用户名: 密码: 验证码:
水量调度决策支持系统中的数据挖掘应用研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
在中国,旱涝一直是常见的自然灾害。尤其是在南方大部分地区,每当进入汛期,强降雨会导致多条多条河流发生较大或特大洪水,使当地群众生命和财产受到巨大威胁;但进入旱期,大面积的河流干涸,使当地的农作物和人民基本生活得不到保证,给当地的经济带来重大损失。流域水量的实时调度也越来越重要。
     本课题在以上的背景下,以江西省内抚河流域为参考对象,逐步引出并阐述解决当地旱涝的方法,智能的水量调度系统。
     流域水量调度是在既定的水资源管理体制和分配方式下,本着公平、高效和可持续发展的原则,将流域内有限的水资源实时分配到各用水单元,达到生活、生产和生态等各种用水需求的有序满足。
     首先,本文概括介绍了江西抚河流域的水文环境和水量调度系统的历史和现状,在深入调查和分析抚河水量调度现状的基础上,分析了目前抚河流域水文情况存在的供水与需求的主要问题。得出先进的水量调度系统可以对多目标优化,并能实现随机,动态和智能化过程控制,从而实现可持续发展,该调度系统可以很好的解决抚河流域旱涝问题。
     接着,确定水量调度系统的优越性后,以抚河流域的水文环境为对象,采集有效的数据。结合目前抚河水量调度需要,根据水库调度理论和系统科学的理论建立满足水量调度辅助决策系统模型。将该系统以功能为单位划分为5类模型:来水预报模型;需水模型;方案匹配模型;水量分配模型。
     随着确定好整个系统框架,对不同的模型,逐个进行分析。为了能通过数据来解决非线性问题,并且能最大精度的模拟现实模型,本文决定采用时间序列的方法,来度量水库调度方案的相似性。为了最大限度利用数据库中的历史数据,建立了方案匹配模型,从方案库中查找到相似度最高的方案,为方案编制提供参考方案。
     最后以抚河流域一段时间的水文环境为例,通过时间序列相似性,对数据库中的数据进行度量,并根据度量值,数据库中寻找出最适合当前条件的水库调度方法。
     本论文主要研究了数据分析在水利方面的应用。通过数据分析,搭建了智能的水量调度系统。通过该系统可以有效的缓解抚河流域当地的旱涝自然灾害。并成功的开发了在线江西省抚河流域水量调度辅助决策平台,为科研人员更好的管理和解决当地的水文问题。
In China, droughts and floods are common natural disasters. Especially in most parts of the South, whenever entered the flood season, heavy rainfall will lead to many rivers in large or catastrophic flood, so that local people's lives and property by a huge threat; but the drought period, large areas of rivers drying up, local crops and their basic living conditions can not be guaranteed to bring heavy losses to the local economy. Real-time scheduling of the basin water is also increasingly important.
     This subject in the above context, the Fuhe River in Jiangxi Province as a reference object, and gradually leads and described a method to solve the local droughts, water smart scheduling system.
     Basin water regulation established water resources management system and methods of distribution, the principle of fair, efficient and sustainable development, the basin's limited water resources in real time allocated to water unit to achieve the life, production and ecological ordered to meet the water demand.
     First, this paper provides an overview of the history and current status of the environment of of Jiangxi Nadekawa watershed hydrology and water regulation system, Fuhe River hydrology, water supply and demand on the basis of in-depth investigation and analysis of the status quo of the Fuhe water scheduling the main problem. Obtained advanced water regulation system on the multi-objective optimization, and random, dynamic and intelligent process control, in order to achieve sustainable development, the scheduling system can solve the Fuhe River drought and flood problems. Then, to determine the superiority of the water regulation system, Fuhe River hydrological environment, collecting valid data. The combination of the Fuhe water management needs, the establishment of the reservoir operation theory and the theory of systems science to meet the water scheduling decision support system model. The system to function as a unit is divided into five-class model: runoff forecasting model; water demand model; program matching model; water allocation model.
