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首页> 外文期刊>The Science of the Total Environment >Temporal and spatial variation relationship and influence factors on surface urban heat island and ozone pollution in the Yangtze River Delta, China
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Temporal and spatial variation relationship and influence factors on surface urban heat island and ozone pollution in the Yangtze River Delta, China

机译：长江三角洲城市地表热岛和臭氧污染的时空变化关系及影响因素

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摘要

Urbanization has led to an obvious urban heat island (UHI) effect in the Yangtze River Delta (YRD), China. The ozone (O3) pollution in the YRD is getting worse. The UHI effect is a key factor that affects the O3level. Understanding the influences of the UHI effect on O3concentrations is necessary for improving air quality. In this study, the temporal and spatial relationship between UHI and O3in the YRD during 2015 was investigated. The influence factors of UHI effect and O3are both natural and artificial. Multi-source remote sensing data, which include land cover, land surface temperature (LST), Normalization Difference Vegetation Index (NDVI), and digital elevation model (DEM) data, were used to extract surface landscape elements. The results showed that: (1) the average hourly O3concentration was 61.83 μg/m3(30.92 ppb), the highest value was 105.32 μg/m3(52.66 ppb) at 15:00 and the O3peak was 82.50 μg/m3(41.25 ppb) in September. The O3concentrations and temperature have a similar variation trend both in diurnal and monthly. The O3concentrations in coastal stations are higher than those inland. (2) The average daytime UHI intensity was 1.24 °C, and the daytime O3concentration was 80.66 μg/m3(40.33 ppb). There is a positive relationship between UHI and O3in the YRD. The relationship in the central developed cities is higher than that in the northern and southern cities. (3) The related factors influencing UHI and O3include surface landscape, topography and population. The LST and NDVI are most important among these factors. (4) Due to various geographical backgrounds, the UHI intensities and O3concentrations show obvious spatial differences. This study provides a reference with which to better understand the relationship among UHI, O3and related factors. Furthermore, the issues of atmospheric and energy transmission in this region deserve further study.
机译：城市化已导致中国长江三角洲（YRD）出现明显的城市热岛效应（UHI）。长三角地区的臭氧（O3）污染越来越严重。 UHI效应是影响O3水平的关键因素。了解UHI效应对O3浓度的影响对于改善空气质量是必要的。在这项研究中，调查了2015年长三角地区UHI和O3之间的时空关系。 UHI效应和O3的影响因素是自然的和人为的。多源遥感数据，包括土地覆盖，土地表面温度（LST），归一化差异植被指数（NDVI）和数字高程模型（DEM）数据，被用于提取地表景观要素。结果表明：（1）每小时平均O3浓度为61.83μg/ m3（30.92 ppb），最高值为15:00时为105.32μg/ m3（52.66 ppb），O3peak为82.50μg/ m3（41.25 ppb）在九月。每日和每月的O3浓度和温度都有相似的变化趋势。沿海站的O3浓度高于内陆站。 （2）日间UHI平均强度为1.24 C，日间O3浓度为80.66μg/ m3（40.33 ppb）。长三角地区的UHI和O3之间存在正相关关系。中部发达城市的关系高于北部和南部城市。 （3）影响UHI和O3的相关因素包括地表景观，地形和人口。在这些因素中，LST和NDVI最重要。 （4）由于地理背景的不同，UHI强度和O3浓度表现出明显的空间差异。该研究为更好地了解UHI，O3与相关因素之间的关系提供了参考。此外，该区域的大气和能量传输问题值得进一步研究。

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  • 来源
    《The Science of the Total Environment》 |2018年第1期|921-933|共13页
  • 作者

    Yuanyuan Wang; Hongyu Du; Yanqing Xu; Debin Lu; Xiyuan Wang; Zhongyang Guo;

  • 作者单位

    Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University,School of Geographic Sciences, East China Normal University;

    Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University,Department of Environmental Science, East China Normal University;

    Department of Geography and Planning, The University of Toledo;

    Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University,School of Geographic Sciences, East China Normal University;

    Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University,School of Geographic Sciences, East China Normal University;

    Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University,School of Geographic Sciences, East China Normal University;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Surface urban heat island; Ozone; NO2; Land surface parameters;

    机译：城市地表热岛臭氧NO2地表参数;

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