城市水资源系统中若干重要问题的研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
城市水资源系统是一个复杂的大系统,包含供水系统、用水系统、排水系统、处理系统、容纳系统和管理系统等。由于城市化进程的加快和工业的迅速发展,使得近年来城市对水资源的需求急剧增长,同时由于供水设施建设滞后和水资源污染,目前全国大部分城市出现不同程度的缺水现象,每年因缺水造成的直接经济损失达2000多亿元,水资源短缺已经成为我国城市经济发展的重要制约因素;而且随着人口的不断增加及社会经济的不断发展,城市水资源供需矛盾将更加尖锐。为缓解城市水资源供需矛盾、减少因水资源短缺引起的社会、经济、生态等问题,合理预测未来需水、改革现有的城市水资源管理体制并对未来水资源系统进行评价是解决城市水问题的有效途径。因此,本文针对城市水资源系统存在的主要问题,结合国内外研究现状,对城市规划年需水进行分析预测,通过市场手段对城市进行水权初始分配及水权交易研究,并对城市的水安全状态进行了评价。主要研究内容和成果如下:
     (1)城市长期需水预测研究。城市需水预测是城市给水和节水发展规划的基础,文中选取对城市用水影响较大的因素作为预测指标,通过HP滤波分析其指标及用水量的趋势成分和波动成分。将需水及其影响因子的趋势性成分与波动性成分分别考虑,应用多元线性回归法及模糊优选神经网络进行模拟预测,然后通过组合以获得城市需水的预测值。通过验证,得出预测精度最高的组合预测模型作为城市需水的预测模型,预测结果可以为城市总体规划提供一定的参考。
     (2)城市外调水水权初始分配研究。城市水权初始分配对于保护城市水资源、保护生态环境、协调城市各地区各用水户的正当用水权益、合理开发利用水资源、节水和提高用水效益、培育与发展水市场、优化配置水资源有着重大的意义。本文针对城市外调水水源,借鉴传统水权分配原则,分析提出了外调水水权分配原则及量化方法,建立了相应的多目标优化分配模型,通过综合考虑决策者经验以及城市社会、经济、用水现状,确定经验权重及数学权重,结合经验权重和数学权重确定各目标的综合权重,进而将多目标优化问题化为单目标优化问题进行求解。
     (3)城市工农业水权交易研究。水权交易是水资源配置制度创新的核心,是提高水资源利用效率,实现水资源优化配置的有效手段。本文研究并建立了基于政府补偿与基于水权“准市场”的两种不同的水权交易模型。对于政府补偿政策下的水权交易,本文分析了交易价格的构成,建立了以“节水投入+转让补偿”为基础的“两部制”模型,重点研究其中的农业水资源价值及补偿费用,提出了相应的简化模型;对于水权“准市场”的交易模型,本文分析了在市场条件下,水权交易双方的出价策略及收益,建立了水权交易的合作博弈模型,并得出该交易模型的纳什谈判解。最后以大连市为例建立了大连市工农业水权交易模型,验证了模型的合理性。
     (4)基于工农业水权转让的城市水资源优化配置研究。以大连市为研究背景,参考已有研究成果,考虑大连市工农业水权转让,建立了以缺水量最小及用水费用最小为目标的水资源分配模型,分别得出在现状供水能力、工农业水权转让情况下的大连市2010、2020年水资源配置方案,并分析了工农业水权转让对水资源配置的影响,为进行比较,最后分析了引进外调水的大连市水资源配置及影响。
     (5)城市水安全评价的指标体系与评价方法研究。城市水安全的综合评价是制定城市水安全战略与规划、进行城市水安全决策的前提和基础。在综合分析了城市水安全内涵及特征的情况下,选取了影响城市水安全状态的定性及定量指标,建立了城市水安全综合评价指标体系,并将指标进行了等级划分,确定了各等级的指标标准值。针对水安全系统的模糊性,建立了多层可变模糊综合评价方法。最后,将模型应用到大连市,并对大连市近年来水安全状况进行了评价。模型具有简便、易操作的特性,评价结果可以为城市未来用水结构调整及水资源管理规划提供一定的方向。
     最后对全文做出总结,对有待进一步研究的问题进行展望。
Rapid population rise along with improved standards of living, urbanization and industrial growth have led to increased demand, competition and conflicts among different water users, therefore the future development of water resources will be more difficult due to the limitations of hydrology, topography and geology. In order to relief the conflict of the water supply and demand, and lessen the matters about society, economy and ecological environment caused by water shortage, to reform the existing water resources management system is a an inevitable approach to solve the urban water problems. Consequently, referring to the research results at home and abroad about water market, based on the urban water demand forecasting, the urban water market is studied, and the urban water security is evaluated. The main research and results are as follows:
     (1) The study of a long term forecasting model for the urban water demand. Urban water demand is the basis of the development planning for water-supply and water-saving. In the paper, the factors correlative with water demand are selected, then the trend and cyclical components of the factors are calculated by method of Hodrick-Prescott (HP) filter. Then the multiple linear regression method is applied to simulate the trend components, and the fuzzy neural network is built based on the cyclical components, and then the two models are combined to forecast the urban annual water demand. In order to illuminate the model, it is used to forecast the annual water demand of Dalian against actual data records from 1980 to 2007. By comparing with the traditional methods, the preferable model accuracy demonstrates the effectiveness of fuzzy neural network and multiple linear regression based on HP filter in forecasting urban annual water demand. The results show the model is reliable and feasible, and it can provide some references for urban water resources management.
