Mapping landslide susceptibility from small datasets: A case study in the Pays de Herve (E Belgium)

A landslide susceptibility map is proposed for the Pays de Herve (E Belgium), where large landslides affect Cretaceous clay outcrop areas. Based on a Bayesian approach, this GIS-supported probabilistic map identifies the areas most susceptible to deep landslides. The database is comprised of the source areas of ten pre-existing landslides (i.e. a sample of 154 grid cells) and of six environmental data layers, namely lithology, proximity to active faults, slope angle and aspect, elevation and distance to the nearest valley-floor. A 30-m-resolution DEM from the Belgian National Geographical Institute is used for the analysis. Owing to the small size of the sample, a special cross-validation procedure of the susceptibility map is performed, which uses in an iterative way each of the landslides to test the predictive power of the map derived from the other landslides. Four different sets of variables are used to produce four susceptibility maps, whose prediction curves are compared. While the prediction rates associated with the models not involving the “proximity to active fault” criterion are comparable to those of the models considering this variable, strong weaknesses inherent in the fault data on which the latter rely suggest that the final susceptibility map should be based on a model that excludes any reference to fault. This highlights the difference between a triggering factor and determining factors, and in the same time broadens the scope of the produced map. A single reactivated slide is also used to test the possibility of predicting future reactivation of existing landslides in the area. Finally, the need for geomorphological control over the mathematical treatment is underlined in order to obtain realistic prediction maps.     

城市山洪灾害多目标评估方法探讨

本文针对目前城市山洪灾害的突出问题, 分析了国内外研究状况和发展趋势; 探讨了城市 山洪灾害多目标评估系统方法,包括山洪灾害泛滥范围的危险区划、城市易损性分析、城市山洪 灾害损失评估和风险评价四个主要内容。关于山洪孕灾环境、致灾因子和承灾体的社会经济状 况, 本研究提出一套基于GIS 的从数据采集→空间属性数据库建立→评价指标体系选择→预测 评价分析→山洪灾害危险性评价与风险区划的技术路线和方法体系。山洪灾害危险区划采用地 貌学和数值模拟方法; 以高分辨率遥感卫星影像为数据源, 分析了城市土地覆盖类型, 应用GIS 进行了山洪灾害损失评估和风险评价。山洪灾害多目标评估可用于指导城市洪泛区不同危险、风 险地带的土地利用规划与决策, 从而达到规避风险和减灾的目的, 并为山洪灾害影响区的居民提 供灾害风险信息, 以作为避难和防洪的依据。     

Mapping seabird nesting habitats in Franz Josef Land, Russian High Arctic, using digital Landsat Thematic Mapper imagery

Supervised classification of digital Landsat satellite images was used to locate seabird nesting habitats in the Russian High Arctic archipelago of Franz Josef Land, a region where the avifauna is poorly known and ecologically vulnerable. Major seabird nesting colonies are readily identifiable in Landsat Thematic Mapper (TM) imagery of the region due primarily to the distinctive spectral signature of vegetation on ornithogenically altered soils below bird cliffs. Supervised image classification was used to pinpoint areas displaying spectral characteristics typical of documented seabird nesting habitats. A total of 101 seabird nesting colony locations identified in Russian and Western literature from 1898 to 1996 was used as training sites to develop spectral signatures from a summer TM image mosaic for use in a supervised maximum likelihood classification. The classified image was thresholded and compared to a map of documented nesting locations. Of the 101 field-documented nesting sites, 96 were clearly identified in the classified image. An inventory was produced of all undocumented seabird habitats suggested by the classification, totalling over 300 sites. The methodology used may be applicable to other arctic regions and is intended as a first step when planning ecological protection zones in remote and inaccessible arctic regions.     

