泥石流灾害损失评价

泥石流灾害损失评价是对已经发生的泥百流灾害所造成的损失进行综合性的测算和统计。它是泥石流灾害评价的重要内容之一。一次泥石流灾害，除了直接造成人员伤亡和财产损失外，还可能伴有潜在的间接影响。此外，时间和空间分布状况的不同也增加了评价的难度。所以，泥石流灾害损失评价是一项复杂的工作。灾害损失的严重程度需要通过适当的指标来反映。根据承灾体特点，文章初步建立了泥石流灾害损失评价指标，分别为人员损失、经济损失和救灾投入费用，并且对于每个指标给定了相应的计算方法。人员损失主要由因灾死亡损失和因灾伤害损失两部分构成；经济损失包括直接经济损失和间接经济损失。直接经济损失集在在建筑、资产、交通、管线、资源5个方面，间接经济损失则通过与直接经；声损失的比例关系来进行换算；救灾投入费用是灾害发生后进行救援、治理、恢复等所花费的费用。最终的灾害总损失等于上述3部分损失之和。在此基础上，综合时间和地域因素，提出了灾害损失的时空比较方法，从而增加了评价的科学性和合理性。泥石流灾害损失评价为定量反映灾情、进行泥石流救灾优先性工作提供了依据。     

2001-2020年上海市地面沉降灾害经济损失评估

地面沉降是加速潮灾、涝灾等自然灾害的风险源.由于上海市市政建设和高层建筑的建设以及周边地区继续抽取地下水的影响,地面沉降趋势仍在继续.这使上海市在未来必将遭受地面沉降灾害所产生的巨大经济损失.分析了上海市未来地面沉降灾害产生经济损失的可能性、损失程度等.通过对影响未来地面沉降灾害经济损失不确定因素的分析,运用统计方法评估了2001-2020年间上海市地面沉降灾害风险的经济损失.经评估,2001-2020年上海区地面沉降灾害风险经济损失总额为245.7亿元.     

Overcoming obstacles to implementation: addressing political, institutional and behavioral problems in earthquake hazard mitigation policies

This project is aimed at bridging the three planes, from basic research, through enabling processes, to engineered systems. At the basic research plane, we have been working to improve our collective understanding about obstacles to implementing mitigation practices, owner decision processes (in connection with other MCEER projects), and public policy processes. At the level of enabling processes, we have been seeking to develop an understanding of how obstacles to greater mitigation can be overcome by improved policy design and processes. At the engineered systems plane, our work is intended to result in practical guidelines for devising policies and programs with appropriate motivation and incentives for implementing policies and programs once adopted. This phase of the research has been aimed, first, at a thorough, multidisciplinary review of the literature concerning obstacles to implementation. Second, the research has focused on advancing the state of the art by developing means for integrating the insights offered by diverse perspectives on the implementation process from the several social, behavioral, and decision sciences. The research establishes a basis for testing our understanding of these processes in the case of hospital retrofit decisions. Supported by: the National Science Foundation, Earthquake Engineering Research Centers Program through MCEER.     

2017年西北太平洋和南海台风活动概述

2017年总计27个台风在西北太平洋和南海生成,其中8个在我国沿海登陆。台风生成时间集中于7—8月,生成源地较多年平均偏西5°,南海台风数（8个）较多年平均（4～7个）明显偏多,台风登陆点集中在广东沿海,气旋峰值强度（30.9 m·s-1）较多年平均（40.3 m·s-1）明显偏弱,登陆台风的平均登陆强度（29.0 m·s-1）较多年平均（32.8 m·s-1）偏弱。台风雨水情呈现降雨范围广、暴雨强度大,主要江河平稳、部分中小河流超警戒水位的特征。使用实时业务定位、定强及降水、大风、水文观测数据,针对2017年影响我国的10个台风个例的气象水文特征及社会经济影响做出详细分析。“天鸽”为2017年登陆中国最强的台风,导致灾损最为严重,其与“帕卡”在4 d内先后登陆经济发达、人口密集的珠三角地区,造成损失叠加。     

