4.7 Article

Spatial and temporal variations of spring dust emissions in northern China over the last 30 years

Journal

ATMOSPHERIC ENVIRONMENT
Volume 126, Issue -, Pages 117-127

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2015.11.052

Keywords

Wind erosion; Integrated wind erosion modeling system; Spatial-temporal patterns; Human activities; Climate change

Funding

  1. Ministry of Science and Technology of China [2013CB956300]
  2. National Natural Science Foundation of China [41401107]

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Dust emissions caused by wind erosion have significant impacts on land degradation, air quality, and climate change. Dust from the arid and semiarid regions of China is a main contributor to atmospheric dust aerosols in East Asia, and their impacts can stretch far beyond the territory of China. Spatial temporal patterns of dust emissions in China over the last several decades, however, are still lacking, especially during the spring season. In this study, we simulated the spatial-temporal dynamics of spring dust emissions from 1982 to 2011 in arid and semi-arid areas of China using the Integrated Wind Erosion Modeling System. Results showed that the most severe dust emission events occurred in the Taklimakan Desert, Badain Jaran Desert, Tengger Desert, and Ulan Buh Desert. Over the last three decades, the magnitude of spring dust emissions generally decreased at the regional scale, with an annual spring dust emission of similar to 401.10 Tg. Among different vegetation types, the highest annual spring dust emission occurred in the desert steppes (similar to 163.95 Tg), followed by the deserts (similar to 103.26 Tg). The dust emission intensity in the desert steppes and the deserts was similar to 150.83 kg km(-2).yr(-1) and similar to 205.46 kg km(-2).yr(-1), respectively. The spatial patterns of the inter-decadal variation are related to climate change and human activities. Mitigation strategies such as returning farmland to grassland, fenced grazing, and adequate grass harvesting, must be taken to prevent further soil losses and grassland degradation in northern China. (C) 2015 Elsevier Ltd. All rights reserved.

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