KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/34547| Title: | Spatial Variability of Ground Water Quality in Mathura District (Uttar Pradesh, India) with Geostatistical Method |
| Other Titles: | Not Available |
| Authors: | Kishan Singh Rawat Anil Kumar Mishra Vinay Kumar Sehgal Vinod Kumar Tripathi |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Research Institute |
| Published/ Complete Date: | 2012-03-29 |
| Project Code: | Not Available |
| Keywords: | Ground water Pollution GIS Water quality |
| Publisher: | World Academic Publishing |
| Citation: | Not Available |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Groundwater is one of the major sources of water in arid and semi-arid regions. Groundwater quality data and its spatial distribution are important for the purpose of planning and management. Geo-statistical methods are one of the most advanced techniques for interpolation of groundwater quality. In this study, kriging methods were used for predicting spatial distribution of some groundwater quality parameters such as: Ca2+, Mg2+, Na+, K+, TDS, EC, Fˉ, HCO3ˉ, NO3ˉ, Clˉ, SO4 2ˉ and PO4 2ˉ. Data were collected from 13 wells in Mathura district (Uttar Pradesh, India). After normalization of data, semivariogram was drawn. For selecting suitable model for fitness on experimental semi-variogram, residual sum of squares (RSS) value was used. Use of geo-statistics (ie, kriging) on our well sampling results provided valuable insight on the nature of the spatial and temporal variability of groundwater quality parameters. In analysis, found high values of NO3ˉ (= 104.77 mg/l), K+(= 141.51 mg/l), PO4 ˉ2 (= 2.99 mg/l) and high Fˉ value with a maximum of 4.6 mg/l (at Shahpur) are observed in ground water samples. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | International Journal of Remote Sensing |
| NAAS Rating: | 8.98 |
| Volume No.: | 2(1) |
| Page Number: | 1-9 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/34547 |
| Appears in Collections: | CS-IARI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Rawat_GWQ_2012.pdf | 530.95 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.