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智能决策在水资源优化配置中的应用研究
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摘要
水资源是社会经济发展的重要物质资源,它可对生态环境产生良好的影响,促进社会经济平稳持续发展,也可导致环境恶化,影响社会经济的正常发展。怎样能使有限的水资源得到合理的分配和高效的利用是关系到经济发展和人类生存环境的重要问题。因此,水资源的优化配置研究具有重要的现实意义。
     本论文建立黑龙江省2009年各地区社会经济发展、生态环境状况与水资源开发利用状况综合评价指标体系,应用Delphi法结合层次分析法确定指标权重,分别采用系统协调度模型和模糊聚类方法(传统的FCM算法、改进的FCM算法和模糊聚类循环迭代算法)、神经网络(自组织竞争神经网络和BP神经网络)等智能决策算法,对黑龙江省13个地区现有的水资源配置状况进行了协调性评价和分析。然后以哈尔滨市为例,结合模糊线性加权理论建立目标函数,通过目标达到法和遗传算法对规划水平年提出优化配水方案,然后基于系统协调度模型对两种方法得出的结果进行对比,求得哈尔滨市最佳的水资源配置结果,并提出实现当地水资源优化配置的合理措施和方案,为黑龙江省水资源可持续利用提供了决策参考。
Water resources can have a nice effect on ecological environment and promote thesustainable development of social economy. It also can lead to environmentaldegradation and influence the normal development of social economy. How can makefull use of limited water resources is an important problem related to the economicdevelopment and human survival environment. So the research on water resourcesoptimal allocation has the important practical significance.
     This paper established social economic-ecological environment-water resourcedevelopment evaluation index system in HLJ Province in2009, applied Delphi methodand AHP to determine index weight, separately used system coordinate degree modelsand intelligent decision-making algorithms such as fuzzy clustering method (TraditionalFCM Algorithm, Improved FCM Algorithm and Fuzzy Clustering Iterative Model) andneural network (self-organize competition neural network and BP neural network) toevaluate and classify for13areas in HLJ Province. The paper has taken Harbin forexample, established the objective function combining the fuzzy linear weighted theory,separately used goal attainment method and genetic algorithm to propose waterdistribution plans for planning level year and made coordination analysis based on thetwo methods. Then the optimal allocation of water resources in Harbin can be gotten.The paper also pointed out several reasonable measures for local water resourcesoptimization allocation, and provided decision-making reference for water resourcessustainable utilization in HLJ Province.
引文
[1]王秋梅,付强,孙楠等.区域水土资源优化配置的研究现状及存在问题分析[J].水资源与水工程学报,2010(2):68-71.
    [2]耿艳辉,闵庆文.西北地区水土资源优化配置问题探讨[J].水土保持研究,2004(3):100-102.
    [3]赵秀美.基于Repast仿真平台的水资源优化配置研究[D].硕士学位论文,天津大学,2008,5.
    [4]吴泽宁,索丽生.水资源优化配置研究进展[J].灌溉排水学报,2004,23(2):1-4.
    [5]左其亭等.城市水资源承载能力—理论·方法·应用[M].北京:化学工业出版社,2005.
    [6]高健磊,吴泽宁,左其亭等.水资源保护规划理论方法与实践[M].郑州:黄河水利出版社,2002.
    [7]周丽.基于遗传算法的区域水资源优化配置研究[D].硕士论文,郑州大学,2002.
    [8]于雪峰,李忠华,张晓炜等.基于系统协调发展的三江平原水资源优化配置研究[A].变化环境下的水资源响应与可持续利用——中国水利学会水资源专业委员会2009学术年会论文集,2009,436-440.
    [9] Xifeng LIU,Xuefeng YU,Kui YU.The Current Situation and SustainableDevelopment of Water Resources in China[J].2012International Conference onModern Hydraulic Engineering,2012:522-526.
    [10]黄红.我国水资源利用现状及对策分析[J].江西化工,2011(1):207-208.
    [11] Davis,Calif.HEC-5simulation of flood control and conservation system user’smanual[M].U.S. Army Corps of Engineers:Hydrologic Engineering Center,1982.
