首页> 外文会议>Asian conference on remote sensing;ACRS >EVALUATION LIGHT POLLUTION USING TIME-SERIES OF DMSP/OLS NIGHTTIME SATELLITE DATA DURING THE PAST 21 YEARS IN CHINA
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EVALUATION LIGHT POLLUTION USING TIME-SERIES OF DMSP/OLS NIGHTTIME SATELLITE DATA DURING THE PAST 21 YEARS IN CHINA

机译:利用过去21年间DMSP / OLS夜间卫星数据的时间序列评估光污染

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The rapid urbanization process and economy development inevitably brings the light pollution, it has become a widespread attention of the world's environmental issue. In order to reveal the spatiotemporal patterns of light pollution in china, Defense Meteorological Satellite Program Operational Linescan System(DMSL/OLS) imageries from 1992 to 2012 were selected and then these imageries are corrected to ensure the consistency. Furthermore, we employed the slope of the linear regression and nighttime light index methods to demonstrate the china's light pollution characteristic across national, partition and provincial scales respectively. We found that: (1) China's light pollution expanded significantly around provincial capital city during the past 21 years and hot-spots of china light pollution focused in eastern coastal region. Yangtze River Delta, Pearl River Delta and Beijing-Tianjin-Hebei region have formed light pollution stretch regions respectively. In addition, some urban cities in the north of Shanxi, the south of Inner Mongolia and Xinjiang showed the decreasing light pollution significantly.(2) China's light pollution main focused in north china (NC) and east china (EC) and the total nighttime light (TNL)of these two regions accounts for over 50% of the whole country. The fastest growth of light pollution was observed in the northwest china (NWC), followed by the southwest of china (SWC). The growth rate of east china (EC), middle china (MC) and northeast china (NEC) was stable, while that of north china (NC) and south china (SC) declined. (3)Light pollution at provincial scale mainly located in Shandong, Guangdong and Hebei province, and the fastest growth of light pollution was Tibet and Hainan provinces. However, light pollution lever in the developed provinces (Hongkong, Macao, Shanghai and Tianjin) were higher than that of undeveloped provinces. Similarly, the light pollution heterogeneities of Taiwan, Beijing and Shanghai were higher than that of western undeveloped provinces. This conclusion could support government agencies to take effective measures to deal with light pollution environment issue.
机译:快速的城市化进程和经济发展不可避免地带来了光污染,已成为世界环境问题的广泛关注。为了揭示中国光污染的时空格局,选取了1992年至2012年的国防气象卫星计划线扫描系统(DMSL / OLS)图像,并对这些图像进行校正以确保其一致性。此外,我们采用线性回归的斜率和夜间光照指数方法的斜率,分别证明了中国在国家,分区和省级尺度上的光污染特征。我们发现:(1)在过去的21年中,中国的光污染在省会城市附近大大扩展,中国光污染的热点集中在东部沿海地区。长江三角洲,珠江三角洲和京津冀地区分别形成了光污染延伸区。此外,山西北部,内蒙古南部和新疆的一些城市的光污染显着下降。(2)中国的光污染主要集中在华北(EC)和华东(EC)以及夜间总时间这两个区域的光(TNL)占全国的50%以上。在中国西北(NWC)观察到光污染的增长最快,其次在中国西南(SWC)。华东(EC),华中(MC)和东北(NEC)的增长率稳定,而华北(NC)和华南(SC)的增长率下降。 (3)省级轻污染主要分布在山东,广东和河北省,光污染增长最快的是西藏和海南省。但是,发达省份(香港,澳门,上海和天津)的光污染水平高于未发达省份。同样,台湾,北京和上海的光污染异质性高于西方不发达省份。这一结论可以支持政府机构采取有效措施应对光污染环境问题。

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