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Ground-Level Water Predication Using Time Series Statistical Model

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Advances in Information Communication Technology and Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 135))

Abstract

With exponential increase in population, scarcity of water in Nation Capital of India, Delhi, has become the most critical issue over last few years. The change in climatic conditions, usage of lands and immense abstraction of water are plausible reasons for depletion of groundwater at a rapid rate. To deal with this issue, authors predict the groundwater level using time series model in various regions of Delhi. To understand the reasons of decline in groundwater level and its quality is necessary for the development and livelihood in all regions of Delhi. The results depict that decline in number of wells from 125 in year 2012 to 82 in the current year. Over the period of six years, lower rain falls and high population growth is the major reasons for depletion of groundwater level in Delhi. Along with this, the quality of ground water has been deteriorated which has also become a prime issue of concern.

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Correspondence to Mamta Mittal .

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Mittal, S.K., Mittal, M., Khan, M.S.A. (2021). Ground-Level Water Predication Using Time Series Statistical Model. In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, vol 135. Springer, Singapore. https://doi.org/10.1007/978-981-15-5421-6_43

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  • DOI: https://doi.org/10.1007/978-981-15-5421-6_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5420-9

  • Online ISBN: 978-981-15-5421-6

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