南方城市雨洪基础设施安全保障对策探析

通过对基础设施、单项综合交通、环境保护、绿地系统及河湖水系、城市排水、综合防灾规划中雨洪相关内容进行整合,建立科学的雨洪专项综合规划模式。对雨洪专项综合规划中的城市基础设施用地规划、道路雨水收集方式、绿地系统、河湖水面及大型公共设施的雨洪调蓄用地、雨水的环境污染、雨水工程及防洪工程等雨洪内容进行控制,确保雨洪专项综合规划的实施。采用区域统筹、科学调度的综合管理模式,保障雨洪专项综合规划健康持续发展,为提高城市雨洪基础设施安全保障性能、提升城市防灾减灾能力提供科学依据。     

洪灾对柳州可持续发展的影响及减灾对策

通过对柳州市洪灾特点的分析，探讨了洪灾对柳州市经济、社会可持续发展的制约作用，提出洪灾的治理必须走可发展的道路，采用工程措施和非工程措施相结合的对策。     

对地观测技术在重大自然灾害监测与评估中的应用实例分析

对地观测技术可提供大范围、多时相、高分辨率的海量数据，用于自然灾害的监测与评估有其极大的优越性。本文叙述了对地观测技术在洪涝灾害、沙尘天气、森林火灾的监测与评估和地震形变场研究中的应用，并指出对地观测技术是建立数字减灾系统不可或缺的强大信息源。     

自然灾害灾后重建技术及实践的研究进展

灾后重建是在灾害体发生之时及发生之后,采取应急救援、灾害管理,以及灾后评估、救助、规划等一系列过程,是一个典型的系统工程,可划分为前期应急重建、中期恢复重建及后期发展重建3部分。以自然灾害为主要研究对象,在分析中外关于灾后重建文献的基础之上,归纳了灾后重建的系统特征,介绍了灾后重建技术和实践的研究进展。灾后重建技术包括灾害分类分级、应急救援、灾后评估、灾害管理和重建规划5个方面,灾后重建实践研究分为地震、飓风、洪水和海啸4个方面,并对中外的灾后重建研究发展进行了展望。     

Community cohesion after a natural disaster: insights from a Carlisle flood

This project analysed changes in community cohesion following a natural disaster. Data were collected from a flood‐affected community using a questionnaire survey. Analyses revealed that community cohesion was not predicted by the length of residence, or any other demographic characteristic of residents, but rather by a sense of community, community cognition and the degree of community participation. Cohesion alteration was not uniform, but varied along levels of hazard severity (degree of flood invasion). Cohesion increased in line with hazard severity at the initial flood stage, as residents recognised the importance of community unity and came together to cope with their losses. When the severity increased, residents transferred their focus to individual interests, which resulted in decreased cohesion. This project distinguishes itself in examining community cohesion in the wake of a natural disaster in the real world. Implications regarding community reconstruction and suggestions for hazard researchers are discussed accordingly.     

社会减灾能力信任及水灾风险感知的区域对比——基于江西九江和宜春公众的调查

研究公众对社会减灾能力及灾害风险的认识，有助于从公众视角揭示风险潜在因素，不仅是进行风险沟通的必备环节，还可以为开展有效的减灾宣传教育、提高公众减灾意识提供决策依据。通过社会调查（221份样本）和统计分析方法，比较了江西九江、宜春公众对于社会减灾能力的信任及水灾风险感知。结果表明，公众对于社会减灾能力基本持信任态度，信任度高低排序为：灾害监测预报>政府应急>防灾工程>预警传播，其中宜春公众的信任度较高；公众对于水灾的风险感知较弱，尤其是宜春公众认为水灾发生、受灾的可能性很小；公众的信任与对区域减灾能力的了解无关，主要是受到受灾经历（受灾次数、灾情损失、灾后救援）的影响，即区域本底灾害风险的高低导致公众认知的差异，风险较高区域（九江）的公众具有更为明确的降低风险的行为倾向及意愿。     

20世纪长江的3次巨洪

分析了形成20世纪长江3次巨洪的3个遥相关因子：（1）太阳黑子活动；（2）厄尔尼诺事件，（3）青藏高原南部大震。依据长江巨洪和遥相关因子的基本事实，讨论了长江发生巨洪的统计规律。指出当3个因子的出现时间互相重叠时，长江很可能发生巨洪，这对长江巨洪的超长期预测具有重要的指导作用。     

CLIMATE FACTOR FOR SMALL-BASIN FLOOD FREQUENCY1

ABSTRACT: A climate factor, C_T, (T = 2–, 25-, and 100-year recurrence intervals) that delineates regional trends in small-basin flood frequency was derived using data from 71 long-term rainfall record sites. Values of C_T at these sites were developed by a regression analysis that related rainfall-runoff model estimates of T-year floods to a sample set of 50 model calibrations. C_T was regionalized via kriging to develop maps depicting its geographic variation for a large part of the United States east of the 105th meridian. Kriged estimates of C_T and basin-runoff characteristics were used to compute regionalized T-year floods for 200 small drainage basins. Observed T-year flood estimates also were developed for these sites. Regionalized floods are shown to account for a large percentage of the variability in observed flood estimates with coefficients of determination ranging from 0.89 for 2-year floods to 0.82 for 100-year floods. The relative importance of the factors comprising regionalized flood estimates is evaluated in terms of scale (size of drainage area), basin-runoff characteristics (rainfall. runoff model parameters), and climate (C_T).     

INSTANTANEOUS PEAK FLOW ESTIMATION PROCEDURES FOR NEWFOUNDLAND STREAMS1

ABSTRACT: A procedure of estimating instantaneous flood flows for various return periods on the Island of Newfoundland is presented. The procedure is based on annual maximum instantaneous flows rather than annual maximum daily-mean flows, as the latter requires the conversion of estimated daily-mean flows into instantaneous flows. Regression equations were developed for each of three homogeneous regions for the desired return periods. The flood flow estimation capability of the presented procedure is demonstrated to be better than any other currently available procedure on the Island.     

A NEW LOOK AT FLOOD RISK DETERMINATION1

ABSTRACT: The probability distributions of annual peak flows used in flood risk analysis quantify the risk that a design flood will be exceeded. But the parameters of these distributions are themselves to a degree uncertain and this uncertainty increases the risk that the flood protection provided will in fact prove to be inadequate. The increase in flood risk due to parameter uncertainty is small when a fairly long record of data is available and the annual flood peaks are serially independent, which is the standard assumption in flood frequency analysis. But standard tests for serial independence are insensitive to the type of grouping of high and low values in a time series, which is measured by the Hurst coefficient. This grouping increases the parameter uncertainty considerably. A study of 49 annual peak flow series for Canadian rivers shows that many have a high Hurst coefficient. The corresponding increase in flood risk due to parameter uncertainty is shown to be substantial even for rivers with a long record, and therefore should not be neglected. The paper presents a method of rationally combining parameter uncertainty due to serial correlation, and the stochastic variability of peak flows in a single risk assessment. In addition, a relatively simple time series model that is capable of reproducing the observed serial correlation of flood peaks is presented.