Literature DB >> 29644617

Study on sandstorm PM10 exposure assessment in the large-scale region: a case study in Inner Mongolia.

Hongmei Wang1, Shihai Lv2, Zhaoyan Diao2, Baolu Wang3, Han Zhang4, Caihong Yu3.   

Abstract

The current exposure-effect curves describing sandstorm PM10 exposure and the health effects are drawn roughly by the outdoor concentration (OC), which ignored the exposure levels of people's practical activity sites. The main objective of this work is to develop a novel approach to quantify human PM10 exposure by their socio-categorized micro-environment activities-time weighed (SCMEATW) in strong sandstorm period, which can be used to assess the exposure profiles in the large-scale region. Types of people's SCMEATW were obtained by questionnaire investigation. Different types of representatives were trackly recorded during the big sandstorm. The average exposure levels were estimated by SCMEATW. Furthermore, the geographic information system (GIS) technique was taken not only to simulate the outdoor concentration spatially but also to create human exposure outlines in a visualized map simultaneously, which could help to understand the risk to different types of people. Additionally, exposure-response curves describing the acute outpatient rate odds by sandstorm were formed by SCMEATW, and the differences between SCMEATW and OC were compared. Results indicated that acute outpatient rate odds had relationships with PM10 exposure from SCMEATW, with a level less than that of OC. Some types of people, such as herdsmen and those people walking outdoors during a strong sandstorm, have more risk than office men. Our findings provide more understanding of human practical activities on their exposure levels; they especially provide a tool to understand sandstorm PM10 exposure in large scale spatially, which might help to perform the different categories population's risk assessment regionally.

Entities:  

Keywords:  Geographic information system (GIS); Large-scale spatial exposure assessment; Particle matter (PM10); Socio-categorized micro-environment activities-time weighed (SCMEATW)

Mesh:

Year:  2018        PMID: 29644617     DOI: 10.1007/s11356-018-1841-5

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  20 in total

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Authors:  Ralph J Delfino; Penelope J E Quintana; Josh Floro; Victor M Gastañaga; Behzad S Samimi; Michael T Kleinman; L-J Sally Liu; Charles Bufalino; Chang-Fu Wu; Christine E McLaren
Journal:  Environ Health Perspect       Date:  2004-06       Impact factor: 9.031

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Journal:  Environ Health Perspect       Date:  2020-06-26       Impact factor: 9.031

  1 in total

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