     (2) The study of urban water rights optimal allocation. Water rights allocation has great meanings for water resource protection, ecological environment protection, water resources rational utilization, water market development and so on. Aimed at the different water resources, the water rights are divided into two types, the traditional water rights and the non-traditional water rights. For the traditional water rights, five allocation principles for water rights allocation of transferred water are proposed. On this basis the multi-object optimal allocation model is established for regional transferred water rights. The domestic water process water and ecological water are comprehensively considered in the model and it fully addresses fairness effectiveness and sustainable development of water rights allocation. In order to solve the model the multi-object optimization model is transformed into a single-object one with a weighted method by the determination of the weights of objective functions. The weights of objective functions are determined by the comprehensive weight method. The objective weights are obtained using the entropy weight method and the subjective weights are obtained by analyzing the intention of decision-makers. The weights of the comprehensive decision are obtained by the linear weighting method. The model not only considers the real situation but also the intentions of the decision-makers which makes it more flexible. Finally the model is applied to water rights allocation in Dalian. The result shows that the model is valuable in practice and it can be used to guide the planning of regional water transfer engineering and the optimal allocation of water resources.
     (3) Urban water rights trade and the pricing model study. Water rights trade is the core to innovate water resource allocation system, and it is also an effective approach to allocate water resources. In the paper, the basic condition and the trade principle of urban water rights trade are analyzed, and the water rights trade models under the government compensation and the quasi-market are established. For the model of government compensation, the pricing model is established based on the two-part model including of investment for water saving and compensation fee. The agricultural water resource value and compensation fee are discussed mainly, then the corresponding model is proposed respectively. For the model of quasi-market, the bidding strategies and benefit functions of both trade sides are proposed, then the cooperative game model for water rights trade is established, and the Nash bargaining solution of the model is given. In order to illustrate the models, the models for water rights trade between industry and agriculture is developed in Dalian.
     (4) Urban water resources optimal allocation based on the water right trade between agriculture and industry. Refer to the existing research results, and considering the water right trade between agriculture and industry in Dalian, the allocation model for water resource is established, which target is to minimize the water shortage and the total water cost. Finally, the model is applied to allocate Dalian's water resources in 2010 and 2020, and the different allocation schemes are gotten under the conditions of current water supply capacity, water rights trade between industry and argricuture and inter-basin water transferring. The influences of the water rights trade and inter-basin water transferring are analyzed.
     (5) The comprehensive evaluation of urban water security is the premise and foundation to build the strategy and planning and make the decision for urban water security. After analyzing the meaning and characteristics, the qualitative and quantitative indexes are selected for urban water security evaluation, and the comprehensive evaluation index system of water security is established. Then the indexes are graded and the grade standard values of each index are determined. Due to the fuzziness of the water security system, the multi-hierarchy variable fuzzy comprehensive evaluation method is built. Finally, the model is applied to evaluate the urban water security of Dalian. The case study proves that model and method are reasonable and feasible, and the evaluating results can provide reference for adjusting the urban water utilization structure and working out the water resources management and planning.
     Lastly, the conclusions and the problems need to be further studied are given at the end of the dissertation.
引文
[1]汪恕诚.水权和水市场[J],水电能源科学,2001(3):1-5.
