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Identification of Dust Hot Spots from Multi-Resolution Remotely Sensed Data in Eastern China and Mongolia

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Abstract

Aeolian dust from hot spots in eastern China and Mongolia can be carried downwind to provinces in China, neighboring countries, the Pacific islands, and cities far beyond the source region. Although dust sources of huge extent have been identified in several countries, few effective countermeasures are available to combat dust emissions in arid regions. We analyzed Moderate Resolution Imaging Spectroradiometer (MODIS) images (1 km spatial resolution) that captured dust emission and dispersion during 2000–2013 to determine dust sources in eastern China and Mongolia. MODIS level 1B data and the brightness temperature difference (BTD) algorithm provided efficient discrimination of dust in this study. The derived dust information, in conjunction with the MODIS land cover product (1 km spatial resolution) and high-resolution Landsat data (30 m spatial resolution; Landsat 8, Operational Land Imager sensor) were used to identify the locations and specific sources of dust. Dust emissions appear to be sporadic in time and space, controlled by both environmental factors and human activity, although past studies have indicated that many dust emissions are from consistently active hot spots. Analysis of MODIS data indicated that three subregions of the eastern China and Mongolia source region are the dominant sources of dust: Horqin Sandy Land, Otintag Sandy Land, and the southeastern Mongolian Gobi; each of these subregions contains dust emission hot spots. We identified the locations of consistent hot spots and verified that some individual dust emissions originated from those hot spots. Our data also indicated that hot spots in southeastern Mongolia have migrated northward since 2006. Our study showed that hot spots such as dry lakes, river beds, mines, and croplands contribute to dust emissions in the eastern China and Mongolia source region. Dust hot spots coincide with regions of expanding industry in Otintag Sandy Land and in some areas of the Mongolian Gobi and with agricultural areas in Horqin Sandy Land and in some parts of the Mongolian Gobi. In Horqin and Otintag sandy lands, dust sources are associated with ephemeral water bodies. Water conservation can be an important countermeasure for initial dust emissions in the Horqin Sandy Land. In the Otintag Sandy Land, attention should be paid to human activities, for example, minimizing the effects of mining disturbances, improving dust suppression in industrial areas, and controlling water use by industry. In Mongolia, protective farming techniques and water conservation in dust emitting basins, and dust suppression and water resource protection in mining zones, must be considered to combat dust emission. MODIS level 1B data can be used to locate dust hot spots and to identify future sources of dust entrainment. Dust hot spots identified from MODIS level 1B data provide small-scale information about dust emission that can be used to locate pollution hot spots, increase understanding of the global dust cycle, and improve dust modeling.

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Acknowledgments

The authors gratefully acknowledge financial support from the National Natural Science Foundation of China (Grant Nos. 41261048 and 40961014) and Inner Mongolia Normal University (Scientific Research Fund for Talented Scholars, Grant No. GCRC09003). We thank the Arid Land Research Center of Tottori University for providing the authors with opportunities for collaborative research and for hosting project meetings in Japan. We thank the following data providers: LAADS Web, NASA for the MODIS level 1B products, and the US Geological Survey for land cover type product and Landsat data. We thank Professor Brent Holben for his effort in establishing and maintaining Inner Mongolia site.

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  1. College of Chemistry and Environmental Sciences, Inner Mongolia Normal University, Hohhot, 010020, People’s Republic of China

    Baolin Zhang

  2. Arid Land Research Center, Tottori University, Hamasaka, 1390, Tottori, 680-0001, Japan

    Atsushi Tsunekawa

  3. Institute for Soil, Climate and Water, Agricultural Research Council, Private Bag X79, Pretoria, 0001, South Africa

    Mitsuru Tsubo

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Zhang, B., Tsunekawa, A. & Tsubo, M. Identification of Dust Hot Spots from Multi-Resolution Remotely Sensed Data in Eastern China and Mongolia. Water Air Soil Pollut 226, 117 (2015). https://doi.org/10.1007/s11270-015-2300-2

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