近30年全球大停电事故发生的深层次原因分析及启示

2019年以来,委内瑞拉、阿根廷、美国、印尼、英国等多国相继发生多起大停电事故,电网安全成为各方关注的焦点与舆论热点。通过梳理近30年138件主要大停电事件,发现2008年后大停电进入高发期,主要经济体是大停电事故的“重灾区”。自然灾害原因占比56%,影响范围相对明确可控;电力管理体制原因占31%,易与其他诱发因素伴发,具有全局性、系统性影响,可能危害到整个国家和地区的能源安全;意外或人为事故原因占10%;网络攻击成为新兴原因占3%,具有隐蔽性、复杂性强、防御难度大、物理伤害大等特点。深入剖析4类大停电事故发生的原因,根据中国国情和网情,提出防范中国大停电事故发生的措施和建议。     

基于功效系数法的滑坡灾害风险评估研究

基于功效系数法的基本原理,在综合考虑滑坡的关键影响因素基础上,选取滑坡规模、滑坡稳定系数、当日降雨量、潜在经济损失、受灾人数作为评价因子,建立了一种新的滑坡灾害风险评估方法,并将该方法应用于瀑布沟水电站库区12处滑坡灾害评估,评价结果表明,除麦地滑坡实际结果为Ⅲ级而预测结果为Ⅳ级外,结果准确率达到91.7%。这表明基于功效系数法的滑坡灾害风险评估方法是可行的,为滑坡灾害的风险评估提供了一种新的方法。     

安徽省农业旱灾脆弱性综合分析与评价

旱灾是影响安徽省农业特别是粮食生产可持续发展的重要制约因素。在相同致灾强度下,灾情会随灾害脆弱性的增强而加重,因此,研究农业旱灾脆弱性对安徽省防灾减灾和农业可持续发展具有特别重要意义。根据影响旱灾脆弱性的因素和指标体系选取的原则,选择了旱灾面积比、森林覆盖率、农村人均收入等9个指标,采用加权综合评价方法对各市旱灾脆弱性进行分析,并利用聚类分析方法进行旱灾脆弱性区划。结果表明,除合肥市、阜阳市、池州市、宿州市和黄山市5个市需要采取措施降低旱灾脆弱度外,安徽省总体上农业旱灾脆弱性较弱,有较强的抗旱承灾能力。     

入海水道二期对洪泽湖地区洪水风险的影响研究

为探究淮河入海水道二期工程对洪泽湖的泄洪能力以及周边滞洪区的影响,在对研究区河网概化及地形处理的基础上,建立了研究区河网一维、洪泽湖湖区与周边滞洪区二维耦合的水动力数值模型,并采用1991,2003,2006,2007四年实测历史洪水资料对模型进行率定及验证。基于现状工况、规划工况以及不同洪水量级,设计了5个对比方案对研究区进行洪水演进数值模拟,对不同洪水量级进行横向对比,对不同工况进行纵向对比,并对不同方案进行淹没面积分析和洪水影响分析。结果表明,入海水道二期工程的启用可以有效降低洪泽湖水位,提高洪泽湖的防洪标准和周边滞洪区的启用标准,减少同等洪水量级下的受影响人口数和区域GDP,为洪泽湖的防洪安全建设以及周边蓄滞洪区的稳定发展创造了条件。     

基于MIKE FLOOD的城区溃坝洪水模拟研究

大坝安全不仅影响工程效益,还影响人民的生命和财产安全,溃坝洪水模拟可以对水库大坝的失事影响做出评估,对制定应急预案和防洪减灾具有重要意义。以深圳市龙华新区民治水库及下游片区为研究对象,基于MIKE FLOOD将MIKE11模型和MIKE21模型进行动态耦合,对溃坝洪水在下游的演进过程进行仿真模拟。模型采用瞬间溃(瞬间部分溃和瞬间全溃)以及逐渐溃两种溃决方式,分别模拟4种工况下的溃口流量过程线以及下游洪水演进过程。结果表明:瞬间溃的洪峰流量较大,出现在溃坝开始时刻,而逐渐溃的洪峰流量相对较小,出现在渗透破坏变形发展至上部坝体坍塌时刻,之后均随库区水位逐渐降低,下泄流量变小,直至库区水体排空。溃坝洪水对上游地区横岭村附近破坏较大,淹没水深较深。民治河中游段居民和商业区附近洪水流速接近5 m/s,对建筑物有一定破坏力,左侧向南村地势较低,淹没情况最为严重,并且在洪水消退后仍有3 m左右积水。民治河下游地区在洪水消退后也有少量积水。     

