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基于外部性理论的LNG储运中心选址模型与算法研究
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摘要
液化天然气(Liquefied Natural Gas,简称LNG)作为一种清洁、高效的绿色能源,国际市场应用已久,LNG贸易当前已成为全球能源市场的新热点。进入21世纪以来,我国国民经济持续快速发展,天然气需求逐年大幅增加,2015年国内天然气消费量有望达到2600亿立方米,在一次性能源消费中的比例达到8%左右。在我国,作为对管道天然气的有益补充,液化天然气产业的发展在转变国家能源结构、解决能源紧张问题、促进经济持续健康发展、实现节能减排和保护环境方面发挥着重要作用,是发展绿色低碳经济、实现科学发展的现实选择。
     我国将迎来LNG储运中心建设高峰,但随之而来的储运中心潜在的安全风险和社会风险等问题也引起企业和社会的高度重视。一方面,LNG储运中心要防止由本身的危害性、储存工艺以及管道设备设施、人力和安全管理危险和环境危险等风险因素带来的潜在的泄漏、火灾和爆炸等事故危险,需对LNG选址进行定量风险分析,测算其安全风险成本,根据风险大小确定选址的合理性;另一方面,作为经济主体,在LNG储运中心选址建设规划中,企业要承担起由其生产经营带来的环境污染预防和生态治理恢复责任,将环境与资源费用计算到产品成本中去,实现环境成本外部不经济性的内部化。
     鉴于此,笔者尝试着从外部性理论角度出发,将外部性成本纳入LNG储运中心选址模型,将定量风险评估引入LNG储运中心选址合理性评价,对LNG储运中心综合选址问题展开深入研究。本论文主要做了以下5个方面的研究工作:
     (1)详细介绍了有关LNG储运中心选址的研究现状,重点介绍了LNG储运中心选址相关理论模型和评价方法,为后续章节内容的进一步研究奠下理论基础。运用协整理论、误差修正模型等动态计量方法揭示了LNG储运中心建设投资对经济增长的作用规律。针对目前国内对LNG未来需求预测多是由一些专业人士根据经验做一些主观判断分析,缺乏严格的理论和推导模型支撑的不足,笔者将灰色动态预测的思想引入LNG需求预测,构建灰色预测GM(1,1)模型进行分析,以期对我国LNG未来需求走势和波动有一个科学的把握。
     (2)提出了LNG储运中心选址的影响因素包括投资运营成本和外部性成本,其中外部性成本包括安全风险成本与环境成本;识别了LNG储运中心的4个风险因素并进行了基于熵权灰关联理论的重要度分析;界定了LNG储运中心选址绿色影响度的概念,建立了LNG储运中心选址综合影响度评价指标体系,并将粗糙集理论引入评价体系,构建了LNG储运中心选址综合影响度评价模型,以期通过综合影响度来评价LNG储运中心选址的环境效益。通过模型计算得出:投资运营成本、安全风险成本和环境成本在LNG储运中心选址决策中对应的权重分别为0.6154、0.1620和0.2226,按指标权重加权,即可得到每个决策方案的综合影响度。
     (3)详尽测算了LNG储运中心选址的外部性成本,提出将LNG储运中心安全风险成本的测算内部化为对LNG泄露扩散危害、火灾效应危害和爆炸效应危害三大事故危害后果计量,建立了基于内部化的LNG泄露扩散危害后果计量模型、LNG火灾效应危害后果计量模型和LNG爆炸效应危害后果计量模型,对LNG储运中心选址的安全风险成本测算进行了定量分析;分析了环境成本内部化的实现途径、计量步骤和计量方法,建立了基于内部化的LNG储运中心环境成本计量模型,对LNG储运中心选址的环境成本测算进行了定量分析。
     (4)针对目前关于选址问题的理论或实践没有从社会可持续发展的角度考虑社会外部性成本的研究不足,笔者将外部性理论思想引入LNG储运中心选址问题中,提出了安全风险成本和环境成本量化测算的处理方法,兼顾考虑投资运营成本等变动因素,构建了基于外部性理论的LNG储运中心综合选址模型,并将DPSO算法运用于选址模型的求解。通过实证分析得出:在LNG储运中心选址中考虑外部性成本,并进行基于风险指数RI的定量风险评估,在一定程度上能够有效降低LNG储运中心选址活动的社会外部性和潜在危害性,提高社会福利。
     (5)在本论文的研究基础上,笔者对研究中的不足和未来研究方向做了总结与展望。
     本论文研究以期构建一个在投资运营成本和外部性成本达到一定平衡的基础上总成本最小化的LNG储运中心综合选址优化模型,实现LNG储运中心安全风险成本和环境成本最小化,为完善我国LNG产业链、推动LNG绿色发展,合理确定其他重大工程选址和周边布局调整、科学规划土地利用,提供了一种解决思路。
Liquefied Natural Gas, or LNG, as a kind of clean and efficient green energy, has a long-time history in the international, and LNG trade is becoming a new hot spot of global energy markets currently. Since the21th century, with the sustainable and rapid development of national economy, the demand of LNG has increased dramatically, covered around8%proportion in primary energy consumption, and the domestic consumption is expected to reach260billion cubic meters in2015. In China, as a great complement for pipeline gas, LNG makes significance in transformating national energy structure, solving energy shortage and promoting sustained and healthy economic development, energy conservation and emission reduction, and plays an important role to protect the environment. LNG industry is a realistic and feasible option for the development of low-carbon economy and contribution to scientific development.
     China will usher in the peak of the LNG storage and transportation center construction, but the attendant security risks and social risks have also caused great attention of enterprises and society. On the one hand, LNG storage and transportation center must prevent potential risk caused by itself, for example, leakage, fire and explosion accidents, storage technology&pipeline facilities, manpower&security management, or environmental risk. Through quantitative risk analysis method, this paper estimates the security risk cost to make reasonable decision of LNG location. On the other hand, as the economic subject, enterprises have to undertake the responsibility of environmental pollution prevention and ecological restoration made by its production and operation in location and construction plan of the LNG storage and transportation center. In this paper, in order to achieve environmental internalization of external diseconomy, the author calculates environment&resources cost into product cost.
