Research progress of error correction techniques for flood forecasting
YANG Shanshan1, ZENG Ming2, TIAN Rui3,4
1. Chinese Hydraulic Engineering Society, Beijing 100053; 2. Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010; 3. China Yangtze Power Co., Ltd., Yichang 443000; 4. Hubei Key Laboratory of Smart Yangtze River and Hydropower Science, Yichang 443000
Abstract:Error correction is an important phase in real-time flood forecasting. According to different correction contents, the classification of error correction methods is introduced and summarized, and the commonly used methods of each type of methods in hydrological forecasting are given. The basic ideas of each method are given, the existing error correction methods are reviewed, and the future research on the application of error correction techniques in hydrological forecasting is summarized and prospected.
[1] 夏军, 王惠筠, 甘瑶瑶, 等. 中国暴雨洪涝预报方法的研究进展[J]. 暴雨灾害, 2019, 38(5):416-421. [2] 胡海英, 包为民, 王涛, 等. 误差修正技术在水库洪水预报中的应用[C]//2008年全国博士生学术论坛——地球系统科学与可持续发展论文集, 2008:462-464. [3] Christian R J. Validation and intercomparison of different updating procedures for real-time forecasting[J]. Nordic Hydrology, 1997, 28(2):65-84. [4] YU P S,CHEN S T. Updating real-time flood forecasting using a fuzzy rule-based model[J]. Hydrological Sciences Journal,2005, 50(2):265-278. [5] 黄一昕, 王钦钊, 梁忠民, 等. 洪水预报实时校正技术研究进展[J]. 南水北调与水利科技(中英文), 2021, 19(1):12-35. [6] Liu Y, Weerts A H, Clark M, et al. Advancing data assimilation in operational hydrologic forecasting:progresses,challenges,and emerging opportunities[J]. Hydrology and Earth System Sciences, 2012, 16(10):3863-3887. [7] WMO.Simulated real-time intercomparison of hydrological models[R]. 1992. [8] 包为民, 瞿思敏, 李清生, 等. 遥测系统降雨观测误差估计方法研究[J]. 水利学报, 2003(4):30-34. [9] 张正康, 胡凤彬, 廖劲红, 等. 小河配套雨量站网密度分析[J]. 水文, 1997(S1):21-25. [10] 杨姗姗, 包为民, 杨小强, 等. 微分响应在降雨误差修正中的应用[J]. 中国农村水利水电, 2015(1):75-79. [11] 包为民, 顾雨薇, 司伟, 等. 降雨动态系统响应曲线修正方法在黄土区域水沙模拟中的应用[J]. 湖泊科学, 2020, 32(2):528-538. [12] 司伟, 包为民, 瞿思敏, 等. 基于面平均雨量误差修正的实时洪水预报修正方法[J]. 湖泊科学, 2018, 30(2):533-541. [13] Weimin B, Wei S, Simin Q.Flow Updating in Real-Time Flood Forecasting Based on Runoff Correction by a Dynamic System Response Curve[J].Journal of Hydrologic Engineering, 2013, 19(4):747-756. [14] 包为民, 司伟, 沈国华, 等. 基于单位线反演的产流误差修正[J]. 水科学进展, 2012, 23(3):315-322. [15] 包为民, 嵇海祥, 胡其美, 等. 抗差理论及在水文学中的应用[J]. 水科学进展, 2003, 14(4):528-532. [16] 赵超.实时洪水预报系统中雨量粗差修正及降雨的短期预报[D].南京:河海大学, 2003. [17] 瞿思敏.抗差理论在洪水预报中的应用[D].南京:河海大学, 2004. [18] 瞿思敏. 降雨观测误差修正方法研究[J]. 武汉大学学报(工学版), 2005, 38(6):32-34. [19] ZHAO R J. The Xinanjiang model applied in China[J].Journal of Hydrology, 1992, 135(1):371-381. [20] Komma J, Blöschl G, Reszler C.soil moisture updating by ensemble kalman filtering in real-time flood forecasting[J].Journal of Hydrology, 2008, 357(3):228-242. [21] 王燕生, 王舜燕.适应性卡尔曼滤波在水文预报中的应用[J]. 水文, 1985(1):16-21. [22] Bishop G,Welch G. An introduction to the kalman filter[C]//SIGGRAPH,2001,8:41. [23] 葛守西. 蓄满产流模型的卡尔曼滤波算法[J]. 成都科技大学学报, 1984(4):69-78. [24] 李致家.现代水文模拟与预报技术(第1版)[M]. 南京:河海大学出版社, 2010. [25] Moradkhani H,Sorooshian S,Gupta H V,et al. Dual state-parameter estimation of hydrological models using ensemble Kalman filter[J]. Advances in Water Resources,2005,28(2):135-147. [26] Evensen G. Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics[J].Journal Of Geophysical Research-atmospheres, 1994, 99:10143-10162. [27] 李新, 黄春林, 车涛, 等.中国陆面数据同化系统研究的进展与前瞻[J].