气候变化对西苕溪流域未来洪水影响研究——Ⅱ.情景分析

研究表明VIC模型在西苕溪流域具有良好的适用性,特别是对汛期洪水的模拟。应用陆面水文模型VIC与区域气候模式PRECIS耦合,探讨了西苕溪流域未来洪水对气候变化的响应。结果表明：横塘村水文站月平均流量与月最大洪峰流量的关系较为密切,相关系数均在0.85以上,在一定程度上可以表征洪水的变化特征;基于PRECIS生成的气候情景,未来时期西苕溪流域洪水对气候变化的响应比较明显,尤其是汛期流量增加趋势较显著;结合P-Ⅲ型分布频率分析,西苕溪流域2021~2050年发生洪水极值事件的频率及量级都较基准期增大,且A2情景比B2情景相对更容易触发较大洪水,基准期50 a一遇洪水在未来两种情景下分别缩短为27 a一遇和32 a一遇,说明流域洪水对于气候变化的响应程度增大。     

'It'll never happen to me': understanding public awareness of local flood risk

Following the severe flood events of 1998 and 2000, the United Kingdom's Environment Agency prioritised the need to increase public flood risk awareness. Drawing on data collected during research undertaken for the Environment Agency, this paper contributes to understanding of one aspect of flood awareness: people's recognition that their property is in an area that is potentially at risk of flooding. Quantitative analyses indicate that class is the most influential factor in predicting flood risk awareness, followed by flood experience and length of time in residence. There are also significant area differences. Our qualitative work explores how those defined as 'at risk' account for their lack of awareness or concern about their risk status. We conclude that the problem is often not simply a lack of awareness, but rather, assessments of local risk based on experience that underestimate the impact of rare or extreme events. We underline the importance of engaging with local perspectives on risk and making local people part of 'awareness-raising' processes.     

区域洪水灾害风险评估体系(Ⅱ)——模型与应用

准确了解区域洪水灾害风险分布状况及规律,对于洪水灾害预警与管理具有重要意义。首先分析了模糊综合评估法的原理,以GIS空间技术为手段,建立了基于GIS的洪水灾害风险评估模型。然后以马来西亚洪水灾害风险评估应用为例,剖析了洪水灾害风险模糊评估的方法及过程,利用该模型计算出洪水灾害风险并制作了洪水灾害风险等级图和风险指数图。结果表明,该模型对于评价洪水灾害风险是行之有效的。     

Uncertainty Reduction of the Flood Stage Forecasting Using Neural Networks Model1

Abstract: The Elman Discrete Recurrent Neural Networks Model (EDRNNM), which is one of the special types of neural networks model, is developed and applied for the flood stage forecasting at the Musung station (No. 1) of the Wi‐stream catchment, which is one of the International Hydrological Program representative basins, Korea. A total of 135 different training patterns, which involve hidden nodes, standardization process, data length, and lead‐time, are selected for the minimization of the architectural uncertainty. The model parameters, such as optimal connection weights and biases, are estimated during the training performance of the EDRNNM, and we apply them to evaluate the validation performance of the EDRNNM. Sensitivity analysis is used to reduce the uncertainty of input data information of the EDRNNM. As the results of sensitivity analysis, the Improved EDRNNM consists of four input nodes resulting from the exclusion of Dongkok station (No.5) in initial five input nodes group of the EDRNNM. The accuracy of flood stage forecasting during the training and validation performances of the Improved EDRNNM remains the same as that of the EDRNNM. The Improved EDRNNM, therefore, gives highly reliable flood stage forecasting. The best optimal EDRNNM, so called the Improved EDRNNM, is determined by elimination of the uncertainties of architectural and input data information in this study. Consequently, we can avoid unnecessary data collection and operate the flood stage forecasting system economically.     

退田还湖对鄱阳湖洪水调控能力的影响

利用实测资料统计了鄱阳湖近50年来湖盆形态和洪水水情的变化,表明由于围垦的作用,1954~1992年鄱阳湖面积共减小1 300 km2,容积共减少81×108 m3,调节系数从17.3%下降到13.7%,调洪能力降低20.8%;20世纪90年代与50年代相比,年最高水位平均值抬高1.80 m。计算了退田还湖对近50年来两次特大洪水（1954年洪水和1998年洪水）最高水位的效应值,表明分别可使1954年洪水和1998年洪水的最高水位降低0.72 m和0.68 m。估算了退田还湖对鄱阳湖洪水位频率的影响,表明50年一遇和100年一遇的洪水位分别可降低0.63 m和0.68 m。计算还表明,高水还湖（单退）降低洪水位的作用与圩区还湖前夕的内涝程度密切相关,说明及时排除圩区的内涝对保障退田还湖的防洪减灾作用至关重要。分析了退田还湖面临的主要问题,分别是高水还湖圩区的内涝问题和平垸行洪（双退）圩区的血防问题;探讨解决这两个问题的具体对策,分别为单退圩堤采用“限高加固,排空待蓄”的运作方式,双退圩堤采用“敞开进洪,兼顾血防”的运用方式。     