GIS‐based route planning in landslide‐prone areas

Many parts of the world with young mountain chains, such as the Himalayas, are highly susceptible to landslides. Due to general ruggedness and steep slopes, roads provide the only way of transportation and connectivity in such terrains. Generally, landslide hazards are overlooked during route planning. In this study, in a test area in the Himalayas, various thematic layers, viz. landslide distribution, landslide hazard zonation, landuse/landcover, drainage order and lithology are generated and integrated using Remote Sensing–GIS techniques. The integrated data layer in raster form has been called a ‘thematic cost map’ and provides an estimate of the cost of route development and maintenance. The relative cost assignment is based on experts' knowledge. Route planning is based on neighbourhood analysis to find various movement possibilities from a pixel to its immediate neighbours. A number of patterns such as those analogous to movements in chess games have been considered. Two new neighbourhood patterns, named here Knight31 and Knight32, have been conceived in addition to commonly used Rook, Bishop and Knight patterns. The neighbourhood movement cost for moving from one pixel to a connected neighbour has been calculated for a 7×7 pixel window considering distance, gradient cost and thematic cost. Dijkstra's algorithm has been applied to compute the least‐cost route between source and destination points. A few examples are presented to show the utility of this approach for a landslide‐safe automatic route planning for a highly rugged hilly terrain.     

Conservation of Korean Rural Heritage through the Use of Ecomuseums

Rural heritage that involves agricultural heritage could be critical to enhancing community identity through a conservational approach. The purpose of this research is to develop conservational methods for rural heritage that include agricultural heritage areas through the use of ecomuseums. To conduct the research, we first reviewed the concepts of ecomuseum and rural heritage. Secondly, we defined the concept of the Korean rural ecomuseum by taking into consideration the concept defined by Riviere, Globally Important Agricultural Heritage Systems (GIAHS), the rural heritage policy of Europe, and the agricultural heritage systems of Korea. Thirdly, we also describe methods that are applicable to Korean rural ecomuseums, which include type classification and components. Finally, we applied the ecomuseum concept to two pilot models in the Cheongsando and Gurae areas, both Korea Important Agricultural Heritage System (KIAHS) sites. We conclude that it is desirable to expand the range of targets for conservation from agricultural heritage to rural heritage areas. From this point of view, the rural ecomuseum can be a highly valuable tool that can help preserve agricultural heritage sites and neighboring areas. Furthermore, the ecomuseum can enhance community identities, and strengthen local economies.     

京津冀地区县域单元地质灾害风险评估

以京津冀地区为例,探索县域单元的地质灾害风险评估方法。通过测算地质灾害危险性与承灾体易损性,以定性综合评估的方式实现县域单元地质灾害风险评估。实际评估中,将承灾体易损性分为人口安全易损性与资产易损性,分别用因灾死亡人口比与因灾直接经济损失比加以表征;再以国土资源部2001-2015年地质灾害灾情数据为基础,参考1950-2000年灾情数据,提出人口安全易损性与资产易损性的分级标准,并在京津冀地区进行了评估。结果表明：研究区整体地质灾害风险低,204个评估单元中仅有6个为中风险区,包括河北省涞源县、涞水县、武安市、青龙满族自治县、北京石景山区、延庆区,其余198个为低风险区,与实际情况相符。此方法快捷简便、数据可连续获取,符合建立资源环境承载能力监测预警机制要求。空间差异化评估结果可为主动防灾减灾、国土空间管理提供支撑。     

城市山洪灾害风险评价——以云南省文山县城为例

山洪灾害风险评价对于减灾防灾决策和管理非常重要。本文介绍基于遥感和GIS方法的应用,探讨一种快速、简便而且较为准确的城市山洪灾害风险评价方法。以发生于1998年7月26日文山城20年一遇山洪灾害为实例,将GIS的数字高程模型与实测的山洪水位和洪峰流量结合进行淹没分析,研究表明采用该方法可以模拟准确山洪泛滥范围,并计算淹没水深分布。根据不同水深指标,应用GIS工具完成了山洪灾害危险分区。本研究利用高分辨率遥感影像提供承灾体类型的可靠和准确数据用于易损性分析和期望损失评估的价值计算。根据典型区财产损失的抽样调查,建立了不同承灾体类型与水深的关系,并确定其损失率;应用GIS空间数据处理和分析的集成方法完成了复杂的损失评估。在此基础上,按期望损失程度进行分区划分而完成山洪风险评价。研究结果表明基于GIS和RS方法进行山洪风险评价效果良好,值得推广应用于其他洪水泛滥区。     

