末次冰盛期-全新世东海陆坡滑塌沉积的地质年代与沉积学证据

基于东海陆坡区OT12-01孔长度为5.35 m沉积物AMS 14C测年、高分辨率粒度分析和XRF岩芯元素扫描数据,识别出了末次冰盛期(LGM)至全新世期间发生的多次滑塌事件。研究发现,OT12-01孔全新世晚期沉积层缺失,LGM至全新世期间呈现AMS 14C年龄模式频繁倒转、沉积物粒度、元素比值垂向上多处突变或"错动"等特征,保存了LGM至全新世非连续的沉积记录。OT12-01孔沉积物主要来源于低海平面时期的长江/黄河物质,OT12-01孔是由中国大陆陆源物质在东海陆架经水动力分选,细颗粒被搬运至东海陆坡后,发生多次滑塌形成。LGM时期物源供给是OT12-01孔形成滑塌沉积的重要因素,末次冰消期海平面快速上升可能是高频滑塌沉积的触发原因,而低海平面时期甲烷水合物溢出、频繁的地震和火山喷发可能是海底滑坡作用发生的诱因。     

生物标志化合物与相关的全球变化

在各种地质体中广泛分布的生物标志化合物在全球变化研究中有着广泛应用,特别是在海洋和湖泊沉积物中,研究工作已涉及到古植被、古温度、古降水量、古大气CO2浓度和古季风等的恢复.文章介绍利用气相色谱仪、气相色谱-质谱联用仪、气相色谱-热转换-同位素比质谱仪分析了一个长40cm泥炭岩芯(约222年)的生物标志化合物的分布及其单体氢同位素.结果显示,不管是生物标志化合物的分布,还是其单体稳定同位素特征都记载了气候(温度)的变化.正构脂肪酸的碳优势指数(CPI值)、正构烷烃C23/C31比值、正构烷烃C23的δD值与温度有很好的对应关系.     

内蒙古和林格尔新区核心区地下空间适宜性评价

本文以内蒙古和林格尔新区核心区为研究范围,利用已有调查数据,基于MapGIS平台,从水文地质、工程地质、不良地质及地貌4个方面选取9个因子组成了地下空间适宜性评价指标体系,采用层次分析法对研究区地下空间适宜性进行了评价。评价结果显示：研究区浅层地下空间较适宜区占总面积99.71%;中层地下空间较适宜区占总面积95.03%;深层地下空间较适宜区分布于研究区东南部,占总面积26.95%,次适宜区大面积分布于研究区中西部区域,占总面积72.27%。研究结果表明：研究区地下空间资源综合适宜性等级基本以较适宜、次适宜为主,区内不同竖向层次与不同区位地下空间资源的适宜性存在差异,资源条件总体上呈现\     

西南极中—新生代古地磁与板块重建研究进展

根据西南极已发表的中—新生代古地磁数据,对西南极不同地块进行了古大陆重建。识别出古太平洋板块对西南极构造演化影响广泛的两次构造事件：一是120~100 Ma古太平洋板块内翁通爪哇-马尼希基-希库朗基大火成岩省的喷发与全球板块洋壳扩张速率高峰期引起的西南极瑟斯顿岛-埃茨海岸与东玛丽·伯德地快速南向移动;二是古太平洋-凤凰板块洋中脊在~100 Ma俯冲至西南极之下导致的以罗斯海区域为主的岩石圈伸展、瑟斯顿岛-埃茨海岸与玛丽·伯德地远离东南极以及南极半岛发生南向运动与顺时针旋转。证明太平洋板块俯冲与西南极板块运动的耦合关系。未来需要在西南极获得更多具有准确年代学限制的可靠的古地磁数据,这将对西南极的构造演化模式提供更多的制约,并有助于深入理解南极大陆的构造演化过程、板块生长与裂解的地球动力学机制。     

我国核电厂设计中考虑的自然灾害综述与建议

我国是目前世界在建核电机组最多的国家,总装机容量世界第三,是名副其实的核大国,核安全是国家安全的重要内容,被提到了前所未有的高度。同时,我国也是世界上自然灾害最严重的国家之一,包括核电厂在内的重大工程建设高度重视自然灾害防御设计。日本311地震海啸引起福岛核事故后,核电厂设计中增强了对超设计基准自然灾害的考虑。本文对核电厂防御自然灾害的必要性、核电厂设计中需考虑的自然灾害及国内外核电厂关于防御自然灾害存在的问题进行研究,提出我国核电厂防御自然灾害的建议。     

联合DBSCAN聚类采样和SVM分类的滑坡易发性评价

针对基于机器学习的滑坡易发性评价中非滑坡样本选取不规范导致的分类精度较低问题,本文提出联合基于密度的噪声应用空间聚类（Density-Based Spatial Clustering of Applications with Noise,DBSCAN）采样策略和支持向量机（Support Vector Machine,SVM）分类方法的DBSCAN-SVM滑坡易发性评价模型。首先,基于DBSCAN聚类和空间分析选取非滑坡样本;然后,将样本数据代入SVM分类模型进行训练与验证,预测并提取SVM分类中属于滑坡的概率,获得滑坡易发性;最后,以四川省绵阳市为试验区,预测滑坡易发性概率,基于滑坡易发性精度与分级结果等要素,与传统非滑坡样本采集策略的SVM滑坡易发性评价模型进行对比,并结合实际情况对DBSCAN-SVM模型评价结果进行分析。研究结果表明,相比传统SVM滑坡易发性评价模型,本文提出的DBSCAN-SVM滑坡易发性评价模型在高易发区和极高易发区中包含的滑坡样本数量较多,准确率、召回率、AUC、F1分数均得到提高,精度较高。     

