Applied Ecology and Environmental Sciences
ISSN (Print): 2328-3912 ISSN (Online): 2328-3920 Website: http://www.sciepub.com/journal/aees Editor-in-chief: Alejandro González Medina
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Applied Ecology and Environmental Sciences. 2022, 10(7), 444-452
DOI: 10.12691/aees-10-7-3
Open AccessArticle

An Integrated IoT-GIS Framework for Water Quality Monitoring in Arid Regions of Western Rajasthan

Abhisek Gour1, , Naveen Kumar Suniya2, Umesh Kumar3, Kapil Parihar4, Khamma Kanwar5 and Santosh Kumari Meena5

1Department of Computer Science & Engineering, MBM University, Jodhpur, India

2Department of Production & Industrial Engineering, MBM University, Jodhpur, India

3Department of Civil Engineering, MBM University, Jodhpur, India

4Department of Electronics & Communication Engineering, MBM University, Jodhpur, India

5Department of Electrical Engineering, MBM University, Jodhpur, India

Pub. Date: July 13, 2022

Cite this paper:
Abhisek Gour, Naveen Kumar Suniya, Umesh Kumar, Kapil Parihar, Khamma Kanwar and Santosh Kumari Meena. An Integrated IoT-GIS Framework for Water Quality Monitoring in Arid Regions of Western Rajasthan. Applied Ecology and Environmental Sciences. 2022; 10(7):444-452. doi: 10.12691/aees-10-7-3

Abstract

Water acts as a critical resource in sustaining the life of human beings and all other life forms on this earth. Despite the increased awareness and better management techniques in recent times, water scarcity has been a significant concern for most governments worldwide. Especially in arid regions, such as the western areas of Rajasthan, which are heavily dependent upon a few rivers, their tributaries and underground water sources. It becomes crucial to optimize water consumption and maintain water quality in such water bodies. In this work, an Internet of Things (IoT) based framework has been developed to monitor the water quality parameters of the Jojari River, a tributary of the Luni River. Data collected from the IoT endpoints is passed to a GIS-based system designed to support continuous data monitoring and alerts for abnormal changes in the monitored parameters. Analysis of the collected data for some time denotes that the current state of water quality in the Jojari River is not appropriate for drinking or the surrounding ecosystem. Over time, the system can enable forecasting of water quality parameters and locate significant sources of pollution.

Keywords:
water quality monitoring internet of things sensors geographical information systems

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