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Journal ArticleDOI

Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques

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TLDR
In this paper, a standard methodology is proposed to delineate groundwater potential zones using integrated remote sensing (RS), GIS and multi-criteria decision making (MCDM) techniques.
Abstract
Remote sensing (RS) and geographic information system (GIS) are promising tools for efficient planning and management of vital groundwater resources, especially in data-scarce developing nations. In this study, a standard methodology is proposed to delineate groundwater potential zones using integrated RS, GIS and multi-criteria decision making (MCDM) techniques. The developed methodology is demonstrated by a case study in Udaipur district of Rajasthan, western India. Initially, ten thematic layers, viz., topographic elevation, land slope, geomorphology, geology, soil, pre- and post-monsoon groundwater depths, annual net recharge, annual rainfall, and proximity to surface water bodies were considered in this study. These thematic layers were scrutinized by principal component analysis technique to select influential layers for groundwater prospecting. Selected seven thematic layers and their features were assigned suitable weights on the Saaty’s scale according to their relative importance in groundwater occurrence. The assigned weights of the thematic layers and their features were then normalized by using AHP (analytic hierarchy process) MCDM technique and eigenvector method. Finally, the selected thematic maps were integrated by weighted linear combination method in a GIS environment to generate a groundwater potential map. Thus, four groundwater potential zones were identified and demarcated in the study area, viz., ‘good’, ‘moderate’, ‘poor’ and ‘very poor’ based on groundwater potential index values. The area falling in the ‘good’ zone is about 2,113 km2 (17% of the total study area), which encompasses major portions of Sarada, Salumber, Girwa, Dhariawad, and Mavli blocks of the study area. The northeast and southwest portions along with some scattered patches fall in the ‘moderate’ zone, which encompasses an area of 3,710 km2 (about 29%). The ‘poor’ zone is dominant in the study area which covers an area of 4,599 km2 (36% of the total area). The western portion and parts of eastern and southeast portions of the study area are characterized as having ‘very poor’ groundwater potential, and this zone covers an area of 2,273 km2 (18%). Moreover, in the ‘good’ zone, the mean annually exploitable groundwater reserve is estimated at 0.026 million cubic metres per km2 (MCM/km2), whereas it is 0.024 MCM/km2 in the ‘moderate’ zone, 0.018 MCM/km2 in the ‘poor’ zone, and 0.013 MCM/km2 in the ‘very poor’ zone. The groundwater potential map was finally verified using the well yield data of 39 pumping wells, and the result was found satisfactory.

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Citations
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Journal ArticleDOI

Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

TL;DR: In this article, a standard methodology has been applied to delineate groundwater resource potential zonation based on integrated analytical hierarchy process (AHP), geographic information system (GIS), and remote sensing (RS) techniques in Kurdistan plain, Iran.
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Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

TL;DR: In this paper, the application of random forest (RF) and maximum entropy (ME) models for groundwater potential mapping is investigated at Mehran Region, Iran and the results of the GPMs were quantitatively validated using observed groundwater dataset and the receiver operating characteristic (ROC) method.
Journal ArticleDOI

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

TL;DR: This study investigates the analytical hierarchy process (AHP), frequency ratio (FR), and certainty factor (CF) models for groundwater potential mapping using geographical information system (GIS) at Varamin Plain, Tehran province, Iran and finds that the FR model performs better than AHP and CF models.
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A review of multi-criteria decision-making methods for infrastructure management

TL;DR: A comprehensive review on the application of multi-criteria decision-making (MCDM) literature in the field of infrastructure management is presented in this paper, which identifies trends and new developments in MCDM methods.
Journal ArticleDOI

Mapping groundwater recharge potential zone using a GIS approach in Hualian River, Taiwan

TL;DR: In this article, a GIS approach was used to integrate five contributing factors: lithology, land cover/land use, lineaments, drainage, and slope, and the results indicated that the most effective groundwater recharge potential zone is located in the Huatung Valley.
References
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Book

GIS and Multicriteria Decision Analysis

TL;DR: This book discusses Geographical Data, Information, and Decision Making, and Multicriteria Decision Analysis, as well as Spatial Decision Support Systems, which addresses the role of spatial data and information in decision making.
Journal ArticleDOI

Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms

TL;DR: The second purpose is to describe new MCDA paradigms aimed at addressing the inherent complexity of managing forest ecosystems, particularly with respect to multiple criteria, multi-stakeholders, and lack of information.
Journal ArticleDOI

Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites

TL;DR: In this article, an integrated approach of remote sensing and GIS has been proposed to select suitable sites for groundwater recharge in a hard rock area through recharge basins or reservoirs, using an integrated framework of Remote Sensing and Geographic Information System (RIS).
Journal ArticleDOI

A multiple criteria decision-making approach to GIS-based land suitability evaluation

TL;DR: A case-study of habitat evaluation for the endangered Mount Graham red squirrel is presented and the multiple-criteria models resulting from the CP analysis of an expert's perception of the habitat preference structure of the red squirrel are compared with data of actual habitat use.
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