    [12] George Kuczera,Glen Diment.General water supply system simulation model:WASP [J].Journal of water Resources Planning and Management,1988,114(4):365-382.
    [13] Loucks DP,Salewicz KA,Taylar M.RIRIS.An interactive river system simulationprogram user’s manual[M].Cornell University,Ithaea,N.Y.1990.
    [14] Murray DM,Yakowitz SJ.Constrained differential dynamic Programming and itsapplication to multireservoir control[J].Water Resources Research,1979,15(5):1017-1027.
    [15] Antle JM,Capalbo SM.Physical and economic model integration for measurementof environmental impacts of agricultural chemical use[J].Journal of Agriculturaland Resource Economics,1991,20(3):62-68.
    [16] Norman J Dudley.Optimal interseasonal irrigation water allocation[J].WaterResources Research,1971,7(4):11-24.
    [17] Joeres.E.F, Liebman.J.C. Operating rules for joint operation of raw watersources[J].Water Resources Research,1971,7(2):225-235.
    [18] Muivihill.WE,Dracup.J.A.Optimaltiming and sizing of a conjunctive urban watersupply treatment facilities[J].Water Resources Research,1971(7):463-478.
    [19] Rogers P.S Ramaseshan.Multiobjective analysis for planning and operation ofwater resources systems:Some examples from India. Paper Presented at JointAutomatic Control Conference,1976:213-217.
    [20] Yeh WWG.Reservoir management and operations models:a state-of-the-artreview[J].Water Resources Research,1985,21(12):1797-1818.
    [21] Wong,Hugh S,Sun, Ne-zheng.Optimization of conjunctive use of surface waterand groundwater with water Quality constraints[J].Proceeding soft the AnnualWater Resources Planning and Management Conference,1997:56-68.
    [22] Kumar Arun Minocha. Vijay K.Fuzzy optimization model for water qualitymanagement of a river system[J].Journal of Water Resources Planning andManagement,1999,125(3):179-190.
    [23] Jahangir Morshed,Jagath J. Kaluarachchi.Enhancements to genetic algorithm foroptimal ground-water management[J].Journal of Hydrologic Engineering,2000,51(1):67-73.
    [24] M.W. Rosegrant, C. Ringler, D.C. McKinney, et al. Integratedeconomic-hydrologic water modeling at the basin scale: the maiPo riverbasin[J].Agricultural economics,2000,24(1):33-46.
    [25] Minsker. B S,Padera. B,Smalley. J B.Efficient methods for including uncertaintyand multiple objectives in water resources management models using GeneticAlgorithms[J].International Conference on Computational Methods in WaterResources,Calgary,2000:25-29.
    [26] Jorge Nielsa,Rosa Duarte.An Economic Model for water Allocation in NorthEastern spain[J].Water Resources Development,2001,17(3):397~410.
    [27] Mckinney D.C.,CAI X.M.Linking GIS and Water resources managementmodels:an object-oriented method[J].Environmental modeling and software,2002,17:413-425.
    [28] Ujjayant,Chakravorty,Chieko Umetsu.Basinwide water management:a spatialmodel[J].Journal of Environmental Economies and management.2000,45(1):1-23.
    [29] B.AbolPour,M.Javan,M.Karamouz.Water allocation improvement in river basinusing Adaptive Neural Fuzzy Reinforcement Learning Approach[J].Applied SoftComputing,2007,7(1):265-285.
    [30] B.JC.perera,B.James,M.D.U.Kularathoa.Computer software tool realm forsustainable water allocation and management[J]. Journal of EnvironmentalManagement,2005:291-300.
    [31] CAO Lianhai,LI Zhiping,CHEN Nanxiang.Optimal allocation of multi-objectivewater resources based on genetic algorithm[J].2010Third InternationalConference on Information and Computing,2010:194-197.
    [32] Haofang WANG,Wenyan CHEN.Fuzzy Evaluation of River Basin WaterResources Allocation[J].2009International Conference on Artificial Intelligenceand Computational Intelligence,2009:496-499.
