KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/24587Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | S. Mohanty | en_US |
| dc.contributor.author | M. K. Jha; S. K. Jena; A. Kumar; P. Panigrahi; B. K. James; S. K. Ambast | en_US |
| dc.date.accessioned | 2019-11-08T09:17:58Z | - |
| dc.date.available | 2019-11-08T09:17:58Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | 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 | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/24587 | - |
| dc.description | Research Bulletin No. 77 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | ICAR-Indian Institute of Water Management, Bhubaneswar, Odisha | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | Groundwater monitoring, concept of Artificial Neural Network Modeling, Forecasting of Groundwater Levels | en_US |
| dc.title | Groundwater Level Forecasting in a Deltaic Aquifer of Eastern India using Artificial Neural Network Approach | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Technical Bulletin | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | Not Available | en_US |
| dc.publication.volumeno | Not Available | en_US |
| dc.publication.pagenumber | Not Available | en_US |
| dc.publication.divisionUnit | Not Available | en_US |
| dc.publication.sourceUrl | Not Available | en_US |
| dc.publication.authorAffiliation | ICAR-Indian Institute of Water Management, Bhubaneswar (Odisha) | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| Appears in Collections: | NRM-IIWM-Publication | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Research Bulletin No.77.pdf | 51.77 MB | Adobe PDF | View/Open |
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