引入环境水平的公路建设项目评价方法  

Evaluation Method of Highway Construction Project with Environmental Level

作　　者：彭军龙[1] 邓嘉莉 PENG Junlong;DENG Jiali(School of Traffic&Transportation Engineering,Changsha University of Science&Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学交通运输工程学院,湖南长沙410114

出　　处：《土木工程与管理学报》2021年第2期68-76,共9页Journal of Civil Engineering and Management

基　　金：国家自然科学基金(51578080)。

摘　　要：“绿色”发展理念已成为工程建设的必然趋势和要求,将助推我国绿色可持续发展之路。基于此,本文通过构建环境指标评价体系,选取与公路项目关联的三大类九大主要污染物指标,引入排放因子法和环境成本费率定量评估污染物排放量。然后再计算环保水平指数EI,将环境水平引入传统工期–成本问题研究,构建工期–成本–环境水平均衡优化模型。接着提出多目标粒子群和声搜索混合算法(MOPSOHS)求解模型,并对三大关键参数HMCR,PAR,BW进行自适应改进。最后,结合贵州省贵黄高速公路项目工程实例模拟仿真得到的一系列Pareto解,选取解集覆盖率C-metric和超体积HV两个指标进行计算评估,比较算法MOPSOHS与MOPSO、MOHS搜索得到的最优方案,进一步论证多目标模型及评价方法是切实可行的。The concept of“green”has become an inevitable trend and requirement of engineering construction,which will promote the road of sustainable development of green in China.By constructing an environmental indicator evaluation system,the paper selects three major categories of nine major pollutant indicators associated with highway projects;and the paper also introduces the emission factor method to quantitatively assess the value of emissions.The paper builds a time-cost-environment level equilibrium optimization model by calculating the environmental protection level index EI and quantitatively evaluating the emissions of pollutants related to the project.In order to solve the model effectively,a multi-objective particle swarm harmony search hybrid algorithm(MOPSOHS)is proposed;and the three key parameters HMCR,PAR and BW are adaptively improved.A series of Pareto solutions are obtained by combining simulation with engineering examples.Finally,C-metric and HV indicators are selected for calculation and evaluation.The feasibility and applicability of this hybrid algorithm for multi-objective problems in engineering construction are verified by comparing the optimal solutions searched by MOPSO algorithm,MOHS algorithm and MOPSOHS algorithm.

关 键 词：工程项目 环境水平 多目标优化 MOPSOHS 

分 类 号：TP399[自动化与计算机技术—计算机应用技术] U415[自动化与计算机技术—计算机科学与技术]