Ranking environmental projects model based on multicriteria decision-making and the weight sensitivity analysis

With the fast growth of Chinese economic, more and more capital will be invested in environmental projects. How to select the environmental investment projects （alternatives） for obtaining the best environmental quality and economic benefits is an important problem for the decision makers. The purpose of this paper is to develop a decision-making model to rank a finite number of alternatives with several and sometimes conflicting criteria. A model for ranking the projects of municipal sewage treatment plants is proposed by using exports＇ information and the data of the real projects. And, the ranking result is given based on the PROMETHEE method. Furthermore, by means of the concept of the weight stability intervals （WSI）, the sensitivity of the ranking results to the size of criteria values and the change of weights value of criteria are discussed. The result shows that some criteria, such as “proportion of benefit to project cost”, will influence the ranking result of alternatives very strong while others not. The influence are not only from the value of criterion but also from the changing the weight of criterion. So, some criteria such as “proportion of benefit to project cost” are key critera for ranking the projects. Decision makers must be cautious to them.

Planning Sports Facilities Based on a Multicriteria Model Built in GIS Environment

The objective of this work is to evaluate the coverage of the sports facilities at Oeiras Municipality,near Lisbon,in Portugal,identifying the well-served areas and those with deficit coverage,according to the national norms for sports facilities programming and characterization,based on a self methodology,in a geographic information system(GIS)environment.For the deficit covered areas,a multicriteria analysis was developed,based on the established national criteria,which allow the identification and prioritization of interventioned areas for sports facilities.The results obtained by the application of this tool enable more informed and more detailed knowledge of the Oeiras Municipality sports supply,providing essential information for decision making in the planning of sports facilities.

Modeling Environmental Susceptibility of Municipal Solid Waste Disposal Sites: A Case Study in São Paulo State, Brazil

The large excess of solid waste generated in cities is a result of population growth and economic development. Properly managing this municipal solid waste (MSW) is a challenge, mainly in underdeveloped and developing countries where financial concerns are an added problem. From the environmental point of view, a major issue is properly disposing MSW taking into consideration a wide range of factors, and working with different spatial data. In this study, we used geographic information system (GIS) to perform multi-criteria decision analysis (MCDA) conducted by analytical hierarchy process (AHP). The development of the environmental impact susceptibility model (EISM) for municipal solid waste disposal sites (MSWDS) applied to the state of Sao Paulo, Brazil considered factors such as geology, pedology, geomorphology, water resources, and climate represented by fifteen associated sub-factors. The results indicated that more than 82% of Sao Paulo’s territory is situated in areas with very low, low, and medium environmental impact susceptibility categories. However, in the remaining 18% of the state land area, 85 landfills are located in areas with high and very high environmental impact susceptibility categories. These results are alarming because these 85 landfills receive approximately 17,886 tons of MSW on a daily basis, which corresponds to 46% of all municipal solid waste disposed in Sao Paulo state. Therefore, decision makers, urban planners and policymakers could use the findings of the EISM towards mitigating the environmental impacts caused by MSWDS.

深部水热型地热潜力区的GIS预测模型——以土耳其西安纳托利亚地区为例

开发地热资源有着很大的不确定性和很高的经济风险,需要建立可靠的数学预测模型以确定潜在地热区。通过对地震震中、断层、布格重力异常、磁异常和红外遥感5个与地热密切相关的因素进行整合,建立了地热潜力区的数学预测模型;并以土耳其西安纳托利亚地区为例,对模型的优劣性进行分析评价。运用指数叠加模型和证据权重模型分别建立地热潜力区图,预测成功指数表明证据权重模型的预测结果更为准确。其中,中高潜力区总面积为26 529 km^2,占总面积的31.14%,包含39个地热点,占总地热点的50.65%。预测结果显示潜在地热区位于Aydin,Denizli,Manisa和Balikesir,其中前2个地区的地热已经被开发利用。本研究可以在地热勘探阶段确定潜在地热区,降低经济风险。

基于多准则决策分析模型的科研人员绩效评价研究

本文针对科研人员绩效评价问题,引入一种新的绩效评价模型——多准则决策分析模型,定性评价与定量评价相结合对科研人员绩效进行综合评价。利用该模型可以计算出科研人员绩效的综合评价值,从而得到科研人员绩效的评级类别。最后本文利用新模型对科研人员的绩效进行算例分析,得到了较好的效果,这说明应用该模型对科研人员进行科研绩效评价可行有效。

Decision support for the development,simulation and optimization of dynamic process models

Simulation is besides experimentation the major method for designing,analyzing and optimizing chemical processes.The ability of simulations to reflect real process behavior strongly depends on model quality.Validation and adaption of process models are usually based on available plant data.Using such a model in various simulation and optimization studies can support the process designer in his task.Beneath steady state models there is also a growing demand for dynamic models either to adapt faster to changing conditions or to reflect batch operation.In this contribution challenges of extending an existing decision support framework for steady state models to dynamic models will be discussed and the resulting opportunities will be demonstrated for distillation and reactor examples.

Multicriteria approach for evaluating biowaste-valorization cases

The selection of waste-valorization projects is a complex decision process that involves many factors and variables to guarantee an appropriate definition of the best waste-management strategy to be applied for a specific waste typology.Different technological approaches can be identified based on the diverse waste types,such as fish byproducts,spent coffee grounds,used cooking oils,and sewage sludge.To identify the most suitable and sustainable method for processing each residue type,one must consider multiple criteria in the decision-making process(i.e.,economic,technological,environmental,social,and political)to define a specific wastemanagement strategy.In this study,the analytical-hierarchy-process model is applied to evaluate wastetreatment projects based on the criteria above.This methodological approach involves several steps.First,existing state-of-the-art projects are critically reviewed to identify more advanced solutions for waste management.Second,biowaste projects are characterized by the application of multiple criteria and subcriteria.Finally,prioritized solutions are generated to elucidate the ranking of biowaste based on a hierarchical structure.

基于EVIDEM框架的中成药临床综合评价指标体系构建及解读

目的:构建基于证据与价值对决策的影响(EVIDEM)框架的中成药临床综合评价指标体系,推动中成药临床综合评价的科学、系统、规范实施。方法:通过文献调研、半结构化访谈、德尔菲法确定中成药临床综合评价指标体系,采用层次分析法明确各指标权重。结果:两轮专家咨询回收率均为100.0%,专家权威程度分别为0.90、0.905;第一轮咨询二、三级指标的肯德尔协调系数(W)分别为0.320、0.283(P<0.001);第二轮咨询二、三级指标的W分别为0.411、0.351(P<0.001)。最终构建的中成药临床综合评价指标体系包括6个一级指标、13个二级指标、28个三级指标。一级指标中,有效性、安全性、经济性、创新性、适宜性、可及性的权重分别为37.34%、32.68%、11.85%、5.87%、5.79%、6.47%。结论:该研究构建了一套普适性的中成药临床综合评价指标体系,并对指标进行了详细的介绍和解读,可为开展中成药临床综合评价提供借鉴和参考,但有待结合专科疾病中成药临床应用特点进行细化和改良。