The most valuable natural resource for all of humanity, not just for a state or nation, is water. A country's ability to prosper largely rests on how wisely it uses this resource. Thus, water, which flows in rivers and streams, can be said to be a nation's primary asset. This proves rivers are important, and further justification is needed to emphasise how important they are. The global acceptance of river basins as planning and management domains stems from the fact that water transcends national boundaries. India's rivers are one of its most defining characteristics; the people of India place great religious significance on them. Since groundwater is the most abundant freshwater resource, it is essential to pinpoint the groundwater potential zones for the ongoing and sustainable growth of socioeconomic and agricultural advances. Hard, fractured rock aquifers underlie most of south India's densely inhabited areas. The meagre amount of freshwater that these aquifers provide is the only source that people may use for cultivation and drinking. Because of the diverse nature of the aquifer owing to varied composition, degree of weathering, and density of fracturing, groundwater conditions in hard rock terrain are multivariate. Therefore, a thorough understanding of the distribution and features of the aquifer under the various hydrogeologic circumstances of the research region is necessary for the long-term utilisation of groundwater resources. This study's primary goal is to evaluate the possibility for groundwater management utilising hydrological and geological investigations.
Machiwal D, Rangi N, Sharma A. Integrated knowledge-and data-driven approaches for groundwater potential zoning using GIS and multi-criteria decision making techniques on hard-rock terrain of Ahar catchment, Rajasthan, India. Environmental Earth Sciences.
2.
Chaminé HI, Carvalho JM, Teixeira J, Freitas L. Role of hydrogeological mapping in groundwater practice: back to basics. Vol. 40, European Geologist Journal. p. 34–42.
3.
Robles T, Alcarria R, Andrés DM, Cruz MN, Calero R, Iglesias S, et al. An IoT based reference architecture for smart water management processes. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications.
4.
McDonnell RA. Challenges for integrated water resources management: how do we provide the knowledge to support truly integrated thinking? Vol. 1;24(1):131-143, International Journal of Water Resources Development.
5.
Gun J. Data, information, knowledge and diagnostics on groundwater. In: InAdvances in groundwater governance 2017 Dec 14;193-213.
6.
Pierce SA, Sharp JM, Eaton DJ. Decision support systems and processes for groundwater. Vol. 2016, Integrated Groundwater Management: Concepts, Approaches and Challenges. p. 639–65.
7.
Jayapriya R. Scientometrics Analysis on Water Treatment During 2011 to 2020. Vol. 11, Indian Journal of Information Sources and Services. p. 58–63.
8.
Fitch P, Brodaric B, Stenson M, Booth N. Integrated groundwater data management. Vol. 2016, Integrated Groundwater Management: Concepts, Approaches and Challenges. p. 667–92.
9.
Refsgaard JC, Højberg AL, Møller I, Hansen M, Søndergaard V. Groundwater modeling in integrated water resources management—Visions for 2020. Vol. Sep;48(5):633-648, Groundwater.
10.
Jakeman AJ, Barreteau O, Hunt RJ, Rinaudo JD, Ross A, Arshad M, et al. Integrated groundwater management: an overview of concepts and challenges. Vol. 2016, Integrated groundwater management: Concepts, approaches and challenges. p. 3–20.
11.
Rosa C, Wayky AL, Jesús MV, Carlos MA, Alcides MO, César AF. Integrating Novel Machine Learning for Big Data Analytics and IoT Technology in Intelligent Database Management Systems. Vol. 14, Journal of Internet Services and Information Security. p. 206–18.
12.
Pietersen K. Multiple criteria decision analysis (MCDA): A tool to support sustainable management of groundwater resources in South Africa. Vol. 32, Water SA. p. 119–28.
13.
Ojha R, Ramadas M, Govindaraju RS. Current and Future Challenges in Groundwater. I: Modeling and Management of Resources. Vol. 20, Journal of Hydrologic Engineering. 2015.
14.
Bozkurt A. Investigation of Groundwater Zooplankton Fauna from Water Wells in Kilis Province from Türkiye. Vol. 1;8(2):86-105, Natural and Engineering Sciences.
15.
Zhang X. Conjunctive surface water and groundwater management under climate change. Vol. 3, Frontiers in Environmental Science.
16.
Rossetto R, Filippis G, Borsi I, Foglia L, Cannata M, Criollo R, et al. Integrating free and open source tools and distributed modelling codes in GIS environment for data-based groundwater management. Environmental Modelling & Software.
17.
Malmir M, Javadi S, Moridi A, Randhir T, Saatsaz M. Integrated groundwater management using a comprehensive conceptual framework. Vol. 605, Journal of Hydrology. 2022. p. 127363.
18.
Pande CB, Moharir KN, Singh SK, Varade AM. An integrated approach to delineate the groundwater potential zones in Devdari watershed area of Akola district.
19.
Çelik R. Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey. Vol. 11, Water. p. 2630.
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