| 基于2015～2018年实时监测数据对关中平原城市群PM2.5时空变化规律的研究 |
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| 引用本文： | 康博,刘强,赵强.基于2015～2018年实时监测数据对关中平原城市群PM2.5时空变化规律的研究[J].地球与环境,2020,48(2):161-170. |
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| 作者姓名： | 康博 刘强 赵强 |
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| 作者单位： | 1. 天水师范学院 资源与环境工程学院, 甘肃 天水 741000;2. 四川农业大学 资源学院, 成都 610000;3. 中国科学院 水利部 水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西 杨凌 712100 |
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| 基金项目： | 甘肃省科技计划—自然科学基金项目（18JR3RE244）;甘肃省高等学校科研项目基金项目（2018A-078）;天水师范学院中青年教师科研项目基金项目（YB2017-03）;天水师范学院校级教学研究项目基金项目（SYJY201703）;天水师范学院校级创新教学团队基金项目阶段性研究成果。 |
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| 摘 要： | 为了解关中平原城市群PM2.5时空变化规律,利用2015～2018年国家空气质量检测平台发布的PM2.5实时监测数据,并用地统计学和探索性空间数据分析等方法,对关中平原城市群PM2.5污染的时空变化规律进行分析。结果表明,关中平原城市群PM2.5污染总体呈向好趋势,PM2.5年均超标城市由11个减少到8个,年均浓度超标率显著下降。PM2.5污染主要出现在冬季,春秋季过渡,夏季PM2.5浓度季度均值、月均值都最低,PM2.5日均值曲线与月均值曲线大致趋势一致,呈单峰"脉冲型"变化;PM2.5污染在空间上具有明显的分异性和集聚性特征,表现出"临汾-咸阳"为轴的高污染区面积逐渐缩小,而以平凉、天水为中心的低污染区面积逐渐扩大的空间变化规律。
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| 关 键 词： | PM2.5 时空变化规律 关中平原城市群 地统计学 |
| 收稿时间： | 2019/6/5 0:00:00 |
| 修稿时间： | 2019/9/3 0:00:00 |
Spatiotemporal Variations of PM2.5 in the Urban Agglomeration of the Guanzhong Plain Based on Real-time Monitoring Date during 2015-2018 |
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| KANG Bo,LIU Qiang,ZHAO Qiang.Spatiotemporal Variations of PM2.5 in the Urban Agglomeration of the Guanzhong Plain Based on Real-time Monitoring Date during 2015-2018[J].Earth and Environment,2020,48(2):161-170. |
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| Authors: | KANG Bo LIU Qiang ZHAO Qiang |
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| Institution: | 1. College of resources and environmental engineering, Tianshui Normal university, Tianshui Gansu 741000, China;2. College of resources, Sichuan Agricultural University, Chengdu 610000, China;3. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling Shaanxi 712100, China |
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| Abstract: | Based on the real-time monitoring data of PM2.5 released by the National Air Quality Testing Platform from 2015 to 2018, this paper explored the spatiotemporal variations of PM2.5 in 11 prefecture-level cities in the Urban Agglomeration of the Guanzhong Plain by using methods of geostatistics and exploratory spatial data analysis. The results indicated that: the PM2.5 pollution in the Urban Agglomeration of the Guanzhong Plain showed a decreasing trend, the number of cities whose average annual rate of PM2.5 exceeded the air quality standard reduced from 11 to 8, dropped significantly. The PM2.5 pollution in the study area mainly occurred in winter, sometimes in spring and autumn, and the concentration of PM2.5 in summer was least. The daily mean curve of PM2.5 was quite similar to the general monthly mean curve of PM2.5, both showed a single-peak "pulse type" variation. The PM2.5 pollution in the Urban Agglomeration of the Guanzhong Plain showed the spatial characteristics of both differentiation and agglomeration, that is the high-pollution area of "Linfen-Xianyang" decreased gradually and the low-pollution area of "Pingliang-Tianshui" increased gradually. |
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| Keywords: | PM2 5 spatio-temporal variations the urban agglomeration of Guanzhong Plain geostatistics |
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