     From the perspective of externality theory, the author makes in-depth study on LNG storage and transportation center comprehensive location through taking externality cost into the location model of LNG storage and transportation center introducing quantitative risk assessment into the evaluation of LNG storage and transportation center location rationality. In the whole, this paper has mainly made the following5researches:
     (1) This paper introduces the research status of LNG storage and transportation center optional location in detail, and focus on the related theoretical models and evaluation methods of LNG storage and transportation center location, laying a theoretical foundation for further study in the following chapters. Using the dynamic measurement method, such as cointegration theory, error correction model, and so on, reveals the effect of the LNG storage and transportation center construction investment on economic growth. Aiming to problem of solving shortage of sufficient strict theory and model to support, for the current domestic LNG future demand forecast is made mostly by some professionals who do some subjective judgment analysis based on experience, this paper introduces the grey dynamic prediction method into LNG demand forecasting, building grey prediction GM (1,1) model to carry on the analysis, in order to make a scientific grasp for LNG future demand trend and fluctuation.
     (2) This paper puts forward the influencing factors on location of LNG storage and transportation center including investment operation cost and externality cost, and external cost includes security risk cost and environmental cost. The author establishes importance analysis for4risk factors of LNG storage and transportation center based on entropy and grey association theory. What's more, the author defines the concept of green degree of LNG storage and transportation center site, establishes its green degree evaluation index system, and builds its green degree evaluation model by introducing rough set theory into evaluation system, which can evaluate the environment profit of LNG storage and transportation center location. The conclusions calculated through the model are the followings:investment&operating cost, security risk cost and environmental cost in the corresponding weights of LNG storage and transportation center location are0.6154,0.1620and0.2226respectively. Accordingly, weighting the index weight can get the green degree of each decision scheme.
     (3) This paper detailed estimates the externality cost of LNG storage and transportation center location. On the one hand, the author puts forward the idea of estimating consequence caused by LNG leakage diffusion, fire and explosion when make security risk cost measurement for LNG storage and transportation center, and establishes hazard consequence econometric model of LNG leakage diffusion, fire and explosion based on the internalization, in order to make quantitative analysis on security risk measurement of LNG storage and transportation center location. On the other hand, the author defines the concept of LNG storage and transportation center environmental cost and scope, analyzes the implementation way, measurement procedure and method of the internalization of environmental cost, and establishes econometric model to measure environmental cost of LNG storage and transportation center based on internalization, which helps to make quantitative analysis on environmental cost measurement of LNG storage and transportation center.
