GIS-based spatial regression and prediction of water quality in river networks: A case study in Iowa

Journal of Environmental Management

Volumn 91, Issue 10, 2010, Pages 1943-1951

  Yang, Xiaoying ^a   Jin, Wei ^b  

^a FUDAN UNIVERSITY   (China)

^b UNIVERSITY OF KANSAS   (United States)

Author keywords

GIS; Kriging; Nitrogen; River network; Spatial prediction; Spatial regression; Stream monitoring network; Water quality

Indexed keywords

FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; LEAST SQUARES APPROXIMATIONS; NITROGEN; QUALITY CONTROL; REGRESSION ANALYSIS; RIVER POLLUTION; RIVERS; UNCERTAINTY ANALYSIS; WATER POLLUTION CONTROL; WATER QUALITY; WATERSHEDS;

KRIGING; MONITORING NETWORK; NONPOINT SOURCES; ORDINARY LEAST SQUARES METHODS; RIVER NETWORK; SOURCE POLLUTION; SPATIAL PREDICTION; SPATIAL REGRESSION; STREAM MONITORING NETWORK; WATERSHED CHARACTERISTICS;

KRIGING;

NITRIC OXIDE; NITROGEN;

CORRELATION; DATA SET; GIS; KRIGING; NITROGEN; NONPOINT SOURCE POLLUTION; POLLUTION CONTROL; REGRESSION ANALYSIS; RIVER POLLUTION; SPATIAL ANALYSIS; WATER PLANNING; WATER QUALITY; WATERSHED;

ARTICLE; CASE STUDY; DATA BASE; GEOGRAPHIC INFORMATION SYSTEM; KRIGING; NITROGEN CONCENTRATION; POLLUTION CONTROL; POLLUTION MONITORING; PREDICTION; REGRESSION ANALYSIS; RIVER; STATISTICAL MODEL; UNITED STATES; WATER POLLUTION; WATER POLLUTION CONTROL; WATER QUALITY; WATERSHED;

CEDAR BASIN; IOWA; UNITED STATES;

EID: 77954383607     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2010.04.011     Document Type: Article

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