文峪河水库洪水预报计算机应用系统的开发研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
洪水预报系统是采用现代科技对水文信息进行实时遥测、传送和处理的专门技术,它综合了水文、电子、通信和计算机等科学的最新成果,是防洪决策、水资源优化调度重要的非工程措施。
     洪水预报系统中的流域水文模型是近几十年来发展起来的一种新技术,它是对流域上发生的水文过程建立数学模型,然后借助于计算机完成整个降雨径流过程。本研究基于山西省文峪河流域属于半干旱半湿润地区的实际,在研究国内外传统水文模型后,选取了新安江模型、综合产流模型和改进的新安江模型作为产流预报模型,将它们和汇流及河道演算模型进行组合,构建不同的洪水预报方案,把这些预报方案应用于文峪河水库流域,取得了较为满意的预报结果,对进一步合理的开发研究半干旱半湿润地区洪水预报方案具有积极的作用。根据预报结果,并对产流模型的结构进行了分析比较,研究结果表明:综合产流模型和改进的新安江模型从结构和实际应用中比较适应于半干旱半湿润地区。
     流域水文模型的参数率定是洪水预报中非常重要和困难的工作,因为洪水预报具有高度的复杂性、模糊性和随机性,但它同时又表现出自身的规律性,因此,模型参数的率定对洪水预报的精度非常重要,为了尽可能提高预报精度,本文简要的介绍了概念性流域水文模型参数优选的目标函数与参数优选算法;并结合人工调优,以使预报结果尽可能接近入库洪水的实际,产生的偏差尽可能小来确定模型的参数,当然,比
The flood forecasting are real time remote survey、 transmitted and deal with of technique system by making use of modern science and technology, it includes many subjects of newly fruits, for instance hydrology、 electron、 communication and computer and so on. It is very important non-project measure that in the flood control, decision making and water resource optimization attemper.
    The hydrological simulation of drainage basin is a new technique that has been developed for decades in the flood forecasting system; its mathematical model is found according to generating hydrological process in drainage basin, then fulfilling the total simulation process by computer. This research based on this realistic that weyuhe watershed shanxi province belong to semi-dry and semi-humid area, after a research tradition model to foreign and domestic in this paper, xin'anjiang model, synthesis producing runoff model and advanced xin'anjiang model as producing runoff of forecasting models were selected. The different flood forecasting projects were set up ,by combination producing runoff model、 accordant junction and stream channel's flow model, applied these projects to wenyuhe reservoir drainage basin, it were satisfied with forecasting results to obtain, it will be provided with positive effects to more research flood forecasting projects in semi-dry and semi-humid region, according to forecasting results, analyzed and compared three producing runoff models in the structure and application, it was suggested and concluded that the synthesis producing runoff model and advanced
引文
[1] 彭建,梁虹,我国洪水预报研究进展,贵州师范大学学报(自然科学版),2001,19(4),P97~102
    [2] 长江水利委员会,水文预报方法,第二版,北京,水利电力出版社,1993.6,P1~2
    [3] 章四龙,中国洪水预报系统设计建设研究,水文,2002,22(1),P32~34
    [4] 武鹏林,武福玉,高李宁,工程水文理论与计算,北京,地震出版社,1998.11,P208~209
    [5] 潘灶新,实时洪水预报技术在水库防洪减灾中的应用,水利水文自动化,2001,(4),P34~36
    [6] 翟来顺,崔庆瑞,汤怀义,黄河下游防洪存在的问题及对策,水利建设与管理,2004,24(3),P66~67
    [7] 陈敏,“98洪水”对水利水文自动化研究提出的课题,水利水文自动化,1999,(2),P11~13
    [8] 富曾慈,呼之欲出的国家防汛指挥系统,中国水利,1999,(7),P4~5
    [9] 葛守西.现代洪水预报技术[M].北京:中国水利水电出版社,1999
    [10] D.帕克,M.佛得海姆.欧盟洪水预报及报警和响应系统评述[J].水文水电快报,1997,18(7):25-30
    [11] Todini E. From Reai-Time Flood Forecasting to Comprehensive Flood Risk Management Deci-sion Support Systems. Flood and Flood Management(Editer: A.J. Saul). Kluwer Academic Publishers. 1992:313-326
    [12] D P Loucks. Development and Implementing Decision Support System: A Critique and A Chal-lenge. Water Resources Research. 1995, 31(4): 571~581
    [13] 赴美防洪抗灾培训团.美国的防洪减灾[J],防汛与抗旱,1999(2):42-46.
    [14] 陈朝辉.全国防汛信息系统建设和展望[J],办公自动化,1999(6):46-49.
