Publications
Search

Publications :: Search

Spatial Variability of Ground Water Quality in Mathura District (Uttar Pradesh, India) with Geostatistical Method

Show publication

On this page you see the details of the selected publication.

    Publication properties
    Title: Spatial Variability of Ground Water Quality in Mathura District (Uttar Pradesh, India) with Geostatistical Method
    Rating: (not rated yet)
    Discussion: 0 comments
    Date: 2016
    Publication type: Technical report
    Authors:
    No. First name Last name Show
    1. SEP C
    Bookmark:

    The following keywords have been assigned to this publication so far. If you have logged in, you can tag this publication with additional keywords.

    Keywords
    1. Geo-statistical methods
    2. Interpolation and Ground water quality
    3. Spatial distribution

    If you log in you can tag this publication with additional keywords

    A publication can refer to another publication (outgoing references) or it can be referred to by other publications (incoming references).

    Incoming References
    No incoming references have been assigned to this publication yet.
    Outgoing References
    No outgoing references have been assigned to this publication yet.

    If you log in you can add references to other publications

    A publication can be assigned to a conference, a journal or a school.

    Venue
    1Research Associate,Water Technology Centre ,Indian Agricultural Research Institute

    Abstract

    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, SO42ˉand PO42ˉ. Data were collected from 13 wells in Mathura district (Uttar Pradesh, India). After normalization of data, semi-variogram was drawn. For selecting suitable model for fitness on experimental semi-variogram, residual sum of squares (RSS) value was used. Use of geo-statistics (i.e., 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), PO4ˉ2 (=2.99 mg/l) and high Fˉ value with a maximum of 4.6 mg/l (at Shahpur) are observed in ground water samples.