自然科学进展, 2007(2):163-173. [28] Rango A,Singh V P. The snowmelt runoff model(SRM)[J].Computer models of watershed hydrology, 1995:477-520. [29] Kachroo R K. River flow forecasting.Part 1. A discussion of the principles[J].Journal of Hydrology, 1992, 133(1):1-15. [30] Shamseldin A Y,O'Connor K M. A non-linear neural network technique for updating of river flow forecasts[J].Hydrology and Earth System Sciences Discussions, 2001, 5(4):577-598. [31] Hasebe M, Hino M, Hoshi K.Flood forecasting by the filter separation AR method and comparison with modeling efficiencies by some rainfall-runoff models[J].Journal of Hydrology,1989,110(1):107-136. [32] 戴会超, 何文社, 曹叔尤.基于误差修正的BP神经网络模型在河道洪水预报中的应用[J].水电能源科学, 2006, 24(1):69-71. [33] 庞博, 郭生练, 熊立华, 等.改进的人工神经网络水文预报模型及应用[J].武汉大学学报:工学版, 2007, 40(1):33-36. [34] Babovic V, Canizares R, Jensen H R, et al.Neural networks as routine for error updating of numerical models[J].Journal of Hydraulic Engineering, 2001, 127(3):181-193. [35] DeChant C M, Moradkhani H.Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting[J]. Water Resources Research,2012,48(4):W04518. [36] Kitanidis P K, Bras R L.Real-time forecasting with a conceptual hydrologic model:2. Applications and results[J]. Water Resources Research, 1980, 16(6):1034-1044. [37] Todini E.A model conditional processor to assess predictive uncertainty in flood forecasting[J].International Journal of River Basin Management, 2008, 6(2):123-137. [38] Liu Y, Weerts A H, Clark M, et al.Advancing data assimilation in operational hydrologic forecasting:progresses,challenges,and emerging opportunities[J].Hydrology and Earth System Sciences, 2012, 16(10):3863-3887. [39] 瞿思敏, 包为民, 石朋, 等.AR模式误差修正方程参数抗差估计[J].河海大学学报(自然科学版), 2003(5):497-500. [40] 刘志雨. 我国洪水预报技术研究进展与展望[J]. 中国防汛抗旱, 2009, 19(5):13-16. [41] Jain S K,Mani P,Jain S K,et al. A Brief review of flood forecasting techniques and their applications[J].International Journal of River Basin Management, 2018, 16(3):329-344. [42] Zhang X, Liu P, Cheng L, et al.A back-fitting algorithm to improve real-time flood forecasting[J].Journal of Hydrology, 2018, 562:140-150. [43] 徐杰, 李致家, 霍文博, 等.半湿润流域洪水预报实时校正方法比较[J].河海大学学报(自然科学版), 2019, 47(4):317-322. [44] 田雨, 雷晓辉, 蒋云钟, 等.洪水预报实时校正技术研究综述[J].人民黄河, 2011, 33(3):25-26, 28. [45] 周梦, 陈华, 郭富强, 等.洪水预报实时校正技术比较及应用研究[J]. 中国农村水利水电, 2018(7):90-95. [46] 孙逸群, 包为民, 江鹏, 等. 基于无迹卡尔曼滤波的新安江模型实时校正方法[J]. 湖泊科学, 2018, 30(2):488-496. [47] 包为民. 洪水预报信息利用问题研究与讨论[J]. 水文, 2006(2):18-21. [48] 司伟, 包为民, 瞿思敏. 洪水预报产流误差的动态系统响应曲线修正方法[J]. 水科学进展, 2013(4):497-503. [49] Si Wei,Weimin Bao.The research of rainfall error correction based on system response curve[J].Applied Mechanics and Materials, 2013, 368:335-339. [50] 杨姗姗, 曾明. 降雨误差微分响应岭估计[J/OL]. 水文:1-9[2022-06-22].https://doi.org/10.19797/j.cnki.1000-0852.20210447. [51] Si W,Gupta H V, Bao W, et al. Improved dynamic system response curve method for real-time flood forecast updating[J]. Water Resources Research, 2019, 55(9):7493-7519. [52] 包为民, 孙逸群, 周俊伟, 等. 基于总体最小二乘法的系统响应修正方法[J]. 水利学报, 2017, 48(5):560-567. [53] Sun Y, Bao W, Jiang P.et al. Development of dynamic system response curve method for estimating initial conditions of conceptual hydrological models[J].Journal of Hydroinformatics, 2018, 20(6):1387-1400. [54] Sun Y, Bao W, Valk K, et al.Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter[J].Water Resources Research, 2020, 56(8Pt.1):WR027468. [55] Liang Z, Huang Y, Singh V P, et al.Multi-source error correction for flood forecasting based on dynamic system response curve method[J]. Journal of Hydrology, 2021, 594:125908. [56] 夏军. 水文学科发展与思考[J]. 中国科学基金, 2000(5):39-43. [57] 芮孝芳. 水文学前沿科学问题之我见[J]. 水利水电科技进展, 2015(5):95-102. [58] 张建云. 中国水文预报技术发展的回顾与思考[J]. 水科学进展, 2010, 21(4):435-443.