     To determine the framework of the entire system on the different models, one by one. In order to pass the data to solve nonlinear problems, the simulation model of reality can be the greatest accuracy, the paper decided to adopt the methods of time series to measure the similarity of the reservoir operation scheme. Established in order to maximize the use of historical data in the database, the matching model of the program, find the most similar program from the program library, the reference scenario for the programming.
     Finally some time to Fuhe River hydrological environment, for example, to measure the similarity in time series data in the database, and according to the measure, the database to find out the most suitable for the current conditions of reservoir operation method.
     The paper combines the Fuhe water scheduling water diversion requirements, Fuhe River hydrological reservoir operation theory and system theory, and give full consideration to the current the Fuhe water supply and demand contradiction, Jiangxi Province, water conservancy scheduling decision support system model, and model results were compared. Model, according to the demand for water regulation, the development of the practicality, reliability, advanced, open, scalable, feature-rich, easy to operate and maintain the the Fuhe upstream cascade reservoirs scheduling system. For researchers to better manage and resolve the problem of local hydrology.
引文
[1].江西省水文局.江西水资源综合规划之水资源调查评价报告[R].2004.7.
    [2].江西省水利规划设计院.江西省水资源综合规划之水资源开发利用现状调查评价报告[R].2004.7.
    [3].抚州市水利局.抚州市水资源公报[R].2003.
    [4].江西省质量技术监督局.江西省城市生活用水定额(DB36/T419-2003).2003.12.
    [5]. S.-R. Cao, X.-J. Wang, Expert system for earth-rock allocation management based on knowledge engineering [C], Proceedings of the First International Conference on Machine Learning and Cybernetic,2002.
    [6]. Wanshun Zhang,Yan Wang,Hong Peng,A integrated water quality-quantity method for water resource management,[C],International Conference on Environmental Science and Information Application Technology,2009.
    [7]. Z.-H. Hu, Y.-S. Ding, and Q. Shao, Immune co-evolutionary algorithm based partition balancing optimization for tobacco distribution system, Expert Systems with Applications, vol.36:no.3,p.5248-5255.2009.
    [8]. Yang Liu, Zheng-hui Ren,Dong-ming Li,Xin-ke Tian, Zhong-nan Lu, the Research of Precision Irrigation Decision Support System based on Genetic Algorithm, [J],Proceedings of the Fifth International Conference on Machine Learning and Cybernetics,August 2006,13-16
    [9]. Kamalendu Pal, Owen Palmer. A Decision Support System for Business Acquisitions [J]. Decision Support Systems,2000(27):411429.
    [10]. Chen Wenwei. Decision Support System and its Development (the second edition) MI. Beijing:Tsinghua University Press,2000(2):148-162.
    [11]. C.-E. Lin, C.-M. Kao, R.-Y. Surampalli, Y.-C. Lai, M.-S. Lee,C.-Y. Wu, Integrated water resource management for Kaoping River Basin [J], Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management,2010,14(:2)151-156.
    [12]. Boonsoong, Boonsatien; Sangpradub, Narumon; Barbour, Michael T.; Simachaya, Wijarn,An implementation plan for using biological indicators to improve assessment of water quality in Thailand[J],Environmental Monitoring and Assessment,2010,165(:1-4)205-215.
    [13]. K. Pal and O. Palmer, A decision support system for business acquisitions [J], Decision Support Systems,2000,27(:41) 1429.
    [14]. S.-R. Cao and X.-J. Wang, Expert system for earth-rock allocation management based on knowledge engineering [C], Proceedings of the First International Conference on Machine Learning and Cybernetic,2002.
    [15]. W.-S. Zhang, Y. Wang, and Hong Peng, A integrated water quality-quantity method for water resource management [C], International Conference on Environmental Science and Information Application Technology,2009
    [16].Z.-H. Hu, Y.-S. Ding, and Q. Shao, Immune co-evolutionary algorithm based partition balancing optimization for tobacco distribution system, Expert Systems with Applications,2009,36(3):5248-5255.
