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/123456789/35608
Title: | Spatial distribution of Fe and Mn in paper mill effluent affected agricultural soils in Morigaon, Assam |
Other Titles: | Not Available |
Authors: | S.K. Reza, Utpal Baruah and S.K. Singh |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Bureau of Soil Survey and Land Use Planning |
Published/ Complete Date: | 2016-01-01 |
Project Code: | Not Available |
Keywords: | Heavy metals, geostatistics, spatial variability, accuracy assessment |
Publisher: | Indian Society Of Soil Survey & Land Use Planning |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | The spatial distribution of Fe and Mn in the paper mill effluent contaminated area of Jagiroad, Assam, India were investigated using statistics, geostatistics and GIS techniques. The total concentration of Fe and Mn were determined for 188 samples collected from the contaminated area. The mean concentration of Fe (7629 mg kg1) was high. The highest and the lowest standard deviation were observed in the Fe (1749) and pH (0.81), respectively. Analysis of the isotropic variogram indicated that the Fe semivariogram was well described with the Gaussian model, with the distance of spatial dependence being 1354 m, while Mn was well described with the spherical model, with the distance of spatial dependence being 833 m. The ordinary kriging estimates of Fe and Mn maps showed that high concentrations of these metals occured in the low-lying areas like bils (lakes). For both the investigated heavy metals the prediction of goodness (G) value was greater than zero. This indicates that spatial prediction is better than assuming mean of observed value as the property value for any unsampled location. Thus the geostatistical method was spatial variability of Fe and Mn. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Agropedology |
NAAS Rating: | Not Available |
Volume No.: | 26(01) |
Page Number: | 87-93 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/35608 |
Appears in Collections: | NRM-NBSSLUP-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Agropedology-2016-Spatial distribution of Fe and Mn in paper mill effluent affected agricultural soils in Morigaon, Assam.pdf | 597.41 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.