     (4) Aiming to the lack of theory or practice on the location, which from perspective of social sustainable development to consider its externalities, this paper introduces the basic idea of externalities into the LNG storage and transportation center location. From the perspective of externality theory, this paper proposes to handle security risks and environmental cost by approximate quantitative processing. With consideration of factors above and investment&operating cost, this paper builds a comprehensive location model for LNG storage and transportation center based on externality theory, then applys DPSO algorithm into solving the model. Through empirical analysis, the author makes the following conclusions:when taking externality cost into account in LNG storage and transportation center location, and making quantitative risk assessment based on risk index RI, in a certain extent, we can effectively reduce social externalities and potential hazards of LNG storage and transportation center location, and improve social welfare.
     (5) This paper also makes additional conclusions and comes out some outlooks in respect to shortage and future direction based on the above research.
     This paper aims at build a comprehensive optimization model of LNG storage and transportation center, which can minimizing the total cost on the basis of a certain balance between investment&operating cost and externality cost, to achieve the minimization between security risks cost and environmental cost; provide a thought for improving and promoting China's LNG storage and transportation center's green development, and determining reasonably the location, layout adjustment and scientific planning of land usage for other major project.
引文
[1]BP. BP Statistical Review of World Energy 2010[R]. Pauffley, London:Beacon Press,2010
    [2]李伟,孙慧,李广.2009年中国天然气行业发展动向及2010年展望[J].国际石油经济,2010(6):37-42
    [3]孙慧,李伟,杨义,庄涛.2010年中国天然气行业发展动向及“十二五”展望[J].国际石油经济,2011(6):56-61
    [4]浅析我国天然气产业发展现状及未来发展趋势[EB/OL].中国液化天然气网,http://www.cnlng.com/bencandy.php?fid=27&aid=15263&page=2,2010-07-29
    [5]国家油气“十二五”·规划前期研究项目组.国家油气“十二五”规划前期研究报告[R].北京:[出版者不详],2010
    [6]徐正斌,李伟,颜映霄,徐孝轩.中小型液化天然气市场发展趋势研究[J].天然气技术,2010,4(1):72-75
    [7]孔祥龙.LNG汽车发展现状与前景研究[J].价值工程,2011,30(23):24-25
    [8]中国LNG卡车成本优势与绿色效益[J].物流技术与应用(货运车辆),2012(7):40-41
    [9]富瑞特装工程技术中心.中国LNG燃料汽车及船舶的发展趋势[R].上海:上海交通大学—张家港富瑞特装工程技术中心,2011
    [10]刘燕妮,郭开华.液化天然气冷能发电效益分析[J].低温与超导,2010(2):13-17
    [11]Wang Tianxi. China-the Prospect of City Gas Development in China[C]//Pursuing Cooperative Paradigm on Energy, Environment and Economy Proceedings.Taipei: GASEX2010
    [12]张爱国,郁珺,赵思功,杨慧.中美天然气现行价格水平及走势比较分析.天然气技术与经济,2011,5(5):12-15
    [13]Huang Stanley, Chiu Chen-Hwa, Elliot Doug. LNG:Basics of Liquefied Natural Gas[M]. Austin:The University of Texas,2007
