解决大规模环境问题的计划和项目方法

Y. Gelrud, E. Kibalov, V. Malov
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本文讨论了联邦计划“安加拉-叶尼塞地区生态(AYR)”。对叶尼塞自然复合体恢复和保护方案评估的不同方法的系统综合进行了描述,作为AEP生态同化潜力的骨架基础。论证了在评价大型环境项目时考虑不确定性因素的必要性。研究目的:表明大型项目的影响影响经济发展的非常情景,在这方面,使用替代(战略)的原始整合到同一情景是不正确的,这表明有必要评估“项目-情景”的关系。材料和方法。本文提出对大型项目进行宏观、中观和微观三个层次的评价。这种分类允许您逐渐减少不确定性。在前一级评估中获得的信息是下一级评估的来源。结果。在第一阶段,使用IEIE开发的计算机产品对专家的判断进行处理。第二步,对由11个联邦项目组成的“俄罗斯生态”国家项目进行了分析,建立了考虑不确定性因素的项目最优成本管理多准则问题的数学模型。第三步的结果是创建了一个用于评估大型环境项目的混合模型,该模型是基于专家信息的逻辑启发式模型和经济数学模型。在作者的参与下创建的类似模型用于大型铁路项目的评估。这是一组半动态优化模型,在计划经济和市场经济中,这些模型在解决中观问题方面都得到了不同程度的检验。此外,在这个家庭的一个版本的基础上,开发了一个医疗-生态-经济模型,并在其帮助下,对俄罗斯亚洲部分的主题发展进行了情景分析。结论。本文简要描述了在大型项目从概念到实现的各个阶段中使用适当的数学和软件工具的功能和需求。
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Program and Project Approaches to Solving Large-Scale Environmental Problems
The article discusses the federal program “Ecology of the Angara-Yenisei region (AYR)”. The description of the systemic synthesis of different approaches to the assessment of the program of restoration and preservation of the natural complex of the Yenisei, as the skeletal basis of the ecological-assimilation potential of AEP is given. The necessity of taking into account the uncertainty factor when evaluating large-scale environmental projects is substantiated. Purpose of the study. Show that the effects of large-scale projects affect the very scenario of economic development, in this regard, it is incorrect to use the primitive integration of an alternative (strategy) into the same scenario, it is shown that it is necessary to evaluate the “project – scenario” relationship. Materials and methods. The authors propose to use three levels of assessment for evaluating large-scale projects: macro level, meso level and micro level. This classification allows you to gradually reduce the level of uncertainty. The information obtained at the previous level of assessment is the source for the lower level. Results. At the first stage, the judgments of the experts were processed using computer products developed at the IEIE. At the second step, the National Project “Ecology of Russia” was analyzed, consisting of 11 federal projects, and a mathematical model was developed for the multicriteria problem of optimal cost management of the project, taking into account the uncertainty factor. The result of the third step was the creation of a hybrid model for assessing large-scale environmental projects from a logical-heuristic model based on expert information and an economic-mathematical model. Analogs of such models, created with the participation of the authors, work in the evaluation of large-scale railway projects. This refers to a family of semi-dynamic optimization models, which have been tested to varying degrees in solving meso-level problems, both in planned and market economies. Moreover, on the basis of one of the versions of this family, a medical-ecological-economic model was developed, and with its help, a scenario analysis of the development of the subjects of the Asian part of Russia was carried out. Conclusion. The article provides a brief description of the functionality and the need to use the appropriate mathematical and software tools as the stages of large-scale projects progress from concept to implementation.
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