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淄博市近30年降水及气温分区县特征分析 被引量:2
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作者 姜冬梅 卢兆民 《山东气象》 2007年第2期28-30,共3页
利用淄博市1971—2000年的历年逐月降水和气温资料,分析了淄博市五区三县的降水及气温时空变化特征。发现:淄博市的降水和气温不仅随着年代发生变化,而且在地域分布上也存在较大差异。
关键词 降水 气温 分区县 特征
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Human Driving Forces:Analysis of Rocky Desertification in Karst Region in Guanling County,Guizhou Province 被引量:20
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作者 WU Xiuqin LIU Hongmeng +1 位作者 HUANG Xiulan ZHOU Tao 《Chinese Geographical Science》 SCIE CSCD 2011年第5期600-608,共9页
Karst rocky desertification is one of the major ecological and environmental problems that threaten the sustainable development of southwestern China. It is caused by irrational and intensive land-use patterns in kars... Karst rocky desertification is one of the major ecological and environmental problems that threaten the sustainable development of southwestern China. It is caused by irrational and intensive land-use patterns in karst geo-ecological environment. Therefore, it is vital to identify how human forces work on this degraded environment. Based on the soil erosion information in 2000 and remote sensing images of Guanling County collected in 2000 and 2007, four grades of karst rocky desertification data in 14 villages of Guanling County were extracted. Impacts of population, affluence, and other human forces on karst rocky desertification were analyzed using STIRPAT model. The results show that:1) Factors of population and affluence had strong influence on karst rocky desertification. In the STIRPAT model analysis, the population and affluence coefficients were positive, indicating that the increase in population and affluence would lead to more serious desertification. 2) Factors of farmer correlated with karst rocky desertification negatively, especially the way of viewing the relationship between people and nature, and the level of knowledge about rocky desertification. Government behavior was not a significant factor in this analysis. 3) The findings provide evidence that STIRPAT model can be used to analyze the relationship between human driving forces and rocky desertification. 展开更多
关键词 karst rocky desertification human driving forces STIRPAT model Guanling County Guizhou Province
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Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China 被引量:24
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作者 OUYANG Chao-jun ZHAO Wei +5 位作者 HE Si-ming WANG Dong-po ZHOU Shu AN Hui-cong WANG Zhong-wen CHENG Duo-xiang 《Journal of Mountain Science》 SCIE CSCD 2017年第9期1701-1711,共11页
A catastrophic landslide occurred at Xinmo village in Maoxian County, Sichuan Province,China, on June 24, 2017. A 2.87×106 m3 rock mass collapsed and entrained the surface soil layer along the landslide path. Eig... A catastrophic landslide occurred at Xinmo village in Maoxian County, Sichuan Province,China, on June 24, 2017. A 2.87×106 m3 rock mass collapsed and entrained the surface soil layer along the landslide path. Eighty-three people were killed or went missing and more than 103 houses were destroyed. In this paper, the geological conditions of the landslide are analyzed via field investigation and high-resolution imagery. The dynamic process and runout characteristics of the landslide are numerically analyzed using a depth-integrated continuum method and Mac Cormack-TVD finite difference algorithm.Computational results show that the evaluated area of the danger zone matchs well with the results of field investigation. It is worth noting that soil sprayed by the high-speed blast needs to be taken into account for such kind of large high-locality landslide. The maximum velocity is about 55 m/s, which is consistent with most cases. In addition, the potential danger zone of an unstable block is evaluated. The potential risk area evaluated by the efficient depthintegrated continuum method could play a significant role in disaster prevention and secondary hazard avoidance during rescue operations. 展开更多
关键词 Xinmo landslide Runout Numerical modeling Dynamic process Potential risk Highlocality landslide
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