Comparison of deterministic and stochastic methods to predict spatial variation of groundwater depth

Applied Water Science

Volumn 7, Issue 1, 2017, Pages 339-348

  Adhikary, Partha Pratim ^a,b   Dash, Ch Jyotiprava ^a,b  

^a INDIAN AGRICULTURAL RESEARCH INSTITUTE   (India)

^b ICAR INDIAN INSTITUTE OF SOIL AND WATER CONSERVATION   (India)

Author keywords

Delhi; Groundwater depth; Inverse distance weighting; Ordinary kriging; Radial basis function; Universal kriging

Indexed keywords

FORECASTING; FUNCTIONS; GROUNDWATER RESOURCES; INTERPOLATION; INVERSE PROBLEMS; RADIAL BASIS FUNCTION NETWORKS; STOCHASTIC SYSTEMS; WATER MANAGEMENT;

BASE FUNCTION; DELHI; DETERMINISTIC METHODS; GROUND WATER DEPTHS; INVERSE DISTANCE WEIGHTING; KRIGING METHODS; ORDINARY KRIGING; RADIAL BASE FUNCTION; RADIAL BASIS; UNIVERSAL KRIGING;

GROUNDWATER;

COMPARATIVE STUDY; GROUNDWATER; INTERPOLATION; KRIGING; PREDICTION; SPATIAL VARIATION; STOCHASTICITY; WATER DEPTH; WATER MANAGEMENT; WATER PLANNING;

DELHI; INDIA;

EID: 85047407404     PISSN: 21905487     EISSN: 21905495     Source Type: Journal    
DOI: 10.1007/s13201-014-0249-8     Document Type: Article

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