    [15] Horton R E. Surface runoff phenomena. Horton Hydrology Laboratory??Publication 101. Ann. Arbor. Michigan, 1935, P739
    [16] Kirkby M J, Hillslope hydrology[M], New York; John Wiley and Sons, 1978, P389
    [17] 于维忠,论流域产流,水利学报,1985,(2),P1~11
    [18] 芮孝芳,关于降雨产流机制的几个问题的探讨,水利学报,1996,(9),P22~26
    [19] Sittner W T, Schanss C E and Monro J C, Continuous Hydrograph Synthesis With an API-Type Hydrologic Model. Water Resources Research, Vol. 5. No. 5, 1969, P1007~1022
    [20] 张恭肃,王成明,对API模型的改进,水文,1996,(4),P20~25
    [21] 加菅原正己等,Reference Manual for the Tank Model.日本:国立防灾科学技术研究中心,1994
    [22] 赵人俊,流域水文模型——新安江模型与陕北模型,北京,水利电力出版社,1984
    [23] 许大同,安德顺,何长春,流域综合产流模型的探讨,见:长江流域规划办公室汇编,水文预报论文选集,北京,水利电力出版社,1985,P18~24
    [24] 文康,李蝶娟,金管生等,流域产流计算的数学模型,水利学报,1982,(8),P1~12
    [25] 王芝桂,双曲入渗模型应用于产流计算的探讨,水利学报,1983,(8),P1~9
    [26] 李怀恩,沈晋,现行几个主要产流模型的剖析,水文,1996,(6),P14~23
    [27] 雒文生,胡春歧,韩家田,超渗和蓄满同时作用的产流模型研究,水土保持学报,1992,6(4),P6~13
    [28] 包为民,王从良,垂向混合产流模型及应用,水文,1997,(3),P18~21
    [29] Eagleson P S. Dynamic hydrolog. McGraw-Hill, 1970
    [30] Dooge J C I. Linear theory of hydrologic systems. Tech. Bul. No. 1468, USDA Agricultural Research Service, Beltsville, Margland, 1973
    [31] L. K. Sherman,"Stream flow from rainfall by the unit graphmethod", Eng. News Rec, Vol. 108, 1932, P501~505
    [32] 雒文生,宋星原,洪水预报与调度,武汉,湖北科学技术出版社,2000,P19~??43
    [33] 能源部水利部水利水电规划设计总院,水利水电工程设计洪水计算手册,北京,水利电力出版社,1995,P 294~387
    [34] Ross C N, The calculation of flood discharges by a time contour plan, Transactions of the Institution of Engineers, Australia, 1921,(2)
    [35] 张文华,流域分块移滞汇流模型,水利学报,1981,(3),P49~56
    [36] 冯焱,论变动等流时线,水利学报,1981,(4),P1~7
    [37] J. E. Nash, A unit hydrograph study, with particular reference to British catchments, proc. I. C. Vol. 17, 1960
    [38] 陈家琦,张恭肃,小流域暴雨洪水计算,北京,水利电力出版社,1985,P118~184
    [39] 张恭肃,黄守信,贺伟程,小流域单位线的非线性分析,水利学报,1981,(3),P1~9
    [40] 长江水利委员会,水文预报方法,第二版,北京,水利电力出版社,1993.6,P277~305
    [41] Dooge, J. C. I. Linear Theory of Hydrological System. U. S. Dept. of Agriculture Tech Bulletin, 1973, P1468
    [42] Natale, L. Todini, E. A Constrained Parameter Estimation Technique for Linear Models in Hydrology, 1974 publ. 13, Institute of Hydraulics univ. of Pavia
    [43] Carlos. E. P. and Bras. R. L. Application of Nonlinear Filtering in the Real Time Forecasting of River Flows. Water Resources Research, Vol. 23, No. 4, 1987, P675~682
    [44] 文康,梁庚辰,总径流线性响应模型与线性扰动模型,水利学报,1986,(6),P1~10
    [45] 王真荣,总径流非线性响应模型(TNLR)的研究及应用,武汉水利电力大学学报,1991,24(5),P573~577
    [46] 王厥谋,张瑞芳,徐贯午,综合约束线性系统模型,水利学报,1987,(7),P1~??9
    [47] 王厥谋,综合约束线性系统预报模型,郑州,黄河水利出版社,2001
    [48] 万洪涛,周成虎,万庆等,GIS技术支持下的洪水模型建模,地理研究,2001,20(4),P407~415
    [49] 翟宜峰,基于GIS/RS的洪水灾害评估模型,人民黄河,2003,25(4),P6~7
    [50] 杨杨,方勤生,利用地理信息系统软件计算面雨量,水文,1997,(6),P24~27
    [51] 邓孺孺,陈晓翔,胡细风等,遥感和GIS支持下的平原河网区暴雨产流模型研究,水文,1999,(3),P19~24
    [52] 陈昆梅,陈盛云,刘慧云.神经网络.昆明理工大学学报,1996,21(3)
    [53] HiroseY, K. Yamashin and S. H 巧 iya. Back-ProPagation algorithm which varies the number of hidden units. Neural Networks, 1991, 4(1)
    [54] Karnina E. D. A simple Procedure for Pruning Back-ProPagation trained neural networks. IEEE Transactions on Neural NetworkS, 1990, 1(2)
    [55] 蔡煜东,许伟杰.自组织人工神经网络在鄱阳湖年最高水位长期预报中的应用.水文科技情报,1993,10(2):27-29
    [56] 胡铁松,丁晶.径流长期分级预报的人工神经网络方法研究.见:夏军等主编.现代水科学不确定性研究与进展.成都:成都科技大学出版社,1994
    [57] 蔡煜东,姚林声.径流长期预报的人工神经网络方法.水科学进展,1995,6(1):61-65
    [58] Hsu. Kuo-lin. Artificial Network Modeling of The Rain Run-off Process. Water Resources Research, 1995, 31(10): 2517-2530
    [59] 李致家,孔祥光.河道洪水演算的神经网络模型.河海大学学报,1997,25(5):7-12
    [60] 丁晶,邓育仁,安雪松.人工神经前馈(BP)网络模型用作过渡期径流预测的探索[J].水电站设计,1997,13(2):69-74.
