Assessment of economic losses from tropical cyclone disasters based on PCA-BP

Tropical cyclones are the most common natural disasters in coastal regions and are the most costly in terms of economic losses. Economic loss assessment is the basis for disaster prevention and alleviation and for insurance indemnification. We use data from 1970 to 2008 for Zhejiang Province, China, in this study evaluating economic losses. We convert direct economic losses from tropical cyclone disasters in Zhejiang Province into indices of direct economic losses. To establish our assessment model, we process disaster-inducing assessment factors, disaster-formative environments and disaster-affected bodies using the principal component analysis method, and we abstract the principal component as the input of a BP neural network model. We found in the actual assessments of five tropical cyclones affecting Zhejiang Province in 2007 and 2008 that the post-disaster loss assessment values of tropical cyclones were higher than the actual losses, but that for more severe storms, the gap was smaller. This reflects the beneficial effect of efforts toward disaster prevention and alleviation for severe tropical cyclones. Pre-assessments based on relatively accurate forecast values of wind and precipitation at the start of a tropical cyclone have been in accordance with the post-disaster assessment values, while the pre-assessment results using less accurate forecast values have been unsatisfactory. Therefore, this model can be applied in the actual assessment of direct economic loss from tropical cyclone damage, but increasingly accurate forecasting of wind and precipitation remains crucial to improving the accuracy of pre-assessments.     

The occurrence laws of campus stampede accidents in China and its prevention and control measures

This research appraises how residential built environment growth influences coastal exposure and how this component of societal vulnerability contributes to tropical cyclone impact and disaster potential. Historical housing unit data and future demographic projections from a high-resolution, spatial allocation model illustrate that the area within 50 km of the US Atlantic and Gulf Coastlines has the greatest housing unit density of any physiographic region in the USA, with residential development in this region outpacing non-coastal areas. Tropical cyclone exposure for six at-risk metropolitan statistical areas (MSAs) along the US Atlantic and Gulf Coasts are assessed. All six MSAs evaluated are distinct in their development character, yet all experienced significant growth from 1940 through the contemporary period; projections from the model under various socioeconomic pathways reveal that this growth is anticipated to continue during the twenty-first century. Using a worst-case scenario framework, the historical and future residential data for the six MSAs are intersected with synthetic hurricane wind swaths generated from contemporary landfalling events. The New York City MSA contains the greatest residential built environment exposure, but Miami is the most rapidly changing MSA and has the greatest potential for hurricane disaster occurrence based on the juxtaposition of climatological risk and exposure. A disaster potential metric illustrates that all six MSAs will experience significant increases in disaster probability during the twenty-first century. This analysis facilitates a detailed spatiotemporal assessment of US coastal region vulnerability, providing decision makers with information that may be used to evaluate the potential for tropical cyclone disasters, mitigate tropical cyclone hazard impacts, and build community resilience for these and other hazards in the face of environmental and societal change.     

渝东北典型盆缘山区高位崩滑灾害风险评价

研究区位于重庆市巫溪县下堡镇内,属渝东盆缘山区,地形切割强烈,地质环境复杂,地质灾害频发。为了研究高陡峡谷区地质灾发育分布规律、风险区划,文章选取高程、坡度、坡向、工程地质岩组、距水系距离及距褶皱距离因子做为地质灾害易发性评价的影响因素,基于ArcGIS平台,利用信息量模型,定量评价了巫溪宁桥片区高陡峡谷区高位地质灾害的易发性,评价模型与地质灾害分布空间契合度较高,评价结果可信度较高。再结合易损性评价对研究区进行了地质灾害风险评价,最终得到研究区地质灾害风险评价模型。为该区域地质灾害防治提供了科学依据,同时对同类高陡峡谷地区地质灾害风险性评价及地质灾害防治具有借鉴意义。     

海洋地质灾害灾情评估进展与方法

对海洋地质灾害进行评估意义重大,但目前对海洋地质灾害灾情评估的研究有待加强。已有研究方法通过建立评估指标体系,运用系统工程理论和层次分析方法,确定灾情等级,为减灾防灾提供依据。灾情评估模型有助于快速地进行灾情评估。本文认为,应该加强对海洋地质灾害的基础性研究工作,包括灾害的成因机制、分布规律、发展趋势、致灾因素、危害程度、预防措施等方面。     

