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中国化学品环境暴露评估领域的综合区划
引用本文:杨朴非,秦孟,刘丽艳,周林军,刘济宁,石利利,李一凡.中国化学品环境暴露评估领域的综合区划[J].中国环境科学,2020,40(9):4115-4122.
作者姓名:杨朴非  秦孟  刘丽艳  周林军  刘济宁  石利利  李一凡
作者单位:1. 哈尔滨工业大学城市水资源与环境国家重点实验室国际持久性有毒物质联合研究中心(IJRC-PTS), 黑龙江哈尔滨 150090;2. 生态环境部南京环境科学研究所, 江苏 南京 210042
基金项目:国家重点研发计划(2018YFC1801504);国家自然科学基金资助项目(21577030)
摘    要:大尺度空间(中国)化学品环境暴露多介质模型的建立需要先对空间做相应的区划.本文以ArcGIS软件为平台,通过有空间约束的聚类方法和水文分析方法相耦合,建立全国范围的综合分区.全国范围分为华南综合大区、华北综合大区、西北综合大区、华东综合大区、东北综合大区和西南综合大区6个综合大区.每个综合大区又分别包含了若干个综合小区,小区总数为38个.该研究为我国暴露评估的综合分区提供了一个方案,在多介质模型的建立中起着重要的作用.

关 键 词:环境暴露  全国范围  综合分区  聚类算法  地理信息系统  
收稿时间:2020-01-09

Comprehensive regionalization of China for the assessment of chemical environmental exposure
YANG Pu-fei,QING Meng,LIU Li-yan,ZHOU Lin-jun,LIU Ji-ning,SHI Li-li,LI Yi-fan.Comprehensive regionalization of China for the assessment of chemical environmental exposure[J].China Environmental Science,2020,40(9):4115-4122.
Authors:YANG Pu-fei  QING Meng  LIU Li-yan  ZHOU Lin-jun  LIU Ji-ning  SHI Li-li  LI Yi-fan
Institution:1. International Joint Research Center for Persistent Toxic Substances(IJRC-PTS), State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China;2. Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environmental, Nanjing 210042, China
Abstract:The development of a large-scale multi-media model for the assessment of chemical environmental exposure in China requires the corresponding regionalization of the country first. Based on spatially constrained clustering methods coupled with hydrological analysis methods, a nationwide comprehensive regionalization was achieved with ArcGIS software. This regionalization divided whole China into six comprehensive regions (CRs), including the South CR, North CR, Northwest CR, East CR, Northeast CR, and Southwest CR. Each of the six CRs again consisted of multiple small comprehensive regions, and there were a total of 38 such small regions in China. This study provided a useful method to conduct a nationwide regionalization, which could play an important role in the development of a large-scale multi-media models for the chemical exposure assessment in China.
Keywords:environmental exposure  nationwide  comprehensive regionalization  clustering algorithm  geographic information system  
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