城市汽车空气污染控制基准研究

本文论述了城市汽车空气污染研究的目标、基本方法及城市汽车污染控制区的划分原则和方法.汽车类型流动源采用整个控制区平均浓度作为分析对比的基础不合适,应该专门研究确定基准控制点.为了合理选择确定控制计算点,提出3种方法:峰值法、核心区和重点控制区法、9点平均法.9点平均法可以有效增加各类污染源的敏感点,同时又可避免增加该点位影响过大的缺陷.这种方法在其他类型大气污染源控制中也能发挥作用.     

太湖流域主要城市洪涝灾害生态风险评价

太湖流域有上海，苏州，无锡，常州，镇江，杭州，嘉兴，湖州八个大中城市，是我国产业最集中，工农业最发达的地区之一，但该地区洪涝灾害频繁，这不仅制约了流域中各城市经济的发展，还严重威胁到该地区城市的生存平衡，本文根据生存风险评价原理，结合太湖流域的自然特点，提出成因分析法的指标模型。并通过分析太湖流域八个大中城市的汛期降雨量和地形地貌因子对洪涝灾害生态风险的影响度，得出各个城市洪涝灾害的生态风险度，最后还根据各城市风险度的大小及其主导因素的不同，提出了如何管理洪涝灾害生态风险的建议。     

江苏省城市防汛决策支持系统研究

在分析江苏省城市防汛问题的基础上，设计了其防汛决策支持系统；根据江苏省城市洪涝灾情特点研建和选用了适宜的数学模型，该模型可以迅速、可靠和正确地模拟城市雨情、水情、灾情的发展过程和可能后果，为城市防汛决策提供多层次的信息服务和多种支持手段。     

三论灾害研究的理论与实践

在作者分别于 1991年发表的《论灾害研究的理论与实践》和 1996年发表的《再论灾害研究的理论与实践》的基础上 ,评述了最近 6年来灾害科学研究的进展 ,提出了灾害科学的基本框架 ,进一步完善了“区域灾害系统论”的理论体系 ,提出了当前灾害科学的主要学术前沿问题。文章并就资源开发与灾情形成机理与动态变化过程进行了综合分析 ,阐述了区域灾害的形成过程 ,进一步从区域可持续发展的角度 ,就建设安全社区 (区域 )提出了“允许灾害风险水平”的区域发展对策。     

中国东南沿海重点城市台风危险性分析

中国东南沿海地区是中国经济最发达，人口最稠密的地区，同时也是世界上受台风影响最严重的地区之一。本文以上海经9个沿海重点为例，通过对《台风年鉴》数据的分析处理，提取了台风关键参数并进行了统计分析与建模；利用Monte Carlo抽样和成熟台风风场模型模拟，得到了极值风速序列，对年极值风速序列进行极值风速统计分析，得到了不同重现期和地貌的极值风速，结果与实测风速比较吻合。     

A comparative study of risk perception in small and large communities where chemical industries are present

Opinion polls were conducted to assess the level of risk perceived by the citizens in communities of different sizes where chemical industries were present. The aim of the study was to relate the risk perceived to variables such as the nature of risks, the specific information received regarding the industrial activity and the economic impact of this activity in the community.     

FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES1

ABSTRACT: Machine learning techniques are finding more and more applications in the field of forecasting. A novel regression technique, called Support Vector Machine (SVM), based on the statistical learning theory is explored in this study. SVM is based on the principle of Structural Risk Minimization as opposed to the principle of Empirical Risk Minimization espoused by conventional regression techniques. The flood data at Dhaka, Bangladesh, are used in this study to demonstrate the forecasting capabilities of SVM. The result is compared with that of Artificial Neural Network (ANN) based model for one‐lead day to seven‐lead day forecasting. The improvements in maximum predicted water level errors by SVM over ANN for four‐lead day to seven‐lead day are 9.6 cm, 22.6 cm, 4.9 cm and 15.7 cm, respectively. The result shows that the prediction accuracy of SVM is at least as good as and in some cases (particularly at higher lead days) actually better than that of ANN, yet it offers advantages over many of the limitations of ANN, for example in arriving at ANN's optimal network architecture and choosing useful training set. Thus, SVM appears to be a very promising prediction tool.     

论地膜污染与防治对策

随着地膜覆盖栽培年限的延长，由于残膜回收率低，土壤中残膜量逐步增加，造成地膜污染。通过分析地膜污染对环境和农作物产生的危害，对回收残膜存在的问题，总结出了防治地膜污染的对策与措施。     

A RISK-BASED APPROACH FOR FLOOD CONTROL OPERATION OF A MULTIPURPOSE RESERVOIR1

ABSTRACT: Many approaches are available for operation of a multipurpose reservoir during flood season; one of them is allocation of storage space for flood control. A methodology to determine a reservoir operation policy based on explicit risk consideration is presented. The objective of the formulation is to maximize the reservoir storage at the end of a flood season while ensuring that the risk of an overflow is within acceptable limits. The Dynamic Programming technique has been used to solve the problem. This approach has been applied to develop operation policies for an existing reservoir. The performance of the policy was evaluated through simulation and was found to be satisfactory.