Bayesian Maximum Entropy space/time estimation of surface water chloride in Maryland using river distances

Environmental Pollution

Volumn 219, Issue , 2016, Pages 1148-1155

  Jat, Prahlad ^a   Serre, Marc L ^a  

^a IL   (United States)

Author keywords

Chloride; Geostatistics; Monitoring; River distance

Indexed keywords

CHLORINE COMPOUNDS; CONTAMINATION; COST EFFECTIVENESS; ENTROPY; MONITORING; RIVERS; SURFACE WATERS; WATER QUALITY; WATER RESOURCES;

BAYESIAN MAXIMUM ENTROPIES; CHLORIDE; CHLORIDE CONCENTRATIONS; CONTAMINATED WATERSHEDS; COST-EFFECTIVE METHODS; GEO-STATISTICS; GEOSTATISTICAL ESTIMATION; WATER QUALITY IMPAIRMENT;

RIVER POLLUTION;

CHLORIDE; SURFACE WATER; WATER; WATER POLLUTANT;

BAYESIAN ANALYSIS; CHLORIDE; ESTIMATION METHOD; GEOSTATISTICS; RIVER POLLUTION; RIVER WATER; SURFACE WATER; WATER QUALITY;

ACCURACY; ARTICLE; BAYESIAN MAXIMUM ENTROPY; CONCENTRATION (PARAMETERS); COST EFFECTIVENESS ANALYSIS; ENVIRONMENTAL MONITORING; GEOSTATISTICAL ANALYSIS; HYDROGRAPHY; MARYLAND; RIVER ECOSYSTEM; URBAN AREA; WATER CONTAMINATION; WATER QUALITY; ANALYSIS; BAYES THEOREM; CHEMISTRY; CITY; ENTROPY; PROCEDURES; RIVER; WATER POLLUTANT;

BALTIMORE; COLUMBIA [MARYLAND]; MARYLAND; UNITED STATES;

BALTIMORE; BAYES THEOREM; CHLORIDES; CITIES; ENTROPY; ENVIRONMENTAL MONITORING; MARYLAND; RIVERS; WATER; WATER POLLUTANTS, CHEMICAL;

EID: 84995477286     PISSN: 02697491     EISSN: 18736424     Source Type: Journal    
DOI: 10.1016/j.envpol.2016.09.020     Document Type: Article

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