基于层次分析法的未确知测度理论泥石流危险性评价

将未确知测度理论与层次分析方法相结合用于评价泥石流危险性。根据泥石流危险性的影响因素和等级划分标准,选取泥石流规模、泥石流发生频率、流域面积、主沟长度、最大相对高差、流域切割密度、主沟床弯曲系数、泥砂补给长度比、24小时最大降雨量、人口密度等10个指标作为泥石流危险评价因子,利用未确知测度理论建立泥石流危险性评价指标的未确知测度函数,通过层次分析方法确定各评价指标的权重,依据置信度识别准则对泥石流危险性进行评价,并结合实例进行了对比分析。研究结果表明,基于层次分析方法的未确知测度理论的评价方法评价过程合理、置信度高、结果可靠,为泥石流危险性评价提供了一种新的方法     

长白山火山泥石流分布影响因子权重分析

利用层次分析法对长白山天池火山泥石流分布影响因子的权重进行了分析。将对长白山天池火山泥石流分布影响作为评价目标,将地质条件、地形地貌以及植被覆盖情况作为第一层次的评价因子,地层年代、地层岩性、风化程度、堆积厚度、高程、相对高差、纵坡比、植被类型、覆盖程度作为第二层次的评价因子,由评价目标以及2个层次的评价因子构成了层次结构模型。通过层次结构模型建立了2个层次的4个判断矩阵,通过对判断矩阵的计算,最终得到了各因子对长白山火山泥石流分布影响的权重值。其中地形地貌中的相对高差及纵坡比对长白山火山泥石流分布的影响最大。     

贵州省经济弱县的确定及其特征分析

应用层次分析法,测算出贵州每个年度全部县域的经济社会发展综合实力排序值及其排序位次。由此得出排在前列的一部分县域,列为该年度经济强县,排在末尾的另一部分县域,列为经济弱县。贵州经济弱县一般特征是:人均GDP较低;农村贫困面较大;边际地理区位;属于民族自治的经济弱县较多;山地面积较广。当前分布格局为:东部经济弱县较多,西部较少。相对集中的经济弱县,形成4个片区。从每个片区的自然条件出发,论述维护生态环境与发展经济的有利和不利因素,揭示片区差异,提出必须解决的问题。     

基于全过程控制的铁路建设项目生态环境保护发展状况评估

铁路建设项目的生态环境影响在其全生命周期内各时期有不同的表现形式.在阐述不同时期应重点关注的生态环境保护问题的基础上,从全过程控制角度,建立了涵盖前期规划、建设期、运营期3个阶段的铁路建设项目生态环境保护发展状况评估指标体系,运用层次分析法对各指标进行权重评定.根据权重计算结果对铁路建设项目生态环境保护工作中重要时期及...     

恐惧诉求对职业驾驶员安全驾驶态度和行为意向的影响

研究以EPPM模型作为理论框架,探讨恐惧诉求对危险驾驶行为(超速和不系安全带)态度和行为意向的作用。54名职业驾驶员在观看交通安全恐惧诉求录像后,完成安全驾驶行为问卷。回归分析表明恐惧诉求的交通事故录像能够改变驾驶员对超速及不系安全带驾驶的态度和行为意向,但作用不完全一致。恐惧情绪唤起通过恐惧情感所引发的威胁评估过程中介对不超速行为意向的影响。最后,对研究的局限和未来的研究进行讨论。     

Multi-response optimization of Fenton process for applicability assessment in landfill leachate treatment

Fenton process, as a pretreatment method, was found to be effective in the primary treatment of mature/medium landfill leachate. However, the main problem of the process is the large amount of produced sludge that requires an accurate feasibility evaluation for operational applications. In this study, the response surface methodology was applied for the modeling and optimization of Fenton process in three target responses, (1) overall COD removal, (2) sludge to iron ratio (SIR) and (3) organics removal to sludge ratio (ORSR), where the latter two were new self-defined responses for prediction of sludge generation and applicability assessment of the process, respectively. The effective variables included the initial pH, [H₂O₂]/[Fe²⁺] ratio and Fe²⁺ dosage. According to the statistical analysis, all the proposed models were adequate (with adjusted R² of 0.9116–0.9512) and had considerable predictive capability (with prediction R² up to 0.9092 and appropriate adequate precision). It was found that all the variables had significant effects on the responses, specifically by their observed role in dominant oxidation mechanism. The optimum operational conditions obtained by overlay plot, were found to be initial pH of 5.7, [H₂O₂]/[Fe²⁺] ratio of 17.72 and [Fe²⁺] of 195 mM, which led to 69% COD removal, 2.4 (l sludge/consumed mole Fe²⁺) of SIR and 16.5 (gCOD removed/l produced sludge) for ORSR in verification test, in accordance with models-predicted values. Finally, it was observed that [H₂O₂]/[Fe²⁺] ratio and Fe²⁺ dosage had significant influence on COD removal, while Fe²⁺ dosage and [H₂O₂]/[Fe²⁺] ratio had remarkable effects on SIR and ORSR responses, respectively.     

安全评价在钢铁企业的应用研究

在钢铁企业有效应用安全评价,不但能够有效识别现场的危险因素,确定危险源,及时妥善地采取安全对策措施,还能够促进安全管理重心下移,实现逐级管理,更有利于消除现场人的不安全行为和物的不安全状态.     

污水处理厂投资全过程成本控制

本文综合论述了在水业市场化条件下，水务投资公司进行污水处理厂投资、建设和运营时，在投资决策前期阶段、设计阶段、建设阶段以及运营阶段等各水务价值链重要环节的成本控制方法，为水务投资公司在污水厂投资全过程的成本控制提供了参考。     

Adsorption of simazine on zeolite H-Y and sol–gel technique manufactured porous silica: A comparative study in model and natural waters

In this work, we studied the removal of simazine from both a model and well water by adsorption on two different adsorbents: zeolite H-Y and a porous silica made in the laboratory by using the sol–gel technique. The pH dependence of the adsorption process and the isotherms and pseudo-isotherms of adsorption were studied. Moreover, an iterative process of simazine removal from both the model and well water, which allowed us to bring the residual simazine concentration below the maximum concentration (0.05 mg L^?1) of agrochemicals in wastewater to be released in surface waters or in sink allowed by Italian laws, was proposed. The results obtained were very interesting and the conclusions drawn from them partly differed from what could reasonably be expected.     

KALMAN FILTER CALCULATION OF SAMPLING FREQUENCY WHEN DETERMINING ANNUAL MEAN SOLUTE CONCENTRATIONS

ABSTRACT: A linear filter (Kalman filter) technique was used with a Streamflow-concentration model the minimize surface water quality sampling frequencies when determining annual mean solute concentrations with a predetermined allowable error. The Kalman filter technique used the stream discharge interval as a replacement for the more commonly used time interval. Using filter computations, the measurement error variance was minimized within the sample size constraints. The Kalman filter application proposed here is applicable only under several conditions including: monitoring is solely to estimate annual mean concentration; discharge measurement errors are negligible; the Streamflow-concentration model is valid; and monthly samples reflect the total variance of the solute in question.