优化模型在污泥处理厂选址中的应用

在我国大中城市,污水处理厂的不断兴建使污泥处理问题应运而生。采用混合整数优化模型可以解决污泥处理厂的科学选址问题,达到科学布点、合理运输、节省投资费用的目的。在传统厂群规划模型的基础上将目标规划、周密的约束条件等融于其中,并采用对于线形规划和非线性规划问题适用的LINGO软件进行求解。根据东莞市拟建的36个污水处理厂污泥产生预测情况,对污泥处理厂的设置进行了分析预测,详细对比了建一个、两个、三个污泥处理厂的运输费用、投资费用、运行费用等,最终确定兴建两个规模均为800t/d的处理厂,其位置分别位于东莞市厚街镇和常平镇,为厂址选择和规模提供了科学依据和保障。     

地表水水质模型概述

近些年来,我国水环境问题日益凸显,借助水质模型对水污染问题进行研究,并为相关管理和规划提供技术支持已经成为水环境研究的热点。本文阐述了地表水水质模型的概念、发展以及分类,介绍了几种当前比较成熟的地表水水质模型,并对地表水水质模型的未来发展做了展望。     

WASP水质模型在辽河干流污染减排模拟中的应用

运用WASP模型对辽河流域实施水质改善方案后水质的变化进行模拟,以辽河干流铁岭段水质指标COD为例,结合流域污染削减目标寻求合理的减排任务分配方案。结果袁明：根据不同季节灵活地分配减排任务,辽河干漉铁岭段年削减COD1．74—2．49万吨可使其水质状况得到明显改善,迭到减排耳标。     

应用生态动力学模型评价上海淀山湖富营养化控制方案

近年来,由于淀山湖入湖河流和环湖污水排放,淀山湖水质严重富营养化,夏季高温季节蓝藻水华时有发生。基于最近开展的比较系统的大规模水文、水质、生物同步监测和底质氮磷营养盐释放通量实验,进行入湖氮磷营养盐通量计算分析。通过建立淀山湖水动力一生态动力学耦合模型,利用同步实测和历史资料进行水动力模型和生态动力学模型的率定验证,模拟典型风场作用下的淀山湖三维流场特征;利用生态动力学模型系统研究淀山湖氮磷营养盐和藻类的时空变化和演替规律,初步掌握淀山湖的富营养化过程;综合评价了污染负荷削减、水力调度（水体停留时间）等措施对控制淀山湖富营养化的作用,明确磷是淀山湖藻类生长的关键营养盐限制因子。模型预测结果表明,磷负荷削减50％以上才能使淀山湖夏季蓝藻生物量开始下降;削减90％以上的营养盐负荷才能有效抑制蓝藻水华;水体停留时间的长短是藻类是否过度繁殖的重要条件,加大引水流量,减少淀山湖水体停留时间是有效控制蓝藻水华的重要途径;目前阶段,与控制营养盐负荷（50％）相比,增大引水流量可以更有效地降低蓝藻暴发时的生物量。     

大气环境质量现状评价模型存在的问题及改进——以沈阳大气指数模型为例

文章分析了几类大气环境质量现状评价模型各自存在的问题,针对这些问题,选择了较典型的沈阳大气指数模型,首先对原模型中参数进行修正,使其成为与当前执行的环境空气质量标准相对应的综合指数模型,其次,基于概率统计思想对模型进行改进,得到不同保证率下的大气环境质量现状评价模型,最后,运用SPSS软件进行实证分析,改进后模型得到的评价结果更能准确反映区域实际大气环境质量现状。     

上海南区污水输送干线世博期间排水安全保障

上海世界博览会将于2010年5月至10月召开,会展期跨越上海市夏季主汛期。届时如何保障世博园区的排水安全和水质安全,对接纳园区污水的已建干线排水系统是一个极大的考验。通过建立上海市南干线排水管网系统的数学水力集成模型,对世博园区污水接入后南干线的水力状态进行模拟,预测世博园区的排水风险,提出世博期间南干线的排水安全保障方案,为世博会期间的防洪保安奠定基础。     

