Application of bivariate extreme value distribution to flood frequency analysis: a case study of Northwestern Mexico

In Mexico, poverty has forced people to live almost on the water of rivers. This situation along with the occurrence of floods is a serious problem for the local governments. In order to protect their lives and goods, it is very important to account with a mathematical tool that may reduce the uncertainties in computing the design events for different return periods. In this paper, the Logistic model for bivariate extreme value distribution with Weibull-2 and Mixed Weibull marginals is proposed for the case of flood frequency analysis. A procedure to estimate their parameters based on the maximum likelihood method is developed. A region in Northwestern Mexico with 16 gauging stations has been selected to apply the model and regional at-site quantiles were estimated. A significant improvement occurs, measured through the use of a goodness-of-fit test, when parameters are estimated using the bivariate distribution instead of its univariate counterpart. Results suggest that it is very important to consider the Mixed Weibull distribution and its bivariate option when analyzing floods generated by a␣mixture of two populations.     

Peak runoff contributing area as hydrological signature of the probability distribution of floods

For the analysis of hydrological extremes and particularly in flood prediction, deeper investigation is needed on the relative effects of different hydrological processes acting at the basin scale in different hydroclimatic areas of the world. In this framework, the theoretical derivation of flood distribution shows a great potential for development and knowledge advancement. In addition, another promising path of investigation is represented by the use of distributed hydrological models via simulation modelling (including Monte Carlo, discrete event and continuous simulation). In this paper results of a theoretically derived flood frequency distribution are analyzed and compared with the results of a simulation scheme that uses a distributed hydrological model (DREAM) in cascade with a rainfall generator (IRP). The numerical simulation allows the reproduction of a large number of extreme events and provides insight into the main control for flood generation mechanisms with particular emphasis to the peak runoff contributing areas, highlighting the relevance of soil texture and morphology in different climatic environments. The proposed methodology is applied here to the Agri and the Bradano basin, in Southern Italy.     

回溯时间积分格式的有效性研究

采月正压准地转模式作为动力核,用Rossby-Haurwitz波函数作为理想场,同时使用回溯时间积分格式和普通中央差格式进行数值试验.结果表明,在短时积分的情况下,回溯格式能减小数值解误差1～2个量级,而且它对时间步长的增大不敏感.因此使用回溯格式可以减少积分计算量,延长积分时效.     

铁路沿线灾害性天气监测、预测、预警系统

针对铁路三防（防风，防沙，防洪）的需要，结合大风监测系统建设的实际，对恶劣天气气候条件下，如何保障列车运行安全进行了探讨，并提出铁路沿线灾害性天气监测，预测，预警系统。     

一种改进我国汛期降水预测的新思路

1998年1月赤道东太平洋海温为正异常、1月黑潮－西风漂流区海温为负异常、青藏高原冬春积雪为正异常。通过对1998年汛期降水的预测实践分析研究指出，当此三因子同时异常时，利用其中任何一个单因子都难以较好地同时预测出1998年发生在我国长江中下游和东北嫩江流域的多雨区和华北平原的少雨区。而通过EOF分解和动力模式对三因子异常进行综合集成所作的预测和实况基本一致。对多因子异常的综合集成是改进和提高汛期降水预测水平的有效手段，沿着这一新思路，利用EOF筛选出前明显异常的重要因子，选择一个较好的区域气候模式，有希望通过综合集成作出比较可信的预报。     

河南省汛期气候预测概念模型

在河南省6种雨型的基础上，分析了物理要素海温、季风、西太平洋副高及气候因子和河南省汛期降水的关系，给出了河南省汛期降水的气候预测概念模型。通过逻辑推理，可以具体预测雨型。     

Comparative study of electron density from incoherent scatter measurements at Arecibo with the IRI-95 model during solar maximum

Arecibo (18.4 N, 66.7 W) incoherent scatter (IS) observations of electron density N(h) are compared with the International Reference Ionosphere (IRI-95) during midday (10/14 h), for summer, winter and equinox, at solar maximum (1981). The N(h) profiles below the F2 peak, are normalized to the peak density NmF2 of the F region and are then compared with the IRI-95 model using both the standard B0 (old option) and the Gulyaeva-B0 thickness (new option). The thickness parameter B0 is obtained from the observed electron density profiles and compared with those obtained from the IRI-95 using both the options. Our studies indicate that during summer and equinox, in general, the values of electron densities at all the heights given by the IRI model (new option), are generally larger than those obtained from IS measurements. However, during winter, the agreement between the IRI and the observed values is reasonably good in the bottom part of the F2 layer but IRI underestimates electron density at F1 layer heights. The IRI profiles obtained with the old option gives much better results than those generated with the new option. Compared to the observations, the IRI profiles are found to be much thicker using Gulyaeva-B0 option than using standard B0.     

Seasonal Forecasting for Climate Hazards: Prospects and Responses

One of the most promising developments for early warning of climate hazards is seasonal climate forecasting. Already forecasts are operational in many parts of the tropics and sub-tropics, particularly for droughts and floods associated with ENSO events. Prospects for further development of seasonal forecasting for a range of climatichazards are reviewed, illustrated with case studies in Africa, Australia, the U.S.A. and Europe. A critical evaluation of the utility of seasonal forecasts centres on vulnerability, communicationchannels, and effective responses. In contrast to short-term prediction, seasonal forecasts raise new issues of preparedness and the use of information.     

铜陵市区的烟幕分析及其预测

作者应用气象资料分析烟幕的发生规律，并应用灰色理论对烟幕进行预测。     

海安暴雨洪涝灾害预报探讨

暴雨洪涝预报是目前气象和水利，水文学科正在致力攻克的预报难题。作者通过调查海安洪涝发生与暴雨的关系，利用水文，地形资料找出径流量和主河道水位升降的相关，结合暴雨预报，推导暴雨洪涝发生的可能以及大致区域和洪涝程度。