西安市大气污染物时空分布特征及其趋势评估  

TEMPORAL AND SPATIAL DISTRIBUTION AND POLLUTION TENDENCY ASSESSMENT OF ATMOSPHERIC POLLUTANT IN XI’AN CITY

作　　者：于英翠[1] 李利敏[1] 左亚杰 常来 刘思春[1] 梁圈社[1] 马爱生[1] YU Ying-cui;LI Li-min;ZUO Ya-jie;CHANG Lai;LIU Si-chun;LIANG Quan-she;MA Ai-shenga(College of Natural Resources and Environment,Northwest A＆F University,Yangling 712100,China;Office of Poverty Alleviation and Agricultural Development,Chengde 067000,China)

机构地区：[1]西北农林科技大学资源环境学院,陕西杨凌712100 [2]河北省围场满族蒙古族自治县扶贫与农业开发办公室,河北承德067000

出　　处：《环境工程》2018年第10期165-169,共5页Environmental Engineering

基　　金：国家自然科学基金面上项目(41471222)

摘　　要：近年来空气质量受到了人们的日益关注,然而目前尚缺乏针对西安市空气质量的系统分析。通过西安市2014—2017年环境监测的实时数据以及环境空气质量指数(AQI),可分析西安市雾霾天气的时空分布特征以及污染变化趋势。从年度变化看,西安市AQI呈现明显的单峰特征,取暖季重度污染和严重污染约占总天数的40%,PM_(2.5)作为首要污染物的天数增加到72 d,非取暖季2016年重度污染天数比2014年提高了4.4%。从空气污染物成分看,PM_(2.5)和PM_(10)的正相关性最强,而与臭氧则呈负相关关系。研究结果可预测未来几年污染趋势,为政府部门采取有针对性的大气污染治理措施提供了参考。In recent years, air quality has drawn increasing attention, however, there is still no systematic analysis of the air quality in Xi＇an. Based on the real-time data of environmental monitoring and the ambient air quality index（AQI） in Xi＇an from 2014 to 2017, the temporal and spatial distribution characteristics of haze weather and the change trend of pollution in Xi＇an were analyzed. From the whole year perspective, the AQI showed the characteristic of single peak. During the non heating season, the number of severe pollution days increased by 4.4%, compared with 2014 years. In heating season, the time of heavy pollution and severe pollution accounted for 40%. The duration of PM（2.5） as the primary pollutant increased to 72 days in 2016. Using the Pearson correlation coefficient, PM（2.5） and PM（10） showed the strongest correlation, while PM（2.5） showed negatively realtion to O3. This research provided a theoretical basis for forecasting pollution trends in the next few years, and air pollution control measures.

关 键 词：PM2.5 时空分布 相关性 

分 类 号：X51[环境科学与工程—环境工程]