An Analytical Investigation to Select a Suitable Site for Reservoir to Meet the Challenges of Water Scarcity in Rural Areas of Tripura


  • Saumyadeep Bhowmik School of Civil Engineering Lovely Professional University, Punjab, India
  • Bishnu Kant Shukla School of Civil Engineering Lovely Professional University, Punjab, India
  • Murari Kumar School of Civil Engineering Lovely Professional University, Punjab, India


Water Scarcity, Reservoir Site, ANN, Fuzzy Logic, AHP.


The provision of safe drinking water supply and sanitation facilities is a basic necessity of life and a crucial
input in achieving the goal of health for all. Tripura is rich in natural resources but due to lack of storage of
runoff and also due to the increasing level of urbanization, the retention capacity of the watersheds in these areas
is receding day by day. As the pattern of climate is also changing, a drought like situation seems to be most
probable in such areas. In this regard, the technological advancements of Artificial Neural Network (ANN) were
implemented to achieve selected objectives of reservoir site identification. This study is focused to store rural
water in a reservoir like structure at a suitable site to facilitate supply to rural and urban area during dry season.
The rank of each parameter was also obtained using fuzzy logic decision making and Analytical Hierarchy
Process. Using these weights reservoir site Identification was developed by AHP and Fuzzy logic and predicted
for Gomati River. At the end, a reservoir was designed at the suitable location having pre defined storage
capacity to cater the needs of the local population


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Journal of Graphic Era University

Vol. 6, Issue 1, 71-79, 2018

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How to Cite

Bhowmik, S., Shukla, B. K., & Kumar, M. (2023). An Analytical Investigation to Select a Suitable Site for Reservoir to Meet the Challenges of Water Scarcity in Rural Areas of Tripura. Journal of Graphic Era University, 6(1), 71–79. Retrieved from