Network design for groundwater monitoring : a case study

The applicability and usefulness of Geostatistics (kriging) as a tool for optimum selection of sites for monitoring groundwater levels has been demonstrated through a case study. The criterion used is the estimation of error variance. Groundwater level data (pre-monsoon 1994) obtained from 32 observ...

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Bibliographic Details
Published inEnvironmental geology (Berlin) Vol. 39; no. 6; pp. 628 - 632
Main Authors PRAKASH, M. R, SINGH, V. S
Format Journal Article
LanguageEnglish
Published Berlin Springer 18.04.2000
Subjects
Earth sciences
Earth, ocean, space
Exact sciences and technology
Hydrogeology
Hydrology. Hydrogeology
Water resources
Andhra Pradesh India
India
geostatistics
drainage basins
observation wells
stochastic models
Asia
kriging
ground water
water resource management
spatial distribution
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Summary:The applicability and usefulness of Geostatistics (kriging) as a tool for optimum selection of sites for monitoring groundwater levels has been demonstrated through a case study. The criterion used is the estimation of error variance. Groundwater level data (pre-monsoon 1994) obtained from 32 observation wells of Upper Kongal basin, Nalgonda District, A.P. (India) has been stochastically analyzed. The spatial distribution of water levels and its associated error variance is computed and the locations having maximum error variance are selected as additional sites for augmenting the existing observational well network.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0943-0105
1432-0495
DOI:10.1007/s002540050474