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http://hdl.handle.net/123456789/29136
Title: | An Integrated Remote Sensing And Field Based Approach To Flash Flood Susceptibility Evaluation Using Geomorphological Methods, A Case Study From River Swat, North Pakistan |
Authors: | KAMRAN KHAN |
Keywords: | Earth Sciences |
Issue Date: | 2023 |
Publisher: | Quaid I Azam University Islamabad |
Abstract: | The current research worked focused on the integration of fieldwork investigation with remote sensing data for the susceptibility of river swat to assess the flash flood susceptibility mainly in the sections where field observation was noted at base of Kalam, Behrain and Madyan cities along these Khuwazkhela and Mingora. In this regard, comprehensive field work was conducted, and data is collected including GPS location, Geomorphology Mapping with the aid of DEM, and formations etc to show the main impacts of the event and identify the man-made causes. These data are then integrated with Remote sensing data digital elevation model is utilized that comprise of different maps i.e., Elevation, Slope, Aspect, Drainage density, Soil, Lithology, and Land cover. For effective evaluation of the susceptibility in swat area DEM and ASTAR data reveals that the river swat is flowing in great risk of flooding. It should be recognized as extensive and usual natural events forms part of prolonged landscape evolution. Field observation investigated most of the critical factors along the river for unexpected disastrous event and it is observed that the areas of Kalam, Bahrain, and Madyan in map view possesses higher elevated regions where destruction are caused at higher intensity and further risk are high causes of most material flash flow in future. Additionally, the latest equation for moving boulder and its impact can be seen clearly from the mathematical modeling developed that significantly increase outcomes of flash flood susceptibility evaluation. Thus, by recognizing these floods areas can put up correct assumptions and mitigation measures. |
URI: | http://hdl.handle.net/123456789/29136 |
Appears in Collections: | M.Phil |
Files in This Item:
File | Description | Size | Format | |
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EAR 2052.pdf | EAR 2052 | 6.01 MB | Adobe PDF | View/Open |
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