    [2]中华人民共和国水利部.2004年中国水资源公报[R].北京,2005.9.
    [3]Wong Sin-wai,Tang bo-sin,Basil wan Horen.Strategic urban management in china:a case study of Guangzhou development district[J].Habitat international.2006,30(3):645-667.
    [4]畅明琦,黄强.水资源安全理论与方法[M].北京:中国水利水电出版社,2006.
    [5]钱正英,张光斗.中国可持续发展水资源战略研究综合报告及各专题报告[M].北京:中国水利水电出版社.2001(3).
    [6]张翔,夏军,贾绍凤.水安全定义及其评价指数的应用[J].资源科学.2005,27(3):145-149.
    [7]常德利.大连严重缺水问题及对策[J].中国水利.2001,(12):105-106.
    [8]胡鞍钢,王亚华.转型期水资源配置的公共政策:准市场和政治民主协商[J].中国水利.2000(11):10-13.
    [9]任加锐.西北内陆干旱区初始水权分配和水市场研究[D]:(硕士学位论文).南京:河海大学,2006.
    [10]方韬.合肥市城市需水量预测研究[D]:(硕士学位论文).合肥:合肥工业大学,2007.
    [11]陈为亚.城市年需水量的灰色预测探讨[J].资源环境与工程.2007,21(1):47-49.
    [12]Stefano Alvisi,Marco Franchini,Alberto Marinelli.A short-term,pattern-based model for water-demand forecasting[J].Journal of hydroinformatics.2007,09(1):39-50.
    [13]邱林,陈守煜,聂相田.模糊模式识别神经网络预测模型及其应用[J].水科学进展.1998,9(3):258-264.
    [14]Ishmael S.Msiza,Fulufhelo V.Nelwamondo,Tshilidzi Marwala.Water demand forecasting using multi-layer perceptron and radial basin functions[C].International joint conference on neural networks,Florida,2007.
    [15]王煜.灰色系统理论在需水预测中的应用[J].系统工程.1996.14(1):60-64.
    [16]张智,陈金锥.城市年用水量灰色预测研究[J].水资源与水工程学报.2006,17(5):9-11.
    [17]Shirley Gato,Niranjali Jayasuriya,Peter Roberts.Temperature and rainfall thresholds for base use urban water demand modeling[J].Journal of hydrology.2007,364-376.
    [18]Altunkaynak,A.(O|¨)zger,M.and Cakmakci,M.Water consumption prediction of Istanbul city by using fuzzy logic approach[J].Water Resources Management.2005,19(5):641-654.
    [19]刘颖慧.区域水权制度改革的研究[D]:(硕士学位论文).大连:大连理工大学.2004.
    [20]雷玉桃.国外水权制度的演进与中国的水权制度创新[J].世界农业.2006,(1):36-38.
    [21]姚傑宝.流域水权制度研究[D]:(博士学位论文).南京:河海大学,2005.
    [22]沈静,流域初始水权分配研究[D]:(硕士学位论文).南京:河海大学,2006.
    [23]王晓娟,王教河,杨彦明.松辽流域初始水权分配程序初探[J].中国水利.2005,(9):10-12.
    [24]李晶,王晓娟,王教河,杨彦明.松辽流域初始水权分配原则研究[J].中国水利.2005,(9):7-9.
    [25]刘玉龙,迟鹏超,罗尧增,王浩,甘泓,张延坤.松辽流域水资源使用权初始分配协商机制研究[J].中国水利.2006,(3):35-39.
    [26]谢敬芬,丁占宽,解国琴.层次分析法在区域水权分配中的应用[J].河北水利.2006,(1):1-2.
    [27]刘妍,郑丕谔.初始水权分配的博弈分析[J].统计与决策.2007,48-49.
    [28]Lizhong Wang,Liping Fang,Keith W.Hipel.Mathematical Programming Approaches for Modeling Water Rights Allocation[J],Journal of water resources planning and management.2007,(1):50-59.
    [29]裴源生,李云玲,于福亮.黄河置换水量的水权分配方法探讨[J].资源科学.2003,25(2):32-37.
    [30]吴凤平,葛敏.水权第一层次初始分配模型[J].河海大学学报(自然科学版).2005,33(2):216-219.
    [31]葛敏,吴凤平.水权第二层次初始分配模型[J].河海大学学报(自然科学版).2005,33(5):592-594.