浙江宁波市地质灾害的雨量阈值及预报分析

山体滑坡、崩塌、泥石流等地质灾害主要由强降水或连续性降水引发产生,根据最近七年来宁波市国土资源局和宁波市气象台联合制作的地质灾害气象预报预警和地质灾害实况资料分析,结果发现:在最近七年里出现的159处地质灾害中,由热带气旋强降水引发的地质灾害有142处,约占89%;宁波市绝大多数地质灾害是由强降水引发,而强降水中又以热带气旋强降水为主要诱因,引发宁波市地质灾害的有效雨量大多数在100mm以上,因此,100mm有效雨量可作为预报引发宁波市地质灾害的雨量阈值,而200mm有效雨量可引发多处地质灾害产生。统计结果为以后地质灾害气象预报预警及强降水的临近监测提供参考依据。     

China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model

To evaluate the regional meteorological disaster loss of China, this paper analyzed the different types of meteorological disasters, including droughts, floods, tropical storms, snowstorms and hail disasters. Based on the analysis about Chinese geographical features, the historical characteristics of different meteorological disasters are analyzed. In particular, these meteorological disasters influence to agriculture production are discussed. According to the analysis of data from 2004 to 2010, we know that the distribution characteristics are very different about different disasters. Provinces like Heilongjiang, Liaoning, Jilin, Inner Mongolia, Gansu, Shanxi and Yunnan are serious affected areas of drought influence. And Anhui, Shandong, Jiangsu, Henan, Jiangxi, Hubei, Hunan, Guangxi, Sichuan and Heilongjiang are serious affected areas by floods and heavy rain. While Guangdong, Fujian, Zhejiang, Shanghai, Jiangsu and Shandong are mainly affected by tropical storms, Henan, Hebei, Hunan and Hubei are serious affected by snowstorms and hail disasters. Then, a novel method based on grey cluster model is constructed and combined with the regional meteorological disaster loss evaluation index system. A total of 31 provinces are considered to evaluate the integrated meteorological disaster losses. The results indicated that Beijing, Tianjin, Shanghai, Xizang, Qinghai and Ningxia belong to the lighter loss grey class. Jiangxi, Hubei, Hunan, Hainan, Sichuan and Gansu belong to the serious loss grey class. Other regions belong to the general loss grey class that the influence caused by meteorological disasters not better than the lighter loss grey class and not worst than the serious loss grey class.     

Assessment of potential sediment disasters and resilience management of mountain roads using environmental indicators

In recent years, extreme rainfall events occur frequently, causing serious watershed sediment disasters, destroying mountain roads, and endangering the safety of residents' lives and property. This study aims to deal with the spatial change of potential sediment movement on the road slope pre-disaster and to screen disaster hot spots for early warning and control system. The conceptual model is used to simulate the distribution of primary and/or derived disasters on a watershed scale to assess the impact of sediment disasters caused by heavy rain event. Correlation analysis shows that the models in assessment of primary disaster and derived disaster are significantly correlated with the collapse ratio and disaster ratio, respectively. Since the primary disaster has been considered when calculating the derived disaster risk, the terrain subdivision along Provincial Highway 21 (Tai-21) is extracted to understand the derived sediment disaster on the road slope. The model can effectively evaluate the road sections prone to disasters. According to the risk level, the hot spot of road slope disasters and the management of disaster resilience are determined and can be the reference for disaster prevention and control.

     

崩塌滑坡地质灾害风险排序方法研究

我国地质灾害具有点多面广的分布特点,而地质灾害风险管控人力和能力有限,因此需要开展地质灾害风险排序工作,筛选出优先管控的地质灾害隐患点,确保地质灾害风险管控对策实施的针对性和高效性。地质灾害风险排序的实质是运用定量化风险评价计算出每处隐患点的风险值,然后根据风险值开展排序工作。目前定量化风险评价模型多用于单个地质灾害点风险评价,并未应用于大范围地质灾害风险排序工作,且模型较为复杂,推广应用较难。在分析崩塌、滑坡地质灾害与其环境因素间的响应关系及规律的基础上,提取崩塌、滑坡地质灾害的主控环境因子与诱发因子,联合人口、物质、资源等易损性因子建立地质灾害风险评价指标体系;基于岩石工程系统相互作用矩阵与专家打分法确定各级地质灾害风险评价指标因子权重,构建地质灾害风险评分体系;并根据风险评价定义,提出了能够快速定量化的简易地质灾害风险计算模型。以贵州省98处地质灾害隐患点为例,开展模型应用验证,风险排序结果与灾害管理机构主观认识的实际风险一致,验证了本模型的合理性与有效性,提高了地质灾害风险管控能力与效率。     

