区域洪水灾害易损性评价

基于洪水灾害系统特征,提出了区域洪水灾害易损性概念,认为洪水灾害易损性是指在一定社会经济条件下,特定区域各类承灾体在遭受不同强度洪水后可能造成的损失程度;建立了包括致灾因子、孕灾环境、承灾体属性和社会救灾能力在内的洪水灾害易损性评价指标体系;基于层次分析法,构建了目标层为区域洪水易损性,准则层为致灾因子、孕灾环境、承灾体和社会救灾能力,指标层为降水、地形、植被、生命、环境与经济等要素的区域洪水灾害易损性评价模型与评价方法。为便于决策,将易损性分为1～10共10个等级,等级越大,表明区域洪水易损性越高。      

基于DEM的SAR图像洪水水体的提取

星载雷达遥感已广泛应用于洪水灾害的监测和评估中。但是由于其阴影与水体严重混淆 ,使得从雷达图像中提取洪水水体较为困难。为此 ,本文探讨了在地形数据的支持下 ,实现星载SAR图像洪水水体半自动提取的方法。主要包括以下几步 :首先 ,对雷达图像进行滤波处理 ,并将其与地形数据匹配 ,从雷达图像中提取出初步的洪水水体范围 ;其次 ,利用地形数据生成DEM ,并根据雷达图像的成像参数和DEM生成相应的模拟雷达图像 ;最后 ,利用模拟雷达图像上的阴影 ,剔除被误提为洪水水体的阴影 ,从而实现洪水水体的准确提取。研究表明 ,该方法能有效地、半自动地将星载雷达图像上的洪水水体提取出来 ;同时 ,该方法可以用于多种星载多模式的雷达图像的洪水水体的识别提取 ,尤其对含山区的大范围洪水水体的半自动提取 ,更为适用。     

基于多叉树的遍历算法在数字水系拓扑关系计算中的应用

数字水系中各网格或子流域之间的拓扑关系是正确反映洪水演算顺序的重要环节。针对目前流域拓扑关系计算中存在的问题,提出了一种基于多叉树的流域拓扑关系计算方法,该算法将流域中的网格或子流域概化成树形结构的结点图,运用后序遍历递归算法,可快速自动建立反映洪水演算顺序的拓扑结构,解决了复杂流域洪水的演算集成问题,为分布式水文模型的开发研制奠定了坚实的基础,具有较强的实用价值。     

洪水风险分析的研究进展与展望

我国洪涝灾害频繁,损失极大,引人注目。洪水的风险分析工作是实施非工程措施,从而科学有效地防洪减灾的前提和基础。在概括系统风险定义和来源的基础上,对洪水风险分析的研究现状作了评述。洪水风险分析的研究方法已从直接积分法、蒙特卡罗法、均值一次两阶矩法,发展到改进一次两阶矩法、二次矩法和JC法等。综述了洪水风险分析的研究成果,同时建议：（1）明确并统一风险分析的内涵;（2）开展“风险分析的风险”的研究;（3）将熵理论引入到风险分析之中;（4）拓展风险分析的基本理论和研究方法,如应用模糊信息优化处理技术、灰色系统、未确知数学等。     

局部洪水灾害下集疏运路网韧性分析

针对运输网络的韧性标准尚未统一的问题,在集疏运路网特征分析基础上,从结构韧性和功能韧性2个角度构建韧性评价指标框架,通过吸收时间、吸收速率、恢复时间、恢复速率和功能韧性说明路网的某一部分在受到灾害扰动后路网服务能力的保留程度,通过节点保存率和网络结构指标量化路网的结构韧性,依托上海市历年降水数据进行集疏运路网韧性分析。研究结果表明：抵抗能力与功能韧性呈正比,网络属性分布与结构韧性呈正比;网络属性应均匀地分布在功能区域,保证集疏运主要路线的功能性和结构完整性。研究结果可为集疏运路网性能分析和集疏运路网韧性评价指标体系构建提供思路。     

Diffusive wave models for operational forecasting of channel routing at continental scale

Operational forecast models require robust, computationally efficient, and reliable algorithms. We desire accurate forecasts within the limits of the uncertainties in channel geometry and roughness because the output from these algorithms leads to flood warnings and a variety of water management decisions. The current operational Water Model uses the Muskingum-Cunge method, which does not account for key hydraulic conditions such as flow hysteresis and backwater effects, limiting its ability in situations with pronounced backwater effects. This situation most commonly occurs in low-gradient rivers, near confluences and channel constrictions, coastal regions where the combined actions of tides, storm surges, and wind can cause adverse flow. These situations necessitate a more rigorous flow routing approach such as dynamic or diffusive wave approximation to simulate flow hydraulics accurately. Avoiding the dynamic wave routing due to its extreme computational cost, this work presents two diffusive wave approaches to simulate flow routing in a complex river network. This study reports a comparison of two different diffusive wave models that both use a finite difference solution solved using an implicit Crank–Nicolson (CN) scheme with second-order accuracy in both time and space. The first model applies the CN scheme over three spatial nodes and is referred to as Crank–Nicolson over Space (CNS). The second model uses the CN scheme over three temporal nodes and is referred to as Crank–Nicolson over Time (CNT). Both models can properly account for complex cross-section geometry and variable computational points spacing along the channel length. The models were tested in different watersheds representing a mixture of steep and flat topographies. Comparing model outputs against observations of discharges and water levels indicated that the models accurately predict the peak discharge, peak water level, and flooding duration. Both models are accurate and computationally stable over a broad range of hydraulic regimes. The CNS model is dependent on the Courant criteria, making it less computational efficient where short channel segments are present. The CNT model does not suffer from that constraint and is, thus, highly computationally efficient and could be more useful for operational forecast models.     

