水库生态调度模型及算法研究

随着我国大规模流域开发，大量水库建设对河流生态系统造成了较大影响，如何通过水库合理调度来减轻水库对河流生态环境的负面影响，是当前水库运行调度研究中的一个热点问题。针对现行水库调度过分强调经济利益而忽视生态环境需水状况，致使部分大坝下游和库区发生生态环境退化的现象，从自然资源可持续发展的角度，探讨了水库生态调度的概念和任务，建立了水库生态调度多目标数学模型。该模型以经济效益、社会效益和生态环境效益组成的综合利用效益最大为目标函数，以综合利用要求为约束条件，包括灌溉、发电、航运、旅游、河口压咸和应急用水等。该模型为具有复杂约束条件的多目标规划模型。创建了可行搜索离散微分动态规划算法(FS DDDP算法)对该模型进行了求解。〖     

从“人肉搜索”看网络媒介灾害信息的非主流传播

汶川地震“人肉搜索”事件集中代表了网络媒介灾害信息的非主流传播，成为灾后社会舆论的重要组成部分。本文从汶川地震“人肉搜索”事件入手，结合大量实例，分析了网络媒介灾害信息非主流传播的特点、功能及存在的问题，并提出了有效解决的方法。     

Novelty Detection – Recognition and Evaluation of Exceptional Water Reflectance Spectra

The aim of environmental surveillance is to monitor known phenomena as well as to detect exceptional situations. Synoptic monitoring of large areas in coastal waters can be performed by remote sensing using multispectral sensors onboard satellites. Many methods are in use which enable the detection and quantification of ‘standard algae’ or specific algae blooms using their known spectral response. The present study focusses on the detection of spectra outside the known range and which are referred to as exceptional spectra. In a first step observations from a one-year period were used to establish the parameterisation of what is defined as ‘normal.’ In a second step observations from a different period were used to test the novelty detection application, i.e. to look for features not occurring in the first period.      

地震灾害紧急救援队伍救援行动的规范

介绍了制定地震灾害紧急救援队伍行动规范的背景,阐述了地震灾害紧急救援队伍行动的阶段,给出了地震现场灾害紧急救援队伍行动规范的内容。该规范将有效地规范和协调地震灾害紧急救援队伍的救援行动,提高救援能力与效率,最大限度地减少人员伤亡。     

基于智能优化算法的河流水质模型参数的优化

为探索河流水质模型参数新的求解方法,根据有限的实测数据,分别应用免疫进化优化算法和免疫进化优选的捕食搜索算法,对河流水质模型计算公式中的多参数进行优化。将优化得到的计算公式用于国内外若干河流的河段中DO浓度值的拟合,并与实测结果进行了比较。结果表明,将免疫进化优化算法或免疫进化优选的捕食搜索算法优化得到的水质模型参数精度不仅较高,而且相对稳定,从而为河流水质模型参数的优化提供了一种新方法。     

OPTIMUM DESIGN OF BORDER IRRIGATION SYSTEM1

ABSTRACT: Border irrigation systems like most of the other surface irrigation systems, do not need too much energy and special equipment. Thus, many farmers have used this system for a long time. On the other hand, design of surface irrigation systems including border irrigation requires many input parameters, and need intensive engineering calculations. The burden of these requirements probably led the users to experimental design of the systems with low efficiencies. However, accurate design and high quality optimization of the border irrigation system that can result in a highly efficient system is possible. In this study, an optimization model for border irrigation system is presented. The Hook Jeev's pattern search optimization method in conjunction with a general mathematical model of border irrigation is used to maximize the irrigation application efficiency. The border irrigation storage and distribution efficiencies, border slope and length, inflow rate, cutoff time, and the Manning's roughness coefficient are selected as constraints. The model is applied to field-measured data. The results show that it is possible to select a suitable combination of the border system's parameters (border's length, inflow rate, and cutoff time) to obtain a maximum application efficiency.     

基于AVMD与DPC-FCM的旋转机械无监督故障诊断方法

目的 针对旋转机械故障诊断过程中存在故障信号特征提取困难、故障诊断过程有标签数据较少、故障诊断准确率低等问题,提出自适应变分模态分解算法(Adaptive Variational Mode Decomposition, AVMD)与密度峰值算法优化的模糊C均值算法(Clustering by Fast Search and Find of Density Peaks Optimizing Fuzzy C-Means,DPC-FCM)结合的无监督诊断方法。方法 首先,将多尺度排列熵与峭度相结合的综合系数作为适应度函数,对VMD算法的惩罚因子alpha和模态个数K进行参数寻优,提取分解后本征模态函数(Intrinsic Mode Function,IMF)的平均样本熵与平均模糊熵,并输入至聚类算法中。其次,提出利用密度峰值聚类算法确定FCM的初始聚类中心,降低聚类结果的随机性。结果 将提出的无监督故障诊断模型应用到滚动轴承试验信号中,实现了准确的故障诊断。结论 AVMD在故障提取方面具有优越性,同时DPC算法可以有效提高FCM算法无监督聚类的准确性,二者结合可以有效实现旋转机械故障的智能分类。     

Role of information in collective action in dynamic disaster environments

This study explores the major issues facing collective response operations after destructive earthquakes. The small-n case study design employs qualitative and quantitative methods to investigate the decision-making process in a context of seismic risk to exemplify how public managers can utilise information and communication systems to ensure collaborative actions in managing an extreme event. Fifty-eight semi-structured interviews with 39 key decision-makers and researchers and content analyses of daily reports from Cumhuriyet comprise the main data sources. The study compares and contrasts the Turkish disaster management system following the Marmara and Duzce earthquakes of 1999. It addresses whether the use of information and communication technologies significantly affected its performance. The study's findings reveal that difficulties in accessing and exchanging timely and accurate disaster-relevant information inhibited coordination during the Marmara response while increased communication functions improved coordination and search-and-rescue activities during the Duzce response.     

IMPLEMENTATION OF AN OPTIMIZATION MODEL FOR OPERATION OF A METROPOLITAN RESERVOIR SYSTEM1

ABSTRACT: A deterministic dynamic programming optimization model with a refining sectioning search procedure is developed and implemented to find least cost withdrawal and release patterns for water supple from a multiple reservoir system serving a metropolitan area. Applications are made to teh four reservoir system operated by the city of Dallas, Texas. A realistic cost structure, including nonlinear power consumption, block rate unit power costs, and flow dependent power consumption for intracity water distribution, is utilized. Applications are made to find least cost operating patterns and, as well, by inclusion of a water loss penalty function, supply patterns which will reduce evaporation water losses for the Dallas system.     

EVALUATION OF METHODS FOR ESTIMATING STREAM WATER QUALITY PARAMETERS IN A TRANSIENT MODEL FROM STOCHASTIC DATA1

ABSTRACT: In this study the estimation of parameters in water quality models represented by linear first order partial differential equations is investigated. Two sets of simulated input-output data, one with input noise and the other with output measurement error, were used. The parameters were estimated by a gradient technique (Bard's method) and a pattern search technique. The results indicate that the output measurement error significantly affects the values of parameter estimates as compared to the noise added to the input. Bard's method consistently gave results with a smaller sum of square value.