process (Case Study: Ghasemlou Hydrometric Station Basin). JOURNAL OF SCIENCE AND ENGINEERING ELITES, 5(1 ), 6-12. SID. https://sid.ir/paper/363369/en

Vancouver: Copy

KHEDMATZADEH ALI, Najafzadeh Aylar. Flood Susceptibility Mapping and Risk Area Using GIS-Based Analytic Network Process (Case Study: Ghasemlou Hydrometric Station Basin). JOURNAL OF SCIENCE AND ENGINEERING ELITES[Internet]. 2020;5(1 ):6-12. Available from: https://sid.ir/paper/363369/en

IEEE: Copy

ALI KHEDMATZADEH, and Aylar Najafzadeh, “Flood Susceptibility Mapping and Risk Area Using GIS-Based Analytic Network Process (Case Study: Ghasemlou Hydrometric Station Basin),” JOURNAL OF SCIENCE AND ENGINEERING ELITES, vol. 5, no. 1 , pp. 6–12, 2020, [Online]. Available: https://sid.ir/paper/363369/en

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