title: Indicators for Environment Health Risk Assessment in the Jiangsu Province of China.
abstract: According to the framework of "Pressure-State-Response", this study established an indicator system which can reflect comprehensive risk of environment and health for an area at large scale. This indicator system includes 17 specific indicators covering social and economic development, pollution emission intensity, air pollution exposure, population vulnerability, living standards, medical and public health, culture and education. A corresponding weight was given to each indicator through Analytical Hierarchy Process (AHP) method. Comprehensive risk assessment of the environment and health of 58 counties was conducted in the Jiangsu province, China, and the assessment result was divided into four types according to risk level. Higher-risk counties are all located in the economically developed southern region of Jiangsu province and relatively high-risk counties are located along the Yangtze River and Xuzhou County and its surrounding areas. The spatial distribution of relatively low-risk counties is dispersive, and lower-risk counties mainly located in the middle region where the economy is somewhat weaker in the province. The assessment results provide reasonable and scientific basis for Jiangsu province Government in formulating environment and health policy. Moreover, it also provides a method reference for the comprehensive risk assessment of environment and health within a large area (provinces, regions and countries).
authors.affiliation: State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Resources Research, CAS, Beijing 100101, China. zhangsj@lreis.ac.cn.|Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China. zhangsj@lreis.ac.cn.
authors.forename: Shujie
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China. wei.zhengzheng@prcee.org.
authors.forename: Zhengzheng
authors.initials: Z
authors.lastname: Wei
authors.affiliation: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China. liuwl@radi.ac.cn.
authors.forename: Wenliang
authors.initials: W
authors.lastname: Liu
authors.affiliation: State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Resources Research, CAS, Beijing 100101, China. yaoling@lreis.ac.cn.
authors.forename: Ling
authors.initials: L
authors.lastname: Yao
authors.affiliation: Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China. Suo.wenyu@prcee.org.
authors.forename: Wenyu
authors.initials: W
authors.lastname: Suo
authors.affiliation: Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China. Xing.Jingjing@prcee.org.
authors.forename: Jingjing
authors.initials: J
authors.lastname: Xing
authors.affiliation: Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China. Huang.bignzhao@prcee.org.
authors.forename: Bingzhao
authors.initials: B
authors.lastname: Huang
authors.affiliation: Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China. Jin.di@prcee.org.
authors.forename: Di
authors.initials: D
authors.lastname: Jin
authors.affiliation: Policy Research Center for Environment and Economy, Ministry of Environmental Protection, Beijing 100029, China. wang.jiansheng@prcee.org.
authors.forename: Jiansheng
authors.initials: J
authors.lastname: Wang
mesh_terms: D002681:China / Q000453:epidemiology; D004777:Environment; D004784:Environmental Monitoring; D004787:Environmental Pollution / Q000032:analysis*; D006305:Health Status Indicators; D006801:Humans; D018570:Risk Assessment; D045483:Rivers
keywords: analytical hierarchy process; comprehensive risk of environment and health; pressure-state-response