    [14]钱伯章,朱建芳.世界液化天然气的现状及展望[J].天然气与石油,2008,26(4):34-38
    [15]高荣安,田楠.世界液化天然气的发展趋势[J].中外能源,2009,14(3):1-4
    [16]李健胡,萧彤.日本LNG接收站的建设[J].天然气工业,2010,30(1):109-113
    [17]Technical Committee on Liquefied Natural Gas. NFPA 59 A:2009 Standard for the Production, Storage, and Handling of Liquefied Natural Gas (LNG) [S]. Quincy, USA: National Fire Protection Association,2009
    [18]王健敏,皇甫立霞,郭开华.美国LNG项目安全法规标准及其启示[J].天然气工业,2011,31(6):111-114
    [19]张抗.2015年天然气供需预测及对策—为制订“十二五”规划建言献策[J].天然气技术与经济,2011,5(1):3-8
    [20]Kraft J., Kraft A. On the Relationship between Energy and GNP[J]. Journal of Energy and Development,1978 (3):23
    [21]Glasure Yu, Lee A R. Cointegration Error-Correction and the Relationship between GDP and Ease of South Korea and Singapore[J]. Resource and Electricity Economics,1997 (20):80
    [22]Asafu Adjaye J. The Relationship between Electricity Consumption, Electricity Prices and Economic Growth:Time Series Evidence from Asian Developing Countries[J]. Energy Economics,2000 (22):16
    [23]黄飞,何明.能源消费与国民经济发展的灰色关联分析[J].能源研究与利用,2000(6):11-12
    [24]尹春华,顾培亮.我国产业结构的调整与能源消费的灰色关联分析[J].天津大学学报(自然科学与工程技术版),2003,36(1):104-107
    [25]屈小娥,袁晓玲.中国能源消费与经济增长的灰色关联分析[J].统计与决策,2008(14):86-88
    [26]李晓燕.中国能源消费与经济增长的灰色关联分析[J].重庆大学学报(社会科学版),2010,16(5):31-35
    [27]陈幸祎,黄栋.湖北省能源消费与经济增长的灰关联分析[J].统计与决策,2011(20):126-128
    [28]Sturm, Jan-egbert&Jacobs, Jan&Groote, Peter. Output Effects of Infrastructure Investment in the Netherlands,1853-1913[J]. Journal of Macroeconomics,1999 (21):355-380
    [29]郑思齐,刘洪玉.中国建设投资与经济增长关系的计量模型与分析[J].清华大学学报(哲学社会科学版),2001,16(4):4549
    [30]刘伦武.基础设施投资对经济增长推动作用的动态计量模型与分[J].数理统计与管理,2005,24(2):60-65
    [31]缪仕国.基础设施与江苏省经济增长关系研究[D].南京农业大学,2006
    [32]周业付.长江航道建设投资对流域经济拉动作用研究[D].武汉理工大学,2010
    [33]Edgar M, Hoover. Location in Theory and Leather Industries[M]. Cambridge Mass:Harvard University Press,1957
    [34]S L Hakimi. Optimum Location of Switching Centers and the Absolute Centers and Medians of A Graph[J]. Operations Researeh,1964 (12):450-459
    [35]薛春芳,李巍.LNG接收站站址比选方法初探[J].中国造船,2009(50):693-695
    [36]潘志军.浅谈LNG气化站的选址与设计[A].中国城市燃气学会液化气专业委员会第二十一届年会论文集[C].2005
    [37]李健胡.中国液化天然气接收站选址探讨[A].2010年中国天然气(含煤层气/煤制天然气)产业及系统管网建设发展论坛,148-157
    [38]孟博,刘茂,李清水.基于风险指数RI的选址评价在LNG储备库中的应用[J].安全与环境学报,2010,10(5):204-207
    [39]龙安厚,韩帅,张帆.大连LNG接收站站址比选[J].科学技术与工程,2011,11(33):8339-8342,8352
    [40]吴策宇,党文义,刘晓龙.LNG接收站选址安全距离研究[J].中国安全生产科学技术,2012,8(6):167-172
    [41]萨缪尔森,诺德豪斯.经济学(高鸿业译)[M].北京:中国发展出版社,1992
    [42]保罗·A-萨缪尔森.经济学(第17版)[M].北京:中国邮电出版社,2004
    [43]赵伟滨,卜伟.企业绿色物流外部性的内部化[J].综合运输,2006(5):43-46
    [44]林成.从市场失灵到政府失灵:外部性理论及其政策的演进[D].辽宁大学,2007
    [45]周启蕾,胡伟,黄亚军.绿色物流的外部性及其主体间的博弈分析[J].深圳大学学报(人文社会科学版),2007,24(2):49-53
