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中国关中盆地城市尘,第一部分:利用卫星数据获取的尘源区域分布。

Urban dust in the Guanzhong Basin of China, part I: A regional distribution of dust sources retrieved using satellite data.

机构信息

Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Department of Atmospheric Science, National Taiwan University, Taipei 10617, Taiwan.

出版信息

Sci Total Environ. 2016 Jan 15;541:1603-1613. doi: 10.1016/j.scitotenv.2015.10.063. Epub 2015 Oct 27.

Abstract

Urban dust pollution has been becoming an outstanding environmental problem due to rapid urbanization in China. However, it is very difficult to construct an urban dust inventory, owing to its small horizontal scale and strong temporal/spatial variability. With the analysis of visual interpretation, maximum likelihood classification, extrapolation and spatial overlaying, we quantified dust source distributions of urban constructions, barrens and croplands in the Guanzhong Basin using various satellite data, including VHR (0.5m), Lansat-8 OLI (30 m) and MCD12Q1 (500 m). The croplands were the dominant dust sources, accounting for 40% (17,913 km(2)) of the study area in summer and 36% (17,913 km(2)) in winter, followed by barrens, accounting for 5% in summer and 10% in winter. Moreover, the total constructions were 126 km(2), including 84% of active and 16% inactive. In addition, 59% of the constructions aggregated on the only megacity of the study area, Xi'an. With high accuracy exceeding 88%, the proposed satellite-data based method is feasible and valuable to quantify distributions of dust sources. This study provides a new perspective to evaluate regional urban dust, which is seldom quantified and reported. In a companied paper (Part-2 of the study), the detailed distribution of the urban dust sources is applied in a dynamical/aerosol model (WRF-Dust) to assess the effect of dust sources on aerosol pollution.

摘要

由于中国城市化进程的快速发展,城市灰尘污染已成为一个突出的环境问题。然而,由于其水平尺度小且具有很强的时空变异性,构建城市灰尘清单非常困难。通过对视觉解释、最大似然分类、外推和空间叠加的分析,我们利用各种卫星数据(包括高分辨率(0.5 米)、Landsat-8 OLI(30 米)和 MCD12Q1(500 米)),定量了关中盆地城市建筑、荒地和农田的灰尘源分布。农田是主要的灰尘源,夏季占研究区的 40%(17913 平方公里),冬季占 36%(17913 平方公里),其次是荒地,夏季占 5%,冬季占 10%。此外,总建筑面积为 126 平方公里,其中包括 84%的活跃建筑和 16%的非活跃建筑。此外,59%的建筑集中在研究区唯一的特大城市西安。基于卫星数据的方法具有很高的准确性(超过 88%),是一种可行且有价值的量化灰尘源分布的方法。这项研究为评估区域城市灰尘提供了一个新的视角,而区域城市灰尘很少被量化和报道。在伴随的论文(研究的第二部分)中,详细的城市灰尘源分布被应用于动态/气溶胶模型(WRF-Dust)中,以评估灰尘源对气溶胶污染的影响。

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