Morphometry based Sub-watershed Prioritization Using MCDMs in Non-Fuzzy and Fuzzy Dividends

Prioritization of sub-drainage systems is quintessential in regard to preparing a layout prior to the implementation of any soil and water conservation program. Most of the sub-watershed prioritization approaches find their linkages with the morphometric indices, nevertheless, a frugal and nimble approach for this prioritization exercise using the morphometry is still impending. The conferred study is an attempt towards filling this gap via the use of a statistical cum Mutli-Criteria Decision Making approach for the upper reaches of the Saryu watershed in the Bageshwar district of Uttarakhand Western Himalaya. The study area is a sixth-order drainage system with a geographical extent of 779.05 sq. km and is subdivided into 14 sub-watersheds using SWAT 2012. For the developed watersheds, 14 morphometric parameters, which primarily affect runoff and sediment response are computed and are dispensed as CRITIC inputs towards setting up relative priorities within them. The results from CRITIC were then used to assign ratings for AHP and FAHP, with the latter technique being solved via two methods, namely, geometric mean and extent analysis. A comparison of results suggested that AHP and the geometric mean method for FAHP engendered identical prioritization, while, the extent analysis nullified the effect of seven of the relatively low-rated morphometric parameters, thus producing different results. The study also advocated the use of the deliberated method in the context of managing a larger number of input morphometric parameters, along with their selection for auxiliary prioritization.

Authors

Institutions

Publication Details

Journal
Journal of soil salinity and water quality.
Published
2024-12-31
DOI
https://doi.org/10.56093/jsswq.v16i3.158071
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Morphometry based Sub-watershed Prioritization Using MCDMs in Non-Fuzzy and Fuzzy Dividends

Himanshu Joshi, Jitendra Kumar, Priyanka Mehta, Mohan Lal et al.
Journal of soil salinity and water quality.
Groundwater and Watershed Analysis
article

Morphometry based Sub-watershed Prioritization Using MCDMs in Non-Fuzzy and Fuzzy Dividends

Himanshu Joshi, Jitendra Kumar, Priyanka Mehta, Mohan Lal, Dheeraj Kumar
article en

Abstract

Prioritization of sub-drainage systems is quintessential in regard to preparing a layout prior to the implementation of any soil and water conservation program. Most of the sub-watershed prioritization approaches find their linkages with the morphometric indices, nevertheless, a frugal and nimble approach for this prioritization exercise using the morphometry is still impending. The conferred study is an attempt towards filling this gap via the use of a statistical cum Mutli-Criteria Decision Making approach for the upper reaches of the Saryu watershed in the Bageshwar district of Uttarakhand Western Himalaya. The study area is a sixth-order drainage system with a geographical extent of 779.05 sq. km and is subdivided into 14 sub-watersheds using SWAT 2012. For the developed watersheds, 14 morphometric parameters, which primarily affect runoff and sediment response are computed and are dispensed as CRITIC inputs towards setting up relative priorities within them. The results from CRITIC were then used to assign ratings for AHP and FAHP, with the latter technique being solved via two methods, namely, geometric mean and extent analysis. A comparison of results suggested that AHP and the geometric mean method for FAHP engendered identical prioritization, while, the extent analysis nullified the effect of seven of the relatively low-rated morphometric parameters, thus producing different results. The study also advocated the use of the deliberated method in the context of managing a larger number of input morphometric parameters, along with their selection for auxiliary prioritization.

Journal of soil salinity and water quality.Vol. 16(3)
Central Soil Salinity Research Institute (IN), Indian Council of Agricultural Research (IN), Govind Ballabh Pant University of Agriculture and Technology (IN)
Life in Land
Openalex Percentile: Top 78%
Groundwater and Watershed Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.