Development of a soil moisture‐based distributed hydrologic model for determining hydrologically based critical source areas

A simple grid cell‐based distributed hydrologic model was developed to provide spatial information on hydrologic components for determining hydrologically based critical source areas. The model represents the critical process (soil moisture variation) to run‐off generation accounting for both local and global water balance. In this way, it simulates both infiltration excess run‐off and saturation excess run‐off. The model was tested by multisite and multivariable evaluation on the 50‐km² Little River Experimental Watershed I in Georgia, U.S. and 2 smaller nested subwatersheds. Water balance, hydrograph, and soil moisture were simulated and compared to observed data. For streamflow calibration, the daily Nash‐Sutcliffe coefficient was 0.78 at the watershed outlet and 0.56 and 0.75 at the 2 nested subwatersheds. For the validation period, the Nash‐Sutcliffe coefficients were 0.79 at the watershed outlet and 0.85 and 0.83 at the 2 subwatersheds. The per cent bias was less than 15% for all sites. For soil moisture, the model also predicted the rising and declining trends at 4 of the 5 measurement sites. The spatial distribution of surface run‐off simulated by the model was mainly controlled by local characteristics (precipitation, soil properties, and land cover) on dry days and by global watershed characteristics (relative position within the watershed and hydrologic connectivity) on wet days when saturation excess run‐off was simulated. The spatial details of run‐off generation and travel time along flow paths provided by the model are helpful for watershed managers to further identify critical source areas of non‐point source pollution and develop best management practices.     

δ18O and δ13C in fossil shells of Radix sp. from the sediment succession of a dammed palaeo‐lake in the Yarlung Tsangpo valley,Tibet, China

A series of confirmed and suspected dammed palaeo‐lake sedimentary successions is scattered within the middle Yarlung Tsangpo valley in Tibet. However, the chronology, the genesis of the dam and its location, the water level of the dammed lake, the process of dam failure and the spatiotemporal relationships between the sedimentary successions remain controversial. Here, we focus on one sedimentary succession of the suspected dammed palaeo‐lake at Xigazê. We measured the grain‐size distribution, magnetic susceptibility, organic and inorganic carbon content, and δ¹³C_org and δ¹⁵N_total ratios of the sediments. In addition, we measured the δ¹⁸O_shell and δ¹³C_shell values of modern and fossil Radix sp. shells, and the δ¹⁸O_water and δ¹³C_DIC values of the ambient water with different hydrological regimes. The results indicate that the δ¹⁸O_shell values of modern Radix sp. and the δ¹⁸O_water of the ambient water body significantly depend on its hydrological status. In addition, a strong positive relationship was observed between δ¹⁸O_shell values of modern Radix sp. shells and the δ¹⁸O_water of the ambient water on the Tibetan Plateau. According to this correlation, the δ¹⁸O_water values of the palaeo‐water body are reconstructed using the δ¹⁸O_shell values of Radix sp. fossil shells in the Xigazê section. Further, based on the δ¹⁸O_shell values of fossil Radix sp., the reconstructed δ¹⁸O_water of the palaeo‐water body and the specific habitats of Radix sp., we infer that the sedimentary succession in the Xigazê broad valley was mainly formed within the backwater terminal zone of a dammed palaeo‐lake and that the elevation of the water level of the lake was approximately 3811 m a.s.l. AMS ¹⁴C dating indicates that the deposits of the dammed palaeo‐lake were formed at about 33–22 cal. ka BP. Finally, the presence of Radix sp. fossil shells within the Xigazê section suggests that Radix sp. survived the late Last Glacial Period on the Tibetan Plateau.     

Target setting and allocation of carbon emissions abatement based on DEA and closest target: an application to 20 APEC economies

Regarded as an effective method for treating the global warming problem, carbon emissions abatement (CEA) allocation has become a hot research topic and has drawn great attention recently. However, the traditional CEA allocation methods generally set efficient targets for the decision-making units (DMUs) using the farthest targets, which neglects the DMUs’ unwillingness to maximize (minimize) some of their inputs (outputs). In addition, the total CEA level is usually subjectively determined without any consideration of the current carbon emission situations of the DMUs. To surmount these deficiencies, we incorporate data envelopment analysis and its closest target technique into the CEA allocation problem. Firstly, a two-stage approach is proposed for setting the optimal total CEA level for the DMUs. Then, another two-stage approach is given for allocating the identified optimal total CEA among the DMUs. Our approach provides more flexibility when setting new input and output targets for the DMUs in CEA allocation. Finally, the proposed approaches are applied for CEA target setting and allocation for 20 Asia-Pacific Economic Cooperation economies.