Effects of Flooding on Lead and Cadmium Speciation in Sediments from a Drinking Water Reservoir

Římov water reservoir on the river Malše is the main source of drinking water for the town of České Budějovice and for the majority of inhabitants in the South Bohemian region, Czech Republic. Changes in cadmium and lead contents in bottom sediments before and after an extensive flood on the river Malše in August, 2002 were therefore determined. A five-step sequential extraction procedure was used in order to obtain more detailed information about the influence of the flood on heavy metal retention. In order to determine the mobility of lead and cadmium, the mobility factor (MF) for these heavy metals was calculated. The mobility factor of cadmium showed a significant decrease in the upper parts of the sediment profiles after the flood (e.g., from 59.4% to 49.1%) caused by a release of cadmium especially from the exchangeable fraction. There were no significant changes in the lead mobility factor after the flood, but a decrease of lead concentration in the exchangeable fraction was observed. Presented results show that the flood led to a leaching of the heavy metals present in bottom sediments into the environment.     

土坝漫坝模糊风险分析

对土坝枢纽的事故风险进行识别、对各种失事形式的影响因素的不确定性,特别是模糊不确定性进行分析;考虑设计变量取值的模糊性与大坝失效准则的模糊性,建立了在洪水和风浪共同作用下的漫坝模糊风险模型;然后研究该漫坝模糊风险模型的求解方法,即引入α水平截集的概念,经过模糊化处理后用常规的JC法计算漫坝模糊失事概率.最后,对广西澄碧河水库的漫坝模糊风险进行了实例计算和评价.计算结果表明,随着防洪限制水位的提高,漫坝模糊风险也随之增大,当防洪限制水位从185.00m提高到186.90 m时,该大坝的模糊风险期望值在不考虑防浪墙的作用时为6.03×10-5,在考虑防浪墙作用时为2.698×10-5,均小于其容许风险标准7.12×10-5.据此,可将该水库的风险水位提高1.9 m,从而增加兴利库容76.00×106 m3.考虑漫坝风险的模糊性使失事风险的计算结果更加合理,风险评价更加符合工程实际,将模糊参数进行模糊化处理后,可直接采用现有传统风险计算方法计算失事概率.本文方法便于在工程中推广应用.     

基于信息扩散理论的福建省农业水灾风险评估

利用1978—2008年福建省农业水灾受灾和成灾面积数据,以灾情(受灾和成灾)指数反映水灾的影响范围,以成受比(成灾与受灾指数的比值)指数反映水灾影响强度,基于正态信息扩散计算方法对农业水灾进行风险评估,利用发生频次法对评估结果进行检验。结果表明:农业受水灾影响的风险概率随风险指数提高而下降;在相同风险指数下,成受比风险概率>受灾风险概率>成灾风险概率;受灾、 成灾、 成受比的平均风险概率分别为0.448 7、 0.480 0、 0.651 6,水灾对福建农业的影响比较频繁,影响范围和强度比较严重。风险评估结果与实际情况基本相符。     

Willingness to pay for agricultural flood insurance in the Mekong River Delta

Increasing urbanization and industrial development upstream of the Mekong River Delta of Vietnam (MRD) including the construction of a series of dams for hydroelectricity generation is changing the downstream risk of flooding. Concerns about the likely influence of global climate change and rising sea levels add further uncertainty to this risk that threatens the livelihood of farmers. With this in mind and in view of the under-developed state of the market for crop insurance in the MRD, we survey rice growers to explore their willingness-to-pay (WTP) for crop insurance by using a choice experiment. The experimental design comprised five attributes, including the type of peril covered – riverine flooding (flooding); flooding triggered by tidal regimes (inundation); or flooding, inundation and wind damage – type of provider; extent of cover and deductible and premium. Two hundred and twenty-six rice-growing farmers were surveyed with each farmer responding to six different choices. Our study shows that WTPs for an insurance plan covering a loss up to 2 million VND/1000m²/farming season and having a deductible of 25% of the potential (profit) crop value varied between 200,000 and 500,000?VND/1000m² (1USD?=?22,550 Vietnamese Dong – VND) for each rice growing season, implying a potential market for crop insurance.