Risk evaluation of geological hazards of mountainous tourist area: a case study of Mengshan,China

Natural Hazards - Risk evaluation is crucial for the construction projects in the areas with high risk of geological hazards. In this paper, based on the projects of Mengshan tourism area,...     

Piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events on the Loess Plateau,China

Establishing a universal watershed‐scale erosion and sediment yield prediction model represents a frontier field in erosion and soil/water conservation. The research presented here was conducted on the Chabagou watershed, which is located in the first sub‐region of the hill‐gully area of the Loess Plateau, China. A back‐propagation artificial neural model for watershed‐scale erosion and sediment yield was established, with the accuracy of the model, then compared with that of multiple linear regression. The sensitivity degree of various factors to erosion and sediment yield was quantitatively analysed using the default factor test. On the basis of the sensitive factors and the fractal information dimension, the piecewise prediction model for erosion and sediment yield of individual rainfall events was established and further verified. The results revealed the back‐propagation artificial neural network model to perform better than the multiple linear regression model in terms of predicting the erosion modulus, with the former able to effectively characterize dynamic changes in sediment yield under comprehensive factor conditions. The sensitivity of runoff erosion power and runoff depth to the erosion and sediment yield associated with individual rainfall events was found to be related to the complexity of surface topography. The characteristics of such a hydrological response are thus closely related to topography. When the fractal information dimension is greater than the topographic threshold, the accuracy of prediction using runoff erosion power is higher than that of using runoff depth. In contrast, when the fractal information dimension is smaller than the topographic threshold, the accuracy of prediction using runoff depth is higher than that of using runoff erosion power. The developed piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events, which introduces runoff erosion power and runoff depth using the fractal information dimension as a boundary, can be considered feasible and reliable and has a high prediction accuracy. Copyright © 2013 John Wiley & Sons, Ltd.     

Using stable isotopes to understand seasonal and interannual dynamics in moisture sources and atmospheric circulation in precipitation

Stable isotopes in precipitation are useful tracers to strengthen understanding of climate change and hydrological processes. In this study, the moisture sources of 190 precipitation events in Beijing were analysed using the Hybrid Single‐particle Lagrangian Integrated Trajectory model, based on which we studied the relation between variations in precipitation δ¹⁸O and dynamics in moisture sources and atmospheric circulation in seasonal and interannual timescales. Categorization of 7 groups of moisture sources was performed, among which oceanic moisture sources presented lower δ¹⁸O in precipitation than continental moisture sources. The results show that seasonal variations of precipitation δ¹⁸O were caused by changes of moisture sources. In summer, moisture from proximal oceans dominated vapour transport to Beijing due to increasing monsoon strength and resulted in a relatively small variation of precipitation δ¹⁸O. At the interannual timescale, the variations of δ¹⁸O in summer precipitation were related to dynamics in oceanic moistures, showing depleted values when the contribution of oceanic moistures, especially the proportion of long‐distance oceanic moisture, was high. Further analysis indicated that changes of oceanic moisture sources were controlled by the strength of summer monsoons. These findings address the complexity of moisture sources in midlatitude monsoon areas and suggest that isotopic signals in precipitation have the potential to deduce changes in moisture sources and atmospheric circulation and can therefore serve for palaeoclimate reconstruction.     

博格达山东段苏吉山辉长岩LA-ICP-MS锆石U-Pb年龄、地质地球化学特征及构造意义

苏吉山辉长岩体位于博格达碰撞造山带东段,卡拉麦里蛇绿混杂岩带西南侧,出露面积约1.8 km~2,岩性为石英角闪辉长岩。苏吉山辉长岩体富含普通角闪石(20%)和磁铁矿物,表明原生岩浆富水、高氧逸度特征,岩石化学组成属于拉斑玄武岩系列,岩石弱富集大离子亲石元素Cs、Rb、Ba、Th、U,显著亏损Nb、Ta、Zr、Hf和弱亏损Ti,显示源区为受俯冲流体交代改造的岩石圈地幔,应是洋壳俯冲的产物。苏吉山辉长岩体锆石U-Pb年龄为308.1±3.3Ma,早于卡拉麦里混杂岩带内碱性花岗岩侵位,介于博格达裂谷活动期,是裂谷作用由全面伸展向局限伸展转换的标志。苏吉山辉长岩空间上位于古亚洲洋板块沿卡拉麦里蛇绿混杂岩带向准噶尔板块斜向俯冲的前进方向,时间上介于博格达裂谷活动期,地球化学上显示洋壳俯冲的特征,各种事实表明,古亚洲洋沿卡拉麦里碰撞带向准噶尔板块斜向俯冲作用形成撕裂型博格达裂谷,博格达裂谷由伸展机制向伸展-碰撞过渡机制的应力调整导致了苏吉山辉长岩体的侵位。     

华北克拉通乌拉山地区早前寒武纪岩浆作用和变质作用——锆石SHRIMP U-Pb定年及岩石地球化学研究

乌拉山地区位于大青山地区西侧,变泥砂质岩石大范围出露,并有一定数量变质岩浆侵入岩存在。本文对6个变质岩浆侵入岩进行了锆石SHRIMP U-Pb定年。片麻状闪长岩、片麻状英云闪长岩、片麻状花岗闪长岩和片麻状紫苏花岗岩等4个样品的锆石U-Pb数据点沿谐和线分散分布,n(~(207)Pb)/n(~(206)Pb)年龄从约2.5Ga到约1.8 Ga。变质辉长岩和眼球状石英二长岩锆石U-Pb数据点在谐和线上较集中分布,n(~(207)Pb)/n(~(206)Pb)年龄从约2.0Ga到约1.8 Ga。n(~(207)Pb)/n(~(206)Pb)年龄越小的锆石域通常显示越强烈的重结晶。结合已有研究和地球化学资料,可得出如下结论。(1)乌拉山地区存在新太古代晚期(约2.5 Ga)和古元古代中晚期(约2.0 Ga)岩浆侵入岩,后者形成于伸展构造环境。(2)乌拉山地区遭受新太古代晚期一古元古代早期和古元古代晚期两期构造热事件叠加改造。(3)乌拉山地区部分变泥砂质岩石形成于新太古代晚期,大青山地区原认为形成于古元古代早期的"大青山表壳岩"很可能也形成于新太古代晚期。(4)乌拉山地区和大青山具有类似或相同的早前寒武纪地质演化历史。