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  1. KRISHI Publication and Data Inventory Repository
  2. Natural Resource Management A8
  3. ICAR-National Bureau of Soil Survey and Land Use Planning M7
  4. NRM-NBSSLUP-Publication
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"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
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DC FieldValueLanguage
dc.contributor.authorS.K. Reza, Utpal Baruah and S.K. Singhen_US
dc.date.accessioned2020-05-13T14:50:19Z-
dc.date.available2020-05-13T14:50:19Z-
dc.date.issued2016-01-01-
dc.identifier.citationNot Availableen_US
dc.identifier.issnNot Available-
dc.identifier.urihttp://krishi.icar.gov.in/jspui/handle/123456789/35608-
dc.descriptionNot Availableen_US
dc.description.abstractThe 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.en_US
dc.description.sponsorshipNot Availableen_US
dc.language.isoEnglishen_US
dc.publisherIndian Society Of Soil Survey & Land Use Planningen_US
dc.relation.ispartofseriesNot Available;-
dc.subjectHeavy metals, geostatistics, spatial variability, accuracy assessmenten_US
dc.titleSpatial distribution of Fe and Mn in paper mill effluent affected agricultural soils in Morigaon, Assamen_US
dc.title.alternativeNot Availableen_US
dc.typeArticleen_US
dc.publication.projectcodeNot Availableen_US
dc.publication.journalnameAgropedologyen_US
dc.publication.volumeno26(01)en_US
dc.publication.pagenumber87-93en_US
dc.publication.divisionUnitNot Availableen_US
dc.publication.sourceUrlNot Availableen_US
dc.publication.authorAffiliationICAR::National Bureau of Soil Survey and Land Use Planningen_US
dc.ICARdataUseLicencehttp://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdfen_US
dc.publication.naasratingNot Availableen_US
Appears in Collections:NRM-NBSSLUP-Publication

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