环境与生态

杭州城市空气污染物空间分布及其影响因子的定量分析

展开
  • 1. 浙江大学城市规划工程与信息技术研究所,杭州 310058;
    2. 杭州市环境监测中心站,杭州 310018
王伟武(1972-),男,浙江永康人,博士,副教授。主要从事环境遥感与规划信息技术应用等方面研究。E-mail :weiwuwang@zju.edu.cn

收稿日期: 2007-09-11

  修回日期: 2007-12-02

  网络出版日期: 2008-03-25

基金资助

国家自然科学基金资助项目(40201021);浙江省自然科学基金资助项目(M403040);国家高技术研究发展计划(863 计划) 探索导向类资助项目(2007AA12Z239763)

A quantitative analysis on spatial distribution of the pollutants in the urban air and their impact factors based on geostatistics and GIS: A case study of Hangzhou city

Expand
  • 1. Institute of Urban Planning Engineering and Information Technology, Zhejiang University, Hangzhou 310058, China;
    2. Hangzhou Environment Monitoring Center Station, Hangzhou 310018,China

Received date: 2007-09-11

  Revised date: 2007-12-02

  Online published: 2008-03-25

Supported by

国家自然科学基金资助项目(40201021);浙江省自然科学基金资助项目(M403040);国家高技术研究发展计划(863 计划) 探索导向类资助项目(2007AA12Z239763)

摘要

以乡镇、街道为基本空间统计单元,基于地统计方法、GIS和遥感技术绘制和计算了杭州城市人口密度、道路面积比例、建设用地比重、NDVI和地表温度的空间图层,并应用GIS空间数据相关分析和空间叠加方法,定量评价了SO2、NO2、O3的空间分布与城市人口密度、建设用地比重、道路用地比例、地表温度等影响因子的空间相关程度和总体污染水平的分布特征。结果表明:NOX的空间分布受道路比例、地表温度、城镇建设用地、人口密度的影响程度最大,SO2次之,O3最小。SO2受工业用地分布影响较大,O3为二次污染物,其空间分布受其他因素影响相对较小。杭州市室外空气的总体污染程度,主要集中在上城、下城、拱墅,江干区次之,西湖区污染程度较轻。城市空气污染物浓度空间分布及受其他因素影响程度的定量分析可以为不同城市地域有针对性地制定合理的空气污染缓减对策提供科学依据。

本文引用格式

王伟武, 陈 超 . 杭州城市空气污染物空间分布及其影响因子的定量分析[J]. 地理研究, 2008 , 27(2) : 241 -250 . DOI: 10.11821/yj2008020001

Abstract

Urban air pollution is produced in the process of all kinds of human activities such as industrial production, living and traffic. Rapid urbanization processes result in the increasing of the kinds and concentration of the pollutants in the air of built-up area. By taking streets and towns as the basic spatial analysis unit, the concentrations of sulfur dioxide, ozone nitrogen dioxide and some factors influencing urban air pollutions in Hangzhou such as population density, percentage of road area,built-up area,surface temperature and NDVI are mapped and computed based on ordinary kriging, GIS and RS in this paper. The relativity between the concentration of three pollutants and their influencing factors are quantitatively evaluated by integrating spatial correlation analysis, and the characteristics are obtained by overlay of the ranked data layers. The results show that in downtown (including Shangcheng, Xiacheng, Gongshu), Xihu and Jianggan, the spatial relativity between three air pollutiants and their impact factors have spatial heterogeneity. Among the three pollutions, the spatial distributiants of NO2 is firstly influenced by the distribution of impact factors; SO2 is secondly, and O3 is thirdly. The overall degree of air pollution outdoor in Hangzhou is the highest in downtown and the lowest in Xihu. The strong spatial heterogeneity is the main characteristic of the distribution of the air pollutants in the built-up area.The two main aims of the quantitative analysis on spatial distribution of urban air pollutions and their influence from other factors are to provide the scientific basis for establishing pertinently the reasonable countermeasures to mitigate urban air pollution and putting forward the effective measures for the prevention and control of air pollution.

参考文献


[1] Payn T W, Hill R B, Hock B K.Potential for the use of GIS and spatial analysis techniques as tools for monitoring changes in forest productivity and nutrition: A New Zealand example. Forest Ecology and Management, 1999,122(1):187~196.

[2] 王正军,程家安,史舟.早稻二化螟一代卵块的区域性空间分布格局及动态.浙江大学学报(农业与生命科学版),2000,26(5):465~473.

[3] Facchinelli A, Sacchi E, Mallen L.Multivariate statistical and GIS-based approach to identify heavy metal sources in soils. Environmental Pollution, 2001,114(3): 313~324.

[4] 唐涛,蔡庆华.地统计学在淡水生态学中的应用.2000,12(3):280~288.

[5] Zhu H C, Charlet J M, Poffijn A. Radon risk mapping in southern Belgium:An application of geostatistical and GIS techniques. The Science of the Total Environment, 2001,272:203~210.

[6] 郭旭东,傅伯杰,陈利顶.河北省遵化平原土壤养分的时空变异特征:变异函数与Kriging插值分析.2000,55(5):555~566.

[7] 王伟军.用地理信息系统和地统计学估计立地指数.国外林业, 1997,27(1):35~38,45.

[8] 刘付程,史学正,于东升.太湖流域典型地区土壤全氮的空间变异特征.地理研究, 2004, 23(1):63~70.

[9] 杜国明,张树文,张有全. 城市人口分布的空间自相关分析:以沈阳市为例.地理研究,2007,26(2):383~390.

[10] 王霞,朱道林.地统计学在都市房价空间分布规律研究中的应用:以北京市为例.中国软科学, 2004,6:152~155,108.

[11] 王伟武.杭州城市生活质量的定量研究.地理学报,2005, 60(1):151~157.

[12] 杭州市环境监测中心站. 杭州市空气监测点位扩充优选研究.2001.

[13] 国家环境保护总局.环境空气质量手工监测技术规范(HJ/T194-2005). 2005.

[14] Geol N S, Norman J M. Biospheric models, measurements, and remote sensing of vegetation. International Journal of Remote Sensing, 1992, 47: 163~188.

[15] Roth M, Oke T R, Emery W J. Satellite derived urban heat islands from three coastal cities and the utilization of such data in urban climatology. International Journal of Remote Sensing, 1989, 10: 1699~1720.

[16] Malaret E, Bartolucci L A, Lozano D F. Landsat-4 and Landsat-5 thematic mapper data quality analysis . Photogrammetric Engineering and Remote Sensing, 1985, 51:1407~1416.

文章导航

/