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

Abhisek Gour^1, , 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

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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References:

[1]	Rajasthan Rivers by District - RajRAS. [online] RajRAS. Available at: <https://www.rajras.in/rajasthan-rivers-district/> [Accessed 8 June 2022].
[2]	Luni River - Wikipedia. [online] Available at: <https://en.wikipedia.org/wiki/Luni_River> [Accessed 8 June 2022].
[3]	Meybeck, M. and Helmer, R., 1996. An Introduction to Water Quality. In: D. Chapman, ed., Water Quality Assessments - A Guide to Use of Biota, Sediments and Water in Environmental Monitoring, 2nd ed.
[4]	Ali, M., Ali, M., Islam, M. and Rahman, M., 2016. Preliminary assessment of heavy metals in water and sediment of Karnaphuli River, Bangladesh. Environmental Nanotechnology, Monitoring & Management, 5, pp.27-35.
[5]	Moparthi, N. R., Mukesh, C., & Sagar, P. V. (2018, February). Water quality monitoring system using IoT. In 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB) (pp. 1-5). IEEE.
[6]	Vijayakumar, N., & Ramya, A. R. (2015, March). The real time monitoring of water quality in IoT environment. In 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) (pp. 1-5). IEEE.
[7]	Madhavireddy, V., & Koteswarrao, B. (2018). Smart water quality monitoring system using IoT technology. Int. J. Eng. Technol, 7(4.36), 636.
[8]	Mukta, M., Islam, S., Barman, S. D., Reza, A. W., & Khan, M. S. H. (2019, February). IoT based smart water quality monitoring system. In 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) (pp. 669-673). IEEE.
[9]	Konde, S., & Deosarkar, D. (2020, June). IOT based water quality monitoring system. In 2nd International Conference on Communication & Information Processing (ICCIP).
[10]	Meena, A. and Meghwal, B., 2019. Jojari River Water: Pollution And Its Impact On The Human Health. International Journal of Research in Engineering, IT and Social Sciences, 09(05), pp.352-357.
[11]	Sargaonkar, A. and Deshpande, V., 2003. Development of an Overall Index of Pollution for Surface Water Based on a General Classification Scheme in Indian Context. Environmental Monitoring and Assessment, 89(1), pp.43-67.
[12]	Maleki, P., Rahman, P., Jafariyan, H., Salmanmahiny, A., Ghorbani, R., Gholizadeh, M. and Harsij, M., 2020. The risk assessment of water pollution in the Gorgan Bay catchment using the WRASTIC index. Environmental Nanotechnology, Monitoring & Management, 14, p.100393.
[13]	Singh, K., Goswami, A., Kalamdhad, A. and Kumar, B., 2020. Surface water quality and health risk assessment of Kameng river (Assam, India). Water Practice and Technology, 15(4), pp.1190-1201.
[14]	Abbasi, T. and Abbasi, S., 2011. Water quality indices based on bioassessment: The biotic indices. Journal of Water and Health, 9(2), pp.330-348.
[15]	Google Maps, 2022. Jojari River [online] Available at: <https://www.google.com/maps/@26.1623627, 73.0168385,22032m/data=!3m1!1e3!5m1!1e4> [Accessed 15 April 2022].
[16]	Genda Singh, P.R. Nagora, Parul Haksar et al. Water Quality, Soil Characteristics and Vegetation Diversity Along Effluent-dominated Rivers in Western Rajasthan, India, 03 June 2021, PREPRINT (Version 1) available at Research Square.
[17]	Pathak, A.K., Kantharajan, G., Saini, V.P. et al. Fish community and habitat diversity profiling of Luni, an ephemeral saline river from Thar Desert of India for conservation and management. COMMUNITY ECOLOGY. 21, 303-316 (2020).
[18]	Singh, N., Sharma, B.K. & Bohra, P.C. Impact assessment of industrial effluent of arid soils by using satellite imageries. J Indian Soc Remote Sens. 28, 79 (2000).