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Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM_(2.5) data

机译:利用高分辨率的卫星和地面测量的PM_(2.5)数据分析中国细颗粒物浓度的时空趋势

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摘要

Atmospheric fine particulate matters (PM2.5) have raised global concerns because of their markedly adverse effects on public health and environmental quality. In parallel with technological variations and social changes in the evolving industrialization pathways in China, there is an acute need to evaluate the long-term spatio-temporal trend of PM2.5 concentrations across China after years of elevation. Toward this end, an integrated high-resolution satellite-derived (1998-2016) and ground-measured (2015-2017) PM2.5 data base was applied. Satellite-derived annual mean PM2.5 grids were firstly validated via comparison with collocated surface in situ PM2.5 measurements and were then used for trend analyses. The estimated linear trends from gridded PM2.5 data indicated that PM2.5 concentrations in China increased mainly before 2008 and have decreased since then, with prominent decreases observed primarily in south China. To corroborate the satellite-based PM2.5 trend estimations, surface in situ PM2.5 measurements from the period from 2015 to 2017 were applied to further evaluate the decreasing rate after 2014, at which time the Chinese "Air Pollution Prevention and Control Action Plan" was enforced. The results revealed that the national mean PM(2.5)concentrations decreased by about 6.5 mu g/m(3) from 2015 to 2017, with prominent decreases (by a rate of 5-10 mu g/m(3) per year) observed primarily associated with largePM(2.5) concentrations in Central China, North China, Northeast China, and East China during the period from October to December. Our systematic trend assessment provides a deepened understanding of PM2.5 variations across China in the past few years in association with the newly promoted action plan and offers a brief guideline for relevant policy making in the future.
机译:大气细颗粒物(PM2.5)由于对公共卫生和环境质量有明显不利影响而引起了全球关注。随着中国不断发展的工业化道路中的技术变化和社会变革,迫切需要评估海拔高度升高后中国PM2.5浓度的长期时空趋势。为此,应用了集成的高分辨率卫星(1998-2016年)和地面测量(2015-2017年)PM2.5数据库。首先通过与并置的地面原位PM2.5测量值进行比较来验证卫星衍生的PM2.5年平均网格,然后将其用于趋势分析。根据栅格化PM2.5数据估算的线性趋势表明,中国的PM2.5浓度主要在2008年之前增加,此后一直下降,主要在华南地区出现显着的下降。为了证实基于卫星的PM2.5趋势估算,从2015年到2017年进行了地表原位PM2.5测量,以进一步评估2014年以后的下降率,当时中国采取了“空气污染防治行动”。计划”已执行。结果显示,从2015年到2017年,全国平均PM(2.5)浓度下降了约6.5μg / m(3),观察到显着下降(每年5-10μg / m(3)的速率)主要与10月至12月期间华中,华北,东北和华东的PM(2.5)浓度高有关。我们的系统趋势评估结合新近推出的行动计划,对过去几年中中国PM2.5的变化有了更深入的了解,并为将来的相关政策制定提供了简要指南。

著录项

  • 来源
    《Journal of Environmental Management》 |2019年第1期|530-542|共13页
  • 作者单位

    East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China|East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China;

    East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China|East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China;

    Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA;

    East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China|East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China|Colorado State Univ, USDA UV B Monitoring & Res Program, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA|Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air quality; PM2.5; Fine particulate matter; Emission control; Trend analysis;

    机译:空气质量PM2.5细颗粒物排放控制趋势分析;

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