    [46]Levin S.I., Kharionovsky V.V. Causes and Frequency of Failures on Gas Mains in the USSR, All Russian Scientific/Research Institute for Natural Gas and Gas Technology (VNIIGAS) [J]. Journal of Pipes and Pipelines International,1993,2(3):7-8
    [47]Martin E. Incidence of Spillages from Oil Industry Pipelines in Europe[J]. In:Proceedings of OECD Workshop on Pipelines,1996a
    [48]Papadakis G. A. Assessment of Requirements on Safety Management Systems in EU Regulations for the Control of Major Hazard Pipelines[J]. Journal of Hazardous Materials, 2000,78 (1-3):63-89
    [49]王玉梅,郭书平.国外天然气管道事故分析[J].油气储运,2000,19(7):5-10
    [50]LIN Yongzhang, GE Weizhong, XU Qiming. Recalling Series of Major Disasters (6)-Study on Explosion of Liquefied Petroleum Gas Tank in Mexico Pemex[J]. Chemical industry, 2001,48 (2):107-123
    [51]Stephens M.J., Leewis K., Moore D.K. A Model for Sizing High Consequence Areas Associated with Natural Gas Pipelines[A]. Proceedings of the International Pipeline Conference[C]. Calgary (Canada):American Society of Mechanical Engineers,2002: 759-767
    [52]Jo Y., Ahn B.J. Analysis of Hazard Areas Associated with High-pressure Natural-gas Pipelines[J]. Journal of Loss Prevention in the Process Industries,2002,15 (3):179-188
    [53]Yuhu D., Huilin G., Jing Z., et al. Mathematical Modeling of Gas Release through Holes in Pipelines[J]. Chemical Engineering Journal,2003,92 (1-3):23-241
    [54]徐志胜,邓芸芸,姜学鹏.城市天然气管道泄漏的危害分析[J].工业安全与环保,2006,32(9):47-48
    [55]Donald L. Ermak. USER'S MANUAL FOR SLAB:AN ATMOSPHERIC DISPERSION MODEL FOR DENSER-THAN-AIR RELEASES[Abridged Version]. Physics Department, Atmospheric and Geophysical Sciences Division University of California, Lawrence Livermore National Laboratory Livermore, California,1990 (6)
    [56]Bosch V. D. Methods for the Determination of Possible Damage to people and Objects Resulting from Releases of Hazardous materials[M]. Hague:The Nether- lands Organization of Applied Scientific Research (TNO),1992:60-87
    [57]Center for Chemical Process Safety. Guidelines for Evaluating the Characteristics of Vapor Cloud Explosions, Flash Fires, and BLEVEs[M]. New York:The American Institute of Chemical Engineers,1994:157-242
    [58]Haines SW. Preventing Boiling Liquid Expanding Vapor Explosions[A]. In:International Conference and Workshop on Modeling and Mitigating the Consequences of Accidental Releases of Hazardous Materials American Institute of Chemical Engineers,1995 (5)
    [59]Egidi D., Foraboschi F.P., Spadoni G., et al. The ARIPAR Project:Analysis of the Major Accident Risks Connected with Industrial and Tran-spoliation Activities in the Ravenna Area[J]. Reliability Engineering and Systems Safety,1995 (49):75-89
    [60]Dag Bjerket Vedt, Jan Roar Bakke Keesvan Wingerden. Gas Explosion Handbook[M]. Journal of Hazardous Materials,1997 (52):1-150
