Development of a location-based solution for flood risk analysis and reducing its effects in agriculture (case study: Neka Roud)

Subject Areas : Journal of Radar and Optical Remote Sensing and GIS

Rogheyeh Kamali Kefrati ¹ , Hossein Aghamohammadi ² , Saeed Behzadi ³

1 - Faculty of Environment, Research Sciences, Islamic Azad university, Tehran, Iran
2 - Assistant Professor, Department of Remote Sensing and GIS, Research Science, Tehran Branch, Islamic Azad University, Tehran, Iran
3 - Assistant Professor, Department of Surveying Engineering, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Lavizan, Tehran, Iran

Received: 2022-10-11 Accepted : 2022-12-07 Published : 2022-12-01

Keywords: tin, GIS, Flood, Use, Nekarud,

Abstract :

Floods are among the most devastating and widespread natural disasters, resulting in loss of life and significant financial damage. Therefore, flood control poses a significant challenge worldwide, including in our country. One effective approach to mitigating this risk is through the implementation of zoning strategies. Consequently, the objective of this study is to conduct a spatial analysis of flooding in the Nekarud region. For this research, a 2-kilometer stretch along the downstream section of the Nekarud River, near Neka city, was selected. Spatial data, including geographical maps and reference land information, were utilized and processed to facilitate the analysis. The study focused on simulating flood-prone areas along the main route for return periods of 10, 25, 50, 100, 200, and 500 years. The resulting flood map illustrates the spatial extent of potential flooding under different scenarios. The study employed elevation data at a scale of 1:1000, as well as river discharge data specific to the study area, to construct a base map. In a GIS environment, topographic data was extracted and used to generate a triangulated irregular network (TIN). Additionally, by utilizing a database that incorporates information on agricultural land use and flood zoning within the study area, the researchers calculated the extent of damage caused by flooding. Based on the land use map within the GIS environment, the study estimated that, during different return periods, the affected land area within the study region would measure 144.17 hectares, 175.14 hectares, 182.56 hectares, 190.14 hectares, 193.97 hectares, and 198.298 hectares, respectively

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