    [32]王学凤,赵建世,王忠静.水资源使用权分配模型研究[J].水科学进展.2007,18(2):241-245.
    [33]苏青,施国庆,吴湘婷.流域内区域间取水权初始分配模型初探[J].河海大学学报(自然科学版).2003,3 1(3):347-350.
    [34]李海红,赵建世.初始水权分配原则及其量化方法[J].应用基础与工程科学学报.2005,增刊:8-13.
    [35]林洪孝,彭绪民.城市水权分配机会的多目标规划模型[J].水利学报.2005,36(4):452-455.
    [36]刘斌 高建恩 王仰仁译.美国 日本 水权 水价 水分配[M].天津:天津科学技术出版社,2000.
    [37]黄金平,邓禾.澳、美水权制度对构建我国水权制度的启示[J].西南政法大学学报.2004,6(6):124-128.
    [38]Rosegrant,Mark.W and Renato Gazmuri Scheleyer.Tradable Water Rights:Experiences in Reforming Water Allocation[M].USA,ISPAN,1994.
    [39]丁民.澳大利亚水权制度及其启示『J].水利学术.2003,(7):57-60.
    [40]Rosegrant,Mark W.and Hans P.Binswanger.Markets in Tradable Water Rights:Potential for Efficiency Gains in Developing Country Water Resource Allocation[J].World Development.1994.22(11):1613-1625.
    [41]席平健,周妮娜.“水权交易”实践模式之比较研究[J].南方经济.2005,(5):33-36.
    [42]水权制度建设试点经验总结(一)—内蒙古自治区水权转换资料汇编tM].北京:中国水利水电出版社,2006。
    [43]Keller,J.Water policy innovations in Califomia:water resources management in a closed water system[M].USA.Virginia.Winrick international institute for agriculture development,center for economic policy studies.1992.
    [44]Henning Bjornlund and Jennifer Mckay,factors affecting water prices in rural water market:a south Australian experience[J].water resources research.1998,34(6):1536-1570.
    [45]郭洁.水权交易中新的定价方法—实物期权方法[J].中国农村水利水电.2006,(4):42-44.
    [46]陈洪转,羊震,杨向辉.我国水权交易博弈定价决策机理[J].水利学报.2006,37(11):1407-1410.
    [47]李长杰,王先甲,范文涛,郑旭荣.水市场双边叫价贝叶斯博弈模型及机制设计研究[J].长江流域资源与环境.2006,15(4):465-469.
    [48]Sophie Thoyer,Sylvie Morardet,Patrick Rio.A Bargaining Model to Simulate Negotiations between Water Users[J].Journal of Artificial Societies and Social Simulation,2001,4(2):359-376.
    [49]R.Maria Saleth,John B.Braden,J.Wayland Eheart.Bargaining rules for a thin spot water market[J],land economics.1991,67(3):326-339.
    [50]Jose A.Gomez-limon,Yolanda Martinez.Multi-criteria modeling of irrigation water market at basin level:a Spanish case study[J].European journal of operational research.2006,173:313-336.
    [51]李海红,王光谦.水权交易机理分析[J].水力发电学报.2005,24(4):104-109.
    [52]李长杰,王先甲,范文涛.水权交易机制及博弈模型研究[J].系统工程理论及实践.2007,(5):90-94.
    [53]李海红,王光谦.水权交易中的水价估算[J].清华大学学报(自然科学版).2005,45(6):768-771.
    [54]罗慧,李良序,王梅华,刘国彬.水权准市场交易模型及市场均衡分析[J].水利学报.2006,6(4):492-498.
    [55]肖志娟,解建仓,孔珂,李亮.应急调水效益补偿的博弈分析[J].水科学进展.2005,16(6):817-821.
    [56]杨向辉.我国水权转换模式及转换价值评估研究[D]:(博士学位论文).南京:河海大学,2006.
    [57]郑通汉.论水资源安全与水资源安全预警[J].中国水利.2003,(6):19-22.
    [58]21世纪水安全——海牙世界部长级会议宣言[J].中国水利.2000,(7):8-9.
    [59]水的安全—人类的基本需要权利[J].联合国秘书长科菲.安南在世界水日的献词.水科学进展.2001(12):280.
    [60]卢敏,张展羽,石月珍.集对分析法在水安全评价中的应用研究[J].河海大学学报.2006,34(5):508-508.