    [33]袁宏源.人民胜利渠最优运行策略的研究[J].海河水利,1985(5):4-9.
    [34]贺北方.区域水资源优化分配的大系统优化模型[J].武汉水利电力学院学报,1988(5):109-118.
    [35]贺北方.区域可供水资源优化分配与产业结构调整——大系统逐级优化序列模型[J].郑州工学院学报,1989(1):56-62.
    [36]沈佩君,邵东国,郭元裕.南水北调东线工程优化规划混合模拟模型研究[J].武汉水利电力学院学报,1991(4):395-402.
    [37]唐德善,周之豪,许连成.动态规划法在复杂水资源系统分析中的应用[J].运筹与管理,1993(3-4):48-54.
    [38]王浩,王建华,秦大庸.流域水资源合理配置的研究进展与发展方向[J].水科学进展,2004(1):123-128.
    [39]卢华友,郭元裕,沈佩君等.义乌市水资源系统分解协调决策模型研究[J].水利学报,1997(6):40-47.
    [40]丁志雄,陈南祥,苏万益.地下水资源系统人工神经网络模型的建立与应用[J].工程勘察,1999(2):42-45.
    [41]谢乐云.模糊数学在水资源价值研究中的应用[J].华东地质学院学报,2000(1):43-44,86.
    [42]董贵明,束龙仓,陈南祥,田娟.南水北调中线河南受水区水资源优化配置研究[J].工程勘察,2007(4):18-22.
    [43]董贵明.基于GIS的南水北调中线工程河南受水区水资源优化配置决策支持系统研究[D].硕士论文,华北水利水电学院,2006.
    [44]曹大为.基于遥感ET技术的河北省馆陶县水资源优化配置研究[D].硕士论文,甘肃农业大学,2008.
    [45] LV Jiqiang,MO Shuhong,SHEN Bing.Optimal Allocation of Water ResourcesBased on Dependent Chance Goal Programming[J].2010Mechanic Automationand Control Engineering (MACE),2010:5128-5131.
    [46] NIU Wen-juan,WANG Hui-min.Multi-level Multi-object Inter-basin WaterResources Allocation Model Based on the Evolution of CoordinationDegree[J].2008International Conference on Management Science&Engineering(15th),2008:153-160.
    [47] Guo Longzhu, Peng Shizhang.Research on Allocation Schemes of WaterResources Sustainable Utilization Based on Global Optimization[J].2009International Conference on Management and Service Science,2009:1-4.
    [48] Wei Huang.An Emprical Study on Optimization Method of Allocation Waterresources[J].2010International Conference on E-Business and E-Government,2010:725-728.
    [49] MA Wei-fang, WEN Jun-liu. Study on Fuzzy Optimization Allocation ofReclaimed and Natural Water Resources[J].The2nd International Conference onBioinformatics and Biomedical Engineering,2008:3553-3558.
    [50]伍爱华.多目标蚁群遗传算法及其在区域水资源配置问题中的应用[D].硕士论文,湖南大学,2008.
    [51] L. A. Zadeh.Fuzzy Sets [J].Information and Control,1965(3):338-353.
    [52]陈守煜.论相对隶属度[J].大自然探索,1993(2):25-27.
    [53]陈守煜.相对隶属函数的系统辨证论哲学基础[J].系统辨证学学报,1996(2):26-29.
    [54]陈守煜.工程模糊集理论与应用[M].北京:国防工业出版社,1998.
    [55] Chen Shouyu.Relative Membership Function and New Frame of Fuzzy SetsTheory for Pattern Recognition[J].The Journal of Fuzzy Mathematics,1997(2):401-411.
    [56]于雪峰.工程模糊集理论在水资源系统中应用研究[D].博士论文,大连理工大学,2004.
    [57]余建星,蒋旭光,练继建.水资源优化配置方案综合评价的模糊熵模型[J].水利学报,2009(6):729-735.
    [58]吴丽,田俊峰.基于模糊多目标决策的城市水资源优化配置研究[J].南水北调与水利科技,2010(5):80-84.
