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The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India
Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India.
Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India.
Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India.
School of Business, Technology and Education, Ilia State University, Tbilisi, Georgia.
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2019 (English)In: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 11, no 6, p. 1-19, article id 1138Article in journal (Refereed) Published
Abstract [en]

Among several components of watershed prioritization, morphometric parameters are considered to be essential elements for appropriate water resource planning and anagement. In the current study, nine hilly sub-watersheds are prioritized using novel hybrid model ased on morphometric variables analysis at Bino Watershed (BW) located in the upper Ramganga basin, India. The proposed model is based on the hybridization of principal component analysis (PCA) with weighted-sum approach (WSA), presenting a single-frame methodology (PCWSA) for sub-watershed prioritization. The prioritization process was conducted based on several morphometric parameters including linear, areal, and shape. The PCA was performed to identify the significant correlated factor-loading matrix whereas WSA was established to provide the weights for the morphometric parameters and fix their priority ranking (PR) to be categorized based on compound factor value. The findings showed that 37.81% of total area is under highly susceptible zone sub-watersheds (SW-6 and SW-7). This is verifying the necessity for appropriate soil and water conservation measures for the area. The proposed hybrid methodology demonstrated a reliable approach for water resource planning and management, agriculture, and irrigation activities in the study region.

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 11, no 6, p. 1-19, article id 1138
Keywords [en]
prioritization, morphometric variables, PCWSA, Bino watershed, Uttarakhand
National Category
Engineering and Technology Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-74103DOI: 10.3390/w11061138ISI: 000475346300026Scopus ID: 2-s2.0-85068822742OAI: oai:DiVA.org:ltu-74103DiVA, id: diva2:1319311
Note

Validerad;2019;Nivå 2;2019-06-10 (oliekm)

Available from: 2019-05-31 Created: 2019-05-31 Last updated: 2019-08-16Bibliographically approved

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