Industrial metal pollution in water and probabilistic assessment of human health risk

Journal of Environmental Management

Volumn 185, Issue , 2017, Pages 70-78

  Saha, Narottam ^a   Rahman, M Safiur ^b   Ahmed, Mohammad Boshir ^c   Zhou, John L ^c   Ngo, Huu Hao ^c   Guo, Wenshan ^c  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b INSTITUTE OF NUCLEAR SCIENCE AND TECHNOLOGY   (Bangladesh)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Deterministic approach; Health risk analysis; Monte Carlo simulation; Probabilistic approach; Water pollution

Indexed keywords

DISEASES; GROUNDWATER POLLUTION; HEALTH HAZARDS; HEALTH RISKS; HEAVY METALS; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; POTABLE WATER; RISK ANALYSIS; RISK ASSESSMENT; RISK PERCEPTION; RIVER POLLUTION; RIVERS; SENSITIVITY ANALYSIS; WATER QUALITY;

BANGSHI RIVERS; CANCER RISK; CARCINOGENICS; DERMAL CONTACTS; DETERMINISTIC APPROACH; HAZARD INDICES; HEALTH RISK ANALYSIS; MONTE CARLO'S SIMULATION; PROBABILISTICS APPROACH; RIVER WATER;

GROUNDWATER;

ARSENIC; CHROMIUM; COPPER; DRINKING WATER; GROUND WATER; HEAVY METAL; LEAD; MANGANESE; NICKEL; RIVER WATER; SURFACE WATER; WATER; ZINC;

CANCER; CARCINOGEN; CHILD HEALTH; CONCENTRATION (COMPOSITION); DRINKING WATER; HEALTH RISK; INDUSTRIAL WASTE; POLLUTANT SOURCE; POLLUTION EXPOSURE; RESIDENT POPULATION; RISK ASSESSMENT; SENSITIVITY ANALYSIS; WATER POLLUTION; WATER QUALITY;

ADULT; ARTICLE; CANCER RISK; CHILD; CONCENTRATION (PARAMETERS); ENVIRONMENTAL EXPOSURE; GROUPS BY AGE; HEALTH HAZARD; HEAVY METAL POISONING; HUMAN; INDUSTRIAL AREA; INGESTION; PROBABILITY; RESIDENT; SAFETY; SKIN ABSORPTION; WATER ANALYSIS; WATER CONTAMINATION; WATER QUALITY; WATER SAMPLING; BANGLADESH; CHINA; ENVIRONMENTAL HEALTH; ENVIRONMENTAL MONITORING; RISK ASSESSMENT; WATER POLLUTANT;

BANGLADESH; DHAKA [BANGLADESH];

ADULT; BANGLADESH; CHILD; CHINA; ENVIRONMENTAL HEALTH; ENVIRONMENTAL MONITORING; HUMANS; METALS, HEAVY; RISK ASSESSMENT; WATER; WATER POLLUTANTS, CHEMICAL;

EID: 84993981973     PISSN: 03014797     EISSN: 10958630     Source Type: Journal    
DOI: 10.1016/j.jenvman.2016.10.023     Document Type: Article

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