    [59]牛云格.基于可变模糊的水资源优化配置评价系统研究[D].硕士论文,大连理工大学,2011.
    [60] McCulloch W S,Pitts W.A logical calculus of the ideas immanent in nervousactivity[J].Bull Math Biophys,1943(5):115-133.
    [61]卢兴旺,于志民,田杰.基于模糊BP神经网络的水资源合理配置综合评价研究[J].中国农村水利水电,2009(4):4-6.
    [62]宋松柏,蔡焕杰.区域水资源可持续利用评价的人工神经网络模型[J].农业工程学报,2004(6):89-92.
    [63]宋萌勃,张旭红.人工神经网络在水文水资源研究中的应用[J].水利水电快报,2008:188-189,205.
    [64]许莉,赵嵩正,杨海光.水资源承载力的BP神经网络评价模型研究[J].计算机工程与应用,2008(8):217-219.
    [65]刘丹丹,冯利华,王宁.基于反向传播神经网络的区域水资源需求量预测—以金华市为例[J].浙江大学学报(农业与生命科学版),2011(2):231-236.
    [66] J H Holland.Adaption in Natural and Artificial Systems[M].University ofMichigan Press,1975.
    [67]黄伟.基于自适应遗传算法的水资源优化配置研究[J].人民黄河,2010(8):63-64.
    [68]黄曼丽,张健,丁大发等.基于遗传算法的区域水资源优化配置研究[J].人民长江,2008(6):29-32.
    [69]郑海利,鞠勤国,刘美侠,郑文超.基于多目标遗传算法的水资源优化配置[J].东北水利水电,2011(5):54-57.
    [70]徐瑛丽.区域水资源配置方案评价研究[D].硕士论文,河海大学,2006.
    [71]刘红亮.灌区水资源优化配置与可持续发展评价研究[D].硕士论文,河海大学,2002.
    [72]李德一,张树文.黑龙江省水资源与社会经济发展协调度评价[J].干旱区资源与环境,2010(4):8-11.
    [73]张先起,刘慧卿.基于系统协调性的水资源可持续利用指标体系[J].农机化研究,2009(9):215-218.
    [74]李飞,贾屏,张远鑫等.区域水资源可持续利用评价指标体系及评价方法研究[J].水利科技与经济,2007(11):826-828.
    [75]黑龙江省统计局,国家统计局黑龙江调查总队.黑龙江统计年鉴2010[M].北京:中国统计出版社,2010.
    [76]邓睿清.白洋淀湿地水资源-生态-社会经济系统及其评价[D].硕士论文,河北农业大学,2011.
    [77]黄凤岗,宋克欧.模式识别[M].哈尔滨:哈尔滨工程大学出版社,1998.
    [78]白莉媛,胡声艳,刘素华.一种基于模拟退火和遗传算法的模糊聚类方法[J].计算机工程与应用,2005(9):56-58.
    [79]杨璀琼,江红,余晓磊.一种改进的FCM聚类研究[J].计算机与数字工程,2010(5):1-3,15.
    [80]王玲,贺兴时.基于PSO的模糊C均值聚类算法[J].甘肃联合大学学报(自然科学版),2008(2):78-81.
    [81]白素琴,惠长坤,吴小俊,王士同.一种基于遗传算法的模糊聚类算法及其与FCM算法的结合[J].华东船舶工业学院学报(自然科学版),2001(6):40-43.
    [82]王秋梅.三江平原水土资源优化配置研究[D].硕士论文,东北农业大学,2009.
    [83]玄光男,程润伟,于歆杰,周根贵.遗传算法与工程优化[M].北京:清华大学出版社,2004.
    [84]郭海湘,诸克军,刘涛.基于MATLAB采用遗传算法确定最佳聚类数[J].长春工业大学学报(自然科学版),2004(1):12-15.
    [85]王小平,曹立明.遗传算法:理论、应用及软件实现[M].西安:西安交通大学出版社,2002.
