Keyword search (4,164 papers available)

"Asif Z" Authored Publications:

Title Authors PubMed ID
1 Carbon based sensors for air quality monitoring networks; middle east perspective Shahid I; Shahzad MI; Tutsak E; Mahfouz MMK; Al Adba MS; Abbasi SA; Rathore HA; Asif Z; Chen Z; 38831915
ENCS
2 Estimation of Anthropogenic VOCs Emission Based on Volatile Chemical Products: A Canadian Perspective Asif Z; Chen Z; Haghighat F; Nasiri F; Dong J; 36416924
ENCS
3 Update on air pollution control strategies for coal-fired power plants Asif Z; Chen Z; Wang H; Zhu Y; 35572480
ENCS
4 Dynamics of SARS-CoV-2 spreading under the influence of environmental factors and strategies to tackle the pandemic: A systematic review Asif Z; Chen Z; Stranges S; Zhao X; Sadiq R; Olea-Popelka F; Peng C; Haghighat F; Yu T; 35317188
ENCS
5 A regional numerical environmental multimedia modeling approach to assess spatial Eco-Environmental exposure risk of perfluorooctane sulfonate (PFOS) in the Pearl river basin Chen Z; Dong J; Asif Z; 35121494
ENCS
6 Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis Zhu Y; Chen Z; Asif Z; 34380214
ENCS
7 Air quality modeling for effective environmental management in the mining region. Asif Z, Chen Z, Han Y 29667510
ENCS

 

Title:A regional numerical environmental multimedia modeling approach to assess spatial Eco-Environmental exposure risk of perfluorooctane sulfonate (PFOS) in the Pearl river basin
Authors:Chen ZDong JAsif Z
Link:https://pubmed.ncbi.nlm.nih.gov/35121494/
DOI:10.1016/j.envint.2022.107101
Publication:Environment international
Keywords:Environmental multimedia modelHealth riskNumerical analysisPFOSRiver basinSpatiotemporal resolution
PMID:35121494 Category: Date Added:2022-02-05
Dept Affiliation: ENCS
1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal H3G 1M8, Canada. Electronic address: zhichen@bcee.concordia.ca.
2 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal H3G 1M8, Canada.

Description:

This paper presents a novel numerical environmental multimedia modeling system (RNEMM) for assessing the environmental fate of emerging organic contaminants and their relative health risk at a regional scale. The RNEMM is developed based on an integrated numerical algorithm that comprises four sub-models: a river network simulation module, a gaseous phase simulation module, a mass balance based simulation module for soil compartment, and a food web analysis module. This RNEMM has been applied to simulate the spatial distribution of PFOS and assess the consequent health risks for a central water basin region of the Pearl River in China. The study region includes the urban areas of Guangzhou, Foshan, and Dongguan Cities with emission sources of PFOS, which was detected in local water, sediments, and air environment. The spatial concentration distributions of PFOS in water, sediment, air, soil, and various fish species are examined based on RNEMM and compared with the measured data. With a focus on water environment, it shows that the simulated results essentially agree well with measured concentrations. Comparing the simulated results and the measured data collected in 2013, the relative errors are mostly less than 40 % in the surface water and sediment zones for this regional scale field study. Whereas the relative error in the atmosphere zone is less than 5%. In addition, the health risk assessment for children and adults is conducted based on the RNEMM approach. The hazard quotient (HQ) values for the 95th percentile in most subareas of the study region are higher than 0.1, showing a low-risk level for the study period. The results indicate that the RNEMM is a useful modeling tool to manage the environmental and health risks associated with emerging contaminants on regional air, water, soil, and ecosystem at an adequate spatial-temporal resolution.





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