    [17]. Y. Liu, Z.-H. Ren, D.-M. Li, X.-K. Tian, and Z.-N. Lu, Research of precision irrigation decision support system based on genetic algorithm [J], Proceedings of the Fifth International Conference on Machine Learning and Cybernetics,August 13-16, 2006.
    [18]. K. Pal and O. Palmer, A decision support system for business acquisitions [J], Decision Support Systems,2000,27(:41) 1429.
    [19]. W.-W. Chen, Decision support system and its development (the second edition), Beijing:Tsinghua University Press,2000.
    [20]. N. Y. Nikolaev, and H. Iba, "Learning polynomial feed-forward neural networks by genetic programming and back-propagation," IEEE Transactions on Neural Networks, vol.14, no.2, p.337-350,2003.
    [21]. T.-C. Chen, and P.-S. You, "Immune algorithms-based approach for redundant reliability problems with multiple component choices," Computers in Industry, vol. 56, no.2, p.195-205,2005.
    [22]. C.-H. Hou, Y.-S. Ding, and X.-Y. Zeng, Immune based evolutionary algorithm for fabric evaluation, Mathematics and Computers in Simulation, vol.77,no.(5-6): 540-549,2008.
    [23]. R. L. King, S. H. Russ, A. B. Lambert, and D.S. Reese, "An artificial immune system model for intelligent agents," Future Generation Computer System, vol.17,no.4, p.335-343,2001.
    [24]. K.-Z. Chen and Y. Leung, "A neural network for solving nonlinear programming problem," Neural Computation and Applications, vol.11, no.2, p.103-111,2002.
    [25].邓坤,张璇,杨永生,刘聚涛.流域水资源调度研究综述[J],水利经济,2011(06):23-27
    [26].葛瑜,GPRS通信在小型水电站水调自动化系统中的应用[J],中国水能及电气化,2011(11):43-46
    [27].王海龙,刘有理.宝鸡峡灌区灌溉供需水量分析[J],陕西水利,2011(05):174-175
    [28].杨永生,刘聚涛,李荣昉,邓坤.基于水量分配方案的非汛期水量调度方案编制——以江西抚河流域为例[J],人民长江,2011(15):9-12
    [29].尹正杰,黄薇,陈进.长江流域大型水利水电工程水量调度初步探讨[J].长江科学院院报,2011(07):7-12
    [30].廉娟.以水利信息化带动水利现代化——塔里木河流域水量调度远程监控系统概述[J].中国西部科技,2011(15):70-71
    [31].王煜,李福生,王彤.黄河小浪底以下河段水资源实时调控决策支持系统研究[J].水电能源科学,2011(05):131-135
    [32].陶亚芬.水资源调度工程对城市内河水环境改善的作用分析[J].城市道桥与防洪,2011(05):88-91
    [33].南朝,高玲,时乐,冯民权.调水工程中的水量平衡分析[J].城市道桥与防洪,2011(04):104-107
    [34].哈斯高娃,格日乐.黑河调水及流域近期治理成效调研报告[J].农业科技与信息,2011(05):60-62
    [35].熊立华,郭生练.分布式流域水文模型[J].中国水利水电出版社,2004
    [36].冯尚友.水资源系统工程.湖北科学技术出版社,1991
    [37].王本德主编.水电系统规划、管理决策方法论,北京:中国电力出版社,1997
    [38].蔡煌东,姚林生.径流长期预报的人工神经网络方法水科学进展,1995.3
    [39].邓盛民,陈晓军,祝向民塔里木河流域水资源和生态环境问题及其对策思路[J].中国水利,2001(4):31-32.
    [40].田盛,曲炜.基于动态规划的塔里木河下游水量配置研究[J].华南农业大学学报,2006(10):94-97.
    [41].陈曦,黄粤,钱静等.干旱区内陆河漫溢型生态用水调控的模拟分析—以塔里木河干流灿木里克生态区为例[J].中国科学D辑:地球科学,2006,36(增刊Ⅱ):1-8.
    [42].魏加华,王光谦,翁文斌,等.流域水量调度自适应模型研究[J].中国科学E辑:技术科学,2004(34):185-192.