Vulnerability of schools to floods in Nyando River catchment,Kenya

This paper assesses the vulnerability of schools to floods in the Nyando River catchment (3,600 km²) in western Kenya and identifies measures needed to reduce this vulnerability. It surveys 130 schools in the lower reaches, where flooding is a recurrent phenomenon. Of the primary schools assessed, 40% were vulnerable, 48% were marginally vulnerable and 12% were not vulnerable. Of the secondary schools, 8% were vulnerable, 73% were marginally vulnerable and 19% were not vulnerable. Vulnerability to floods is due to a lack of funds, poor building standards, local topography, soil types and inadequate drainage. The Constituencies Development Fund (CDF), established in 2003, provides financial support to cover school construction and reconstruction costs; CDF Committees are expected to adopt school building standards. In an effort to promote safe and resilient construction and retrofitting to withstand floods, this paper presents vulnerability reduction strategies and recommendations for incorporating minimum standards in the on‐going Primary School Infrastructure Programme Design.     

Flood proneness and coping strategies: the experiences of two villages in Bangladesh

This paper explores peoples' indigenous survival strategies and assesses variations in people's ability to cope with floods in two flood‐prone villages in Bangladesh. It reveals that people continuously battle against flood vulnerability in accordance with their level of exposure and abilities, with varied strategies employed at different geophysical locations. The paper reports that people in an area with low flooding and with better socioeconomic circumstances are more likely to cope with impacts compared to people in areas with high and sudden flooding. Similarly, households' ability to cope varies depending on people's socioeconomic conditions, such as education, income and occupation. Although floods in Bangladesh generate socioeconomic misery and cause damage to the environment, health and infrastructure, people's indigenous coping strategies have helped them to reduce significantly their vulnerability. Such flood‐mitigating strategies should be well recognised and emphasised further via proper dissemination of information through an early‐warning system and subsequently external assistance.     

Health and social impacts of a flood disaster: responding to needs and implications for practice

Carlisle in northwest England suffered its worse floods for more than 180 years in 2005. A study, reported here, was undertaken to assess the health and social impacts of these floods via in‐depth, taped individual and focus‐group interviews with people whose homes had been flooded and with agency workers who helped them. Respondents spoke of physical health ailments, psychological stress, water health‐and‐safety issues related to the floods, and disputes with insurance and construction companies, which they felt had caused and exacerbated psychological health problems. Support workers also suffered from psychological stress. Furthermore, it was found that people had low expectations of a flood and were not prepared. The findings are presented in five sections covering flood risk awareness, water contamination issues, physical health, mental health, and impact on frontline support workers. The discussion focuses on the implications of the findings for policy and practice vis‐à‐vis psychological health provision, contamination issues, training and support for frontline support workers, matters relating to restoration, and preparation for flooding.     

上海降雨特征及其对城市水情灾害的影响

利用上海降雨资料,分析了上海汛期降雨的变化和最大年日雨量极值的累积分布规律,近期降雨空间分布、暴雨频度和强降雨特征,及气候因子对水情灾害的影响。结果显示,汛期雨量大小对水情灾害影响较为复杂,大暴雨或强降雨是造成水情灾害的重要原因。初步探讨和提出了气候因子的灾害危险评估方法,并对上海各区(县)近期的暴雨灾害影响进行了危险评估;暴雨对上海地区水情灾害影响差异明显,崇明、市中心区和浦东新区暴雨灾害危险较大,南部地区的青浦、金山、奉贤和松江区危险较小。     

On the Food Disasters in the Lower Jingjiang Reaches: Grey Prediction Model and Application

In the light of the historical substantial data (covering a 70-year period) collected in the Lower Jingjiang segment and aided by topological grey method, here we attempt to characterize the occurrence and future trend of flood calamities in the study area. Our findings indicate that overall the high-frequent flood disasters with middle to lower damage prevail at present. A series of dramatic flood waves will appear in the years of 2016, 2022, 2030and 2042, particularly a destructive flood will occur between 2041 and 2045 in the Lower Jingjiang reaches. Typical of sensitive response to flood hazards in close association with its special geographical location, the lower Jingjiang segment hereby can reflect the development trend of floods in the middle Yangtze reaches. According to the results, a good fitness was revealed between the prediction and practical values. This actually hints that the topological grey method is an effective mathematical means of resolving problems containing uncertainty and indetermination, thus providing valuable information for the flood prediction in the middle Yangtze catchment.