Features of clay minerals in the YSDP102 core on the continental shelf of the southeast Yellow Sea

Ninety-eight clay mineral samples from the YSDP102 core were analyzed by x-ray diffractometer to study the four clay minerals: illite, chlorite, kaolinite and smectite. Twenty-eight samples had been analyzed on the laser particle-siz eanalyzer to reveal the particle features of the sediments. Distribution of the clay minerals and the particle characteristics in the YSDP102 core show that the core experienced three different depositional periods and formed three different sedimentary intervals due to different sediment sources and different depositional environments. Features of the clay minerals and the heavy minerals in the YSDP102 core indicate that coarse-grained sediments and fine-grained sediments result from different sources. The Yellow Sea Warm Current has greatly influenced the sedimentary framework of this region since the current‘s formation.     

Why does the Antarctic Peninsula Warm in climate simulations?

The Antarctic Peninsula has warmed significantly since the 1950s. This pronounced and isolated warming trend is collectively captured by 29 twentieth-century climate hindcasts participating in the version 3 Coupled Model Intercomparison Project. To understand the factors driving warming trends in the hindcasts, we examine trends in Peninsula region’s atmospheric heat budget in every simulation. We find that atmospheric latent heat release increases in nearly all hindcasts. These increases are generally anthropogenic in origin, and account for about 60% of the ensemble-mean warming trend in the Peninsula. They are driven primarily by well-understood features of the anthropogenic intensification of global hydrological cycle. As sea surface temperature increases, moisture contained in atmospheric flows increases. When such flows are forced to ascend the Peninsula’s topography, enhanced local latent heat release results. The mechanism driving the warming of the Antarctic Peninsula is therefore clear in the models. Evidence for a similar mechanism operating in the real world is seen in the increasing snow accumulation rates inferred from ice cores drilled in the Peninsula. However, the relative importance of this mechanism and other processes previously identified as potentially causing the observed warming, such as the recent sea ice retreat in the Bellingshausen Sea, is difficult to assess. Thus the relevance of the simulated warming mechanism to the observed warming is unclear, in spite of its robustness in the models.     

亚澳中低纬度区域暴雨天气系统研究

以跨越南北半球的亚澳季风区内的暴雨等灾害天气系统为主要讨论内容,分析了影响这一地区的环流和天气系统的主要特征以及它们之间的异同,这对深入了解该区域内季风的影响和降水系统的机理提供了帮助.同时,对于预报的改进也是有益的.     

利用GIS绘制综合等震线

利用ＧＩＳ的拓扑叠加原理绘制了东南沿海地区的综合等震线,并将这种方法加以推广,编制了利用ＧＩＳ绘制综合等震线的通用程序,为工程地震研究中的烈度区划工作提供了方便途径     

青海湖水量平衡及水位变化预测

青海湖是我国最大的内陆湖泊,流域面积29661km~(2),水面高程超过3000m,受人为活动影响相对较少,基本上还处于半自然状态。水量平衡计算结果表明,有观测资料的近30年来,青海湖处于负平蘅状态,水位下降了2.96m,平均每年下降10.2cm。如果未来湖区的气候大体保持过去的情况,水位将再下降5.8m,经过57年才能平衡。如果考虑“温室效应”所引起的西北地区未来气候变化,水位亦将下降,每年平均下降10.1cm。     

Assessment of calanchi and rill–interrill erosion susceptibilities using terrain analysis and geostochastics: A case study in the Oltrepo Pavese,Northern Apennines,Italy

Soil erosion is one of the most important environmental problems distributed worldwide. In the last decades, numerous studies have been published on the assessment of soil erosion and the related processes and forms using empirical, conceptual and physically based models. For the prediction of the spatial distribution, more and more sophisticated stochastic modelling approaches have been proposed – especially on smaller spatial scales such as river basins. In this work, we apply a maximum entropy model (MaxEnt) to evaluate badlands (calanchi) and rill–interrill (sheet erosion) areas in the Oltrepo Pavese (Northern Apennines, Italy). The aim of the work is to assess the important environmental predictors that influence calanchi and rill–interrill erosion at the regional scale. We used 13 topographic parameters derived from a 12 m digital elevation model (TanDEM-X) and data on the lithology and land use. Additional information about the vegetation is introduced through the normalized difference vegetation index based on remotely sensed data (ASTER images). The results are presented in the form of susceptibility maps showing the spatial distribution of the occurrence probability for calanchi and rill–interrill erosion. For the validation of the MaxEnt model results, a support vector machine approach was applied. The models show reliable results and highlight several locations of the study area that are potentially prone to future soil erosion. Thus, coping and mitigation strategies may be developed to prevent or fight the soil erosion phenomenon under consideration. © 2020 John Wiley & Sons, Ltd.     

基于组合统计降尺度的华西南部地区冬季气温预测技术研究

利用1982—2017年华西南部地区冬季气温和NCEP再分析资料以及CFS模式实时预测资料,通过SVD诊断分析,选取影响华西南部地区冬季气温的同期关键区大气环流和前期海温及OLR因子场,建立预测与观测场相结合的组合统计降尺度预测模型。该统计降尺度预测模型对1982—2017年的回报结果显示：与观测场的空间相关系数较CFS模式原始预测结果有显著提高,多年均值从-0.06提升到0.38,最高可达0.85。同时,此降尺度预测模型可较好地回报出华西南区冬季气温的空间分布型。     

渤中凹陷CFD18-2油田高岭石胶结作用及其对储层物性的影响

为探究成岩作用过程中所形成的次生黏土矿物对储层物性的影响,借助偏光显微镜及扫描电镜的镜下分析,并结合储层物性等数据,对渤中凹陷附近沙垒田凸起东南部CFD18-2油田东三段高岭石的特征、类型、成因及其对储层物性的影响进行了研究。研究结果表明：1）研究区高岭石为有机酸溶蚀长石形成的自生高岭石,呈现典型的"手风琴状"及"蠕虫状",常充填于粒间孔、长石次生溶孔及碳酸盐胶结物溶孔中并形成良好的晶间孔隙。2）研究区主要发育两期高岭石,第一期主要充填于早期碳酸盐胶结物溶孔中,呈微小"蠕虫状";第二期充填于铁方解石与铁白云石胶结物溶孔中,部分高岭石具碱性溶蚀特征,且第二期高岭石与晚期伊利石共生。3）研究区东三段储层具备一定的渗流能力,使长石溶蚀形成的"副产物"被流体带走;但在破坏性成岩作用下,储层渗流能力会逐渐变差,最终使得"副产物"堆积于孔隙,降低储层物性。4）高岭石及同期硅质胶结物对储层物性的影响是一把"双刃剑",当高岭石及硅质的体积分数低于6.81%时,长石溶蚀有利于改善储层物性;当高岭石及硅质的体积分数高于6.81%时,则不利于储层物性的改善。     

受污染湖泊沉积物中氮素转化对有机污染物降解的促进效应与机制

目前有关硝化反应动力学及其共代谢降解有机污染物的研究多为实验室微生物纯培养体系,来源于野外环境样品的很少.以受污染湖泊严家湖1号塘沉积物为研究对象,野外钻探采样,并选取不同深度沉积物进行室内外加氮源的硝化实验.结果表明:表层土和钻井一处50～100 cm沉积物发生明显的硝化反应,同时有机污染物中六氯苯含量降低最多,分别...