Developing the remote sensing-based early warning system for monitoring TSS concentrations in Lake Mead

Journal of Environmental Management

Volumn 160, Issue , 2015, Pages 73-89

  Imen, Sanaz ^a   Chang, Ni Bin ^a   Yang, Y Jeffrey ^b  

^a University of Central Florida   (United States)

^b U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

Author keywords

Early warning system; Forecasting; Nowcasting; Remote sensing; Total suspended solids; Water supply

Indexed keywords

DATA FUSION; DEFORESTATION; LAKES; MEAN SQUARE ERROR; POTABLE WATER; REMOTE SENSING; RESERVOIRS (WATER); WATER LEVELS; WATER QUALITY; WATER SUPPLY; WATER TREATMENT;

DATA FUSION TECHNIQUE; DATA-MINING TECHNIQUES; EARLY WARNING SYSTEM; INTEGRATED DATA; LAKE MEADS; NOWCASTING; REMOTE-SENSING; SUSPENDED SOLID CONCENTRATION; TOTAL SUSPENDED SOLIDS; WATER INTAKES;

FORECASTING;

SURFACE WATER; WATER POLLUTANT;

CONCENTRATION (COMPOSITION); DATA MINING; EARLY WARNING SYSTEM; ERROR ANALYSIS; LAKE WATER; REAL TIME; RELIABILITY ANALYSIS; REMOTE SENSING; WATER QUALITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHLORINATION; CLIMATE CHANGE; FLUID INTAKE; FORECASTING; LAKE SEDIMENT; MACHINE LEARNING; OZONATION; RELIABILITY; REMOTE SENSING; RIVER BASIN; SATELLITE IMAGERY; SEDIMENT TRANSPORT; SUSPENDED PARTICULATE MATTER; WASTE WATER MANAGEMENT; WATER QUALITY; WATER SAMPLING; WATER SUPPLY; WATER TREATMENT; CHEMISTRY; DEVICES; ENVIRONMENTAL MONITORING; HUMAN; LAKE; PROCEDURES; UNITED STATES; WATER POLLUTANT;

LAKE MEAD; UNITED STATES;

ARIZONA; ENVIRONMENTAL MONITORING; HUMANS; LAKES; NEVADA; REMOTE SENSING TECHNOLOGY; WATER POLLUTANTS, CHEMICAL; WATER QUALITY; WATER SUPPLY;

EID: 84934926165     PISSN: 03014797     EISSN: 10958630     Source Type: Journal    
DOI: 10.1016/j.jenvman.2015.06.003     Document Type: Article

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