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2016-2017东北地区PM_(2.5)健康风险评价 被引量:3

PM_(2.5) Health Risk Assessment of Northeast China in 2016-2017
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摘要 颗粒物是我国大气污染物之一,具有颗粒小、输送距离远、使大气能见度降低和容易引起呼吸系统疾病的特点。本研究基于2016—2017年供暖期间东北地区34个地级城市总计162个国控监测站点的PM_(2.5)数据及同期的健康数据、气象数据、人口社会经济数据,采用了地理加权回归模型(GWR)分析方法研究了颗粒物、气象因子、人口社会经济因子对健康数据的影响并进行了评价,旨在结合气象因素、人口社会经济等因素,分析PM_(2.5)对人类健康状况的影响并对区域人类健康风险状况进行评价,为大气污染的防治和呼吸道疾病防控提供科学参考依据。 Particulate matter is one of main pollution sources of China,of which PM_(2.5)has characteristics it is including small volume,long transmission distance,the lower atmospheric visibility and easiness of causing respiratory system diseases.This research was based on PM_(2.5)datum in October 2016—April 2017 obtained by 162 State control monitoring sites of 34 prefecture-level cities in Northeast China,and health datum,meteorological datum and socio-economic datum of corresponding time period,to analyze the correlation of PM_(2.5),meteorological datum and socio-economic datum respectively with health datum by Geographically Weighted Regression.This study aims to analyzed its influence on human′s health;meanwhile making an assessment to human health condition of PM_(2.5),meteorological factors,and socio-economic factors,to provide scientific reference for preventing atmosphere pollution and respiratory diseases.
作者 刘鹏姣 张宁 蔡姬雯 LIU Pengjiao;ZHANG Ning;CAI Jiwen(The Second Surveying and Mapping Engineering in Heilongjiang Province,Harbin 150025,China;The Fifth Surveying,Mapping and Geographic Information Engineering Institute of Heilongjiang Province,Harbin 150081,China)
出处 《测绘与空间地理信息》 2021年第S01期122-125,128,共5页 Geomatics & Spatial Information Technology
关键词 PM_(2.5) 社会经济因子 地理加权回归模型 人类健康风险 PM_(2.5) socio-economic factors geographically weighted regression model human health risks
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