Modeling and mapping of cadmium in soils based on qualitative and quantitative auxiliary variables in a cadmium contaminated area

Science of the Total Environment

Volumn 580, Issue , 2017, Pages 430-439

  Cao, Shanshan ^a,b   Lu, Anxiang ^a,b,c   Wang, Jihua ^a,b   Huo, Lili ^d  

^a INSTITUTE OF PLANT AND ENVIRONMENT PROTECTION   (China)

^b Beijing Municipal Key Laboratory of Agriculture Environment Monitoring   (China)

^c Collaborative Innovation Center for Key Technology of Smart Irrigation District in Hubei ^*  (China)

^d AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

Author keywords

Environmental variable; Heavy metals; Regression kriging; Spatial prediction; Variability

Indexed keywords

CADMIUM; ERRORS; FORECASTING; HEAVY METALS; INTERPOLATION; LAND USE; MAPPING; MEAN SQUARE ERROR; REGRESSION ANALYSIS; SOILS; SPATIAL DISTRIBUTION;

ENVIRONMENTAL VARIABLES; HUNAN PROVINCE , CHINA; PERFORMANCE INDICATORS; QUANTITATIVE VARIABLES; REGRESSION-KRIGING; ROOT MEAN SQUARED ERRORS; SPATIAL PREDICTION; VARIABILITY;

SOIL SURVEYS;

CADMIUM;

CADMIUM; ENVIRONMENTAL FACTOR; KRIGING; MAPPING METHOD; MODELING; PREDICTION; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; SOIL POLLUTION; SPATIAL DISTRIBUTION;

ARTICLE; CHINA; GEOGRAPHIC DISTRIBUTION; KRIGING; MEASUREMENT ACCURACY; MEASUREMENT ERROR; POLLUTION MONITORING; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SOIL POLLUTION;

CHINA; HUNAN;

EID: 85009401582     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2016.10.088     Document Type: Article

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