Smart Water Resource Management Using Artificial Intelligence—A Review

Siva Rama Krishnan (), M. K. Nallakaruppan, Rajeswari Chengoden, Srinivas Koppu, M. Iyapparaja, Jayakumar Sadhasivam and Sankaran Sethuraman
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Siva Rama Krishnan: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India
M. K. Nallakaruppan: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India
Rajeswari Chengoden: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India
Srinivas Koppu: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India
M. Iyapparaja: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India
Jayakumar Sadhasivam: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India
Sankaran Sethuraman: Council of Scientific and Industrial Research, CSIR-National Geophysical Research Institute, Hyderabad 500007, India

Sustainability, 2022, vol. 14, issue 20, 1-28

Abstract: Water management is one of the crucial topics discussed in most of the international forums. Water harvesting and recycling are the major requirements to meet the global upcoming demand of the water crisis, which is prevalent. To achieve this, we need more emphasis on water management techniques that are applied across various categories of the applications. Keeping in mind the population density index, there is a dire need to implement intelligent water management mechanisms for effective distribution, conservation and to maintain the water quality standards for various purposes. The prescribed work discusses about few major areas of applications that are required for efficient water management. Those are recent trends in wastewater recycle, water distribution, rainwater harvesting and irrigation management using various Artificial Intelligence (AI) models. The data acquired for these applications are purely unique and also differs by type. Hence, there is a dire need to use a model or algorithm that can be applied to provide solutions across all these applications. Artificial Intelligence (AI) and Deep Learning (DL) techniques along with the Internet of things (IoT) framework can facilitate in designing a smart water management system for sustainable water usage from natural resources. This work surveys various water management techniques and the use of AI/DL along with the IoT network and case studies, sample statistical analysis to develop an efficient water management framework.

Keywords: internet of things (IoT); deep learning (DL); artificial intelligence (AI); water distribution; water quality; waste water management; water conservation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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