    [61]韩宇平,阮本清.区域水安全评价指标体系初步研究[J].环境科学学报.2003,23(2):267-272.
    [62]夏军,刘孟雨,贾绍凤,宋献方,罗毅,张士峰.华北地区水资源及水安全问题的思考与研究[J].自然资源学报.2004,19(5):551-560。
    [63]胡惠方.郑州市需水量驱动因子及水资源需求预测分析[D]:(硕士学位论文).郑州大学,2007.
    [64]邓聚龙.灰色系统(社会经济)[M].北京:国防工业出版社,1985.
    [65]岳琳,张宏伟,王亮.粒子群优化算法在城市需水量预测中的应用[J].天津大学学报,2007,40(6):742-746.
    [66]Hodrick,Robert,and Edward C.Prescott.Postwar U.S.Business Cycles:An Empirical Investigation,Journal of Money[J].Credit and Banking.1997, 29(1):1-16.
    [67]张军.关于我国粮食产量波动缺口的研究—基于HP滤波的计量及政策分析[J].乡镇经济.2008,(6):87-90.
    [68]李晓芳,高铁梅.应用HP滤波方法构造我国增长循环的合成指数[J].数量经济技术经济研究.2001,(9):100-103.
    [69]郭玉清.中国财政周期性波动的经济稳定效应分析[J].中国财经大学学报.2007,(1):1-6.
    [70]徐大丰,朱平芳,刘弘.中国经济周期的非对称性问题研究[J].财经研究.2005,31(4):13-21.
    [71]盛骤,谢式千,潘承毅.概率论与数理统计[M].北京:高等教育出版社,2001.
    [72]陈守煜.工程模糊集理论及应用[M].北京:国防工业出版社,1998.
    [73]陈守煜,王大刚.基于遗传算法的模糊优选BP网络模型及其应用[J].水利学报.2003,(5):116-121.
    [74]邱菀华.管理决策与应用熵学[M].北京:机械工业出版社,2001.
    [75]唐恒,杜发兴.基于熵权的模糊物元水资源承载力评价模型[J].中国农村水利水电.2006.12:33-39.
    [76]沈满洪.水权交易制度研究—中国的案例分析[M].杭州:浙江大学出版社,2006.
    [77]罗云峰.博弈论教程[M].北京:清华大学出版社.北京交通大学出版社,2007.
    [78]汪恕诚.建立水权转让机制 保障经济社会可持续发展[N].内蒙古日报.2004,3月30日第一版.
    [79]孟志敏.水权交易市场——水资源配置的手段[J].中国水利.2000(12):11-12.
    [80]姜文来.水资源价值论[M].北京:科学出版社.1999.
    [81]Commons,John Rogers.制度经济学[M],北京:商务印书馆,1962.
    [82]高而坤.中国水权制度建设[M].北京:中国水利水电出版社,2007.
    [83]Renato Gazmuri Schleyer,Mark W.Rosegrant.Chilean water policy:the role of water rights,institutions and markets[J].Water Resources Development.1996,12(1):33-48.
    [84]张志乐.水作为供水项目产出物的影子价格测算理论和方法[J].水利科技与经济.1999,5(1):8-11.
    [85]赵成.地下水资源评价中有关概念的讨论[J].甘肃地质学报.1999,5(1):78-85.
    [86]汪恕诚,水权和水市场[J].中国水利.2000:6-9.
    [87]J.J.Walmsley.Market forces and the management of water for the environment [J].Water SA.1995,21(1):43-50.
    [88]王选庆,王磊荣.农业生产力定量分析—运用农业生产力定量分析模型估计农产品影子价格[J].中国农业资源与区划.1999,20(5):28-33.
    [89]陈志辉,程旭学.河西走廊灌溉水田间入渗补给地下水机理研究[J].西安工程学院学报.2002,24(1):33-38.
    [90]宰松梅,王朝辉,庞鸿宾.污水灌溉的现状与展望[J].土壤.2006,38(6):805-813.
    [91]张杰,熊必永,李捷.水健康循环原理与应用[M].北京:中国建筑工业出版社.2006.
    [92]Walmsley J J.Market forces and the management of water for the environment[J].Water SA.1995,21(1):43-50.
    [93]Bjomlund H,Mckey J.Factors affecting water in rural water market[J].Water resource research.1998,34(6):1563-1570.
    [94]卢华友,郭儿裕.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.
