An assessment of the risk from future eruptions of the Soufriere volcano of St. Vincent,West Indies

The Soufriere volcano is a 1220 m high stratovolcano which occupies the northern part of the island of St. Vincent. It is one of the most active centres of volcanism in the Caribbean and has a record of activity dating back to the Pleistocene. Historic eruptions (since 1718) have caused over 1600 deaths and resulted in damage to property valued in excess of 4.8 million USD. In addition, current development plans for the area point towards increased risk of disastrous consequences from future activity at the volcano.All aspects of risk relevant to the volcano, are discussed, with particular emphasis on the manner in which these are perceived and on the question of acceptable risk. A method is presented for use in risk assessment of volcanic hazard and a number of risk zones are defined for the Soufriere volcano. Numerical estimates of the relative loss expected within each zone are obtained from a consideration of the value of property at risk, its vulnerability to the hazardous volcanic events and the expected spatial impact of volcanic events. Such estimates suggest that the northern-most third of the island is at least ten times more at risk than areas further south. The likelihood of death and destruction is extreme in such high risk areas, while the most feasible method of loss reduction is evacuation before an eruption occurs.Formerly at Department of Earth Sciences, University of Leeds, Leeds LS2 9JT, United Kingdom.     

Identification and prioritization of data for collection in post-earthquake surveys

During an earthquake, buildings which are vulnerable to seismic loads will be damaged, resulting in property loss and the potential for casualties. To reduce loss of life and injury, the relationship between earthquake-induced building failure and injury severity and distribution needs to be clarified. To this end, a methodology and a series of data collection forms were developed to collect pertinent data for post-event analysis and to provide a basis for structural triage in the field shortly following an earthquake for search and rescue purposes. The forms were developed in four steps: (1) identifying the variables which affect the outcome of an occupant in a damaged building; (2) classifying the variables into three levels of priority for data collection; (3) designing the forms; and (4) applying the forms to damaged buildings from past earthquakes. These forms represent a significant departure from existing forms in that they consider both casualties and building damage jointly in a consistent format. This paper describes the first two steps of the development process; a companion paper outlines the latter components.     

区域矿产资源技术经济评价方法的研究

矿产资源是国民经济发展的重要物质基础。因此,一个区域经济发展战略或规划的制定,都把矿产资源技术经济评价成果作为重要的依据。但国内、外在这方面的研究和实践多只限于某一单矿种或某一矿组;多矿种综合性的定量评价实例尚未见到。本文以区域内所有矿种的矿床、矿点、矿化点构成的整体,在地质评价的基础上,于技术可行的条件下对探明的矿产可利用储量在未来一定时期内进行工业开发的经济评价的理论和方法进行了研究。先以区内大量地质勘查和开发利用的实际资料,对矿产资源优劣类型进行定量评判,论述矿产资源经济价值,以其为基础对矿产资源经济区进行划分。再按区内优势矿产资源进行开发系统评价,并分别提出开发对策意见。最后论述矿产资源技术经济评价的主要结论,总结矿产资源开发中的主要问题,提出切实可行的措施和建议。     

石渠地震震害损失的评估及其背景条件

石渠5.1级地震的Ⅶ度(弱)区达160km~2,Ⅵ度区达2470km~2,震害损失值达4300余万元,在对其产生的背景条件和具体原因进行总结分析的同时并对存在的问题作了讨论。     

Estimating Petroleum Resources Using Geo-Anchored Method--A Sensitivity Study

The Geo-anchored method, based on a moment-type estimator, has been developed for estimating parent population properties from a successive sample of discoveries. By substituting the expectation of the waiting time z _(n+1) of the (n + 1) ^th discovery to occurrence for an unknown parameter in the anchored method, the Geo-anchored method allows estimation of inclusion probabilities directly from observed data, thus eliminating the need for a priori selection of a value of N, R, or some other feature of the parent population. Because direct estimation of N and R requires an ordered sample, the Geo-anchored method is more sensitive to the data-generating process than the anchored method. This paper presents a sensitivity study on the Geo-anchored method. The test is based on simulated discovery sequences with different assumptions regarding discovery efficiency, exploration maturity, and the shape of the parent field size distribution. As a reference for comparison, estimates from the Horvitz–Thompson estimator also are presented.     

