Satellite estimates and subpixel variability of rainfall in a semi-arid grassland

卫星估雨精度的不确定性受到当地降雨类型和像元内降雨非均匀性影响,而结合这两个关键因素开展半干旱草原卫星估雨的研究有限.2009年夏,我们在中国锡林郭勒半干旱草原用多部微雨雷达和雨量计构建了9 km卫星像元降雨观测网,观测了像元内降雨非均匀性(空间变异系数CV),并评估了卫星估雨精度.结果表明:(1)CV值受像元内平均降雨量,降雨类型,降雨云面积及移向等影响,如高Cv值的降雨过程大多为平均降雨量小,对流性降雨过程,降雨云边缘像元CV值较高;(2)TRMM 3B42V7卫星估雨产品适用性较好,CMORPH和PERSIANN次之,但TRMM 3B42V7易在半干旱草原湖泊处高估降雨.     

Structural Setting and Kinematic Analysis of the Halaban Region,Eastern Arabian Shield,Saudi Arabia

The vorticity analysis technique was applied to measure the different lithological units,such as schist,metagranite and metavolcano-sedimentary rocks,which are present in the Halaban region.This work aims to interpret the relationship between the different lithologies and the tectonic setting,in order to elucidate the nature of kinematic analysis in the Halaban region.The kinematic analyses were applied to feldspar porphyroclasts,quartz and hornblende for twentysix samples.The kinematic vorticity number (W_m) for deformed rocks in the study area ranged from～0.6 to 0.9.The direction of the long axes for finite strain data (X axes) revealed a WNW trend with shallow dipping.The direction of the short axes for finite strain data (Z axes) were represented by vertical with associated horizontal foliation.The results of the kinematic vorticity and strain analyses are characterized by simple shear with different degrees of deformation in the Halaban region.Furthermore,our finite strain data shows no significant volume change during deformation.The subhorizontal foliation was synchronized with thrusting and deformation.Furthermore,throughout the overlying nappes,the same attitudes of tectonic contacts are observable,the nappes in the orogens being formed from simple shear deformation.     

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

In recent years,landslide susceptibility mapping has substantially improved with advances in machine learning.However,there are still challenges remain in landslide mapping due to the availability of limited inventory data.In this paper,a novel method that improves the performance of machine learning techniques is presented.The proposed method creates synthetic inventory data using Generative Adversarial Networks(GANs)for improving the prediction of landslides.In this research,landslide inventory data of 156 landslide locations were identified in Cameron Highlands,Malaysia,taken from previous projects the authors worked on.Elevation,slope,aspect,plan curvature,profile curvature,total curvature,lithology,land use and land cover(LULC),distance to the road,distance to the river,stream power index(SPI),sediment transport index(STI),terrain roughness index(TRI),topographic wetness index(TWI)and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron Highlands.To show the capability of GANs in improving landslide prediction models,this study tests the proposed GAN model with benchmark models namely Artificial Neural Network(ANN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF)and Bagging ensemble models with ANN and SVM models.These models were validated using the area under the receiver operating characteristic curve(AUROC).The DT,RF,SVM,ANN and Bagging ensemble could achieve the AUROC values of(0.90,0.94,0.86,0.69 and 0.82)for the training;and the AUROC of(0.76,0.81,0.85,0.72 and 0.75)for the test,subsequently.When using additional samples,the same models achieved the AUROC values of(0.92,0.94,0.88,0.75 and 0.84)for the training and(0.78,0.82,0.82,0.78 and 0.80)for the test,respectively.Using the additional samples improved the test accuracy of all the models except SVM.As a result,in data-scarce environments,this research showed that utilizing GANs to generate supplementary samples is promising because it can improve the predictive capability of common landslide prediction models.     

金在土壤中的存在形式及其预测意义

本文介绍了应用已知方法分离土壤（金含量由克拉克值水平到够矿石品位）中各种存在形式的金。查明金以自然金粒、矿物残留物和腐黑物的混入物、金富里酸和金胡敏酸络合物以及AuCI^-、Au(CIOH)^-、Au(OH)2^-类无机络合物等形式存在于土壤中，对隐伏金矿床来说，金在土壤中的各种存在形式呈带状分布，建议在为预测目的而解释弱地球化学异常时予以利用。     

天然水中矿物溶解度的预测——25℃时高离子强度的Na-K-Mg-Ca-H-Cl-SO_4-OH-HCO_3-CO_3-H_2O体系

Harvie和Weare(1980)的矿物溶解度模型,被扩展到25℃时高浓度的8组份体系Na-K-Mg-Ca-H-Cl-SO_4-OH-HCO_3-CO_3-CO_2-H_2O。该模型就其水电解质溶液的热力学而言,是以Pitzer(1973)及其同事们的半经验公式为基础的。利用大量的适用于大多数亚体系的有效的等压、电动势及溶解度资料,把模型参数化。模型的推测能力,已通过体系中比参数化所用资料更为复杂的实验资料进行对比而证实。本文讨论了水电解质溶液的化学模型的基本特点和pH与溶液平衡特性之间的关系。     

澳大利亚昆士兰州雷德多姆(芒加纳)矽卡岩金矿床的地质和矿化作用

引言雷德多姆(Red Dome)金矿床位于澳大利亚昆士兰州东北部的奇拉戈(Chillagoe)附近(图1),目前由Elders矿产有限公司以露天开采方式开拓中,其地质储量有含金2g/t的矿石1380万吨。估计其它有用元素还有银4.6g/t、铜0.46％和锌1.0％。贱金属和贵金属产于斑状流纹岩墙与以碳酸盐为主的沉积岩接触处形成的矽卡岩内。既有内     

昆士兰芒特艾萨同构造期铜矿化的发育和定位的构造控制

引言澳大利亚东北部芒特艾萨的铜和银-铅-锌矿体,在沉积岩容矿的块状硫化物矿床中占据着特殊位置,它们都产在相同的建造(乌尔库哈特页岩)中,但它们之间有一定空间间隔,具有不同的容矿岩的特征。铅-锌矿体呈雁行排列在白云质页岩中,由层状方铅矿和闪锌矿层组成、Neudert(1983、84)根据沉积学分析认为,方铅矿和闪锌矿是在沉积地层中定位的,而不是沉积在沉积物-水界面上。为确定与变形历史有关的银-铅-锌矿体矿化时间,尚需进行详     

晚更新世黄土堆积物中的10Be记录

给出西峰黄土剖面0.15Ma以来¹⁰Be浓度、CaCO₃含量、粒度分布和有机质含量曲线。通过与深海沉积物δ¹⁸O曲线拟合,建立了西峰黄土剖面¹⁰Be时标,并与洛川黄土剖面¹⁰Be记录进行了对比研究。进一步计算了黄土堆积速率及¹⁰Be沉降量。