绿色高铁建设生态环保目标规划方法研究  被引量:4

Research on the Green High- speed Railway Construction Environmental Protection Goal Programming Method

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作  者:段晓晨[1] 倪艳霞[1] 李健强 

机构地区:[1]石家庄铁道大学,石家庄050043 [2]中建三局集团有限公司工程总承包公司,武汉430064

出  处:《铁道工程学报》2015年第5期97-101,110,共6页Journal of Railway Engineering Society

基  金:教育部人文社会科学研究规划基金项目(11YJAZH121);河北省高层次人才资助项目(2013429102);河北省软科学研究基地项目:工程建设管理研究(12457206D-14)

摘  要:研究目的:高速铁路以其运行速度高、运输能力大、安全性能好、舒适程度高、能源消耗低的优势,被誉为绿色工程,越来越受到各国政府青睐。但高速铁路建设对生态环境的影响不容忽视,高速铁路线带状结构对生态环境的深度阻断和切割是最为严重的一种人为干扰方式。针对现行高铁生态环保指标体系存在的问题,有针对性地构建以优势度变化值、适时绿化率、水土流失量、动植物保护度为核心的高铁建设生态环保目标规划指标体系,并采用自适应神经模糊推理系统(ANFIS)对高铁建设生态环保指标进行目标规划。以某高铁项目为例,对该铁路的生态环保目标规划进行实证分析研究,并将ANFIS预测结果与BP神经网络预测结果进行对比分析。研究结论:(1)在不具有大量训练样本的情况下,将神经网络的学习机制引入模糊系统,采用ANFIS方法对高铁建设生态环保进行目标规划,构建人类感觉和认知成分自适应系统,该方法具有良好的适用性和可操作性;(2)与BP神经网络方法相比,ANFIS方法预测精度较高,具有很好的泛化能力;(3)构建的高铁建设生态环保目标规划指标体系,采用ANFIS法可合理地对生态环保指标进行规划,研究成果为可持续发展型绿色高铁建设提供决策依据和支持。Research purposes: The high - speed railway with the advantage of high speed, large transport capacity, safety performance, high comfortable degree, low energy consumption is known as the green engineering, which is favored by the governments at home and abroad. But the construction of high - speed railway is a double - edged sword The serious destruction of high -speed railway on ecological environment should not be ignored. The band structure of the high - speed railway line on the ecological environment of blocking and cutting is the most serious form of anthropogenic disturbances. According to the problems existing in the current high -speed railway environmental protection index system, this paper builds the high - speed railway construction index system of ecological environmental protection goal programming which includes dominance value changes, timely forestations rate, soil loss, degree of animal and plant protection planning and uses adaptive neural fuzzy inference system (ANFIS) to plan the high -speed railway construction of ecological example for the empirical analysis is more accurate and practical. environmental protection goal. Taking , the paper does a comparison between a actual high -speed railway project as an the ANFIS and the BP neural network, which Research conclusions: ( 1 ) We can use ANFIS method for goal programming high - speed rail construction of ecological environmental protection. (2) Compared with the BP neural network methods, ANFIS method forecasting accuracy is higher, and has the very good generalization ability. (3) ANFIS method can be reasonably planed for ecological environmental protection index, provide the decision - making basis for the sustainable green high - speed rail construction and support.

关 键 词:绿色高铁建设 环保目标规划 ANFIS 神经网络 

分 类 号:X321[环境科学与工程—环境工程]

 

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