地震灾害风险评估及减灾策略研究——以贵州罗甸县为例

为探究贵州省地震灾害风险薄弱环节，减轻地震灾害风险，以贵州省罗甸县为示范，采用地震危险性概率分析方法对各乡镇进行危险性分析，开展地震灾害承灾体现场抽样调查，通过层次分析法和问卷调查的方式，首次构建乡镇级别的地震灾害风险和减灾能力指标体系，评估各乡镇地震灾害综合指数和程度，计算各乡镇地震灾害风险指数，确定红水河镇为高风险区、罗悃镇为中风险区、木引等7个乡镇为低风险区，并从建筑物设防、地震地质灾害及水库地震等角度剖析罗甸县地震灾害特点，从农村危房改造、移民搬迁、地质灾害防护及交通等方面提出减小地震灾害风险的建议。     

分层随机抽样下全球30 m火烧迹地产品验证

火烧迹地是全球及区域碳循环和气候变化等研究所需的重要参数之一,卫星遥感技术为快速获取大区域火烧迹地空间分布信息提供了有效手段。中国科学院基于Landsat系列卫星数据研发了首个30 m空间分辨率全球火烧迹地产品GABAM (Global Annual Burned Area Map)。遥感数据产品的精度验证对产品使用具有重要意义,迄今尚未有研究机构对GABAM产品精度进行独立评价和分析。为系统评价GABAM产品精度,利用2010年全球30 m空间分辨率火烧迹地产品(GABAM2010)开展精度验证研究工作,在全球和几个陆地生物群落中估算了产品精度,并探索了全球遥感专题产品精度验证的技术框架。基于分层随机抽样选择80个非重叠的泰森多边形区域TSA (Thiessen Scene Areas),采用误差矩阵和6个精度指标对GABAM2010产品做全面精度评价和分析,以满足火烧迹地产品用户的使用要求。结果表明:在全球范围内,GABAM2010产品的错分率和漏分率分别为24.32%和31.60%,总体精度为97.85%;由于数据质量(如条带、云)等的影响,火烧迹地的范围会被低估,对于较容易发生火灾的生物群落,如热带亚热带草原区域,GABAM2010产品精度较高;在生物群落内部,高密度火烧迹地区域的精度高于低密度火烧迹地区域。     

A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data

ABSTRACT

For evaluating the progresses towards achieving the Sustainable Development Goals (SDGs), a global indicator framework was developed by the UN Inter-Agency and Expert Group on Sustainable Development Goals Indicators. In this paper, we propose an improved methodology and a set of workflows for calculating SDGs indicators. The main improvements consist of using moderate and high spatial resolution satellite data and state-of-the-art deep learning methodology for land cover classification and for assessing land productivity. Within the European Network for Observing our Changing Planet (ERA-PLANET), three SDGs indicators are calculated. In this research, harmonized Landsat and Sentinel-2 data are analyzed and used for land productivity analysis and yield assessment, as well as Landsat 8, Sentinel-2 and Sentinel-1 time series are utilized for crop mapping. We calculate for the whole territory of Ukraine SDG indicators: 15.1.1 – ‘Forest area as proportion of total land area’; 15.3.1 – ‘Proportion of land that is degraded over total land area’; and 2.4.1 – ‘Proportion of agricultural area under productive and sustainable agriculture’. Workflows for calculating these indicators were implemented in a Virtual Laboratory Platform. We conclude that newly available high-resolution remote sensing products can significantly improve our capacity to assess several SDGs indicators through dedicated workflows.     

BCC第二代气候预测模式系统对2015年一次寒潮过程的预报能力评估

利用BCC第二代气候预测模式系统(BCC_CSM2)的回报试验结果,评估了BCC_CSM2对2015年1月27—31日一次强寒潮过程的次季节预报能力,结果表明:(1)此次寒潮过程主要由新地岛以西的短波槽不断东移发展而形成的,模式能够提前10 d较好地预报过程期间降温以及高空环流形势,相关系数、距平符号一致率以及均方根误差都定量表明模式在10 d左右具有较好的预报能力,但是对降温程度的预报能力随起报时间的延长逐渐降低;(2)为了探讨随起报时间延长模式预报能力降低的原因,从位势倾向方程出发,分析相对涡度平流和温度平流随高度变化发现,在模式提前10 d之内的预报时段内,模式预报的相对涡度平流和温度平流随高度变化与再分析资料的诊断结果基本一致,能够合理预测短波槽的东移和槽脊的强度变化,当预报超过10 d后,模式中相对涡度平流的配置不利于短波槽的东移,模式预报的低层出现暖平流,并随高度增加而减小,不利于槽的加深,使模式预报的环流形势产生偏差,导致模式预报能力降低。     

环境影响评价中的效益—费用分析方法

效益-费用分析方法是环境影响评价中一种重要的方法。本文介绍了环境影响评价中的效益-费用分析方法的理论、程序及定量评价技术,概述了环境影响评价中效益-费用分析方法的理论及应用进展,并针对其存在问题,进行了探讨。