Assessing combined sewer overflows with long lead time for better surface water management

Environmental Technology (United Kingdom)

Volumn 35, Issue 5, 2014, Pages 568-580

  Abdellatif, Mawada ^a   Atherton, William ^a   Alkhaddar, Rafid ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

climate change; combined sewer overflow; InfoWorks CS; pollution risk; time series

Indexed keywords

BIOCHEMICAL OXYGEN DEMAND; CLIMATE CHANGE; POLLUTION; RAIN; RIVER POLLUTION; STORMS; TIME SERIES; WATER MANAGEMENT;

COMBINED SEWER OVERFLOWS; GLOBAL CIRCULATION MODEL; INFOWORKS; MICROBIAL PATHOGENS; RECEIVING WATERS; SPECIAL REPORT ON EMISSIONS SCENARIOS; SUSPENDED SOLIDS; URBAN STORMWATER RUNOFF;

COMBINED SEWERS;

RAIN;

BIOCHEMICAL OXYGEN DEMAND; CLIMATE CHANGE; POLLUTION; RAINFALL; RIVER DISCHARGE; RUNOFF; STORMWATER; SURFACE WATER; TIME SERIES ANALYSIS; WASTEWATER; WATER MANAGEMENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLIMATE CHANGE; COMBINED SEWER OVERFLOW; GREENHOUSE; SEWER; UNITED KINGDOM; WATER MANAGEMENT;

ENGLAND; UNITED KINGDOM;

BIOLOGICAL OXYGEN DEMAND ANALYSIS; CALIBRATION; CLIMATE CHANGE; COMPUTER SIMULATION; DATABASES, FACTUAL; ENGLAND; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTANTS; MODELS, STATISTICAL; RAIN; REPRODUCIBILITY OF RESULTS; RIVERS; SEWAGE; SOFTWARE; WASTE WATER; WATER; WATER MICROBIOLOGY; WATER MOVEMENTS; WATER POLLUTANTS, CHEMICAL; WATER PURIFICATION;

EID: 84891837008     PISSN: 09593330     EISSN: 1479487X     Source Type: Journal    
DOI: 10.1080/09593330.2013.837938     Document Type: Article

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