汶川地震灾区地质环境演化过程与后重建灾害防治措施

汶川地震发生在地质环境脆弱的山区,震后内外地质营力加速了灾区地质环境变迁,在变迁过程中,会出现不同的地质作用和地质灾害.本文通过研究灾区地貌变化、地表破坏、山体震裂、水文地质条件改变、地质灾害发育特征等地质环境现状,分析震后斜坡演化过程、地表地质环境变迁过程、外界因素的影响、崩滑流地质灾害转化关系,总结了地质环境变迁过...     

Hazard Assessment of Cold and Hot Damage for Double-Season Early Rice (DSER) in Lower-Middle Reaches of the Yangtze River Basin

Cold and hot damages which are both common disasters occurring in DSER growth time in lower-middle reaches of the Yangtze River Basin harm early rice. The two disasters occurrence should be deeply studied to protect the DSER yield. This study was based on meteorological data of 48 agricultural meteorological stations during 1961-2010 period and agricultural meteorological data during 1981-2010 for DSER in lower-middle reaches of the Yangtze River Basin. In this study, the growth time was divided into several phases according to the growth stage, including tillering stage, booting stage, flowering stage and filling stage. The disasters taking place at some stages was identified by building new judging standard and their intensity value was calculated by harm accumulated temperature calculation model. Fisher optimal division method was used to classify the disasters and H-P filter was used to consider the reduction of the yield. It was conducted to analize the disasters’ characteristics in growing season, the intensity of hazard and the weight of hazard at each stage by judging and quantifying cold and hot damage and developing hazard assessment model of disasters. All findings were displayed in maps by GIS technology. The results showed that: ①New disaster judging standard was more suitable for DSER and the hazard assessment model could reveal the disaster situation in lower-middle reaches of the Yangtze River Basin. ②Cold damage was severe at tillering stage while hot damage was severe at filling stage. In the view of the distribution of the decadal disaster intensity, cold damage became to be weak and hot damage became to be strong. Compared with the plains, mountainous region and hilly ground were attacked by cold damage frequently and hot damage rarely from the perspective of spatial distribution of disasters. Distinctly, plains near large areas of water were often harmed by cold damage at booting and flowering stage. ③The area of high hazard value and high disasters value at each stage were overlapped by each other roughly. Studying the hazard of the whole growth season showed that the highest hazard value was in Zhejiang province, and the next in Hubei Province. So Hu’nan and Jiangxi Provinces were quite suitable to grow DSER. ④In contrast with the hazard weight at each stage, the vulnerable phases of the whole growth time were in sequence of filling stage> tillering stage> flowering stage > booting stage. What’s more, aiming at defensing and fending off risk, some special stages in special province should be paid close attention including booting and filling stages in Hubei Province, tillering and flowering and filling stages in Hu’nan Province, tillering and filling stages in Jiangxi Province, flowering and filling stages in Zhejiang Province. The conclusion can be taken as theoretical basis for the government management of agricultural production, disaster prevention and mitigation.     

徐州市地质灾害防灾减灾方法研究

以徐州市地质灾害详细调查资料为依据,总结了徐州市地质灾害的主要类型,归纳分析了徐州市地质灾害形成的地质环境条件、诱发因素、发育现状及造成的损失。根据近年来省内外尤其是徐州市地质灾害调查评价和邳州石膏矿区地面塌陷现状及预防措施的建议,结合徐州市地质灾害隐患的具体特点,提出了加强地质灾害防治的有关制度建设、宣传培训工作、科学部署地质灾害防治、监测工程、强化建设项目的地质灾害危险性评估等地质灾害防灾减灾措施。     