Artificial neural networks and cluster analysis in landslide susceptibility zonation

A landslide susceptibility analysis is performed by means of Artificial Neural Network (ANN) and Cluster Analysis (CA). This kind of analysis is aimed at using ANNs to model the complex non linear relationships between mass movements and conditioning factors for susceptibility zonation, in order to identify unstable areas. The proposed method adopts CA to improve the selection of training, validation, and test records from data, managed within a Geographic Information System (GIS). In particular, we introduce a domain-specific distance measure in cluster formation. Clustering is used in data pre-processing to select non landslide records and is performed on the whole dataset, excluding the test set landslides. Susceptibility analysis is carried out by means of ANNs on the so-generated data and compared with the common strategy to select random non-landslide samples from pixels without landslides. The proposed method has been applied in the Brembilla Municipality, a landslide-prone area in the Southern Alps, Italy. The results show significant differences between the two sampling methods: the classification of the test set, previously separated and excluded from the training data, is always better when the non-landslide patterns are obtained using the proposed cluster sampling. The case study validates that, by means of a domain-specific distance measure in cluster formation, it is possible to introduce expert knowledge into the black-box modelling method, implemented by ANNs, to improve the predictive capability and the robustness of the models obtained.     

Some observations of intertidal communities on Spitsbergen (79°N), Norwegian Arctic

The zonation pattern of rocky shores on north-west Spitsbergen is described. Intertidal communities on protected sites have features remarkably similar to temperate areas. Black lichens dominate the littoral fringe, fucoids and gastropods the eulittoral zone, whereas upper sublittoral zone is occupied by kelp. The species composition seems to be typical for the Atlantic arctic areas.     

怒江干流（云南段）滑坡灾害危险性分析

滑坡是怒江流域主要的地质灾害,对流域内人民生命财产和生态系统安全带来了极大的危害,因此本研究针对研究区内滑坡灾害主要诱发因子进行判识。利用1991～2006年云南省减灾年鉴、长系列流域内相关站点的年平均降雨量、2006年云南省1：5万的TM影像数据等,以GIS技术为平台对其相关因子关联性进行统计与分析。研究发现：沿怒江干流发生的滑坡灾害主要受到坡度、植被盖度、降雨强度及公路建设等因子的影响,分析灾害点的分布与相关因子间的相关性,发现相关性比较密切的是坡度〉25。的地带;植被盖度为30％～70％的地带;年降水量达到1250—1500mm的地带,以及公路沿线的地带,并以相关性作为灾害发生风险度评价的权重,建立了基于GIS的滑坡灾害危险性评价模型,实现了对怒江干流区域滑坡灾害危险性区划。     

太白山北坡成土因素及不同土壤垂直带谱的比较

在系统地考察太白山北坡地质、地貌、气候和植被等成土因素的基础上,总结和回顾了用土壤发生分类和土壤系统分类两种分类体系划定的太白山北坡土壤垂直带谱。根据最新的土壤系统分类,太白山北坡的土壤垂直带谱是:暗瘠寒冻雏形土(3500～3767m)———暗沃寒冻雏形土(3300～3500m)———酸性湿润雏形土(2500～3300m)———简育湿润淋溶土(1400～2500m)———简育干润淋溶土(<1400m)。分析、比较表明:两种体系有密切联系,均以成土因素为依据,建立在土壤发生学理论之上;与土壤地理发生分类相比,土壤系统分类用可以度量的诊断层和诊断特性进行土壤分类,不仅能够反映出山地土壤成土因素的垂直变化趋势,而且避免了太白山北坡土壤类型鉴定上的许多歧义。     

