Groundwater level forecasting using hybrid soft computing techniques

Krishnamurthy Nayak; B. S. Supreetha

doi:10.1016/B978-0-12-821962-1.00001-5

Groundwater level forecasting using hybrid soft computing techniques

Krishnamurthy Nayak
, B. S. Supreetha

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Groundwater is one of the most important sources of domestic, commercial, and agricultural supply. According to the National Groundwater Management Improvement Program (NGMIP), seven states namely Gujarat, Maharashtra, Haryana, Karnataka, Rajasthan, Uttar Pradesh, and Madhya Pradesh have some of India’s most highly developed, but most heavily exploited groundwater areas. NGMIP program reported that 25% of groundwater (GW) blocks are critical, indicating the worsening situation. In countries such as India, 85%.

Original language	English
Title of host publication	Handbook of HydroInformatics
Subtitle of host publication	Volume III: Water Data Management Best Practices
Publisher	Elsevier
Pages	185-206
Number of pages	22
ISBN (Electronic)	9780128219621
ISBN (Print)	9780128219522
DOIs	https://doi.org/10.1016/B978-0-12-821962-1.00001-5
Publication status	Published - 01-01-2022

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1016/B978-0-12-821962-1.00001-5

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Groundwater level forecasting using hybrid soft computing techniques

Abstract

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