三峡库区万州至巫山段城镇地质灾害调查进展

三峡库区作为“全国地质灾害防治十三五规划”重点防治区之一,地质灾害问题突出,其中万州至巫山段更是区内地质灾害集中发育区,地质灾害点数量达5 000余处。以“查背景、识灾害、评风险、研预测”为主线,通过2019年项目工作,在区域地质灾害孕灾背景条件认识和机理研究、城镇地质灾害风险评价等方面取得了新的认识: 一是从地质材料特性、赋存条件及影响因素方面总结了地质灾害的孕灾背景条件; 二是从地质沉积历史、地貌演化及微地貌改造等方面认识了地质灾害的形成与演化机理; 三是通过遥感技术与轻型无人机低空航摄精细化解译相结合的方法,初步实现了承灾体自动化提取; 四是形成了基于斜坡单元地质灾害风险评价方法,完成了三峡库区大周镇地质灾害风险评价。其成果为支撑服务地方地质灾害防治和引领地质灾害风险评价起到了示范作用。     

三峡库区万州至巫山段城镇地质灾害调查进展

三峡库区作为“全国地质灾害防治十三五规划”重点防治区之一,地质灾害问题突出,其中万州至巫山段更是区内地质灾害集中发育区,地质灾害点数量达5000余处。以“查背景、识灾害、评风险、研预测”为主线,通过2019年项目工作,在区域地质灾害孕灾背景条件认识和机理研究、城镇地质灾害风险评价等方面取得了新的认识一是从地质材料特性、赋存条件及影响因素方面总结了地质灾害的孕灾背景条件;二是从地质沉积历史、地貌演化及微地貌改造等方面认识了地质灾害的形成与演化机理;三是通过遥感技术与轻型无人机低空航摄精细化解译相结合的方法,初步实现了承灾体自动化提取;四是形成了基于斜坡单元地质灾害风险评价方法,完成了三峡库区大周镇地质灾害风险评价。其成果为支撑服务地方地质灾害防治和引领地质灾害风险评价起到了示范作用。     

陕南秦巴山区地质灾害危险性评价研究

陕西省是中国地质灾害最严重的省份之一,而陕南秦巴山区地质灾害灾情尤为严峻,因此进行地质灾害危险性评价对指导防灾减灾工作意义重大。文章以陕南秦巴山区为研究区,基于GIS技术与2001-2016年研究区地质灾害灾情数据,分析研究了区内地质灾害与各指标因子之间的敏感性关系,并确定了高程、岩土体类型、断裂构造、降雨等7个影响地质灾害发生较大的因子作为区域地质灾害危险性评价指标。其次,以各指标条件下地质灾害数量和累计发生频次曲线斜率的突变为依据,对评价指标因子进行状态分级。最后,运用信息量法建立栅格数据模型展开区域地质灾害危险性评价。研究结果表明:高危险性、较高危险性、中危险性的地区占研究区总面积的百分比分别为10.52%、28.31%、30.19%,区内地质灾害点的空间分布与地质灾害危险性评价结果基本一致,信息量模型的预测精度为90.16%。文章将经验知识与数据驱动的分析方法相结合,应用于较大范围的地质灾害危险性区划,研究结果可为区域地质灾害防治工作提供参考依据。      

青藏高原东南缘活动断裂地质灾害效应研究现状

青藏高原东南缘不同性质、不同类型、不同特点活动断裂发育且较为活跃,自2008年汶川地震发生以来,相继发生了玉树地震、庐山地震、鲁甸地震等。地震引发、触发、诱发产生了大量地质灾害,造成了惨重的生命财产损失。通过收集与分析相关资料,对青藏高原东南缘活动断裂地质灾害效应研究进展与取得成果进行了归纳总结,从活动断裂地质灾害主要控制因素,地质灾害发育特征、空间分布规律、演化模式、形成机制,不同性质断裂控制效应、断裂两盘差异效应、地震动参数效应、地形地貌效应等地质环境效应和地质灾害力学效应等方面进行了综述。在此基础上,对活动断裂地质灾害效应研究中存在的如不同类型活动断裂和不同震级地震与地震地质灾害相关性、以及地震地质灾害监测与风险评估等问题或重点研究方向进行了探讨,其研究结果为地震地质灾害致灾机理、风险评估、防灾减灾等研究提供参考。      

