An integrated approach for prioritization of reservoir catchment using remote sensing and geographic information system techniques

Vemu, Sreenivasulu; Udayabhaskar, P.

doi:10.1080/10106040903015798

Cited by 21 publications

(2 citation statements)

References 17 publications

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“…Geospatial modelling coupled with the MCDM method using appropriate hydrological inputs and ground data is an effective tool for the study of various ILR projects ( Chigbu & Onukaogu, 2013 ; Chowdary et al, 2012 ; Sheffield et al, 2018 ; Vemu & Udayabhaskar, 2010 ). The MCDM method is useful to arrive at the optimal decision in various applications such as environment, water resources management, and engineering services since it uses several criteria to manage complex problems (Gebre et al, 2021 ; Kulimushi et al, 2021 ; Mardani et al, 2015 ; Muluneh et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

Application of Geospatial Techniques and the MCDM Method to Optimize Interlinking of Rivers in India

Ahmed

Srikanth

2023

J Indian Soc Remote Sens

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Access to freshwater is one of the most critical challenges in drought-prone regions of India due to climate change and population growth. However, societal costs due to people displacement are often ignored while evaluating interlinking of rivers (ILR) projects though people displacement is one of the most significant impacts of ILR projects in densely populated countries. Therefore, the authors expand the scope of Integrated Water Resources Management (IWRM) by incorporating land use and land cover as key criteria in the Multi-Criteria Decision-Making (MCDM) method. The project alternatives for the proposed Almatti-Pennar (A-P) ILR project developed in this study were evaluated by applying geospatial techniques and the MCDM method before consulting expert stakeholders to finalize the optimal configuration of this project. The optimal A-P ILR configuration will utilize the existing reservoirs and canal systems and reduce the length of the proposed 587 km long link canal by 200 km. This will expedite the ILR project by reducing project-related deforestation, people displacement, and cost. This integrated approach using geospatial techniques and the MCDM method can be applied to ILR projects to achieve Sustainable Development Goal (SDG) 2 (zero hunger) and SDG target 6.1 (safe and affordable drinking water) by reducing water stress. Supplementary Information The online version contains supplementary material available at 10.1007/s12524-023-01672-6.

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Section: Methodsmentioning

confidence: 99%

Application of Geospatial Techniques and the MCDM Method to Optimize Interlinking of Rivers in India

Ahmed

Srikanth

2023

J Indian Soc Remote Sens

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“…In similar study, Thakkar and Dhiman (2007) evaluated morphometric parameters for watershed prioritization in Mohar watershed. Vemu and Udayabhaskar (2010) integrated soil characteristics with morphometric parameters for watershed prioritization towards mitigation of soil erosion problem. Sarma and Trivani (2012) studied the watershed prioritization for Khanapara-Bornihat area of Assam-Meghalaya using only land use and slope parameter for conservation and management of natural resources.…”

Section: Introductionmentioning

confidence: 99%

GIS based drainage morphometry and its influence on hydrology inparts ofWestern Ghats region, Maharashtra, India

Samal

Gedam

Nagarajan

2015

Geocarto International

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A c c e p t e d M a n u s c r i p t RESEARCH ARTICLEGIS based drainage morphometry and its influence on hydrology in parts of Western Ghats region, Maharashtra, IndiaVarious drainage morphometric parameters in the Upper Bhima river basin and its influence on hydrological processes (e.g runoff, peak flow, time to peak, infiltration, overland flow etc.) were discussed using Geographical Information System (GIS) and Remote Sensing (RS) techniques. Survey of India (SoI) topographical maps and ASTER Digital Elevation Model (DEM) was incorporated for thematic database generation and morphometric parameter evaluation. Total study basin was divided into 8 sub-basins so that the spatial variation of morphological parameters and its influence on hydrology could be analysed. The interrelationship between morphometric variables were computed (p <0.05) and presented in a correlation matrix. The study revealed that, mean basin slope (B s ), drainage density (D), length of overland flow (L g ) and basin relief (H) are significantly related with a large number of morphometric variables. Due to close proximity of Western Ghats, sub-basins 1, 2, 4, 5 and 6 are highly influenced by slope as result, length of overland flow decreases and water immediately follow channel path. In contrast, sub-basins 3, 7 and 8 are relatively flatter, overland flow is relatively longer and favourable for infiltration. Independent morphometric variables were identified from correlation matrix and used in a Multiple Criteria Analysis (MCA) framework for watershed prioritization. Analytical Hierarchical Process (AHP), a MCA technique, identified the highest (sub-basin 4) and lowest (sub-basin 7) priority sub-basins in the Upper Bhima basin. The outcome of the study may be useful for watershed managers and planners while implementing soil and water conservation measures in the region.

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Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS

Markose

Jayappa

2016

Environ Monit Assess

106

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Most of the mountainous regions in tropical humid climatic zone experience severe soil loss due to natural factors. In the absence of measured data, modeling techniques play a crucial role for quantitative estimation of soil loss in such regions. The objective of this research work is to estimate soil loss and prioritize the sub-watersheds of Kali River basin using Revised Universal Soil Loss Equation (RUSLE) model. Various thematic layers of RUSLE factors such as rainfall erosivity (R), soil erodibility (K), topographic factor (LS), crop management factor (C), and support practice factor (P) have been prepared by using multiple spatial and non-spatial data sets. These layers are integrated in geographic information system (GIS) environment and estimated the soil loss. The results show that ∼42 % of the study area falls under low erosion risk and only 6.97 % area suffer from very high erosion risk. Based on the rate of soil loss, 165 sub-watersheds have been prioritized into four categories-very high, high, moderate, and low erosion risk. Anthropogenic activities such as deforestation, construction of dams, and rapid urbanization are the main reasons for high rate of soil loss in the study area. The soil erosion rate and prioritization maps help in implementation of a proper watershed management plan for the river basin.

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An integrated approach for prioritization of reservoir catchment using remote sensing and geographic information system techniques

Cited by 21 publications

References 17 publications

Application of Geospatial Techniques and the MCDM Method to Optimize Interlinking of Rivers in India

Application of Geospatial Techniques and the MCDM Method to Optimize Interlinking of Rivers in India

GIS based drainage morphometry and its influence on hydrology inparts ofWestern Ghats region, Maharashtra, India

Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS

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