甘肃白银厂矿区及其外围铜矿床成矿特征与定量预测

北祁连地区是我国重要的海相火山成因铜多金属块状硫化物矿床成矿带,位于该区东段的白银矿田内产出有多个大型-特大型VMS矿床,具有较好的找矿前景.在该地区铜矿床成矿特征研究的基础上,利用GIS技术提取与成矿有关的地层、构造、岩浆岩、地球化学等多元找矿信息,构建了白银矿区及外围铜矿床的证据权重找矿模型,利用后验概率圈定出找矿远景区,按照各找矿远景区相对成矿可能性的大小和各找矿标志将远景区分为Ⅰ、Ⅱ、Ⅲ3级,各级找矿远景区各3个.     

花岗岩类土质边坡工程特性及加固方法研究

华南、华东南地区具有厚度可达上百米的花岗岩风化残积层。高等级公路、铁路的规模建设在该地区形成了大量的花岗岩类土质高边坡。深入认识该类边坡的工程特性并提出有效的针对性边坡加固方法,对该地区公路、铁路的安全建设和正常运营具有重要意义。为了更有效指导该类边坡的稳定性分析及边坡设计,本文深入调查分析了广东和广西境内4条高等级公路沿线的44处花岗岩类土质边坡特征及其稳定性,认为控制该类边坡稳定性的因素主要有:土体的均匀性、岩脉(墙)及花岗岩球状硬核的分布情况、坡体中保留的结构面是否对坡体稳定性起控制作用。继而依据这些因素把花岗岩类土质边坡划分为岩脉(墙)隔挡型边坡、网状结构型边坡、外倾结构型边坡、浮石型边坡4种类型。深入分析了每种类型边坡的坡体结构特征、稳定特性,针对性地提出了边坡稳定性分析中应重点考虑的因素。认为花岗岩类土质边坡的土质及坡体结构特征,造成了该类边坡开挖临时自稳性较好,但具有较强的开挖卸荷效应和较弱的抗冲刷能力。最后针对每种类型的花岗岩类土质边坡,提出了相应的设计方案建议。基于花岗岩类土质边坡良好的临时自稳性,认为可进行陡开挖强支护设计,同时强调逐级开挖逐级支护、加强坡面防冲刷、边坡护脚及压顶、边坡截排水等设计建议。     

A lithological assessment of the resistivity data acquired during the airborne geophysical survey of Anglesey,North Wales

A recent airborne geophysical survey has provided high resolution estimates of the electrical resistivity of the near-surface and deeper (bedrock) formations found across Anglesey and a portion of the coastal area of North Wales. This single small survey provides new geophysical information on both the complex configuration of the Neoproterozoic and Cambrian bedrock units and the shallow near-surface geology and glacial features.     

江西萍乐坳陷带西段早三叠世地层划分与对比及沉积环境分析

萍乡—宜春一带地处萍乐坳陷带西段,早三叠世地层广泛发育,长期以来对其地层单元划分、时代归属、分布范围、名称使用均不统一,给萍乐坳陷西段的研究工作带来诸多问题。笔者通过萍乐坳陷带西段萍乡—宜春一带1∶5万区域地质调查,首次系统地从岩石地层、生物地层方面对早三叠世地层进行了划分与对比,将该地区早三叠世地层自下而上划分为:殷坑组、青龙组、周冲村组,又将周冲村组进一步划分为四个段,并依据牙形石成果资料,将殷坑组、青龙组、周冲村组一段定为印度阶,周冲村组二段至四段定为奥伦尼克阶。同时根据岩性组合及沉积相特征对其沉积环境进行了分析,认为该地区早三叠世沉积环境为"台-坡-盆"古地貌结构的"陆缘海"。     

基于岩体精细化描述的围岩分类及力学参数概率分布特征分析

针对目前水电站地下厂房工程中不同围岩分类方法存在评价结果不一致、围岩力学参数存在室内试验值与实际情况不吻合的现象,现推荐采用岩体精细化描述体系对围岩岩体结构进行定量化评价。将常用围岩分类方法(RMR、Q、RMi、GSI、BQ、HC)评价指标予以归纳分组,并通过各组内不同指标对比分析获得围岩分类方法中的基础评价指标。以大岗山水电站主厂房某区段为分析对象,采取现场岩体精细化地质素描与后期数据挖掘、拟合相结合方法,并依据评价指标间的关联关系,获得了基础、非基础评价指标的分布概型及对应参数,实现对该段围岩岩体精细化描述认知;基于精细化描述结果,应用Monte Carlo法生成符合各评价指标分布概型的大量随机数,而后参照各分类方法评价思路与评分流程,得到评价指标在各分类方法对应的大量随机评分值,通过归纳统计获得不同围岩分类方法评价结果的分布概型;基于各围岩分类方法评价结果与力学参数值之间的关联关系实现对力学参数概率特征分析。该分析方法与思路可为类似工程围岩质量及力学参数的精确确定提供一定借鉴,并可为实现围岩支护极限状态设计提供必要的原始参数支持。     