    [95]黄强,王增发.城市供水水源联合优化调度研究[J].水利学报.1999,(5):57-62.
    [96]方创琳.区域可持续发展与水资源优化配置研究[J].自然资源学报.2001,4(7)341-347.
    [97]赵建世,王忠静,翁文斌.水资源复杂适应配置系统的理论与模型[J].地理学报.2002,57(6):639-647.
    [98]陈守煜.大连市水资源利用与宏观经济协调发展规划多目标群决策模型与方法[J].水利学报.2003,34(3):42-48.
    [99]李国金.城市多种水资源系统优化配置模型的研究[D]:(硕士学位论文).天津:天津大学,2005.
    [100]王浩 秦大庸 王建华.黄淮海流域水资源合理配置研究[M].北京:科学出版社,2003.
    [101]王浩 陈敏建 秦大庸.西北地区水资源合理配置和承载能力研究[M].郑州:黄河水利出版社,2003.
    [102]王少波.面向用水户的水资源合理配置研究[D]:(博士学位论文).西安:西安理工大学,2007.
    [103]张格铖.水权理论对水资源优化配置的影响研究[D]:(硕士学位论文).南京:河海大学,2005.
    [104]郭武.水权与水资源优化配置研究[D]:(硕士学位论文).长沙:国防科学技术大学,2004.
    [105]冯耀龙,韩文秀,王宏江,练继建.面向可持续发展的区域水资源优化配置研究[J].系统工程理论与实践.2003,(2):133-138.
    [106]张文鸽,黄强,管新建.区域水资源优化配置模型及应用研究[J].西北农林科技大学学报(自然科学版).2005,33(12):153-158.
    [107]王为人,屠梅曾.基于层次分析法的流域水资源配置权重测算[J].同济大学学报(自然科学版).2005.33(5):1133-1136.
    [108]毕维铭.国土整治与经济建设[M].北京:首都师范大学出版社,1993.
    [109]丛方杰.基于水基和复杂适应理论的北方沿海城市水资源可持续利用研究[D]:(博士学位论文).大连:大连理工大学,2007.
    [110]陈坤.解决华北水危机可选方案成本探讨.社会科学,2004,12(1):5-12.
    [111]http://www.0e2.net/post/163.html
    [112]邓国群.海水淡化技术经济比较.广西电力技术,2001,2(1):53-56.
    [113]林治国,何文斌,许振东等.向海洋要资源.水世界—中国城镇水网.
    [114]毕维铭.国土整治与经济建设.北京:首都师范大学出版社,1993.
    [115]王金亭.沿海城市水资源可持续利用对策分析.中国水利,2003,4(B刊):26-27.
    [116]成建国,杨小柳.论水安全[J].中国水利.2004,(1):21-23.
    [117]张俊艳,韩文秀,城市水安全问题及其对策探讨,北京科技大学学报(社会科学版),2005,21(2):78-81.
    [118]陈燕海,张晓芬.城市供水水源应急预案探讨[J].水利发展研究.2003,(6):31-33.
    [119]韩宇平,阮本清.区域水安全评价指标体系初步研究[J].环境科学学报.2003,23(2):267-272.
    [120]郭永龙,武强.中国的水安全及其对策探讨[J].安全与环境工程.2004,11(1):43-45.
    [121]钟华平,耿雷华.虚拟水与水安全[J].中国水利.2004,(5):22-23.
    [122]Ministerial Declaration of The Hague on Water Security in the 21st Century.2000
    [123]Falkenmark M,Widstrand C.Population and water resources:a delicate balance [J].Population Bulletin.Population Reference Bureau,Washington,DC,1992,47(3).
    [124]World Water Council.World Water Vision 2025[M].Earthscan Publications L td.,2000.
    [125]Sullivan,Caroline,Calculating a Water Poverty Index[J].World Development.2002,30(7):1195-1210.
    [126]贾绍凤,张军岩,张士峰.区域水资源压力指数与水资源安全评价指标体系[J].地理科学进展.2002,21(6):538-545.
    [127]陈守煜.水资源与防洪系统可变模糊集理论与方法[M].大连:大连理工大学出版社,2005.
    [128]胡吉敏.沿海地区水资源承载力评价研究[D]:(博士学位论文).大连:大连理工大学,2007.
    [129]畅明琦.水资源安全理论与方法研究[D]:(博士学位论文).西安:西安理工大学,2006.