Optimization of wastewater treatment alternative selection by hierarchy grey relational analysis

This paper describes an innovative systematic approach, namely hierarchy grey relational analysis for optimal selection of wastewater treatment alternatives, based on the application of analytic hierarchy process (AHP) and grey relational analysis (GRA). It can be applied for complicated multicriteria decision-making to obtain scientific and reasonable results. The effectiveness of this approach was verified through a real case study. Four wastewater treatment alternatives (A(2)/O, triple oxidation ditch, anaerobic single oxidation ditch and SBR) were evaluated and compared against multiple economic, technical and administrative performance criteria, including capital cost, operation and maintenance (O and M) cost, land area, removal of nitrogenous and phosphorous pollutants, sludge disposal effect, stability of plant operation, maturity of technology and professional skills required for O and M. The result illustrated that the anaerobic single oxidation ditch was the optimal scheme and would obtain the maximum general benefits for the wastewater treatment plant to be constructed.     

An inexact dynamic optimization model for municipal solid waste management in association with greenhouse gas emission control

Municipal solid waste (MSW) should be properly disposed in order to help protect environmental quality and human health, as well as to preserve natural resources. During MSW disposal processes, a large amount of greenhouse gas (GHG) is emitted, leading to a significant impact on climate change. In this study, an inexact dynamic optimization model (IDOM) is developed for MSW-management systems under uncertainty. It grounds upon conventional mixed-integer linear programming (MILP) approaches, and integrates GHG components into the modeling framework. Compared with the existing models, IDOM can not only deal with the complex tradeoff between system cost minimization and GHG-emission mitigation, but also provide optimal allocation strategies under various emission-control standards. A case study is then provided for demonstrating applicability of the developed model. The results indicate that desired waste-flow patterns with a minimized system cost and GHG-emission amount can be obtained. Of more importance, the IDOM solution is associated with over 5.5 million tonnes of TEC reduction, which is of significant economic implication for real implementations. Therefore, the proposed model could be regarded as a useful tool for realizing comprehensive MSW management with regard to mitigating climate-change impacts.     

A heuristic optimization approach for Air Quality Monitoring Network design with the simultaneous consideration of multiple pollutants

An interactive optimization methodology for allocating the number and configuration of an Air Quality Monitoring Network (AQMN) in a vast area to identify the impact of multiple pollutants is described. A mathematical model based on the multiple cell approach (MCA) was used to create monthly spatial distributions for the concentrations of the pollutants emitted from different emission sources. These spatial temporal patterns were subject to a heuristic optimization algorithm to identify the optimal configuration of a monitoring network. The objective of the optimization is to provide maximum information about multi-pollutants (i.e., CO, NO(x) and SO(2)) emitted from each source within a given area. The model was applied to a network of existing refinery stacks and the results indicate that three stations can provide a total coverage of more than 70%. In addition, the effect of the spatial correlation coefficient (R(C)) on total area coverage was analyzed. The modeling results show that as the cutoff correlation coefficient R(C) is increased from 0.75 to 0.95, the number of monitoring stations required for total coverage is increased. A high R(C) based network may not necessarily cover the entire region, but the covered region will be well represented. A low R(C) based network, on the other hand, would offer more coverage of the region, but the covered region may not be satisfactorily represented.     

森林防火的几个数学问题

本文把森林灭火看成是一个系统,称为灭火系统.文中用最优化方法讨论了这个系统.     

清洁生产与环境保护对策

介绍清洁生产的概念及其产生的背景。针对江汉石油管理局的现状，提出了实施清洁生产的几点设想，以期尽快将清洁生产付诸实施的同时带来经济效益和环境效益。     

城市新增大气污染源合理布局判据的研究

试图提出了一种以环境损失作为评价污染源布局判据的观点，给出了大气环境损失系数的计算方法及污染源合理布局优化计算模型，并结合实例作了进一步的分析。     

Optimized acid rain abatement strategies using ecological goals

This article addresses the use of critical loads in optimized emission abatement strategies. Critical loads represent the maximum tolerable deposition possible without adverse impacts, a limit that is highly spatially variable. As deposition targets, critical loads cannot be satisfied at all receptors in Europe. Consequently, there is a need for alternative criteria that still relate to ecological indicators, yet that are feasible, consistent, and equitable. Two criteria are suggested: the relative critical load coverage and the relative deposition reduction. Deposition goals based on these criteria will guarantee that a specified fraction of ecosystems will attain target loads and thus will be protected from adverse environmental impacts. In areas that cannot achieve target loads with the best available control measures, deposition can be reduced to a specified fraction of the unabated level. Examples are presented that demonstrate their derivation and application of the two criteria. The criteria have been implemented in the European-scale Regional Acidification Information and Simulation (RAINS) model. Results obtained indicate that optimized emission strategies based on critical loads may be similar to emission strategies based on deposition reductions at certain levels of the two criteria. This suggests that it may not be necessary to utilize critical loads to formulate deposition targets. A second example shows the effect of excluding countries from European cost minimization. A country's participation can save costs with moderate deposition targets; however, significant costs can be imposed with low (stringent) deposition targets. These preliminary results have significant implications for multilateral negotiations.     

Potential application of a semi-quantitative method for mercury determination in soils, sediments and gold mining residues

An alternative, low cost method for analyzing mercury in soil, sediment and gold mining residues was developed, optimized and applied to 30 real samples. It is semiquantitative, performed using an acid extraction pretreatment step, followed by mercury reduction and collection in a detecting paper containing cuprous iodide. A complex is formed with characteristic color whose intensity is proportional to mercury concentration in the original sample. The results are reported as range of concentration and the minimum detectable is 100 ng/g. Method quality assurance was performed by comparing results obtained using the alternative method and the Cold Vapor Atomic Absorption Spectrometry techniques. The average results from duplicate analysis by CVAAS were 100% coincident with alternative method results. The method is applicable for screening tests and can be used in regions where a preliminary diagnosis is necessary, at programs of environmental surveillance or by scientists interested in investigating mercury geochemistry.     

爆破震动安全距离的优化计算

笔者针对爆破震动安全距离的典型计算公式,从参数入手,分析误差产生的原因,认为爆破震动安全距离计算产生误差主要原因有三:①K ,α的类比取值不客观;②现场爆破改变了地质条件;③试验法以点代面。笔者从改善K ,α取值的角度,提出一种较为合理的计算爆破震动安全距离的优化方案,即进行爆破现场监测,将监测数据及时参与K ,α值的计算。这样既避免K ,α的类比取值不客观,又反映出爆破对现场地质条件的改变;而且大量监测数据参与计算避免片面性。据此建立了爆破震动安全距离计算优化模型,并利用VisualBasic语言编写了程序,避免了大量的人工计算。将此模型应用于工程实际,得到了较好的效果     

高层建筑电梯楼梯协同人员疏散的优化模式研究

高层建筑利用电梯楼梯协同疏散有利于提高人员疏散效率。通过数学建模研究了多种因素影响下的协同人员疏散优化模式,结果表明:当电梯仅在某直达层停靠,电梯停靠层及以上楼层采用电梯疏散而以下楼层采用楼梯疏散时,存在最优的电梯停靠层;在每层疏散人数均匀分布的条件下,该最优层数不受疏散人数影响,随建筑高度增加呈线性增长,随电梯最大承载量增加呈阶梯式下降,随电梯平均运行速度增加呈阶梯式下降。