西南地区传统村落区域保护水平评价及影响因素

本文在理论层面构建传统村落保护研究模型,并以西南地区为例,分析宏观视角下传统村落区域保护水平及影响因素。结论显示：① 传统村落保护研究模型涵盖评价体系和影响因素两个子模型。评价体系模型包含从宏观到微观的传统村落时空分布、整体保护水平和单一属性3个层次,其中整体保护水平分为宏观区域和微观社区两个亚层,保存率和分布密度是评价区域保护水平的简易方法;影响因素模型包含基于时间、空间和类型划分的两类基本分析模型。② 西南地区传统村落区域保护水平呈现显著空间分异,在行政区划边界地区形成5个热点集聚区,丽江市传统村落保存率最高,黔东南州分布密度最高。③ 影响西南地区传统村落宏观保护水平的地理区位因素为海拔、水系、中心城市和交通干道。经济社会因素中,非遗规模是最重要的影响因素,人口密度、经济发展、交通建设、交通流动和非遗规模的相关系数存在显著空间分异,城镇化率、产业结构对于区域保护水平无显著影响。本文是对传统村落保护理论体系由个案向整体、由微观向宏观、由零散向系统、由单一向多元方法的推进,具有重要理论和实践价值。     

旅游驱动型传统村落“三生”空间功能更新的特征、模式与逻辑——以湖南省张谷英村为例

以湖南省传统村落张谷英村为例,利用GIS技术构造土地利用转移矩阵,探讨旅游驱动型传统村落“三生”空间功能更新特征和逻辑模式。结果表明：1）张谷英村“三生”功能更新主要表现出生活功能产居一体化、生产功能旅游化、生态功能景观化、旅游功能多样化的旅游适应性特征及圈层分化和阶段有序的时空分异特征。2）张谷英村通过生活空间的人文景观开发与民俗文脉挖掘、生产空间的多元高质旅游服务模块构建、生态空间的生态环境保育与自然景观修复,实现传统物质空间的旅游功能更新和功能融合发展。3）旅游驱动型乡村社会通过供需关系构建、示范效应延伸、主客交往反馈,扩展功能更新范围、加深功能更新程度、提升多元功能质量。“三生”功能的更新存在一种相互促进、相互演化的共生耦合关系,其旅游化过程体现了空间结构有序变迁和空间属性质量提升的协同演化进程,以多功能交互、多层次联动的综合路径推助乡村振兴。     

Classification and detection of dominant factors in geospatial patterns of traditional settlements in China

Journal of Geographical Sciences - The geospatial distribution pattern in traditional Chinese settlements (TCSs) reflects the traditional harmony between humans and nature, which has been learned...     

Remote sensing of scattered Natura 2000 habitats using a one-class classifier

Mapping of habitats with relevance for nature conservation involves the identification of patches of target habitats in a complex mosaic of vegetation types not relevant for conservation planning. Limiting the necessary ground reference to a small sample of target habitats would greatly reduce and therefore support the field mapping effort. We thus aim to answer in this study the question: can semi-automated remote sensing methods help to map such patches without the need of ground references from sites not relevant for nature conservation? Approaches able to fulfill this task may help to improve the efficiency of large scale mapping and monitoring programs such as requested for the European Habitat Directive.In the present study, we used the maximum-entropy based classification approach Maxent to map four habitat types across a patchy landscape of 1000 km² near Munich, Germany. This task was conducted using the low number of 125 ground reference points only along with easily available multi-seasonal RapidEye satellite imagery. Encountered problems include the non-stationarity of habitat reflectance due to different phenological development across space, continuous transitions between the habitats and the need for improved methods for detailed validation.The result of the tested approach is a habitat map with an overall accuracy of 70%. The rather simple and affordable approach can thus be recommended for a first survey of previously unmapped areas, as a tool for identifying potential gaps in existing habitat inventories and as a first check for changes in the distribution of habitats.     

Quantifying uncertainty in remote sensing-based urban land-use mapping

Land-use/land-cover information constitutes an important component in the calibration of many urban growth models. Typically, the model building involves a process of historic calibration based on time series of land-use maps. Medium-resolution satellite imagery is an interesting source for obtaining data on land-use change, yet inferring information on the use of urbanised spaces from these images is a challenging task that is subject to different types of uncertainty. Quantifying and reducing the uncertainties in land-use mapping and land-use change model parameter assessment are therefore crucial to improve the reliability of urban growth models relying on these data. In this paper, a remote sensing-based land-use mapping approach is adopted, consisting of two stages: (i) estimating impervious surface cover at sub-pixel level through linear regression unmixing and (ii) inferring urban land use from urban form using metrics describing the spatial structure of the built-up area, together with address data. The focus lies on quantifying the uncertainty involved in this approach. Both stages of the land-use mapping process are subjected to Monte Carlo simulation to assess their relative contribution to and their combined impact on the uncertainty in the derived land-use maps. The robustness to uncertainty of the land-use mapping strategy is addressed by comparing the most likely land-use maps obtained from the simulation with the original land-use map, obtained without taking uncertainty into account. The approach was applied on the Brussels-Capital Region and the central part of the Flanders region (Belgium), covering the city of Antwerp, using a time series of SPOT data for 1996, 2005 and 2012. Although the most likely land-use map obtained from the simulation is very similar to the original land-use map – indicating absence of bias in the mapping process – it is shown that the errors related to the impervious surface sub-pixel fraction estimation have a strong impact on the land-use map's uncertainty. Hence, uncertainties observed in the derived land-use maps should be taken into account when using these maps as an input for modelling of urban growth.