地震灾害损失现场评估的计算机辅助系统

地震灾害损失现场评估软件系统是为了配合国家地震局于１９９７年颁布的《地震灾害损失评估规定（试行）》促进地震现场评估工作的标准化、快速灵活,同时满足行业管理部门,地方行政部门和实际调查工作人员的不同使用要求而专门编制的ＷＩＮＤＯＷＳ环境下的计算机软件系统。     

地震损失概率预测研究中的地震危险性分析方法探讨

本文基于假定未来某段时间内研究地区或场地上地震烈度影响事件遵从贝努利(Bernoulli)随机独立试验过程，利用历史地震烈度-额度统计关系，提出了一种适用于地震损失概率预测的危险性分析方法。     

基于机器学习算法的县域台风灾害损失风险评估

基于2008—2019年我国台风县(区)灾情的直接经济损失数据,根据经济损失率将台风灾害经济损失风险分为五类,考虑台风灾害的致灾因子和孕灾环境因子共选取10个解释变量,采用五种经典的机器学习算法,包括支持向量机(Support Vector Machine,SVM)、随机森林(Random Forest,RF)、AdaBoost、XGBoost(Extreme Gradient Boosting Machine)和LightGBM(Light Gradient Boosting Machine),分别构建台风灾害经济损失风险评估模型,选出准确率最高的模型,应用于经典台风过程并进行检验评估。结果表明:基于RF算法的台风灾害经济损失风险模型的准确率最高;利用RF、XGBoost、LightGBM、AdaBoost和SVM算法构建模型的准确率依次为0.69、0.63、0.62、0.45和0.41。选择RF算法构建的台风灾害经济损失风险模型的解释变量表明,致灾因子是最主要的解释变量,其中,降雨导致损失的重要性超过风速。该模型在训练集和测试集上对风险分类的TS评分为0.55和0.51,但对每种风险类别的辨别能力存在差异,对于最低风险和最高风险的分类效果较好,对于较高风险和中等风险的分类能力不足。利用该模型对2017年第13号台风“天鸽”的经济损失进行检验评估,评估结果与实际台风灾害经济损失的风险等级较一致,各风险等级的准确率均达到0.7以上,TS评分在0.58以上,空报率和漏报率分别在0.31和0.25以下。      

Study on the Determination of the Significant National Seismic Monitoring and Protection Regions

The paper describes firstly the principles and scientific train of thought involved in determining the significant seismic monitoring and protection regions (SSMPR) in China. The principles include the gradation principle, i.e. the national level SSMPR and the provincial level SSMPR, the principle of highlighting priorities, namely, the area of an SSMPR should be a fraction of the total area of the country or of the respective province, but the earthquake losses incurred in SSMPR should be a major proportion of the national or provincial ones. The scientific train of thought adopted is to determine the SSMPR on the basis of seismic hazard assessment and loss estimation. Secondly, it reviews the achievements in determining the SSMPRs for the period from 1996 to 2005. The result shows that 10 strong earthquakes occurred during that period in the areas with earthquake monitoring and prediction capability available on the Chinese continent, 8 of which occurred in SSMPRs with the economic loss and death toll accounting for 67% and 92% of the total loss on the Chinese mainland. Lastly, the paper introduces preparatory research for determining the SSMPR for the period from 2006 to 2020, including decade-scale mid-and long-range seismic risk assessment based on seismology, seismogeology, geodesy, earthquake engineering, sociology and stochastics and so on, and the national seismic risk probability map, the seismic hazard (intensity) map, earthquake disaster losses map and the comprehensive seismic risk index, etc. obtained for the period of 2006 to 2020.     

黄土潜水含水层深井抽水的井流特性分析

本文通过对黄土地区潜水含水层深井进行现场单井多落程抽水试验和双井抽水试验资料的整理分析,得到黄土潜水含水层深井抽水井流的一般规律,同时对水跃值的变化规律进行分析.