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土地利用回归模型在大气污染时空分异研究中的应用
引用本文:吴健生,谢舞丹,李嘉诚.土地利用回归模型在大气污染时空分异研究中的应用[J].环境科学,2016,37(2):413-419.
作者姓名:吴健生  谢舞丹  李嘉诚
作者单位:北京大学城市规划与设计学院, 城市人居环境科学与技术重点实验室, 深圳 518055;北京大学城市与环境学院, 地表过程分析与模拟教育部重点实验室, 北京 100871;北京大学城市规划与设计学院, 城市人居环境科学与技术重点实验室, 深圳 518055;北京大学城市规划与设计学院, 城市人居环境科学与技术重点实验室, 深圳 518055;深圳市城市规划设计研究院, 城市发展与土地政策研究所, 深圳 518028
基金项目:国家自然科学基金项目(41330747);深圳市知识创新计划基础研究项目(20140827203227)
摘    要:随着城市化、工业化、机动化进程的加快,大气污染已成为我国最严重的环境问题之一,对公众健康和生态环境造成了诸多负面影响.土地利用回归,即Land-use Regression(LUR)模型是目前模拟城市尺度大气污染时空分异的常用方法之一,其在欧洲和北美得到广泛的应用,而在国内,相关研究却不多.本文在整理国内外文献的基础上,从构建LUR模型的主要步骤入手,包括监测数据获取、模型自变量生成、模型构建、模型检验和回归映射等方面,对LUR模型在大气污染时空分异研究中的进展进行归纳总结,进而展望了未来的研究重点与方向,即突出时空分异、扩展模型变量类别和改进模型构建方法.本文旨在普及LUR模型在我国的应用,为人口暴露、流行病学研究和健康风险评价等提供方法论基础.

关 键 词:土地利用回归(LUR)模型  大气污染  时空分异  GIS  研究进展
收稿时间:7/7/2015 12:00:00 AM
修稿时间:2015/10/6 0:00:00

Application of Land-use Regression Models in Spatial-temporal Differentiation of Air Pollution
WU Jian-sheng,XIE Wu-dan and LI Jia-cheng.Application of Land-use Regression Models in Spatial-temporal Differentiation of Air Pollution[J].Chinese Journal of Environmental Science,2016,37(2):413-419.
Authors:WU Jian-sheng  XIE Wu-dan and LI Jia-cheng
Institution:Key Laboratory for Urban Habitant Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China;Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environment Sciences, Peking University, Beijing 100871, China;Key Laboratory for Urban Habitant Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China;Key Laboratory for Urban Habitant Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China;Department of Urban Development and Land Policy, Urban Planning and Design Institute of Shenzhen, Shenzhen 518028, China
Abstract:With the rapid development of urbanization, industrialization and motorization, air pollution has become one of the most serious environmental problems in our country, which has negative impacts on public health and ecological environment. LUR model is one of the common methods simulating spatial-temporal differentiation of air pollution at city scale. It has broad application in Europe and North America, but not really in China. Based on many studies at home and abroad, this study started with the main steps to develop LUR model, including obtaining the monitoring data, generating variables, developing models, model validation and regression mapping. Then a conclusion was drawn on the progress of LUR models in spatial-temporal differentiation of air pollution. Furthermore, the research focus and orientation in the future were prospected, including highlighting spatial-temporal differentiation, increasing classes of model variables and improving the methods of model development. This paper was aimed to popularize the application of LUR model in China, and provide a methodological basis for human exposure, epidemiologic study and health risk assessment.
Keywords:land-use regression (LUR) model  air pollution  spatial-temporal differentiation  GIS  research progress
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