2003年中国西南山区典型灾害性暴雨泥石流运动堆积特征

2003年发生在中国西南山区的大规模泥石流为典型的灾害性暴雨泥石流,造成了巨大的经济损失和人员伤亡。作者实地考察其中7条造成较大损失的典型泥石流沟,分析得出,这一地区泥石流的流速一般都比较大,流量变化也比较大,流量大小与流域面积相关,总体上流量随流域面积的增大有增加的趋势,但流量与面积并非正相关关系。同时,在这些流域的堆积物的组成中,粗大颗粒极多,最大的颗粒普遍比较大,另外漂石含量很高。粘性泥石流中砾石含量相对于中国西南山区其它粘性泥石流较低,砂砾含量相对较高,大部分泥石流堆积物的有效粒径(d₁₀)。     

青藏铁路格拉段典型沙害路段风沙地貌专题图编制

随着青藏铁路全线开通,风沙危害已成为影响铁路安全运营的主要环境问题之一。铁路沿线风沙危害路段主要集中在措那湖、沱沱河、北麓河等地。基于高分辨率卫星遥感影像QuickBird数据,通过野外实地勘察,同时参考Google Earth影像和DEM数据,绘制了3个典型沙害路段的风沙地貌专题图,地貌图比例尺为1:50000,采用二级分类系统,一级类为6个,共包含18个二级类。由于青藏铁路地处西风带中部急流区,风力强劲;铁路沿线生态环境脆弱、地表类型复杂,冻融和风蚀时空交错,地表沙物质丰富,风沙活动强烈而频繁,铁路沙害正呈现出迅速增长的态势。鉴于此,很有必要绘制青藏铁路沿线风沙灾害现状及防治措施布局的专题地图,为科学合理地制定青藏铁路沿线风沙危害综合防护体系提供依据。     

酸性硫酸盐土的酸害暴发机制及其环境影响

酸性硫酸盐土广泛分布于热带亚热带滨海地区,当其中的硫铁矿物质与空气接触或直接暴露地表时会发生氧化而形成强烈酸害,从而导致土壤、水、大气和区域生态系统的退化,最终对动植物生长和人类的健康产生较大影响而成为全球性的热带亚热带滨海环境问题。酸性硫酸盐土的酸害暴发主要包括：（１）硫铁矿的形成、累积与埋藏过程;（２）硫铁矿的氧化与致酸过程;（３）土壤对酸的中和与缓冲过程;（４）土壤中酸的稀释与迁移过程。酸性硫酸盐土的酸害影响是上述四个过程相对强弱与综合作用的结果。酸性硫酸盐土酸害暴发可导致区域土壤环境、水环境和大气环境的酸化,以及大量金属与重金属元素的溶解与释放,引起生物生存环境的恶化与栖息地的丧失,动植物出现变态生长,而且疾病频繁,生产力下降,区域生态系统的结构和功能发生异常,生物多样性下降。     

西藏地质灾害易发性及对水能开发适宜度影响

西藏自治区是中国水能资源的战略储备库与未来重点开发区域,然而该区域地质灾害频发,给水能开发带来极大挑战,亟需系统研究。本文综合考虑西藏地区地质地貌、水文气象和植被覆盖等致灾因子,基于最大熵（MaxEnt）模型分析泥石流、崩塌、滑坡等典型地质灾害的易发性,结合水能资源分布禀赋,实现西藏地区水能开发适宜度评价。结果表明,雅鲁藏布江大拐弯羌纳—帮辛段水能开发适宜度最高,可优先开发;雅鲁藏布江上游夏如—拉孜段、怒江中游马利—林卡段、中林卡—察瓦龙段、支流伟曲河田妥—碧土段、澜沧江中游察雅—措瓦段、如美—盐井段、金沙江上段木协—戈波段、喜马拉雅山脉朋曲河流域为高水能开发高风险地区,需谨慎开发;雅鲁藏布江中游仁布—曲水段、易贡藏布忠玉—易贡段、察隅河下察隅以南段、朗钦藏布下游段为中水能开发低风险区,可根据需求局部开发或暂缓开发;其余区域水能开发适宜度较低,不建议开发。本文针对西藏地区提出一种快速有效的水能开发适宜度评价体系,可为该区域水能开发规划提供科学依据。     

