The use of digital technologies for landslide disaster risk research and disaster risk management: progress and prospects

Landslide is a serious natural disaster next only to earthquake and flood, which will cause a great threat to people’s lives and property safety. The traditional research of landslide disaster based on experience-driven or statistical model and its assessment results are subjective , difficult to quantify, and no pertinence. As a new research method for landslide susceptibility assessment, machine learning can greatly improve the landslide susceptibility model’s accuracy by constructing statistical models. Taking Western Henan for example, the study selected 16 landslide influencing factors such as topography, geological environment, hydrological conditions, and human activities, and 11 landslide factors with the most significant influence on the landslide were selected by the recursive feature elimination (RFE) method. Five machine learning methods [Support Vector Machines (SVM), Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Linear Discriminant Analysis (LDA)] were used to construct the spatial distribution model of landslide susceptibility. The models were evaluated by the receiver operating characteristic curve and statistical index. After analysis and comparison, the XGBoost model (AUC 0.8759) performed the best and was suitable for dealing with regression problems. The model had a high adaptability to landslide data. According to the landslide susceptibility map of the five models, the overall distribution can be observed. The extremely high and high susceptibility areas are distributed in the Funiu Mountain range in the southwest, the Xiaoshan Mountain range in the west, and the Yellow River Basin in the north. These areas have large terrain fluctuations, complicated geological structural environments and frequent human engineering activities. The extremely high and highly prone areas were 12043.3 km² and 3087.45 km², accounting for 47.61% and 12.20% of the total area of the study area, respectively. Our study reflects the distribution of landslide susceptibility in western Henan Province, which provides a scientific basis for regional disaster warning, prediction, and resource protection. The study has important practical significance for subsequent landslide disaster management.     

大香格里拉地区旅游开发模式比较分析

大香格里拉地区指青藏高原东南部横断山区的主体部分,行政上包括藏东南、滇西北、川西南。这里是世界 上少有的生物多样性和文化多样性中心之一,含有特别丰富的旅游资源。根据实地调查和分析,本文将大香格里拉 地区现存的开发模式归纳成三类：明永模式、海螺沟模式和玉龙雪山模式,并对其进行了具体分析。认为明永模式 比较成功,有利于自然保护和增加当地居民收入;几个模式普遍存在的问题包括：大部分都过分追求经济效益;景 区管理存在严重的体制问题,特别是行政权、经营权、所有权三权混淆;国家所有权受到条块的多元分割,国家作为 国有资源所有者代表的地位模糊。同时建议国家人大常委会加强对世界遗产、国家自然保护区、国家地质公园、国 家级风景名胜区等这一类遗产类景区的立法工作,并建立严格监督和管理体系,禁止采取企业化经营模式;尊重和 发挥传统的民族宗教信仰和禁忌在保护自然中的作用;积极鼓励社区居民参与保护和监督;扶持和培育环境NGO, 提高民众的生态和环境保护意识,促进大香格里拉地区的可持续发展。     

佘山重力垂直梯度偏小的原因及其对大地测量的影响

根据推导的公式计算了由山体质量引起的梯度效应,结果与实测值甚为接近。分析了佘山重力垂直梯度偏小的原因,认为这是由于山体质量分布引起的。最后讨论了垂直梯度偏小对重力值的高度归算和大地水准面的影响。     

LAST GLACIATION AND MAXIMUM GLACIATION IN THE QINGHAI-XIZANG (TIBET) PLATEAU: A CONTROVERSY TO M. KUHLE,S ICE SHEET HYPOTHESIS

Since the late 1950's, many Chinese scientists have explored the remains of the Quaternary glaciation in the Qinghai-Xizang (Tibet) Plateau and its surrounding mountains. In the main, 3-4 glaciations have been recognized. The largest one occurred in the Late Middle Pleistocene with piedmont glaciers, ice caps and trellis valley glaciers in many high peak regions. But here is no evidence of a unified ice sheet covering the whole plateau as described by M. Kuhle. Due to the further uplifting of the Himalayas and Qinghai-Xizang Plateau the climate became progressively drier, diminishing the extension of glaciers during the Late Pleistocene. The elevation of the snow line during the Last Glaciation was about 4,000 m on the south, east and northeast edges of the plateau and ascended to 5500 m on the hinder northwest of the plateau. The thermal effect of the big plateau massif, the sharp increase of aridity from the southeast rim to the northwest inland area and the abrupt decrease of precipitation during the     

鄂拉山东北段都龙超单元地质特征

都龙超单元是一个大型中酸性复式岩体,具成分和结构演化序列。根据同源岩浆演化的理论,结合岩石化学、地球化学、包体特征及各侵入体的接触关系等,将该岩体进行了系统的解体,圈定出23个大小不等的侵入体,进一步归并为5个单元和一个超单元,建立了区内的岩石谱系单位。并对超单元的成因类型和就位机制进行了探讨,认为该岩体是同一大地构造环境下同源岩浆多次脉(涌)动形成的超单元。     

广西军事体育学校膨胀岩山体滑坡整治的反思

膨胀岩（土）病害是一种特殊的工程地质现象。文章通过对广西军体校膨胀岩山体滑坡的整治经验进行总结,探讨其成因机理,提出对整治设计的一些看法     

昆仑山8.1级地震前中国大陆的构造应变背景

利用“网络工程”1998～2001年累积的1181个测站的GPS重复观测资料，采用双三次样条函数模型建立中国大陆水平运动模型速度场，用大地坐标在椭球面上计算各类应变场，详细分析了2001年昆仑山8．1级地震前中国大陆水平构造应变场空间分布特征。各类构造应变场的最高值都出现在喜马拉雅构造带与昆仑山地块内(地震断裂带南侧)，鲜水河—安宁河断裂带次之。分析表明，昆仑山8．1级地震正好发生在张性面膨胀应变率的高值区，第一、第二和最大剪应变率高值区边缘的突变区和最大、最小主应变率的高值区。     

大别山及其周边现今垂直形变研究

基于1980年、2005年和2015年3期区域精密水准网观测资料,利用线性动态平差模型计算获取大别山地区水准网长期垂直运动速度场图像。研究发现,淮河平原地表下沉较为严重,大别山呈现弱隆升趋势运动,长江谷地边缘地区较大别山区呈现明显的隆升运动。跨郯庐断裂带水准剖面结果显示,垂直运动与地形呈负相关和弱相关。     

太行山东麓汤西断裂南段活动特征分析

采用槽探、年代样品测试、阶地调查和形变测量监测等方法，对太行山东麓汤西断裂南段进行研究，分析其活动特征。结果表明，汤西断裂发育于中更新世，历经多次活动，断裂并未上延到上更新统地层中，其南段的活动强度较高，最新活动年代为中更新世；汤西断裂西代村场地的垂直形变监测（1999~2014年）结果存在异常，综合监测点数据和区域新构造特征分析发现，该异常可能是研究区区域形变场的反映，并非由汤西断裂活动引起。     

不稳定边界层下地形重力内波

水槽实验及线性理论研究表明,当低层大气处于近中性或不稳定时,如果地形引起的动力扰动足够强,地形扰动可在上部稳定层结中激发出重力内波,波动反过来影响低层流场,引起动量输送。低层大气处于近中性或不稳定时,地形波同样对大气运动可产生波阻,这应引起模式工作者的重视。最后讨论了大气粘性对中性或不稳定层结下地形波的影响。