Oceanic origin of southeast tropical Atlantic biases

Most coupled general circulation models suffer from a prominent warm sea surface temperature bias in the southeast tropical Atlantic Ocean off the coast of Africa. The origin of the bias is not understood and remains highly controversial. Previous studies suggest that the origin of the bias stems from systematic errors of atmospheric models in simulating surface heat flux and coastal wind, or poorly simulated coastal upwelling. In this study, we show, using different reanalysis and observational data sets combined with a set of eddy-resolving regional ocean model simulations, that systematic errors in ocean models also make a significant contribution to the bias problem. In particular (1) the strong warm bias at the Angola-Benguela front that is maintained by the local wind and the convergence of Angola and Benguela Currents is caused by an overshooting of the Angola Current in ocean models and (2) the alongshore warm bias to the south of the front is caused by ocean model deficiencies in simulating the sharp thermocline along the Angola coast, which is linked to biases in the equatorial thermocline, and the complex circulation system within the Benguela upwelling zone.     

互联网泛在地理信息感知融合技术综述

互联网数据中蕴含丰富的地理信息,其无处不在、形式与结构多样的特征决定了感知和融合面临许多技术难题。本文在分析互联网泛在地理信息分类和特征的基础上,系统研究其感知和融合技术的总体现状,总结了服务快速准确发现、深层网络数据高覆盖度采集、非结构化文本中位置信息提取和关联图像空间语义提取等感知技术发展现状,分析了异源几何数据匹配关联、地址标准化处理、同名实体语义对齐、地理实体关系构建等融合处理关键技术;在此基础上,总结和展望了互联网泛在地理信息感知融合技术在开放地理数据网络、城市治理与应急管理、网络监测与地理空间情报等领域的应用前景。     

宾川小龙潭斑岩铜钼矿矿化特征及控矿条件

区域性的程海深大断裂是该区的导岩、导矿构造,直接控制了富碱性斑岩和次级构造的展布,富碱性斑岩又是区内铜钼矿化的直接成矿因素,所以应重视沿北东向构造—岩浆带的找矿工作.     

内蒙古敖汉旗克力代岩体锆石U-Pb年代及地球化学

通过LA-ICP-MS锆石U-Pb测年对内蒙古敖汉旗克力代岩体进行研究。结果表明,岩浆锆石的加权平均年龄为263±1 Ma,表明其结晶年龄为中二叠世。岩石地球化学分析表明,岩体具有高Si(SiO2=69.94%～72.56%),富ALK(Na2O+K2O=8.04%～9.23%),贫Fe(FeOT=1.50%～1.82%)、Mg(MgO=0.65%～0.86%)、Ti(TiO2=0.32%～0.35%)的特点;A/CNK值为0.87～0.93,为准铝质;A/NKC1.1,显示出I型花岗岩特征。固结指数(SI)为6.06～7.36,分异指数(DI)为88.82～91.82,说明岩体经历了较强的分异演化作用。稀土元素总量较低(ΣREE=91.76×10-6～143.16×10-6),轻稀土明显富集,重稀土相对亏损,LREE/HREE值平均为9.14,(La/Yb)N平均值为8.36,δEu平均值为0.58,为Eu亏损型。大离子亲石元素(LILE)Rb、K较富集,强烈亏损高场强元素(HFSE)Nb、Ti、Ta。因此,判定克力代岩体为高钾钙碱性I型花岗岩。结合测年结果和地球化学特征,判定该岩体为晚海西期华北板块和西伯利亚板块碰撞作用形成的同碰撞型花岗岩。     

广西田林县八渡平乐金矿找矿远景

平乐金矿床位于桂西北-黔西南-滇东南金锑银多金属成矿区,与其东侧典型金矿床高龙金矿成矿地质背景有一定的类似性。本次工作通过调查取样,结合高龙金矿地质特征及控矿因素对比分析,对该矿床的成矿远景进行了初步分析。     

岩溶峰丛洼地不同环境水土流失差异及防治研究——以广西果化岩溶生态研究基地为例

与碎屑岩地区相比,特殊的岩溶水文地质结构,导致岩溶区存在不同的水土流失过程和特点,尤以峰丛洼地区最具代表性。通过广西平果县果化岩溶峰丛洼地土壤地表侵蚀和地下漏失的调查研究显示:洼地不同地貌部位水土流失差异较大,从山峰、垭口、山坡、山麓到洼地底部,土壤地下漏失模数分别为49.09 t/(km2·a)、212.06 t/(km2·a)、727.71 t/(km2·a)、1104.03 t/(km2·a)、909.11 t/(km2·a),分别占该点年均总土壤侵蚀模数的92.43%、96.24%、78.57%、70.88%和38.68%;不同土地利用方式下的土壤侵蚀存在差异,其土壤侵蚀模数大小依次为坡耕地苦丁茶地苏木林地灌草坡牧草地。通过对该地区水土流失防治及石漠化综合治理,山峰主要涵养水源林、山坡主要发展生态产业防治水土漏失、洼地修建排水系统工程得到良好的效果,治理区土壤侵蚀模数从2003年到2010年下降了65%。     

Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry

Preparation of reliable landslide hazard and risk maps is crucial for hazard mitigation and risk management. In recent years, various approaches have been developed for quantitative assessment of landslide hazard and risk. However, possibly due to the lack of new data, very few of these hazard and risk maps were updated after their first generation. In this study, aiming at an ongoing assessment, a novel approach for updating landslide hazard and risk maps based on Persistent Scatterer Interferometry (PSI) is introduced. The study was performed in the Arno River basin (central Italy) where most mass movements are slow-moving landslides which are properly within the detection precision of PSI point targets. In the Arno River basin, the preliminary hazard and risk assessment was performed by Catani et al. (Landslides 2:329–342, 2005) using datasets prior to 2002. In this study, the previous hazard and risk maps were updated using PSI point targets processed from 4 years (2003–2006) of RADARSAT images. Landslide hazard and risk maps for five temporal predictions of 2, 5, 10, 20 and 30 years were updated with the exposure of losses estimated in Euro (€). In particular, the result shows that in 30 years a potential loss of approximate €3.22 billion is expected due to these slow-moving landslides detected by PSI point targets.