    [61]Linbens D., Shetty N. Ketal. A Probabilitic Approach to Fracture Assessment of Onshore Gas Transmission Pipeline[J]. Pipes&Pipelines International,1998,1 (2):7-8
    [62]Helena Montiel. Mathematical Modeling of Accidental Gas Releases[J]. Journal of Hazardous Materials,1998 (9)
    [63]J.S. Puttoek, M.R. Ydley, T.M. Cresswe. Prediction of Vapor Cloud Explosions Using the SCOP Emodel[J].2000 (13):419-431
    [64]Takagi, Daisuke. Reliability Analysis System for Risk Management of LNG Receiving Terminals and Piping Proc Annu Reliab Maintain Ability Symp[M]. Institute of Electrical and Electronics Engineers. Inc,2002
    [65]Jan Staw Czyk. Experimental Evaluation of LPG Tank Explosion Hazards[J]. Journal of Hazardous Materials,2003 (7)
    [66]胡毅亭,饶国宁,陈网桦等.天然气输送管道泄漏事故危害定量分析[J].中国安全生产科学技术,2003,13(6):21-24
    [67]U.S. ENVIRONMENTAL PROTECTION AGENCY Office of Emergency Management Washington, D.C. NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION Office of Response and Restoration/Hazardous Materials Response Division Seattle, Washington. ALOHA (r) Areal Locations of Hazardous Atmospheres USER'S MANUAL, 2006 (2)
    [68]Mc. Devltt, Robin Pitblado. Potential for BLEVE Associated with Marine LNG Vessel Fires[J]. Journal of Hazardous Materials,2006 (2)
    [69]孙永庆,钟群鹏,张峥.城市燃气管道风险评估中失效后果的计算[J].天然气工业,2006,26(1):120-122
    [70]梁瑞,张春燕,姜峰等.天然气管道泄漏爆炸后果评价模型对比分析[J].中国安全科学学报,2007,17(8):131-135
    [71]王兆芹.高压输气管道泄漏模型研究及后果影响区域分析[D].中国地质大学(北京),2009
    [72]史文文.LNG气化站的风险评价及预警系统的构建[D].哈尔滨工业大学,2010
    [73][日]国部克彦.环境会计[M].新世社,1998
    [74]李连华,丁庭选.环境成本的确认和计量[J].经济经纬,2000(5):78-80
    [75]屈琦,马海鹰.关于建立企业环境成本核算体系的探讨[J].哈尔滨工业大学学报(社会科学版),2004,6(6):58-61
    [76]陈煦江.浅析环境成本核算[J].中国乡镇企业会计,2005(2):41
    [77]步丹璐.环境成本与产品生命周期[J].财会通讯,2008(2):92-93
    [78]白云防,王辉.试论环境成本的确认和计量[J].经济研究导刊,2009(22):53-55
    [79]Bartelmus. Intergrated Environmental and Economic Accounting Methods and Applications. Journal of Official Statistics,1993 (9):179-182
    [80]Martin O'Connor. The Internalization of Environmental Costs:Implementing the Polluter Pays Principle in the European Union[J]. International Journal of Environment and Pollution, 1997, Vol.7, PP450-482
    [81]Michael E.Porter, Class vander Linde.环保与竞争力:对峙的终结[J].哈佛商业评论,2006(1)
    [82]胡雅芬,李洋.协调贸易与环境的途径— 环境成本内部化[J].西北工业大学学报(社会科学版),2009(9):39-42
    [83]王金南,曹东.可持续发展战略与环境成本内部化[J].环境科学研究,1997(1):37-42
    [84]谢卓然,宗刚.环境成本内部化与我国对外贸易环境竞争力[J].经济与管理,2003,4(8):12
    [85]古祖莎.贸易与环境的协调— 环境成本内部化研究[J].财会通讯,2003(11):99-101
    [86]罗云桂.环境成本内部化探析[J].价格月刊,2007(11):40-42
    [87]宋小芬,阮和兴.环境成本内部化与企业竞争力[J].经济与管理,2004(7):43-46
    [88]胡妍红,傅京燕.论环境成本内部化[J].生态经济,2001(4):13-15
    [89]曲如晓,张业茹.协调贸易与环境的最佳途径—环境成本内部化[J].中国人口、资源与环境,2006(4):17-22
    [90]杨巧.环境污染外部性的内部化方式—兼论排污权交易制度在我国的推行[J].价值工程,2009(2):23-25
    [91]庄静怡,何炼成.我国煤炭的环境外部成本内部化探析[J].现代企业,2010(5):35,38-39
    [92]李云.基于内部化的企业环境成本控制研究---以造纸企业为例[D].江西理工大学,2011
