PROGRESS IN GEOGRAPHY ›› 2011, Vol. 30 ›› Issue (9): 1167-1172.doi: 10.11820/dlkxjz.2011.09.012
• Original Articles • Previous Articles Next Articles
WANG Yuli, WANG Xuan, YANG Zhifeng, TAN Yayi
Received:
2011-03-01
Revised:
2011-06-01
Online:
2011-09-25
Published:
2011-09-25
WANG Yuli, WANG Xuan, YANG Zhifeng, TAN Yayi. Progress in the Research and Application of Uncertainty Analysis Methods for Hydrological System[J].PROGRESS IN GEOGRAPHY, 2011, 30(9): 1167-1172.
[1] Christiaens J, Feyen J. Constraining soil hydraulic parameterand output uncertainty of the distributed hydrologicalMIKE SHE model using the GLUE framework. HydrologicalProcesses, 2002, 16(2): 373-391.[2] Gallart F, Latron J, Llorens P, et al. Using internal catchmentinformation to reduce the uncertainty of dischargeand baseflow predictions. Advances in Water Resources,2007, 30(4): 808-823.[3] Ascogh J C, Maier H R, Ravalico J K, et al. Future researchchallenges for incorporation of uncertainty in environmentaland ecological decision-making. EcologicalModelling, 2008, 219(3-4): 383-399.[4] 尹雄锐, 夏军, 张翔, 等. 水文模拟与预测中的不确定性研究现状与展望. 水力发电, 2006, 32(10): 27-31.[5] 武震, 张世强, 丁永建. 水文系统模拟不确定性研究进展. 中国沙漠, 2007, 27(5): 890-896.[6] Montanati A. What do we mean by‘uncertainty'? Theneed for a consistent wording about uncertainty assessmentin hydrology. Hydrological Processes, 2007, 21(6):841-845.[7] 刘苏峡, 夏军, 莫兴国. 无资料流域水文预报(PUB计划)研究进展. 水利水电技术, 2005, 36(2): 9-12.[8] Gallart F, Latron J, Llorens P, et al. Upscaling discrete internalobservations for obtaining catchment-averagedTOPMODEL parameters in a small mediterranean mountainbasin. Physics and Chemistry of the Earth, 2008, 33(17-18): 1090-1094.[9] Smerdon B D, Allen D M, Grasby S E, et al. An approachfor predicting groundwater recharge in mountainous watersheds.Journal of Hydrology, 2009, 365(2-4): 156-172.[10] 王文圣, 金菊良, 李跃清. 水文随机模拟进展. 水科学进展, 2007, 18(5): 768-775.[11] Haan C J. Statistical Methods in Hydrology. Ames: the IowaState University Press, 1977: 267.[12] Heemink AW, Van Den Boogaard H F P. Identification ofstochastic dispersion models//Hipel K W. Stochastic andStatistical Methods in Hydrology and Environmental Engineering(Volume 2): Stochastic and Statistical Modellingwith Groundwater and Surface Water Applications.London: Kluwer Academic Publishers, 1994: 267.[13] Krzysztofowicz R, Maraanzano C J. Bayesian system forprobabilistic stage transition forecasting. Journal of Hydrology,2004, 229(1-2): 15-44.[14] Bentley L R. Solving and calibrating groundwater flowsystems with the penalty method//Hipel K W. Stochasticand Statistical Methods in Hydrology and EnvironmentalEngineering (Volume 2): Stochastic and Statistical Modellingwith Groundwater and Surface Water Applications.London: Kluwer Academic Publishers, 1994: 289.[15] 刘佩贵, 束龙仓. 傍河水源地地下水水流数值模拟的不确定性. 吉林大学学报: 地球科学版, 2008, 38(4):639-643.[16] 程天文, 陈洪经. 随机水文学: 周文德教授来华讲学主要内容之一. 水文, 1981(2): 30-33.[17] 王文圣, 丁晶, 金菊良. 随机水文学. 北京: 中国水利水电出版社, 2008.[18] Jaynes E T. Information theory and statistical mechanics.Physical Review, 1957, 106(4): 620-630.[19] 肖可以, 宋松柏. 最大熵原理在水文频率参数估计中的应用. 西北农林科技大学学报: 自然科学版, 2010, 38(2): 197-205.[20] 陈守煜. 模糊水文学与水资源系统模糊优化原理. 大连: 大连理工大学出版社, 1990.[21] 陈奇南, 梁洪峻. 模糊集和粗糙集. 计算机工程, 2002,28(8): 138-140.[22] 陈守煜, 李庆国, 李敏. 基于模糊优选神经网络与GIS结合的流域面雨量预测方法. 北京工业大学学报, 2009,35(2): 162-167.[23] 吴佳文, 王丽学, 汪可欣. 粗糙集理论在年径流预测中的应用. 节水灌溉, 2008(4): 35-37.[24] Cloke H L, Pappenberger F, Renaud J P. Multi-MethodGlobal Sensitivity Analysis (MMGSA) for modelingfloodplain hydrological processes. Hydrological Processes,2008, 22(11): 1660-1674.