ICAR Research Data Repository for Knowledge Management
Groundwater Level Forecasting in a Deltaic Aquifer of Eastern India using Artificial Neural Network Approach
KRISHI: Publication and Data Inventory Repository
View Archive Info| Field | Value | |
| Title |
Groundwater Level Forecasting in a Deltaic Aquifer of Eastern India using Artificial Neural Network Approach
Not Available |
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| Creator |
S. Mohanty
M. K. Jha; S. K. Jena; A. Kumar; P. Panigrahi; B. K. James; S. K. Ambast |
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| Subject |
Groundwater monitoring, concept of Artificial Neural Network Modeling, Forecasting of Groundwater Levels
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| Description |
Research Bulletin No. 77
Groundwater is an invaluable natural resource which supports human health, economic development and ecological diversity. It is renewable but finite resource, which is generally characterized by stable temperature and chemical composition. Its unique qualities that it is generally free from pathogens, easily accessible and free from suspended particles has made it the most important and preferred source of water for agricultural and domestic uses. Not Available |
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| Date |
2019-11-08T09:17:58Z
2019-11-08T09:17:58Z 2016 |
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| Type |
Technical Bulletin
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| Identifier |
Mohanty, Sheelabhadra; Jha, Madan. K.; Jena, Sushanta. K.: Kumar Ashwani; Panigrahi, Pravukalyan; James, Bijoy. K.; Ambast, Sunil K. ; 2016. Groundwater Level Forecasting in a Deltaic Aquifer of Eastern India using Artificial Neural Network Approach. Bulletin No. 77.ICAR-Indian Institute of Water Management, Bhubaneswar, Odisha, 30p
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/24587 |
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| Language |
English
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| Relation |
Not Available;
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| Publisher |
ICAR-Indian Institute of Water Management, Bhubaneswar, Odisha
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