Atta-ur Rahman

Prof. Dr. Atta-ur Rahman

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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 April 2016 in Climate Dynamics
Verified
Journal Article
Closed access
PDF file
ARAtta-ur Rahman
Atta-ur Rahman
MDMuhammad Dawood
Muhammad Dawood

23 December 2012 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
ARAtta-ur Rahman
Atta-ur Rahman
AKAmir Nawaz Khan
Amir Nawaz Khan

6 May 2011 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
ARAtta-ur Rahman
Atta-ur Rahman
AKAmir Nawaz Khan
Amir Nawaz Khan

23 September 2010 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
ARAtta-ur Rahman
Atta-ur Rahman
AKAmir Nawaz Khan
Amir Nawaz Khan
ACAndrew E. Collins
Andrew E. Collins
FQFareen Qazi
Fareen Qazi

7 November 2013 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
ARAtta-ur Rahman
Atta-ur Rahman
AKAmir Nawaz Khan
Amir Nawaz Khan
ACAndrew E. Collins
Andrew E. Collins

19 November 2020 in Water
Verified
Journal Article
Open access
PDF file
ZSZhenfeng Shao
Zhenfeng Shao
ZJZahid Jahangir
Zahid Jahangir
QYQazi Muhammad Yasir
Qazi Muhammad Yasir
ARAtta-ur Rahman
Atta-ur Rahman
SMShakeel Mahmood
Shakeel Mahmood
Optimal site selection of a dam is one of the crucial tasks in water resource management. In this study, a dam suitability stream model (DSSM) is utilized to identify potential sites for constructing multi-purpose dams. In DSSM, each input parameter is weighted using the analytic hierarchy process (AHP), and then weighted overlay analysis is performed in a Geographical Information System (GIS) environment. Compared to the previous studies, this study showed different results based on the crucial parameter that is “stream order”. Two resultant site suitability maps are prepared to differentiate the importance of stream order. Each of the resulting maps visualizes four classes of suitability from highly suitable to least suitable. The proposed sites will store water for a variety of uses at the local and regional level and reduce flood risk, which can be very useful for hydrologists and disaster risk managers.