人员疏散拥堵问题的博弈分析

从经济学的角度,应用博弈论中经典的"公共地悲剧"理论,分析疏散出口、安全通道等没有排他性所有权的稀缺性资源供给与需求之间的矛盾,提出了人员疏散过程中的博弈数学模型,揭示在理性的疏散人员追求自身收益最大化和没有有效约束与管制的前提条件下,疏散出口等公共资源会被过度使用的现象,即人员疏散过程中的"公共地悲剧"——人员拥堵,并在所提出的博弈模型基础上,从设计与管理的角度,给出一些解决拥堵问题的建议和对策。     

试论高职院校学生非正式群体及其教育对策

本文详细分析了高职院校学生中非正式群体产生的心理原因、类型、特征和功能,提出了切实可行的教育对策.     

结合生态需水的黄河水资源水质水量联合评价

在分析河水满足人类用水和河道生态功能需水双重功能的前提下,提出了河水生态功能强度的概念,以及结合生态需水的流域水资源数量与质量联合评价的方法.根据黄河流域1997-1999年间主要水文站点逐月的水质监测数据、水文数据及各取水口逐月的取水量数据,结合生态需水对黄河流域的水资源进行了水质水量综合评价.结果表明,河水生态功能强度的时空分布不均,这与水量和水质的时空分布相关.在1997、1998和1999年,黄河总可利用水资源量分别为371.17×108、425.50×108和500.64×10 m3,其中具备河道生态功能的水资源量分别为129.51×108、151.51×108和205.88×108m3,远远小于维持河道生态系统健康所需的水资源量230.60×108m3,导致了黄河断流和其它生态环境问题的出现.     

基于三角模糊技术的河流水环境容量研究

基于河流水环境系统的随机性、模糊性特征,以及资料信息的不足和不精确性,将水环境系统参数定义为三角模糊数。在此基础上,通过将常规的确定性模型参量模糊化,建立了河流水环境容量计算模糊模型。根据该模型,可以计算得到三角模糊数形式的河流水环境容量;再由给定的可信度水平要求,可以进一步将水环境容量由三角模糊数转化为区间值。实例研究表明,相对于常规的确定性方法,所得结果更为科学、合理,而且计算简单、操作方便,具有实用价值。     

单因子超载的综合环境承载力计算方法研究

文章分析了当前普遍使用的矢量模法计算综合环境承载力的不足,建立了单因子超载的环境承载符号函数法模型,提出了以环境占用率为表征的环境承载占用率法;验证结果表明新模型和方法较矢量模法更为合理。     

坡面林地土壤水分特征函数空间变异性初探

土壤水分特征函数空间异质性是定量研究土壤非饱和带水分运动以及溶质运移的先决条件. 以坡面机械布点采样、压力膜仪测定土壤水分特征曲线,并以Van-Genuchten模型拟合曲线后,用传统的统计方法与地统计方法,分析了密云水库流域周边人工油松林坡面土壤水分特征函数空间异质性. 结果表明:①不同土壤层各级压力下土壤含水量变异系数(C_v)呈中等变异性,C_v为10%～25%,土壤有效饱和度越低,变异性C_v越大,计算合理取样数目越大. ②模型参数θ_s为中等变异,C_v为17.77%～18.12%,服从正态分布;参数α为强变异性,C_v为70.65%～120.91%;参数n为弱变异性,C_v为5.29%～7.09%. ③各土壤层参数θ_s和α均具有空间变异结构,除20～40 cm层参数α符合指数模型外,其余层参数均符合球状模型,参数θ_s和α变程(A)分别约为66～69及21～69 m;参数n仅在20～40 cm土壤层显示空间变异结构,符合球状模型,变程(A)约为18 m;整体上该林地土壤0～20和20～40 cm层参数多以结构性变异为主,40～60 cm层参数的块金效应渐显增大. 最后采用Kriging插值方法分别对各参数进行了预测.      

Sensitivity of species-distribution models to error,bias, and model design: An application to resource selection functions for woodland caribou

Models that predict distribution are now widely used to understand the patterns and processes of plant and animal occurrence as well as to guide conservation and management of rare or threatened species. Application of these methods has led to corresponding studies evaluating the sensitivity of model performance to requisite data and other factors that may lead to imprecise or false inferences. We expand upon these works by providing a relative measure of the sensitivity of model parameters and prediction to common sources of error, bias, and variability. We used a one-at-a-time sample design and GPS location data for woodland caribou (Rangifer tarandus caribou) to assess one common species-distribution model: a resource selection function. Our measures of sensitivity included change in coefficient values, prediction success, and the area of mapped habitats following the systematic introduction of geographic error and bias in occurrence data, thematic misclassification of resource maps, and variation in model design. Results suggested that error, bias and model variation have a large impact on the direct interpretation of coefficients. Prediction success and definition of important habitats were less responsive to the perturbations we introduced to the baseline model. Model coefficients, prediction success, and area of ranked habitats were most sensitive to positional error in species locations followed by sampling bias, misclassification of resources, and variation in model design. We recommend that researchers report, and practitioners consider, levels of error and bias introduced to predictive species-distribution models. Formal sensitivity and uncertainty analyses are the most effective means for evaluating and focusing improvements on input data and considering the range of values possible from imperfect models.     

OPTIMAL LONG-TERM SCHEDULING OF STORMWATER DRAINAGE REHABILITATION1

ABSTRACT: A mathematical model is developed to optimally schedule long-term stormwater infrastructure rehabilitation activities. The model is capable of considering multiple rehabilitation projects and is driven by overall cost eensiderations. Rehabilitation activities are scheduled based on perceived reliabilities and future deterioration expected within the specified planning horizon. Future growth within the stormwater drainage basin is incorporated using chance constraints that limit the likelihood that a stormwater discharge exceeds system conveyance capacity. Model structure and development are discussed, and a hypothetical example using a drainage network is presented.