Regional debris flow susceptibility analysis based on principal component analysis and self-organizing map: a case study in Southwest China

A method was developed to analyze the susceptibilities of 541 regional basins affected by debris flows at the Wudongde Dam site in southwest China. Determining susceptibility requires information on source material quantity and occurrence frequency. However, the large number of debris flows can hinder the individual field investigation in a each small basin. Factors that may trigger debris flows can be identified using remotely sensed interpretation information. Susceptibility analysis can then be conducted based on these factors. In this study, SPOT5 satellite imagery, digital elevation models (DEM), a lithology distribution map, and rainfall monitoring data were used to identify 12 debris flow trigger factors: basin relief ratio, slope gradient in the initiation zone, drainage density, downslope curvature of the main channel, vegetation coverage, main channel aspect, topographic wetness index, Melton’s ruggedness number, lithology, annual rainfall, form factor, and cross-slope curvature of the transportation zone. Principal component analysis was used to obtain the eight principal components of these factors that contribute to susceptibility results. Then, a self-organizing map method was adopted to analyze the principal components, which resulted in a debris flow susceptibility classification. Field validation of 26 debris flow basins was used to evaluate the errors of the susceptibility classification, as well as assess the causes of such errors. The study found that principle component analysis and self-organizing map methodologies are good predictors of basin susceptibility to debris flows.     

基于灵敏度分析的海洋油气资源BP神经网络预测模型的优化

作者针对BP神经网络结构设计中存在的问题,提出利用灵敏度分析方法对BP神经网络预测模型进行优化。通过BP算法与参数灵敏度分析的结合,寻找网络输入属性与输出属性之间的影响因子;在保证精度的前提下优选网络输入属性,简化网络结构,以增强网络的泛化能力,减少人为主观因素对网络设计的影响。最后以海洋油气资源预测为例,结合实测资料建立BP神经网络预测模型并进行了优化及预测精度评价,表明优化后的模型既能有效提高油气资源预测结果的稳定性,又不损失预测精度。     

柴达木盆地鱼卡地区中侏罗统页岩气成藏条件

通过地质钻井、野外现场解吸、样品实验分析等,对柴达木盆地鱼卡地区中侏罗统页岩气成藏条件进行了研究。结果表明,鱼卡地区中侏罗统泥页岩主要发育于大煤沟组第五段和石门沟组,是一套以辫状河三角洲间湾、辫状河三角洲平原和湖泊相为主的优质烃源岩,累计厚度38~300m,TOC为0.12%~13.23%,Ro为0.29%~0.89%。石英含量为18.0%~63.3%,粘土矿物含量为10.1%~55.6%,孔隙度为1.53%~14.92%,渗透率为0.007×10-3~6.24×10-3μm2。微孔隙发育,主要有粒间孔、溶蚀孔、粒内孔,孔隙直径多为0.3~3μm。泥页岩含气量为0.42~0.83m3/t,解吸气CH4含量8.6%~64.9%,δ13C1为-80.59‰~-63.32‰。与国内外含气泥页岩对比发现,研究区中侏罗统泥页岩具有厚度大、TOC高、石英含量居中的特点,但分布面积小、成熟度低、含气量小,且自中、新生代以来经历了多期次构造运动,对页岩气的保存影响较大。预测鱼卡地区中侏罗统页岩气勘探前景,还需重点加强构造作用对页岩气保存的影响及页岩气成因类型、资源量评估等方面的研究。     

Immobilization of copper under an acid leach of colloidal pyrite waste rocks by a fixed-bed column

Colloidal pyrite waste rocks (CPWR) which are mainly composed of colloidal pyrite and siderite widely deposit in sulfide mines in the middle and lower reaches of the Yangtze River belt, China, especially in Tongling City, Anhui Province, China. In this paper, a fixed-bed column was used to investigate the weathering and oxidation of CPWR and its role in immobilizing low-concentration Cu (10 mg L^?1) under weakly acidic leach (pH = 5.0). The experimental results indicated that the breakthrough capacity was around 14.0 mg Cu g^?1 CPWR when Cu²⁺ breakthrough concentration was 0.5 mg L^?1. Sequential extraction of Cu and dithionite–citrate–bicarbonate extraction of free iron in the used CPWR after the column breakthrough indicated that Cu removal by CPWR consisted of the following processes: oxidation of pyrite and dissolution of siderite in CPWR, ferrous oxidation, and adsorption of Cu on ferric (hydr)oxides. This study shows the potential application of CPWR as an effective sorbent for the removal of low-concentration Cu from acid mine drainage.     