    [61] 吴超羽,张文.水文预报的人工神经网络方法[J].中山大学学报,1994,33(1):79-90[62] Raman H. and Sunikumar N. Multivariate modeling of water resources time series using artificial neural network. Journal of Hydrology Sciences, 1995, (2)
    [63] 杨荣富,丁晶等.神经网络模拟降雨径流过程.水利学报,1998,(10):69~73
    [64] 钟登华,王仁超,皮钧.水文预报时间序列神经网络模型[J].水利学报,1995(2):69-75
    [65] 潘灶新,实时洪水预报技术在水库防洪减灾中的应用,水利水文自动化,2001,(4),P34~36
    [66] 张恭肃,杨小柳,安波,确定性水文预报模型的实时校正,水文,1987,(1)
    [67] Horton R E. Surface runoff phenomena. Horton Hydrology Laboratory Publication 101. Ann. Arbor. Michigan, 1935, P1~73
    [68] Kirkby M J. Hillslope Hydrology. John Wiley & Sons, 1978
    [69] 曾代球,段一贯,论非饱和产流的计算方法,水文,1981,(1)
    [70] 任立良,刘新仁,数字高程模型在流域水系拓扑结构计算中的应用,水科学进展,1999,10(2),P129~134
    [71] 任立良,刘新仁,史灌河流域数字水文模型研究,见:赵柏林,丁一汇,淮河流域能量与水分循环研究,北京,气象出版社,1999,P229~236
    [72] 庄一钨,林三益,水文预报,北京,水利电力出版社,1986
    [73] 长江水利委员会,水文预报方法,第二版,北京,水利电力出版社,1993.6,P59~61
    [74] 芮孝芳,扩散波和线性扩散模型解析解的应用,华东水利学院学报,1985,(3)
    [75] 长江水利委员会,水文预报方法,第二版,北京,水利电力出版社,1993.6,P65~66
    [76] 赵惠君,张建国,关于“山西是干旱地区”提法科学性的探讨——兼谈干旱定义与干湿地区划分,山西水利科技,1994,24(3),P38~44
    [77] 张军涛,李哲,中国半湿润/半干旱类型及区域划分指标的研究,地理科学进展,1999,18(3),P230~237
    [78] 李琪,全国水文预报技术竞赛流域水文模型分析,水科学进展,1998,9(2),??P187~195
    [79] 李纪生,应用土壤水分结构的水箱模型的经验,水文,1989,(4),P33~35
    [80] 林三益.水文预报[M].北京:中国水利电力出版社,2001
    [81] 水利部水利信息中心三队.模型参数优化方法及其应用[J].水文,1999(增刊):61—66
    [82] 谭炳卿.水文模型参数自动优选方法的比较分析[J].水文,1996(5):8—14
    [83] 苑希民,李鸿雁,刘树坤等著.神经网络和遗传算法在水科学领域中的应用.北京:中国水利水电出版社,2002
    [84] 冯利华 基于神经网络的洪水预报研究 自然灾害学报 2000.5:9(2):45~48
    [85] 冯国章,李佩成,人工神经网络结构对径流预报精度的影响分析[J].自然资源学报,1998,13(2):169~174.
    [86] 王永骥,涂健 神经元网络控制[M].北京:机械工业出版社,1998.49~98
    [87] 王雪光,郭艳兵,齐占庆,激活函数对BP网络性能的影响及其仿真研究[J].自动化技术与应用,2002,21(4):15~17.
    [88] 张恭肃,漕韵霞,朱星明等.水情自动测报软件系统中的几个问题[J].水文,1996(4):40-43.