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Han I.-Y.,Lanzhou Institute of Arid Meteorology of CMA | Han I.-Y.,Northwest Regional Climate Center | Zhang C.-J.,Northwest Regional Climate Center | Ma P.,Northwest Regional Climate Center | And 2 more authors.
2010 2nd Conference on Environmental Science and Information Application Technology, ESIAT 2010 | Year: 2010

Snow dynamic change is the hot issue of global climate change. Qilian Mountain located in the southern of Hexi Corridor, and is the sensitive and key area of climatic change in arid regions. Its snow's dynamic distribution has the important meaning to climatic change's influence and the response. Under the background of the climate warming, snow area of the Qilian Mountains has changed. This paper based on EOSIMODIS, NOAA data, climate data and snow area data, which were distilled by the linear and commixtured spectrum model. Spatial-temporal distribution of the Qilian Mountain snow, climate change and its response were monitored and analyzed. Results indicated that the total snow area of Qilian Mountain is waveform changes between 1997 and 2006, and has a linear increasing trend, but in the eastern and middle area of the Qilian Mountains, snow area has a reducing trend. Comparing climatic change and snow area change, we can found that the snow area of the eastern was consistent with the local climatic conditions, therefore ,the eastern snow of the Qilian Mountains were mostly influenced by local climatic conditions. ©2010 IEEE.


Han I.-Y.,Lanzhou Institute of Arid Meteorology of CMA | Han I.-Y.,Northwest Regional Climate Center | Han T.,Northwest Regional Climate Center | Ma P.,Northwest Regional Climate Center | Guo N.,Lanzhou Institute of Arid Meteorology of CMA
2010 2nd Conference on Environmental Science and Information Application Technology, ESIAT 2010 | Year: 2010

Wind erosion is an important environmental problem, thus researchers have used many methods to study it. The methods that have been used mainly involved theoretical analysis, experimental measurements under artificial conditions (e.g., in wind tunnels), and numerical simulations using a range of models. However, the results of these studies differ, and are not always satisfactory, particularly in terms of predicting behavior in natural environments, because of the simplifying assumptions required by these approaches or the use of insufficient data. In this paper, we used field data measured above different surfaces to analyze the vertical distribution of sand material in the near-surface layer (0 to 50 cm) and total sand transport. We were able to express sand material in near surface as a function of height as an exponential function. In the different surfaces, sand transport are different. In the shifting sand area, the transport is largest, and then cultivated land, semi-fixed dunes, fixed dunes, last is shrub. In the cultivated land, large sand transport caused serious loss of majority of the fertile soil elements and caused surface land desertification. ©2010 IEEE.

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