金沙江流域(云南境内)山地灾害危险性评价

云南境内的金沙江流域是斜坡不稳定的敏感区,根据1988-2000年的区域调查和统计,区内发育山地灾害点1697处,其中流域面积大于1km2的泥石流沟808条,体积大于1×104m3的滑坡580处,体积大于1000m3的崩塌309处。用于山地灾害危险性评价的主要敏感因子包括岩土体类型、山坡坡度、降雨、土地利用、地震烈度和人类活动。在对这些因子进行了敏感性评价的基础上,应用GIS对敏感因子集成评价而产生了云南金沙江流域山地灾害危险性评价图。评价结果表明:高危险区面积占全区面积6464km2的8 77%,中危险区占全区总面积的41 51%,低危险区占41 12%,无危险区占8 60%。山地灾害危险性评价图可以帮助规划者或工程师在土地发展规划中选择最佳建设场所,以减轻灾害的影响。     

A Comparison of Moisture Scalars and Water Budget Methods to Assess Vegetation-Site Relationships

Quantification of vegetation-site relationships is often required in biogeographic research. Methods linking species to particular sites typically assess evaporative demand and soil moisture availability at the site, though methods differ in how these factors are assessed. This study compares three approaches—a water-budget approach, and field-based and map-based moisture scalars—in their ability to predict the occurrence of a single species, American beech (Fagus grandifolia), observed in 102, 0.04 ha plots in SE Ohio. Actual evapotranspiration and deficit provided results superior to field-based and map-based scalars. Map-based techniques are potentially limited at fine spatial scales, due to the large discrepancy between observed topographic variables, and those modeled with 7.5-minute elevation grids. The study concludes that a water budget approach is applicable to a wide range of studies exploring vegetation-site linkages. It has advantages of being objective in its computation, and applicable at a wide range of spatial scales. Perhaps most importantly with regard to global change research is the dynamic nature of the method: a site's classification will change concurrently with changes in climate.     

基于SPEIbase v.2.6数据集的内蒙古旱灾危险性评价

为明确内蒙古地区不同时间尺度旱灾危险性分布特征,选取内蒙古地区1949—2018年SPEIbase v.2.6数据集,利用Theil-Sen趋势分析和Mann-Kendall检验法分析气象干旱时空演变特征,并基于干旱多年平均强度与加权综合评价模型,对研究区年、季节尺度的旱灾危险性进行了评价。结果表明：无论是年际变化还是在空间上,内蒙古年尺度和春、夏、秋3个季节尺度的气候整体呈显著干旱趋势;研究区以中等及以上等级的年尺度旱灾危险性为主,占总面积的71%。其中,高、极高危险性区域主要位于呼伦贝尔市和锡林郭勒盟东部;在春、夏两季,内蒙古干旱灾害危险性空间分布呈“北高南低”,高等级的危险性主要位于锡林郭勒草原和地处干旱区的阿拉善盟;秋、冬两季的高等级危险性区域显著减少,尤其是冬季,以东北地区的低、极低危险性为主要特征,与其干旱趋势变化特征较为一致。研究结果可为内蒙古地区干旱灾害风险管理提供参考依据。     

云南省武定县地质灾害发育规律及其防治对策研究

武定县属抬升区,新构造运动较强烈,在野外调查的基础上,运用环境与灾害地质学的原理和方法,对境内地质灾害类型、空间分布特征及其成因和影响因素进行了分析,武定县具一定规模和危害的地质灾害点144处,北部相对集中分布,认为武定县地质灾害类型多样,活动频繁,灾情较重,并提出了防治对策,为武定县的地质灾害防治和减少人民生命财产的损失,提供了一定的参考依据.     

生态水文阈值在中国沙区人工植被生态系统管理中的意义

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