    [93]Benita M, Beamon. Designing the Green Supply Chain[J]. Logistics Information Management,1999,12 (4):332-342
    [94]贺巍巍.基于绿色度的绿色供应链综合评价体系研究[D].清华大学,2008
    [95]张珊珊、张孝远.物流系统绿色度评价指标体系研究[J].物流科技,2010(10):67-69
    [96]于宝琴,张悦.基于DM的绿色供应链中绿色度的评价方法[J].制造业自动化,2010(5):171-175
    [97]王凤忠,赵复涛,吴志斌等.企业供应链管理绿色度评价研究[J].物流技术,2012,31(8):333-335
    [98]马金麟,陈龙.基于FCE-DEA-AHP的城市物流绿色度评价研究[J].武汉理工大学学报(交通科学与工程版),2012,36(3):583-586
    [99]慕现娟,冯套柱.绿色供应链管理绿色度评价指标体系研究— 以蔬菜产业为例[J].技术与创新管理,2012,33(3):316-319
    [100]李斌,严妍.基于绿色物流思想的成品油配送中心选址[J].物流科技,2008(11):64-66
    [101]李斌.基于绿色物流思想的成品油油库选址[D].南京航空航天大学,2009
    [102]何波.基于绿色度评价的配送中心选址决策方法[J].现代管理科学,2011(6):110-112
    [103]Kennedy J., Eberhart R C. Particle Swarm Optimization[C]. Proc. IEEE Int. Conf. on Neural Networks, Perth, WA, Australia, IEEE Service Center, Piscataway, NJ,Ⅳ.1995: 1942-1948
    [104]Eberhart R C., Kennedy J. A New Optimizer Using Particle Swarm Theory[C]. Proc. The Sixth Int. Symposium on Micro Machine and Human Science, Nagoya, Japan, IEEE Service Center, Piscataway, NJ.1995:39-43
    [105]Kennedy J, Eberhart RC. A Discrete Binary Version of the Particle Swarm Algorithm[C]. Proceedings of the World Multiconference on Systemies, Cybernetics and Informatics. Piscataway, NJ:IEEE Service Center,1997:4104-4109
    [106]Shi Y. H., Eberhart R. C. A Modified Particle Swarm Optimizer[C]. Proceedings of IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, Piscataway, NJ.1998,69-73
    [107]Salman.A, Ahmad.I, Sabah. Particle Swarm Optimization for Task Assignment Problem[J]. Microprocessors and Microsystems,2002 (26):363-371
    [108]Leticia Cagnina, Susana Esquivel. A Particle Swarm Optimizer for Multi-Objective Optimization[J].JCS&T,2005,5 (4):204-210
    [109]张丽平.粒子群优化算法的理论及实践[D].浙江大学,2005
    [110]沈艳,郭兵,古天祥.粒子群优化算法及其与遗传算法的比较[J].电子科技大学学报,2005,34(5):696-699
    [111]钟一文,杨建刚,宁正元.求解TSP问题的离散粒子群优化算法[J].系统工程理论与实践,2006(6):88-94
    [112]吴庆洪,张颖,马宗民.粒子群优化算法及其应用综述[J].微计算机信息,2010(30):34-35,10
    [113]Muhlbauer W K. Pipeline Risk Management Manual[M]. Houston:USA:Gulf Publishing Company,1996
    [114]Vrijling J. K., Vanhw, Houben R. J. Acceptable Risk as a Basis for Design[J]. Reliability Engineering and System Safety,1998,59:141-145
    [115]Jonkman S. N., Vangp, Vrijling J. K. An Overview of Quantitative Risk Measures for Loss of Life and Economic Damage[J]. Journal of Hazardous Materials,2003, A99:1-6
    [116]Christou M.D., Struck L.M.. Bierman N.T. Land Planning Guidelines[R]. Italy:European Commission Joint Research Center Institute for the Protection and Security of the Citizen Hazard Assessment Unit.2006
    [117]Lin Y.C.,Xie Y.J., Wang X.H., et al. Risk Analysis of In-service Pressure Piping Containing Defects[J]. Inter-national Journal of Pressure Vessels and Piping,2004,81 (1):13-20