污染减排影响经济发展的投入产出模型及实证分析

构建了环境经济投入产出模型,针对淘汰落后产能对经济发展的影响进行了实证研究,定量计算了2006～2007年问淘汰落后产能对于经济社会发展的贡献度和影响.研究表明,虽然淘汰落后产能对于传统的国民经济发展指标有一定负面影响,但对于优化经济增长方式确实起到了积极作用.一是优化了产业结构,第一、二、三产业结构由2005年的12.4%,48.6%,39.0%调整为2006年的12.5%,48.2%和39.3%,2007年调整为12.6%,47.8%和39.6%,第二产业所占比重逐步下降,第三产业所占比重逐步上升;在第二产业内部.造纸、食品、电力、炼焦、金属冶炼、非金属矿物制品业等重污染行业的增加值所占比重持续下降,产业结构逐步得到优化.二是提高了经济效率,从涉及到的造纸、食品、电力、炼焦、金属冶炼、非金属矿物制品业6个产业部门2006年和2007年的COD和SO_2的产污系数看,都比2005年有所降低.2006年和2007年,食品制造业的单位增加值COD排放量比2005年分别下降了6.6%和25.0%;金属冶炼及压延加工业的单位增加值SO_2排放量比2005年分别下降3.5%和6.9%.     

Development and application of a two-dimensional water quality model for the Daqinghe River Mouth of the Dianchi Lake

Water quality models are important tools to support the optimization of aquatic ecosystem rehabilitation programs and assess their efficiency. Basing on the flow conditions of the Daqinghe River Mouth of the Dianchi Lake, China, two-dimensional water quality model was developed in the research. The hydrodynamics module was numerically solved by the alternating direction iteration (ADI) method. The parameters of the water quality module were obtained through the in situ experiments and the lab analyses that were conducted from 2006 to 2007. The model was calibrated and verified by the observation data in 2007. Among the four modelled key variables that were water level, CODcr, NH3-N and PO4-P, the minimum value of the coefficient of determination (CoD) was 0.69, which mean the model performed reasonably well. The developed model was then applied to simulate the water quality changes at the downstream cross-section assuming that the designed restoration programs were implemented. According to the simulated results, the restoration programs could cut down the loads of CODcr and PO4-P about 15%, however, they would have very little effect on the NH3-N removal. Besides, the water quality at the outlet cross-section would be still in class V (3838-02), indicating more measures should be taken to further reduce the loads. The study demonstrated the capability of water quality models to support aquatic ecosystem restorations.     

Influence of rice straw burning on the levels of polycyclic aromatic hydrocarbons in agricultural county, Taiwan

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High-resolution modeling and evaluation of ozone air quality of Osaka using MM5-CMAQ system

High-resolution modeling approach is increasingly being considered as a necessary step for improving the monitoring and predictions of regional air quality. This is especially true for highly urbanized region with complex terrain and land-use. This study uses Community Multiscale Air Quality (CMAQ) model coupled with MM5 mesoscale model for a comprehensive analysis to assess the suitability of such high-resolution modeling system in predicting ozone air quality in the complex terrains of Osaka, Japan. The 1-km and 3-km grid domains were nested inside a 9-km domain and the domain with 1-km grid covered the Osaka region. High-resolution Grid Point Value-Mesoscale Model (GPV-MSM) data were used after suitable validation. The simulated ozone concentrations were validated and evaluated using statistical metrics using performance criteria set for ozone. Daily maxima of ozone were found better simulated by the 1-km grid domain than the coarser 9-km and 3-km domains, with the maximum improvement in the mean absolute gross error about 3 ppbv. In addition, 1-km grid results fared better than other grids at most of the observation stations that showed noticeable di erences in gross error as well as correlation. These results amply justify the use of the integrated high-resolution MM5-CMAQ modeling system in the highly urbanized region, such as the Osaka region, which has complex terrain and land-use.