Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management

In this study, a simple screening approach was proposed to evaluate region-specific population health risks of soil pesticides, which was achieved by introducing region-specific factors of pesticides, including fate factors (FFs), environmental distribution factors (DFs), and intake factors (IFs). T...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Zijian Li, Shan Niu
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/9d2422cd721c405daa6334ce3aa10523
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:9d2422cd721c405daa6334ce3aa10523
record_format dspace
spelling oai:doaj.org-article:9d2422cd721c405daa6334ce3aa105232021-11-06T04:15:29ZImproving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management0147-651310.1016/j.ecoenv.2021.112894https://doaj.org/article/9d2422cd721c405daa6334ce3aa105232021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S014765132101006Xhttps://doaj.org/toc/0147-6513In this study, a simple screening approach was proposed to evaluate region-specific population health risks of soil pesticides, which was achieved by introducing region-specific factors of pesticides, including fate factors (FFs), environmental distribution factors (DFs), and intake factors (IFs). These region-specific factors were characterized using simple weather variables and calculated the characterization factors (CFs) to link pesticide emissions to population exposure risks. The CF at the reference state indicates the potential of a pesticide entering the human body. Simulations for over 700 pesticides showed that pesticides that are thermodynamically stable in soil organics have large CFs. In addition, we conducted a case study on the region-specific risk assessment of malathion in the United States. The results indicated that colder regions have larger CFs of malathion than those of the warmer regions due to the large FF values for the same emission rates. However, from a regulatory perspective, colder regions should have less strict malathion soil standards than those of warmer regions as children in colder regions spend limited time outdoors. Although other region-specific factors such as soil type and population density need to be considered to improve the model, the approach proposed in this study can be used as a simple screening tool to evaluate region-specific population health risks and manage soil residues for different regions.Zijian LiShan NiuElsevierarticleFate modelSoil qualitySoil pollutionHuman healthRegulatory managementEnvironmental pollutionTD172-193.5Environmental sciencesGE1-350ENEcotoxicology and Environmental Safety, Vol 227, Iss , Pp 112894- (2021)
institution DOAJ
collection DOAJ
language EN
topic Fate model
Soil quality
Soil pollution
Human health
Regulatory management
Environmental pollution
TD172-193.5
Environmental sciences
GE1-350
spellingShingle Fate model
Soil quality
Soil pollution
Human health
Regulatory management
Environmental pollution
TD172-193.5
Environmental sciences
GE1-350
Zijian Li
Shan Niu
Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management
description In this study, a simple screening approach was proposed to evaluate region-specific population health risks of soil pesticides, which was achieved by introducing region-specific factors of pesticides, including fate factors (FFs), environmental distribution factors (DFs), and intake factors (IFs). These region-specific factors were characterized using simple weather variables and calculated the characterization factors (CFs) to link pesticide emissions to population exposure risks. The CF at the reference state indicates the potential of a pesticide entering the human body. Simulations for over 700 pesticides showed that pesticides that are thermodynamically stable in soil organics have large CFs. In addition, we conducted a case study on the region-specific risk assessment of malathion in the United States. The results indicated that colder regions have larger CFs of malathion than those of the warmer regions due to the large FF values for the same emission rates. However, from a regulatory perspective, colder regions should have less strict malathion soil standards than those of warmer regions as children in colder regions spend limited time outdoors. Although other region-specific factors such as soil type and population density need to be considered to improve the model, the approach proposed in this study can be used as a simple screening tool to evaluate region-specific population health risks and manage soil residues for different regions.
format article
author Zijian Li
Shan Niu
author_facet Zijian Li
Shan Niu
author_sort Zijian Li
title Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management
title_short Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management
title_full Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management
title_fullStr Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management
title_full_unstemmed Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management
title_sort improving screening model of pesticide risk assessment in surface soils: addressing regional specific human exposure risks and regulatory management
publisher Elsevier
publishDate 2021
url https://doaj.org/article/9d2422cd721c405daa6334ce3aa10523
work_keys_str_mv AT zijianli improvingscreeningmodelofpesticideriskassessmentinsurfacesoilsaddressingregionalspecifichumanexposurerisksandregulatorymanagement
AT shanniu improvingscreeningmodelofpesticideriskassessmentinsurfacesoilsaddressingregionalspecifichumanexposurerisksandregulatorymanagement
_version_ 1718443932857139200