    [118]Kallen M.J., Van N.J. Optimal Maintenance Decisions under Imperfect Inspection[J]. Reliability Engineering& System Safety,2005,90 (2-3):177-185
    [119]Hirst, Carter D.A. A "worst case" Methodology for Obtaining a Rough but Rapid Indication of the Societal Risk from a Major Accident Hazard Instal- lation[J]. Journal of Hazardous Materials,2002, A92:223-235
    [120]Health and Safety Executive. Guidance on "as low as reasonably practicable" (ALARP) decisions in control of major accident hazards (COMAH) [EB/OL]. [2009-03-07]. http://www.hse.gov.uk/comah/circular/permlz.htm
    [121]AL DJE. Risk Assessment Approach to Pipeline Life Management[J]. Pipe&Pipelines International,1998:1-2
    [122]Nussey C., Pantony M., Smallwood R. Health & Safety Executive's Risk Assessment Tool, RISKAT[J]. Trans IChemE,1993,171B:29-36
    [123]武雪芳,陈家宜.定量风险评价标准探讨[J].上海环境科学,2000,19(4):152-154,158
    [124]吴宗之,多英全,魏利军,关磊.区域定量风险评价方法及其在城市重大危险源安全规划中的应用[J].中国工程科学,2006,8(4):46-49
    [125]多英全,魏利军,于立见等.基于风险的重大危险源选址规划研究[J].中国安全生产科学技术,2007,3(6):20-23
    [126]高建明,王喜奎,曾明荣.个人风险和社会风险可接受标准研究进展及启示[J].中国安全生产科学技术,2007,3(3):29-34
    [127]李清水,刘茂.风险积分参数RI在LPG站风险分析及评价中的应用[J].安全与环境学报,2008,8(1):149-151
    [128]饶华春.基于误差修正模型的教育投资与经济增长关系研究[J].现代管理科学,2008(3):102-105
    [129]覃思乾.广西农村居民收入与消费的误差修正模型研究[J].广西民族学院学报(自然科学版),2006,12(3):76-80
    [130]董承章,张书云.中国居民储蓄行为误差修正模型[J].中央财经大学学报,2001(11):24-29
    [131]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002
    [132]邓聚龙.灰色系统理论教程[M].武汉:华中理工大学出版社,1990
    [133]刘思峰,邓聚龙.GM(1,1)模型的适用范围[J].系统工程理论与实践,2000(5):121-124
    [134]刘金英.灰色预测理论与评价方法在水环境中的应用研究[D].吉林大学,2004
    [135]张英.构建我国环境会计体系的研究[D].东北林业大学,2005
    [136]谢赤,钟赞.熵权法在银行经营绩效综合评价中的应用[J].中国软科学,2002.9
    [137]贾海红.熵及改进的粒子群算法在资源均衡问题中的应用研究[D].华北电力大学硕士论文,2009.12
    [138]吴登丰.公立医院药品供应模式研究[D].武汉理工大学博士论文,2011.5
    [139]Pawlak Z. Rough Sets[J]. International J of Computer and Information Sciences,1982,11 (5)
    [140]Pawlak Z. Rough Sets:Theoretical Aspects of Reasoning About Data[M]. Dordrecht, The Netherlands:Kluwer Academic Publishers,1991
    [141]Pawlak Z. Vagueness and Uncertainty:a Rough Set Perspective. Comput Intell,1995 (11): 277-282
    [142]刘清.Rough集及Rough理论[M].北京:科学出版社,2001
    [143]裴小兵.粗糙集的知识约简研究[D].华中科技大学,2006
    [144]Wang J, Miao D Q. Analysis on Attribute Reduction Strategies of Rough Set[J]. Journal of Computer Science and Technology,1998,13 (2):189-192
    [145]赵志强,王新江.有关LNG项目选址的环境成本研究[J].中国化工贸易,2013(6)
    [146]侯海玮.基于利益相关者博弈和环境成本内部化的企业环境投资决策[D].北京交通大学,2011
    [147]王雷.环境成本内在化问题研究[D].内蒙古大学,2011
    [148]徐瑜青,王燕祥,李超.环境成本计算方法研究— 以火力发电厂为例[J].会计研究,2002(3):49-53
    [149]张杰.企业环境成本管理研究[D].西北工业大学,2006
    [150]宋心宇.基于粒子群优化算法的物流中心选址研究[D].长沙理工大学,2006
    [151]李群仁.External Cost of transport system in China[A]. Management and Policy Seminar of UIC[C]. Tunis,2004

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