The assessment of spatial distribution of soil salinity risk using neural network

Environmental Monitoring and Assessment

Volumn 184, Issue 4, 2012, Pages 2475-2485

  Akramkhanov, Akmal ^a   Vlek, Paul L G ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

Environmental correlation; Irrigated agriculture; Spatial variation; Upscaling; Validation

Indexed keywords

ENVIRONMENTAL CORRELATIONS; IRRIGATED AGRICULTURE; SPATIAL VARIATIONS; UPSCALING; VALIDATION;

CULTIVATION; FARMS; GROUNDWATER; LEACHING; REMOTE SENSING; SOILS; SPATIAL DISTRIBUTION;

SALINITY MEASUREMENT;

SURFACE WATER;

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL IMPACT ASSESSMENT; IRRIGATION; LEACHING; LIMITING FACTOR; MODEL VALIDATION; RISK ASSESSMENT; SALINITY; SALT; SOIL; SPATIAL DISTRIBUTION; SPATIAL VARIATION; UPSCALING;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PREDICTION; CORRELATION COEFFICIENT; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL PARAMETERS; LEACHING; MEASUREMENT; RISK ASSESSMENT; SALINITY; SENSITIVITY ANALYSIS; SOIL ANALYSIS; SOIL PROPERTY; VALIDITY;

AGRICULTURE; DEMOGRAPHY; ENVIRONMENTAL MONITORING; NEURAL NETWORKS (COMPUTER); SALINITY; SOIL; UZBEKISTAN;

EID: 84862848561     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-011-2132-5     Document Type: Article

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