Spatial estimates of stormwater-pollutant loading using bayesian networks and geographic information systems

Water Environment Research

Volumn 78, Issue 4, 2006, Pages 421-429

  Park, Mi Hyun ^a   Stenstrom, Michael K ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bayesian networks; Geographic information system; Satellite image classification; Stormwater runoff pollution

Indexed keywords

CONCENTRATION (PROCESS); GEOGRAPHIC INFORMATION SYSTEMS; IMAGE PROCESSING; RUNOFF; SATELLITES; WETLANDS;

BAYESIAN NETWORKS; EVENT MEAN CONCENTRATIONS (EMC); SATELLITE IMAGE CLASSIFICATION; STORMWATER RUNOFF POLLUTION;

STORM SEWERS;

RUNOFF; STORM WATER; RAIN; SEA WATER;

CONCENTRATION (PROCESS); GEOGRAPHIC INFORMATION SYSTEMS; IMAGE PROCESSING; RUNOFF; SATELLITES; STORM SEWERS; WETLANDS;

BAYESIAN ANALYSIS; EMPIRICAL ANALYSIS; GIS; NONPOINT SOURCE POLLUTION; POLLUTANT TRANSPORT; RUNOFF; SPATIAL ANALYSIS; STORMWATER; THEMATIC MAPPING; WATERSHED;

BAYES THEOREM; CONCENTRATION (PARAMETERS); GEOGRAPHIC INFORMATION SYSTEM; LAND USE; NONPOINT SOURCE POLLUTION; PRIORITY JOURNAL; REVIEW; UNITED STATES; WATER POLLUTANT; WATER POLLUTION; WETLAND; ARTICLE; ENVIRONMENTAL MONITORING; GEOGRAPHY; METHODOLOGY; THEORETICAL MODEL; WATER FLOW;

CALIFORNIA; NORTH AMERICA; SANTA MONICA BAY; UNITED STATES;

BAYES THEOREM; ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHY; MODELS, THEORETICAL; RAIN; SEAWATER; WATER MOVEMENTS; WATER POLLUTANTS;

EID: 33748945594     PISSN: 10614303     EISSN: None     Source Type: Journal    
DOI: 10.2175/106143006X98813     Document Type: Review

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