高分辨率遥感技术在地质灾害调查与成灾规律分析中的应用——以攀西米易地区为例

攀西地区山高谷深,地形切割强烈,历来是地质灾害的重灾区和易发区。为摸清地质灾害家底,查明地质灾害分布与发育规律,排查出可能存在的地质灾害隐患,支撑灾害现场核查与工程防治,利用高分辨率遥感技术(简称高分遥感技术)对四川攀西米易地区开展地质灾害遥感调查与现场验证,共确定有明显威胁对象的地质灾害隐患点106处,主要以崩塌、滑坡为主,其次为泥石流。结合调查结果,开展隐患点成灾规律分析,结果表明: 地质灾害主要发育于安宁河及其支流沿岸一线,沿省道S214线及米普路、麻楠路、二滩库区环湖路段呈带状分布,主要分布于断层两侧500 m范围内,达到51处,占遥感调查隐患点总数的35.8%; 2019年5—9月共发生地质灾害104处,占全年发生地质灾害总数的98.11%; 区域西北部和中北部地质灾害发育程度相对较低。应用结果表明,利用高分遥感技术能够有效查明地质灾害隐患分布与成灾规律,对服务基层防灾减灾工作,减轻灾害损失,提升地质灾害科技水平和防灾能力具有重要意义。     

基于灾损评估的青海高原冰雹灾害风险区划

利用青海高原1961-2010年42个气象站逐次冰雹过程及其灾情信息, 采用滑动平均、 标准归一化及线性回归等方法, 在分析致灾因子危险性、 承灾体易损性评估指标的基础上, 建立了冰雹灾害区划模型, 并结合ArcGIS9.3平台得到青海高原冰雹灾害风险区划图. 结果表明: 青海东部农业区、 环青海湖地区、 柴达木盆地东部及三江源地区中东部为易受冰雹灾害影响的特高风险或高风险区域; 祁连山地区为中风险区, 而低风险区则位于柴达木盆地中、 西部. 区划结果与历史冰雹灾情基本吻合, 旨在为该区防灾减灾提供科学依据.     

Tropical cyclone: expressions for velocity components and stability parameter

Tropical cyclones are the most devastating natural calamity forming in the ocean bed and die out in land. The life cycle of a tropical cyclone is mainly classified into four stages: (a) formation or genesis stage, (b) intensification stage, (c) mature stage and (d) decay stage. The intensification and mature stages are also known as tropical storm and cyclone (hurricane) stage, respectively. To develop the model of tropical cyclone we have taken the momentum conservation equation, equation of continuity and equation of hydrostatic balance in cylindrical coordinate system. Also the equation of state and the equation relating the velocity component and stream function are taken into account. We have assumed a suitable analytic form of the radial component of velocity as a function of radial distance (r) from the axis of the cyclone and vertical distance (z) from the sea bed. So in our model we have taken a cyclone as a rotating cylinder. With the use of the expression of the radial component velocity we have solved the governing nonlinear equation in the cylindrical coordinate system of a cyclone using ‘Wentzel–Kramers–Brillouin approximation’ and estimated the transverse velocity on the sea bed and in the vicinity of the eye wall of the cyclone. From the results we also get a path to generalize the tropical cyclone model as a vortex which is a generating curve of a cyclone. We also determine the vertical component of velocity of the cyclone. In this work we define a new parameter called the cyclone stability parameter (CSP). The CSP helps to determine the stability of a tropical cyclone from its genesis.     

四川渠县“8·8”特大暴雨引发的地质灾害分布特征与成因分析

2021年8月8日渠县遭遇特大暴雨袭击,引发新增灾害38处,不同程度加剧已有灾害点109处。文中基于实地调查资料,对特大暴雨引发灾害的特征和孕灾地质条件与灾害分布关系开展研究,对比研究了累计降雨量与新增灾害数量和已有灾害加剧程度之间的关系。结果表明:此次渠县特大暴雨引发新增灾害点主要为土质滑坡,占比94.7%;区域斜坡结构对灾害发生的影响程度最高;土质滑坡集中发生在300～325 mm累计雨量区间,高达27处,变形迹象加剧程度严重的灾害点23处,分布在累计雨量为337～348 mm区间内;为该县地质灾害防治区划与汛期地质灾害防御提供科学依据,为类似地区特大暴雨地质灾害防灾减灾提供参考。     

甘肃省舟曲地质灾害发育特征及典型地质灾害剖析

甘肃省舟曲县因发生＂8.8＂特大山洪泥石流灾害而倍受世人关注。本文在概述县域自然地理条件,地质背景及生态环境变化的基础上,深入讨论了舟曲县地质灾害的类型、分布、规模、稳定状态及危害性特征,并以泄流坡滑坡和三眼峪泥石流为例,详细分析了地质灾害的影响因素、发育特征及危害评估,以期对正在舟曲实施的地质灾害防治工程有所帮助。