Hailstorm Risk Assessment in Rural New South Wales

The risk of hail damage at a particular location depends on the frequency and severity (intensity) of hailfall. Three data sets were used to determine the relative risk of hail damage in the various weather forecasting districts of the state of New South Wales, Australia. Two of the data sets were observational data and the third was a set of crop insurance data. The crop insurance data was the least spatially-biased data available for rural areas. Combined data revealed that hailstorms were most frequent in the tablelands and most severe in the north of the state where there is summer-dominant rainfall.     

金沙江干热河谷区土壤侵蚀危险度评价——以云南元谋为例

利用空间主成分分析方法，选取降水、坡度、植被、土地利用、土壤类型、人口、高程等作为评价指标，建立空间主成分评价模型Pi=0．78X1＋0．06X2＋0．05X3＋0．04X4，将研究区分为无险型、轻险型、危险型、强险型和极险型五种类型，较为准确地得到了危险度综合评价结果。因此，空间主成分分析模型，在土壤侵蚀危险程度评价方面的应用较为成功，是一种科学有效的研究方法。     

洪水保险债券的运作机制与发展思路

由于传统(再)保险,难以将洪灾风险进行有效的分散,因此,有必要寻求有效的金融工具将洪灾风险向资本市场转移。在建立洪水保险债券的概念框架基础上,阐述了与普通债券及传统再保险的区别。从经济学和精算学的角度对洪水保险债券进行分析,揭示了洪水保险债券定价机制。通过研究洪水保险债券的运作模式,分析了我国洪水保险债券的发行条件与发展思路,指出洪水保险债券为我国防洪减灾提供了可资借鉴的崭新方法与工具。     

THE RISK ASSESSMENT OF THE LONG-DISTANCE OILPIPELINE ENGINEERING

LTkemskS0tu.ce0fL0ng-mstance0nflpeAncEwiceringSincel992,thenskassessmentoflongdistanceoilpipeline(LDOP)inN0rthwestChinahasbeenputtoagendasystematically.TheLD0PconstruCtionfromLiuyUantowntoLu0yangcltymakeuPthemajorpipelineengineeringwhichstrotchesover2,ll5kmandservesasoneofthemaJorcrudeoilpipelinesinnorthWestinlandroponofChina(Figurel).Theriskeventinducedbynaturaldisasterscanbedividedintofourwaysfl.EaffoquakcIhhistory,LD0PenrouteroponsexPenontaleafthquakes.Theearthquakemagntude,scal…     

Using simulated data to investigate the spatial patterns of obesity prevalence at the census tract level in metropolitan Detroit

Obesity is a serious public health problem in the United States. It is important to estimate obesity prevalence at the local level to target programmatic and policy interventions. It is challenging, however, to obtain local estimates of obesity prevalence because national health surveys such as the Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System (BRFSS) are not designed to produce direct estimates at the local levels (e.g. census tracts) due to small population samples and the need to preserve individual confidentiality. In this study we address the problem of estimating local obesity prevalence rates by implementing a spatial microsimulation modeling technique to proportionally replicate the demographic characteristics of BRFSS respondents to census tract populations in metropolitan Detroit. Obesity prevalence rates are examined for high and low spatial clusters and studied in relation to the U.S. Department of Agriculture's (USDA) measures of low-income neighborhoods and local food deserts and CDC's measure of healthy and less healthy food environments currently used to target obesity reduction initiatives. This study found that obesity prevalence was largely clustered in the City of Detroit extending north into contiguous suburbs. The spatial patterns of highest obesity prevalence tracts were most similarly aligned with USDA-defined low-income tracts and CDC's less healthy food tracts. The locations of USDA's food desert tracts rarely overlapped with the highest obesity prevalence tracts. This study demonstrated a new methodology by which to assess local areas in need of future obesity interventions.     