内蒙古北山额勒根乌兰乌拉一带土壤测量地球化学特征及找矿方向

研究区位于内蒙古北山北带,成矿地质条件优越,1∶20万水系沉积物测量异常明显,且分布有额勒根乌兰乌拉斑岩型钼(铜)矿。以1∶5万土壤地球化学测量成果为依据,以地质认识为基础,研究了区内元素地球化学数据特征、地球化学场特征及综合异常特征。认为区内主成矿元素为Mo、Cu、Au,主要的控矿层位为咸水湖组火山岩段,成矿有利侵入体为石炭纪花岗闪长岩。划分出5种综合异常类型,其中与斑岩钼(铜)矿系统有关的综合异常和与奥陶系建造有关的综合异常是今后解剖找矿的重点。     

Using landscape indicators and Analytic Hierarchy Process (AHP) to determine the optimum spatial scale of urban land use patterns in Wuhan,China

Quantifying land use patterns and functions is critical for modeling urban ecological processes, and an emerging challenge is to apply models at multiple spatial scales. Methods of determining the optimum scale of land use patterns are commonly considered using landscape metrics. Landscape metrics are quantitative indicators for analyzing landscape heterogeneity at the landscape level. In this study, due to their widespread use in urban landscape analyses and well-documented effectiveness in quantifying landscape patterns, landscape metrics that represent dominance, shape, fragmentation and connectivity were selected. Five metrics include Patch Density, Contagion, Landscape Shape Index, Aggregation Index and Connectivity. Despite a wide application of landscape metrics for land use studies, the majority mainly focuses on the qualitative analysis of the characteristics of landscape metrics. The previous models are limited in exploring the optimum scale of land use patterns for their lack of quantitation. Therefore, taking the City of Wuhan as an example, the land use unit was treated as a patch, and the landscape pattern metrics at different spatial scales were calculated and compared so as to find the optimum one. Furthermore, a mathematical model of landscape metrics was proposed to quantify the scale effect of urban land use patterns, generating a complementary tool to select the optimum scale. In addition, Analytic Hierarchy Process (AHP) was introduced to determine the respective weights of the chosen landscape metrics in this model. Fractal dimension was ultimately applied to verify the chosen optimum scale of our study region. The results indicated that 60 m is confirmed to be the optimum scale for capturing the spatial variability of land use patterns in this study area.     

四川盆地下古生界硅质页岩层系中硅质来源及其对有机质保存的影响初探

四川盆地下古生界两套硅质页岩层系是其重要的页岩气产层,五峰组—龙马溪组硅质含量与TOC及含气量呈正相关性,暗示硅质矿物对该地区页岩气的生成具有重要意义。但硅质来源复杂,且存在后期硅质流体的注入。因此,本文在总结前人的研究成果基础上,对四川盆地寒武系底部硅质岩系与五峰组—龙马溪组硅质岩系的硅质特征进行了详细的岩石学分析,揭示了3种硅质来源特征：①同沉积无机硅质流体;②生物硅;③后期无机硅质流体。其中寒武系底部以同沉积无机硅质流体与生物硅来源为主,同沉积硅质流体导致有机质快速石化埋藏,有机质内部结构及形态保存较好;五峰组—龙马溪组硅质来源以后期无机硅质流体与生物硅来源为主,有机质在保存过程中受硅质流体的影响很小,有机质腐泥化作用充分,内部结构和形态多数保存较差。该研究初步揭示了两套页岩层系的硅质发育岩石学特征,及其对有机质保存的影响,期望能为四川盆地两套页岩气储层差异性提供新的思路与基础地质数据。     

尼泊尔低喜马拉雅推覆带油源对比及油气成藏

尼泊尔低喜马拉雅推覆带油气苗来源不清极大地影响了该区油气勘探.在地质-地球物理综合调查的基础上,利用油气地球化学、碳同位素及生烃史模拟对尼泊尔代莱克地区油源和成藏过程进行了研究.结果表明:①尼泊尔代莱克地区油苗产于Padukasthan断裂,可分两期,第一期呈含油断层泥产出,氯仿沥青"A"为149～231 μg/g,RR.为0.81％,氯仿沥青"A"的δ13C相对较重(-26.24‰～-27.10‰),族组分具有正碳同位素序列,发黄绿色荧光,为典型的低熟煤成油,第二期呈液态油产出并遭受微生物降解,金刚烷IMD指数为0.33～0.45,R.为1.24％～1.53％,3,4-DMD含量46％～47％,全油δ13C为-29.50‰～-29.45‰,族组分碳同位素趋于一致,发蓝色荧光,为海相成因高熟油;②第一期油来源于Surkhet群的Melpani组和Gondwana群煤系烃源岩,为Ⅲ型有机质低熟阶段的产物,第二期来源于Surkhet群的Swat组浅海陆棚相黑色页岩,为Ⅱ1型有机质生油高峰的产物,两期油与Lakharpata群过成熟黑色泥岩和Siwalik群未熟泥岩没有亲缘关系;③尼泊尔低喜马拉雅推覆带具有"多源多期、推覆增熟、砂体控储、披覆控聚"的油气成藏模式,油气成藏过程可划分为沉积浅埋、构造圈闭形成、深埋油藏形成、气藏形成和晚期改造定型5个演化阶段;④尼泊尔低喜马拉雅推覆有利于Gondwana群、Surkhet群深埋增温、持续快速生烃和晚期成藏,对比邻区巴基斯坦的含油气盆地,尼泊尔低喜马拉雅推覆带及相邻类似地区具备良好的油气成藏条件.