中国化学品环境暴露评估领域的综合区划

杨朴非, 秦孟, 刘丽艳, 周林军, 刘济宁, 石利利, 李一凡

中国环境科学 ›› 2020, Vol. 40 ›› Issue (9) : 4115-4122.

PDF(776 KB)
PDF(776 KB)
中国环境科学 ›› 2020, Vol. 40 ›› Issue (9) : 4115-4122.
环境影响评价与管理

中国化学品环境暴露评估领域的综合区划

  • 杨朴非1, 秦孟1, 刘丽艳1, 周林军2, 刘济宁2, 石利利2, 李一凡1
作者信息 +

Comprehensive regionalization of China for the assessment of chemical environmental exposure

  • YANG Pu-fei1, QING Meng1, LIU Li-yan1, ZHOU Lin-jun2, LIU Ji-ning2, SHI Li-li2, LI Yi-fan1
Author information +
文章历史 +

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.

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.

关键词

地理信息系统 / 环境暴露 / 聚类算法 / 全国范围 / 综合分区

Key words

clustering algorithm / comprehensive regionalization / environmental exposure / geographic information system / nationwide

引用本文

导出引用
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
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
中图分类号: X321   

参考文献

[1] Hommeyer H G. Beiträge zur Militair-Geographie der Europäischen Staaten[M]. Korn d. Ält., 1805.
[2] Webster E, Mackay D, Di Guardo A, et al. Regional differences in chemical fate model outcome[J]. Chemosphere, 2004,55(10):1361-1376.
[3] Hollander A, Pistocchi A, Huijbregts M A J, et al. Substance or space? The relative importance of substance properties and environmental characteristics in modeling the fate of chemicals in Europe[J]. Environmental Toxicology and Chemistry, 2009,28(1):44-51.
[4] 刘军会,傅小锋.关于中国可持续发展综合区划方法的探讨[J]. 中国人口资源与环境, 2005,15(4):11-16. Liu H J, Fu X F. Discussion on method of China's sustainable develepoment integrated regional planning[J]. China Population Resources and Environment, 2005,15(4):11-16.
[5] 杨小林,顾令爽,李义玲.基于动态综合评价的区域环境风险差异化管理[J]. 中国环境科学, 2018,38(6):2382-2391. Yang X, Gu L, Li Y, DU Jiu-sheng. Differentiated management strategies for the regional environmental risk based on dynamic comprehensive assessment. China Environment Science, 2018,38(6):2382-2391.
[6] 刘靖,单春艳,梁晓宇.唐山市基于GIS的PM2.5空间聚集性及分区管控[J]. 中国环境科学, 2020,40(2):513-522. Liu J, Shan C Y, Liang X Y. Research on spatial aggregation of PM2.5 and zoning control in Tangshan based on GIS[J]. China Environment Science, 2020,40(2):513-522.
[7] 程麟钧,王帅,宫正宇,等.中国臭氧浓度的时空变化特征及分区[J]. 中国环境科学, 2017,37(11):4003-4012. Cheng L J, Wang S, Gong Z J, et al. Spatial and seasonal variation and regionalization of ozone concentrations in China[J]. China Environment Science, 2017,37(11):4003-4012.
[8] Ning G, Wang S, Ma M, et al. Characteristics of air pollution in different zones of Sichuan Basin, China[J]. Science of the Total Environment, 2018,612:975-984.
[9] Zaki G, Shoeib T. Concentrations of several phthalates contaminants in Egyptian bottled water:Effects of storage conditions and estimate of human exposure[J]. Science of the Total Environment, 2018,618:142-150.
[10] Rudolph P R, Beate R. Historical pesticide exposure in California using pesticide use reports and land-use surveys:An assessment of misclassification error and bias[J]. Environmental Health Perspectives, 2003,111(13):1582-1589.
[11] Huang M, Deng S, Dong H, et al. Impacts of atmospheric mercury deposition on human multimedia exposure:Projection from Observations in the Pearl River Delta Region, South China[J]. Environmental Science & Technology, 2016,50(19):10625-10634.
[12] Rohat G, Flacke J, Dosio A, et al. Influence of changes in socioeconomic and climatic conditions on future heat-related health challenges in Europe[J]. Global and Planetary Change, 2019,172:45-59.
[13] Anil K J. Data clustering:50years beyond K-means[J]. Pattern Recognition Letters, 2010,(31):651-666.
[14] Yang X, Cui W. A novel spatial clustering algorithm based on delaunay triangulation[J]. Journal of Software Engineering and Applications, 2010,03(2):141-149.
[15] 张国平,赵琳娜,许凤雯,等.基于流域结构分析的中国流域划分方案[J]. 北京师范大学学报(自然科学版), 2010,(3):201-207. Zhang G P, Zhao X N, Xu F W, et al. Study on basin partition scheme of china based on basin structure analysis[J]. Journal of Beijing Normal University (Natural Science), 2010,(3):201-207.
[16] Jenson S K, Domingue J O. Extracting topographic structure from digital elevation data for geographic information system analysis. Photogrammetric Engineering and Remote[J]. Sensing, 1988,54:1593-1600.
[17] Fang C, Yu X, Liu H, et al. Comprehensive regionalization of human geography in China[J]. Acta Geographica Sinica, 2017,72(2):179.
[18] Collins A L, Stutter M, Kronvang B. Mitigating diffuse pollution from agriculture:International approaches and experience[J]. Science of the Total Environment, 2014,468-469:1173-1177.
[19] Abdelwahab O M M, Ricci G F, De Girolamo A M, et al. Modelling soil erosion in a Mediterranean watershed:Comparison between SWAT and AnnAGNPS models[J]. Environmental Research, 2018, 166:363-376.
[20] Karki R, Tagert M L M, Paz J O, et al. Application of AnnAGNPS to model an agricultural watershed in East-Central Mississippi for the evaluation of an on-farm water storage (OFWS) system[J]. Agricultural Water Management, 2017,192:103-114.
[21] Zema D A, Lucas-Borja M E, Carrà B G, et al. Simulating the hydrological response of a small tropical forest watershed (Mata Atlantica, Brazil) by the AnnAGNPS model[J]. Science of the Total Environment, 2018,636:737-750.
[22] Chen H, Luo Y, Potter C, et al. Modeling pesticide diuron loading from the San Joaquin watershed into the Sacramento-San Joaquin Delta using SWAT[J]. Water Research, 2017,121:374-385.
[23] Zhao F, Wu Y, Qiu L, et al. Parameter uncertainty analysis of the SWAT model in a mountain-loess transitional watershed on the Chinese Loess Plateau[J]. Water, Multidisciplinary Digital Publishing Institute, 2018,10(6):690.

基金

国家重点研发计划(2018YFC1801504);国家自然科学基金资助项目(21577030)

PDF(776 KB)

Accesses

Citation

Detail

段落导航
相关文章

/