Hazard Assessment of Co-seismic Landslides Based on Information Value Method: A Case in 2018 MW6.6 Hokkaido Earthquake, Japan

An M_W6.6 earthquake occurred in eastern Hokkaido, Japan on September 6^th, 2018. Based on the pre-earthquake image from Google Earth and the post-earthquake image from high resolution (3 m) planet satellite, we manually interpret 9 293 coseismic landslides and select 7 influencing factors of seismic landslide, such as elevation, slope, slope direction, road distance, flow distance, peak ground acceleration (PGA) and lithology. Then, 9 293 landslide points are randomly divided into training samples and validation samples with a proportion of 7:3. In detail, the training sample has 6 505 landslide points and the validation sample has 2 788 landslide points. The hazard risk assessment of seismic landslide is conducted by using the information value method and the study area is further divided into five risk grades, including very low risk area, low risk area, moderate risk area high risk area and very high risk area. The results show that there are 7 576 landslides in high risk area and very high risk area, accounting for 81.52% of the total landslide number, and the landslide area is 22.93 km², accounting for 74.35% of the total area. The hazard zoning is in high accordance with the actual situation. The evaluation results are tested by using the curve of cumulative percentage of hazardous area and cumulative percentage of landslides number. The results show that the success rate of the information value method is 78.50% and the prediction rate is 78.43%. The evaluation results are satisfactory, indicating that the hazard risk assessment results based on information value method may provide scientific reference for landslide hazard risk assessment as well as the disaster prevention and mitigation in the study area.     

2020年1月19日伽师MS6.4地震灾害损失评估及震害特点分析

2020年1月19日新疆伽师发生M S6.4地震,造成1人死亡、2人受伤,各类建(构)筑物、公共服务设施、生命线工程等都遭受不同程度的破坏。按照国家相关标准的原则和方法,通过对本次地震现场震害调查,评估出本次地震造成的总直接经济损失为15.26亿元,灾后恢复重建经费约需20.78亿元,并且分析了本次地震震害特点。这为今后的抗震救灾和灾后重建提供了科学依据。     

贵州草海湿地不同水位梯度沉积物中汞、砷形态分布及风险评价

通过改进Tessier连续提取法对贵州草海黑颈鹤栖息地不同水位梯度下沉积物汞(Hg)、砷(As)形态及生态风险进行了研究.结果表明,草海湿地沉积物中Hg含量在0.45～1.51-mg/kg之间,超过国家土壤环境质量农用地土壤风险管控标准;形态组成上,残渣态汞(Res-Hg)有机结合态汞(Org-Hg)碳酸盐结合态(Car-Hg)铁锰氧化态(Fe-O-Hg)可交换态(Ex-Hg),不同水位梯度下含量和赋存形态在不同区域不一致.As含量在16.4～23.8-mg/kg之间,形态依次为残渣态砷(Res-As)有机结合态砷(Org-As)铁锰氧化态砷(Fe-O-As)碳酸盐结合态砷(Car-As)可交换态砷(Ex-As).-As含量与贵州省土壤背景值持平,随着水位梯度的抬升,其总量呈增加趋势,残渣态占比逐步增多,性质逐渐稳定.采用地积累指数(I_(geo))、潜在生态风险指数(E_r~i)、风险评价编码法(RAC)对Hg、As的危害程度进行分析表明,基于草海较高Hg环境背景值,Hg整体污染风险较高,As处于低水平的污染风险等级且对环境影响较小.该研究揭示了不同水位梯度下Hg、As总量及形态分布特征,对草海湿地水位抬升恢复湿地提供了参考.     

星基增强系统L1频段信息服务性能分析

在北斗全球导航服务进程中,北斗星基增强服务的建设是我国卫星导航事业自身建设和不断完善发展的内在需求,更是我国卫星导航系统标准化建设的必然要求。本文基于星基增强信息定位原理,研究并实现星基增强系统的标准定位算法,采用IGS站点数据及增强信息电文,对WAAS与EGNOS系统服务性能进行分析评估,在“陆态网络”数据处理中,加入SBAS信息也可对相关误差进行改正。结果表明,加入播发的差分改正信息定位精度相对于伪距单点定位显著提高,平面方向统计均方根残差优于1m,高程方向优于1.2m;研究发现受地面参考站分布区域以及电离层、观测星座的影响,WAAS和EGNOS在定位服务性能覆盖范围内均表现出一定的区域性。从总体分析来看,不同系统空间段GEO卫星播发SBAS消息特性不一,均满足单频定位需求,EGNOS稳定性低于WAAS系统,播发消息时有中断现象,在实时单频定位性能方面,WAAS的服务性能较EGNOS得到更优的解算结果。     

Numerical homogenization-based seismic assessment of an English-bond masonry prototype: Structural level application