燕山水库汛限水位动态控制方案研究

随着全球极端气候越发频繁、水资源时空分布更加不均,水资源供需矛盾日益加剧。为充分利用水库调控水资源能力和发挥工程效益,采用预蓄预泄法对燕山水库汛限水位进行动态控制方案研究,首先基于下游防洪安全,根据降雨与洪水预报信息,采取预蓄预泄方案确定汛限水位上限值;再基于大坝自身安全和水库超泄能力分析确定了主汛期与后汛期的最高汛限水位。与原汛限水位104.20 m相比,考虑洪水预报信息情况汛限水位可调整至104.77 m,考虑降雨预报信息时可调整至105.36 m。计算分析结果表明,调整后的动态汛限水位对大坝自身安全及下游防洪安全影响较小,提高了水资源可利用率,具有可实施性。     

Giant hogweed at its northern distribution limit in North America: Experiments for a better understanding of its dispersal dynamics along rivers

We studied the reproduction and dispersal of giant hogweed (Heracleum mantegazzianum) at its northern distribution limit in North America (Québec, 2014–2016) to better understand the invasion dynamics of the species along rivers. Seeds were collected from a riparian population to conduct germination, floatation, and dispersal experiments. Data were analysed in comparison with a real invasion case that was initiated about 10 years ago along a river system. In Québec, giant hogweed individuals produce on average 14,000 to 16,000 seeds with a germination rate of 75–85%. Seeds with endosperm that fall in water likely sink within 5 hr. Along a small brook, most disperse over short distances (<40 m) in summer, although some can travel 100–300 m. These data suggest that late‐summer or early‐fall water dispersal of seeds would not explain the magnitude and rapidity of the invasion patterns observed along streams. We suggest that late‐fall and, especially, spring floods are the most efficient dispersal vectors for giant hogweed seeds and are likely responsible for the establishment of populations kilometres downstream from introduction points along river systems. The spread of giant hogweed would consequently be less influenced in the near future by a rise in temperature than by a change in the magnitude or timing of flood events.     

Effect of substrate on the risk of being washed away by floods for the Groundhoppers Tetrix subulata and Tetrix tenuicornis (Orthoptera: Tetrigidae)

Inundation zones of rivers are risky environments for terrestrial animals because of the regular or irregular occurrence of floods. Although animals in these zones have evolved several strategies to survive floods, behavioural anti‐flooding strategies have seldom been studied but could play an important role in their life history strategies. We previously reported that the groundhopper Tetrix tenuicornis moves to dense vegetation in response to low atmospheric pressure (which may signal rain and flooding) but prefers mossy microhabitats and bare ground under high atmospheric pressure. In the current study, we found that the ability of the semi‐aquatic groundhoppers T. tenuicornis and Tetrix subulata to withstand direct water flow was greater in patches of dense vegetation than in patches of moss or on bare ground. Even a relatively low water velocity led to water transport (presumably passive) of both species, perhaps because they lack arolia or other adhesive devices on their tarsi. This morphological limitation precludes vertical migration on vegetation, which is a common anti‐flooding strategy in insects. Our results suggest that, by moving to dense vegetation in response to drops in atmospheric pressure, groundhoppers may reduce their risk of being washed away by floods.     

Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set

This study aims to improve the general flood vulnerability approach using fuzzy TOPSIS based on α-cut level sets which can reduce the uncertainty inherent in even fuzzy multi-criteria decision making process. Since fuzzy TOPSIS leads to a crisp closeness for each alternative, it is frequently argued that fuzzy weights and fuzzy ratings should be in fuzzy relative closeness. Therefore, this study used a modified α-cut level set based fuzzy TOPSIS to develop a spatial flood vulnerability approach for Han River in Korea, considering various uncertainties in weights derivation and crisp data aggregation. Two results from fuzzy TOPSIS and modified fuzzy TOPSIS were compared. Some regions which showed no or small ranking changes have their centro-symmetric distributions, while other regions whose rankings varied dynamically, have biased (anti-symmetric) distributions. It can be concluded that α-cut level set based fuzzy TOPSIS produce more robust prioritization since more uncertainties can be considered. This method can be applied to robust spatial vulnerability or decision making in water resources management.     

基于MIKE FLOOD的洪泽湖周边滞洪区洪水演进模拟研究

基于实测断面资料建立了研究区的一维水动力模型,基于高精度DEM以及1∶10000地形图建立了研究区的二维水动力模型,并用MIKE FLOOD将一维模型和二维模型进行耦合,构建了洪泽湖周边滞洪区一、二维耦合的洪水演进数学模型。利用2003年历史洪水资料对模型参数进行了率定,并以2007年历史洪水资料进行了验证。以洪泽湖百年一遇设计洪水为模型上边界,二河闸、三河闸以及高良涧闸的现行调度方案的水位-流量关系为模型下边界,对洪泽湖百年一遇设计洪水方案进行模拟计算,当蒋坝水位达到14.33m时,洪泽湖周边滞洪区开始滞洪,得到开始滞洪后不同时段研究区内各类洪水风险要素的动态分布情况以及最大淹没水深、淹没历时,验证了模型的合理性,可用于蓄滞洪区洪水演算分析。