    [43].清华大学水利水电工程系,喀什地区叶尔羌河流域管理处,新疆水利厅外资项目办.叶尔羌河平原绿洲四水转化关系研究报告[R].1999.
    [44].丰华丽,王超,李剑超.干旱区流域生态需水量估算原则分析[J].环境科学与技术,2002(1):31-33.
    [45].黄天明,王雄师,石培泽.干旱区生态需水量估算与退化生态重建[J].干旱区资源与环境,2004(11):43-47.
    [46].朱富春.调水工程水量调度系统应用研究[J].水电能源科学,2010(09):128-130
    [47].薛小杰,高凡,王慧.基于博弈论的水库补偿效益可拓分析[J].干旱区研究,2010/05:669-674
    [48].刘学涛,哈丽琼调控闸门在水量调度工作的作用[J].科技信息,2010(25)
    [49].郑利民,李信,黄福贵,张会敏.黑河干流取水许可与水量调度关系浅析.西北水电,2010(04):5-8
    [50].廖四辉,程绪水,施勇,马真臻,赵建世,王忠静.淮河生态用水多层次分析平台与多目标优化调度模型研究[J].水力发电学报,2010(04):14-19
    [51].张永永,黄强,张洪波,孙晓懿,高凡.黑河上游梯级水库联合调度研究[J].水力发电学报,2010(04):52-57
    [52].王盛萍,张志强,张化永,孙阁.黄土高原防护林建设的恢复生态学与生态水文学基础[J].生态学报,2010(09):2475-2483
    [53].孔珂,解建仓,徐征和.水电站调水效益补偿的理论与实施系统[J].水力发电学报,2010(02):73-79
    [54].李士美,谢高地,张彩霞,盖力强.森林生态系统水源涵养服务流量过程研究[J].自然资源学报,2010(04)
    [55].翁白莎,严登华.变化环境下中国干旱综合应对措施探讨[J].资源科学,2010(02)309-316
    [56].董丕业,李群智,杨成忠,王一秋.位山灌区续建配套与节水改造有关问题的探讨[J].节水灌溉,2010(02):64-65
    [57].毛舒燕,刘东焕,姜闯道,石雷,张金政,邢全,刘立安.水分胁迫条件下草莓克隆分株间水分调控及其对光合功能的影响[J].生态学报,2009(12):6446-6457
    [58].钟继洪,谭军,林兰稳,骆伯胜,余炜敏.广东丘陵红壤土壤水分性能特征比较研究[J].水土保持学报,2009(06):244-246
    [59].张昆,田昆,吕宪国,罗姗,李吉玉,李宁云.旅游干扰对纳帕海湖滨草甸湿地土壤水文调蓄功能的影响[J].水科学进展,2009(06):800-805
    [60].支金虎,马永清,左胜鹏.干旱胁迫与外源激素对不同基因型小麦化感潜力的诱导调控[J].中国生态农业学报,2009(06):1156-1161
    [61].王立权,王文明,赵冬岩,曹为,王才东.深海管道法兰连接方案研究[J].天然气工业,2009(10):89-92
    [62].晏成明,唐德善.跨区域非固定调水市场博弈分析[J].水电能源科学,2009(04):155-157
    [63].郑贤福,魏荣澄.水调后台系统集中管理维护方案[J].水电自动化与大坝监测,2009(04):77-80
    [64].白涛,畅建霞,方建熙.基于西霞院反调节补偿作用的小浪底水电站短期调峰运行研究[J].西安理工大学学报,2011,04:440-445
    [65].李刚军,罗军刚,解建仓,李怀恩.基于事例推理技术在灌区水量调度中的应用[J],西安建筑科技大学学报(自然科学版),2008,01:126-131
    [66].高伟增,曹玉松,张江维.渠系配水优化遗传算法求解[J].中国农学通报,2011(06)张忠波,张双虎,蒋云钟.南水北调中线一期工程水量调度方案制定分析[J],南水北调与水利科技,2011(06):5-10

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700