自然风景区雷电灾害风险评估方法研究

雷电灾害已日益成为影响人类经济社会发展的严重灾害之一。基于信息扩散理论建立雷电灾害风险评估模型,对江苏省2008—2019年雷电灾害事故进行分析计算。结果表明：江苏省雷电灾害事故多集中于320次·a^-1内,约1.9 a一遇,而发生880次·a^-1以上的概率较小,约38.2 a一次;人身伤亡风险主要集中在12人·a^-1内,约1.8 a一遇,大于30人·a^-1的伤亡次数则约14.1 a发生一次;经济损失风险值为650万元·a^-1的累积发生概率为58.62%,而2 250万元·a^-1的发生概率极低,仅为1.84%。定量化的计算分析数据可使人们对雷电灾害事故有更深入的了解,并为相关政府部门制定防灾减灾决策提供一定的科学依据。

     

玛河流域景观生态风险评价与时空分异

以玛纳斯河流域作为研究区,结合特殊的干旱区山地-绿洲-荒漠系统(Mountain-Oasis-Desert System简称MODS),综合考虑遥感影像数据光谱信息和纹理特征,将研究区分为耕地、林地、草地、水体、裸地、居民地、工业用地和冰川/永久积雪等8个景观类型,利用FRAGSTATS软件计算景观指数,引入生态风险的指数,将研究区划为低、较低、中、较高、高生态风险区五级,评估其景观格局的生态风险时空变化特征。结果表明:1)1990—2015年间,玛纳斯河流域景观变化主要表现为耕地、建设用地的增加以及水体、冰川/永久积雪面积的缩减;2)玛纳斯河流域的景观生态风险等级空间分布具有明显的差异,较低风险区的面积变化较为明显,低、较低生态的风险区比重有所上升,除此以外,林、草地类型各生态风险的等级所占比重的起伏波动具有明显的差异。建议应当合理地利用土地资源,尽量保护林地、草地等景观脆弱行较低的原生景观类型,禁止为开垦耕地而破坏林地、草地;增加土地的利用效率,更要对高等、较高生态风险区加强监管。     

桥梁健康监测与评估中的静力水准技术研究

近年来,我国的桥梁建设事业发展迅速,在桥梁数量大幅增加的同时,其安全形势却较为严峻,因此,越来越多的人开始重视桥梁运营的安全性及耐久性.桥梁健康监测技术通过对桥梁结构的监控及评估,在桥梁运营状况发生异常时发出预警,能够为桥梁的维护及管理提供科学的指导和依据.而静力水准监测技术与传统的光学水准监测技术相比,具有实时性、高...     

经济空间场与ESDA结合的公共卫生事件应急策略制定

新型冠状病毒肺炎疫情引起了人们对国家公共卫生事件应对能力的广泛关注。基于波及效应梯度场提出了生产诱发梯度,进一步完善了经济空间场理论,并将其与探索性空间数据分析(exploratory spatial data analysis,ESDA)相结合,对医药制造业波及效应及空间布局进行了研究,制定了有效的公共卫生事件应急策略。经济空间场理论分析结果揭示了产业经济空间中医药制造业与各产业部门之间的波及效应,并由此得到了医药密切相关产业。同时,经济空间场理论与ESDA方法的结合能在区分中国大陆各省空间聚集类型的基础上,评估各省公共卫生事件的应对能力,从而为各省提出相应的应急策略和医药制造业发展建议。该方法综合考虑了产业波及效应和产业空间布局现状,不仅能够促进各省医药制造业的健康合理发展,也有助于增强各省突发公共卫生事件的应对能力。     

Integrating environmental variables and WorldView-2 image data to improve the prediction and mapping of Thaumastocoris peregrinus (bronze bug) damage in plantation forests

This study integrated environmental variables together with high spectral resolution WorldView-2 imagery to detect and map Thaumastocoris peregrinus damage in Eucalypt plantation forests in KwaZulu-Natal, South Africa. The WorldView-2 bands, vegetation indices and environmental variables were entered separately into PLS regression models to predict T. peregrinus damage. The datasets were then integrated to test the collective strength in predicting T. peregrinus damage. Important variables were identified by variable importance (VIP) scores and were re-entered into a PLS regression model. The VIP model was then extrapolated to map the severity of damage and predicted T. peregrinus damage with an R² value of 0.71 and a RMSE of 3.26% on an independent test dataset. The red edge and near-infrared bands of the WorldView-2 sensor together with the temperature dataset were identified as important variables in predicting T. peregrinus damage. The results indicate the potential of integrating WorldView-2 data and environmental variables to improve the mapping and monitoring of insect outbreaks in plantation forests. The result is critical for plantation health monitoring using a new sensor which contains important vegetation wavelengths.