A multiscale strategy is evaluated at a structural level for the analysis of unreinforced masonry structures. The mechanical characterization of the masonry is deduced from homogenization-based micro-scale finite element (FE) models. The derived data are here employed at a structural level via a discrete FE model. The discrete FE model is composed of quadrilateral rigid plates interconnected through vertical and horizontal interfaces. On the interfaces, between adjoining discrete elements, a model that accounts for the in- and out-of-plane behavior of masonry, with damage and plasticity, is adopted. Such interfaces represent the material pre- and post-peak regimes, its orthotropy, and, depending on the micro-model assumed, account by three-dimensional shear effects that are especially important for multi-leaf walls and complex regular textures. The discrete model has been implemented in an advanced structural analysis software where powerful built-in features as the arc-length method, line-search algorithm, and implicit or explicit solver schemes are available. The multi-scale model is applied for the dynamic study of a small English-bond masonry house prototype subjected to a series of consecutive earthquake records. Detailed comparisons between the experimental and numerical data are presented, including the results obtained through a continuous total strain rotating crack model. Quasi-static and dynamic analyses are conducted. Results demonstrate that when enough experimental information is available on the masonry components under tension, shear, and compression regimes, the approach predicts well the seismic structural response in terms of time-history displacements, seismic capacity, and damage patterns. The required computational cost (CPU time) is very attractive.     

Pushover-based seismic risk assessment and loss estimation of masonry buildings

A pushover-based seismic risk assessment and loss estimation methodology for masonry buildings is introduced. It enables estimation of loss by various performance measures such as the probability of exceeding a designated economic loss, the expected annual loss, and the expected loss given a seismic intensity. The methodology enables the estimation of the economic loss directly from the results of structural analysis, which combines pushover analysis and incremental dynamic analysis of an equivalent SDOF model. The use of the methodology is demonstrated by means of two variants of a three-storey masonry building both of which have the same geometry, but they are built, respectively, from hollow clay masonry (model H) and solid brick masonry (model S). The probability of collapse given the selected design earthquake corresponding to a return period of 475 years was found to be negligible for model H, which indicates the proper behaviour of such a structure when designed according to the current building codes. However, the corresponding probability of collapse of model S was very high (46%). The expected total loss given the design earthquake was estimated to amount to 28 000 € and 290 000 €, respectively, for models H and S. The expected annual loss per 100 m² of gross floor area was estimated to amount to 75 € and 191 €, respectively, for models H and S. For the presented examples, it was also observed that nonstructural elements contributed more than 50% of the total loss.     

Riparian land use and stream habitat regulate water quality

Riparian land use is a key driver of stream ecosystem processes but its effects on water quality are still a matter of debate when proposing measures to improve freshwater quality. The aim of this study was to examine the influence of riparian land use on stream habitat and water chemistry, and to assess in what extent stream habitat also affects water quality. To that end, we selected eight reaches in the Ave River basin (northwestern Portugal) and compared longitudinal variations in water chemistry and stream habitat between reaches with different land use (urban, agricultural and natural), and between reaches with natural riparian areas and different habitats. Stream habitat was assessed using the Fluvial Functional Index, the HABSCORE, and the Riparian Forest Quality Index. Longitudinal variations in water chemistry were determined measuring differences in concentrations of ammonium, nitrate, phosphate and oxygen, and conductivity, pH and temperature between the downstream and the upstream ends of each reach. Nitrate concentration tended to decrease along reaches with more natural riparian areas and to increase along reaches with more urban and agricultural land uses. Longitudinal variations in water chemistry also differed between reaches with natural riparian areas, suggesting that water quality also depends on stream habitat. Moreover, longitudinal variation in water chemistry was proven a simple, useful and low-cost approach to assess the influence of land cover and stream habitat on water quality. Overall results demonstrated that both riparian land use and stream habitat influence water quality and that riparian forests are essential to reduce nutrient export to downstream ecosystems.     

基于GIS的白龙江流域舟曲—武都段的滑坡危险性评价

本研究以围绕着白龙江流域的甘肃省南部的宕昌县、舟曲县和武都区部分地区为研究区,根据全国滑坡编目中得到的272个历史滑坡数据以及选取的高程、坡度、坡向、平面曲率、剖面曲率、归一化植被指数（NDVI）、降雨、岩性、距道路距离和距河流距离10种影响因子,利用三种具有代表性的定量方法：信息量模型、以及基于频率比模型的逻辑回归模型和人工神经网络模型对研究区内滑坡灾害危险性进行评价。三种评价结果均显示研究区内滑坡灾害的极高和高危险区主要沿白龙江河谷地区呈带状分布。从危险性分区图可看出,人工神经网络模型得到的分区图较为合理,既表现出沿河谷地区集中分布的趋势,也呈现出对滑坡历史数据较为独立的特征,这一研究结果与前人研究结果一致。根据受试者工作特征曲线（ROC曲线）对三种模型的精度进行检验,检验得到的AUC值分别为0.818、0.829和0.837,说明三种评价结果均具有较高的可靠性,基于频率比模型的人工神经网络模型相比其他两个模型具有更好的评价精度,能更好地进行滑坡危险性的预测和评价,其中高程、降雨、岩性以及距道路距离对评价结果影响更大,这四种影响因子重要性值占比为52.1%。为该地区的城市扩建与灾害预防预测提供了参考。     

基于WebGIS的地震应急快速反应系统设计与实现

根据镇江地震地质情况及防震减灾工作实际,通过需求分析及系统整体设计,建立基于WebGIS的地震信息数据库管理系统。系统采用Oracle数据库、JavaScript语言、Tomcat网站服务器,开发了具有地方特色的地震应急处置快速反应系统,系统可实现震后快速评估、辅助决策、震后趋势分析、震后应急资料产出等功能。实际应用表明,该系统达到了低成本、高效率的预期目标。