    [86]金菊良,丁晶.遗传算法及其在水科学中的应用[M].成都:四川大学出版社,2000.
    [87]雷英杰,张善文,李续武,周创明.MATLAB遗传算法工具箱及应用[M].西安:西安电子科技大学出版社,2005.
    [88]武兆慧,张桂娟,刘希玉.基于模拟退火遗传算法的聚类分析[J].计算机应用研究,2005(12):24-26.
    [89]汪松泉,程家兴.遗传算法和模拟退火算法求解TSP的性能分析[J].计算机技术与发展,2009(11):97-100.
    [90] Shiaw-Shian Yu,Wen-Hsiang Tsai.A new thinning algorithm for gray-scaleimages by the relaxation technique[J].Pattern Recognition,1990(10):1067-1077.
    [91]白曦,吕晓枫,孙吉贵.融合模拟退火的遗传算法在文档聚类中的应用[J].计算机工程与应用,2006(23):144-148.
    [92]刘秋菊,王仲英,刘素华.基于遗传模拟退火算法的模糊聚类方法[J].微计算机信息,2006(5):270-272.
    [93]宫尚宝,郭玉翠.基于遗传算法的模糊聚类分析[J].模糊系统与数学,2010(6):123-128.
    [94]苏良昱,苏良碧.基于遗传算法的聚类分析[J].电脑开发与应用,2011(2):7-9.
    [95]史峰,王辉,胡斐等.MATLAB智能算法30个案例分析[M].北京:北京航空航天大学出版社,2011.
    [96]张维,潘福铮.一种基于遗传算法的模糊聚类[J].湖北大学学报(自然科学版),2002(2):101-104.
    [97]张大斌,王婧,刘桂琴,朱侯.基于伪并行遗传算法的聚类分析方法[J].计算机工程与设计,2009(1):171-174.
    [98]徐吉辉,杨春周.军用装备采购费用评估中的神经网络模型[J].海军航空工程学院学报,2010(4):467-471.
    [99]汪海波,张海臣,段雪丽.基于MATLAB的自组织竞争神经网络聚类研究[J].邢台职业技术学院学报,2005(1):45-47.
    [100]李丙春,耿国华,周明全,朱晓冬.基于自组织特征映射聚类算法的研究与应用[J].新疆大学学报(自然科学版),2003(4):377-381.
    [101]阎平凡,张长水.人工神经网络与模拟进化计算[M].北京:清华大学出版社,2000.
    [102]杨娟,王昌全,李冰等.自组织竞争神经网络及其在社会经济区划中的应用[J].西南师范大学学报(自然科学版),2007(4):98-102.
    [103]阮仕平,党志良,胡晓寒等.人工神经网络在综合水质评价中的应用[J].水资源研究,2004(2):21-23.
    [104]王东旭.一种基于人工神经网络的短期股价预测模型的研究[D].硕士论文,天津工业大学,2006.
    [105]王茹.智舌中智能模式识别单元的实现与应用研究[D].硕士论文,浙江工商大学,2009.
    [106]田野,郭嗣琮,刘丹.基于BP网遥感影像分类研究与应用[J].中国科技论文在线,2008:1-5.
    [107]钟海全,李颖川,刘永辉等.基于BP神经网络的多相管流模型优选及应用分析[J].中国科技论文在线,2008(11):873-878.
    [108]董长虹.MATLAB神经网络与应用(第2版)[M].北京:国防工业出版社,2007.
    [109]杜晓亮,蒋志方,谭业浩.基于样本自组织聚类的BP神经网络预测模型[J].计算机工程与应用,2009(21):167-170.
    [110]郭胜,李欣.哈尔滨市水资源优化配置方案研究[J].水利科技与经济,2010(10):1123-1126.
    [111]孙凌虹,王静.城市水资源优化配置概述[J].地下水,2011(3):156-158.
    [112]陈守煜,于雪峰.相对隶属度与两级模糊识别模型及其在水工评价中应用[J].大连理工大学学报,2004(2):288-291.
    [113]全国环境统计公报(2009)[R].2010.

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