[25] Huang Y, Chen X, Li Y P, et al. A fuzzy-based simulationmethod for modeling hydrological processes under uncertainty.Hydrological Processes, 2010, 24(25): 3718-3732.[26] Beven K J, Binley A. The future of distributed models:model calibration and uncertainty prediction. HydrologicalProcesses, 1992, 6(3): 279-298.[27] Brazier R E, Beven K J, Freer J, et al. Equifinality and uncertaintyin physically based soil erosion models: applicationof the GLUE methodology to WEPP-the Water ErosionPrediction Project-for sites in the UK and USA.Earth Surface Processes and Landforms, 2000, 25(8):825-845.[28] Freer J, Beven K J, Anlbroise B. Bayesian estimation ofuncertainty in runoff prediction and the value of data: anapplication of the GLUE approach. Water Resources Research,1996, 32(7): 2161-2173.[29] Cameron D S, Beven K J, Tawn J, et al. Flood frequencyestimation by continuous simulation for a gauged uplandcatchment (with uncertainty). Journal of Hydrology,1999, 219(3-4): 169-187.[30] Schulz K, Beven K J. Data-supported robust parameterizationsin land surface-atmosphere flux predictions: Towardsa top-down approach. Hydrological Processes,2003, 17(11): 2259-2277.[31] 赵冬泉, 王浩正, 陈吉宁, 等. 城市暴雨径流模拟的参数不确定性研究. 水科学进展, 2009, 20(1): 45-51.[32] Aronica G, Hankin B, Beven K. Uncertainty and equifinalityin calibrating distributed roughness coefficients ina flood propagation model with limited data. Advances inWater Resources, 1998, 22(4): 349-365.[33] Pappenberger F, Cloke H L, Balsamo G, et al. Global runoffrouting with the hydrological component of the ECMWFNWP system. International Journal of Climatology,2010, 30(14): 2155-2174.[34] Salazar O, Joel A, Wesstr?m I, et al. Modelling dischargefrom a coastal wastershed in southeast Sweden using anintegrated framework. Hydrological Processes, 2010, 24(26): 3837-3851.[35] Montanari A. Large sample behaviors of the GeneralizedLikelihood Uncertainty Estimation (GLUE) in assessingthe uncertainty of rainfall-runoff simulations. Water ResourcesResearch, 2005, 41(8): W08406, DOI:10.1029/2004WR003826 .[36] 卫晓婧, 熊立华. 改进的GLUE方法在水文模型不确定性研究中的应用. 水利水电快报, 2008, 29(6): 23 -25.[37] 黄伟军,丁晶. 水文水资源系统贝叶斯分析现状与前景.水科学进展, 1994, 5(3): 242-247.[38] 邓义祥, 郑丙辉, 富国, 等. Bayes 理论在河流水质模型参数识别中的应用. 环境科学学报, 2008, 28(3):568 -573.[39] Krzysztofowicz R. Bayesian system for probabilistic riverstage forecasting. Journal of Hydrology, 2002, 268(1-4): 16-40.[40] Thiemann M, Trosset M, Gupta H, et al. Bayesian recursiveparameter estimation for hydrologic models. WaterResources Research, 2001, 37(10): 2521-2535.[41] Bulygina N, Gupta H. How Bayesian data assimilationcan be used to estimate the mathematical structure of amodel. Stochastic Environmental Research and Risk Assessment,2010, 24(6): 925-937.[42] Yang J, Reichert P, Abbaspour K C, et al. Comparing uncertaintyanalysis techniques for a SWAT application tothe Chaohe Basin in China. Journal of Hydrology, 2008,358(1-2): 1-23.[43] 张铭, 李承军, 张勇传. 贝叶斯概率水文预报系统在中长期径流预报中的应用. 水科学进展, 2009, 20(1):40-44.[44] Schuwirth N, Acuña V, Reichert P. Development of amethanistic model(ERIMO-Ⅰ)for analyzing the temporaldynamics of the benthic community of an intermittentMediterranean stream. Ecological Modelling, 2011, 222(1): 91-104.[45] 王建平, 程声通, 贾海峰. 基于MCMC法的水质模型参数不确定性研究. 环境科学, 2006, 27(1): 24-30.[46] 陆乐, 吴吉春, 陈景雅. 基于贝叶斯方法的水文地质参数识别. 水文地质工程地质, 2008(5): 58 -63. |
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