scholarly journals Health risk assessment model for lead contaminated soil in Bagega Community, Nigeria

2018 ◽  
Vol 22 (5) ◽  
pp. 719
Author(s):  
OC Alaba ◽  
ZO Opafunso ◽  
G. Agyei
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Contaminated Soil ◽  
Assessment Model ◽  
Risk Assessment Model

Development of a multi-pathway probabilistic health risk assessment model for swimmers exposed to chloroform in indoor swimming pools

2011 ◽  
Vol 185 (2-3) ◽  
pp. 1037-1044 ◽  
Author(s):  
Ming-Jen Chen ◽  
Ching-Ho Lin ◽  
Jing-Min Duh ◽  
Wen-Shiuan Chou ◽  
Hui-Tsung Hsu
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Swimming Pools

scholarly journals Water Quality Pollutants and Health Risk assessment for Four Different Drinking Water Sources

2019 ◽  
Vol 78 ◽  
pp. 03004
Author(s):  
Miaomiao Tian ◽  
Wenzhao Li ◽  
Meijuan Ruan ◽  
Jing Wei ◽  
Weiwei Ma
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Drinking Water ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Rural Areas ◽  
Assessment Model ◽  
Risk Level ◽  
Risk Assessment Model ◽  
Acceptable Risk

Drinking water quality has become a great concern to the whole society, especially in heavily polluted rural areas. This paper analyzes the water quality of 100 water supping the US Environmental Protection Agency's (USEPA) recommended health risk assessment model. The results showed that the microbial indicators exceeded the standard in the whole year, and some of the water supply units which lead, nitrated and dissolved solids exceeding the standard. The model recommended by EPA is applied to establish risk assessment model for health risk assessment of adults in wet and dry seasons, respectively. Results of HRA indicated that carcinogenic risk of chromium was 7.61E-05a-1 and the risk value of arsenic was 9.92E-06a-1 which exceed the maximum acceptable risk level recommended by USEPA 5.0×10-5 closely to the ICPR recommendation 1.0×10-6. Meanwhile we conduct health risk assessment (HRA) on relevant non-carcinogenic indicators: nitrate is 2.95E-09a-1, the risk value of fluoride (F) is 2.49E-09a-1, the risk value of lead is 2.39E-09a-1 and copper (Cu) 9.00E-10a-1 exceeds the maximum acceptable risk level risk value recommended by USEPA 1.0×10-9. The above indicators require priority control and management of pollutants that are prioritized and managed.

A health risk assessment model for homeowners with multiple pathway radon exposure

1996 ◽  
Vol 22 ◽  
pp. 739-747 ◽  
Author(s):  
Alan J. Siniscalchi ◽  
Sarah J. Tibbetts ◽  
Regine C. Beakes ◽  
Xaviel Soto ◽  
Margaret A. Thomas ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Radon Exposure ◽  
Multiple Pathway

scholarly journals Application of a health risk assessment model for cattle exposed to pesticides in contaminated drinking waters: A study case from the Pampas region, Argentina

Chemosphere ◽  
2018 ◽  
Vol 196 ◽  
pp. 585-592 ◽  
Author(s):  
Sabrina Dubny ◽  
Fabio Peluso ◽  
Ignacio Masson ◽  
Natalia Othax ◽  
José González Castelain
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Drinking Waters ◽  
Study Case ◽  
Pampas Region

scholarly journals Pb Content, Risk Level and Primary-Source Apportionment in Wheat and Rice Grains in the Lihe River Watershed, Taihu Region, Eastern China

2021 ◽  
Vol 18 (12) ◽  
pp. 6256
Author(s):  
Lian Chen ◽  
Shenglu Zhou ◽  
Qiong Yang ◽  
Qingrong Li ◽  
Dongxu Xing ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Source Apportionment ◽  
Health Risk Assessment ◽  
Eastern China ◽  
Assessment Model ◽  
Primary Sources ◽  
Risk Level ◽  
River Watershed ◽  
Rice Grains

This study detailed a complete research from Lead (Pb) content level to ecological and health risk to direct- and primary-sources apportionment arising from wheat and rice grains, in the Lihe River Watershed of the Taihu region, East China. Ecological and health risk assessment were based on the pollution index and US Environmental Protection Agency (EPA) health risk assessment model. A three-stage quantitative analysis program based on Pb isotope analysis to determine the relative contributions of primary sources involving (1) direct-source apportionment in grains with a two-end-member model, (2) apportionment of soil and dustfall sources using the IsoSource model, and (3) the integration of results of (1) and (2) was notedly first proposed. The results indicated that mean contents of Pb in wheat and rice grains were 0.54 and 0.45 mg/kg and both the bio-concentration factors (BCF) were <<1; the ecological risk pollution indices were 1.35 for wheat grains and 1.11 for rice grains; hazard quotient (HQ) values for adult and child indicating health risks through ingestion of grains were all <1; Coal-fired industrial sources account for up to 60% of Pb in the grains. This study provides insights into the management of grain Pb pollution and a new method for its source apportionment.

Study on the Effect of Exposure Duration on Recommended Target of Cd-Contaminated Soil Remediation

2011 ◽  
Vol 414 ◽  
pp. 214-220
Author(s):  
Xiao Song Sun ◽  
An Ping Liu ◽  
Hang Zhou ◽  
Xiao Nan Sun ◽  
Jian Ming Sun
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Soil Remediation ◽  
Health Risk Assessment ◽  
Contaminated Soil ◽  
Exposure Duration ◽  
Contaminated Sites ◽  
The Relationship

Based on the process of health risk assessment for Cd contaminated sites, study the relationship between exposure duration and recommended target of soil remediation. This paper discusses the changes (from 7.7 mg/kg to 5.0 mg/kg, from 9.1 mg/kg to 3.8 mg/kg) of recommended target for soil remediation when the exposure duration has large changes (EDa ranges from 6a to 36a, EDc ranges from 1a to 12a). The results point out that both EDa and EDc have effects on recommended target of soil remediation, and in general, exposure duration and recommended target of soil remediation vary inversely.

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