Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
Add to Favorite Get Latest Update

Neural networks for rainfall runoff modeling

Yang Rongfu\ Ding Jing\ Liu Guodong (Sichuan Union university)  
In this paper, two types of neural networks for rainfall runoff modeling are suggested: real outputs back feeding to input layer network(ROBIN) and additional output neuron back feeding input layer system (ADONIS). They are compared with HYMN(a hydrologically based neural network) and TANK(a lumped conceptual water buckets model). The results show that the proposed network models can reasonably simulate daily runoff series.
【Fund】: 国家自然科学基金
【CateGory Index】: TV121.1,TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 10 Hits
1 HE Yiying;CHEN Xiaohong;ZHANG Yun;DING Hualong;Center of Water Resources and Environment Research, Sun Yat-sen University;Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute;;Application of BP Neural Network Model in Runoff Simulating for Small Watershed[J];水文;2015-05
2 SHI Qing-zhi;HE Jun-shi;College of Water Conservancy,Shenyang Agricultural University;;Precipitation forecast based on GRNN model[J];南水北调与水利科技;2015-02
3 ZHAO Qingxu,PU Xiaofang,MA Guangwen,HUANG Weibin(College of Water Resource and Hydropower,Sichuan University,Chengdu 610065,China);Flow Routing Model in Interval River between Cascade Hydropower Stations on Downstream of Jinsha River and Three Gorges Reservoir[J];水电能源科学;2011-06
4 GU Jinde,LIAN Jijian(School of Civil Engineering,Tianjin University,Tianjin 300072,China);Neural network model based prediction on uplift force acting on bottom slab of stilling basin[J];水利水电技术;2011-01
5 CHEN Yunjun HAN Yonglin ZHANG Lihong (Zhejiang Water Conservancy and Hydropower Engineering Bureau,Hangzhou 310020,China);High Slope Displacement Analysis Based on Genetic Artificial Neural Network Method[J];水电能源科学;2010-08
6 QIAN Jinglin~1,LI Fuqiang~2,WANG Wenshuang~1 (1.Zhejiang Institute of Hydraulics & Estuary,Hangzhou 310020,China;2.College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310027,China);Time delay neural network application to flood forecast[J];水力发电学报;2009-04
7 FENG Ping~1 DING Zhi-hong~1 HAN Rui-guang~(1,2) ZHANG Jian-wei~1 (1.School of Civil Engineering,Tianjin University,Tianjin 300072,China;2.Haihe Water Resources Committee of Ministry of Water Resources,Tianjin 300170,China);Precipitation—runoff forecasting ANN model based on EMD[J];系统工程理论与实践;2009-01
8 FENG Bi-boa,ZHANG Ling-lib,CHEN Yana(a.School of Computer Science and Engineering;b.School of Foreign Languages,Chongqing Institute of Technology,Chongqing 400054,China);Application of BP Neural Network in Flood Forecasting[J];重庆工学院学报(自然科学版);2008-07
9 XU Ping ZHANG Dan YU Su-jun (College of Environmental Science and Engineering,Southwest Jiaotong University Chengdu 610031);Artificial Rain Experiment on Non-point Source Pollution under Facilities of the Jiuzhaigou Valley[J];工业安全与环保;2007-08
10 ZHANG Ye,QIAN Jing-lin (Zhejiang Institute of Hydraulics & Estuary,Hangzhou 310027,China);Application of BP-GA mixed algorithms to forecasting short term flood[J];浙江水利科技;2006-01
Chinese Journal Full-text Database 1 Hits
1 Yang Rongfu\ Ding Jing\ Liu Guodong (Sichuan Union University);Preliminary study on the artificial neural network basedon hydrological property[J];水利学报;1998-08
Chinese Journal Full-text Database 10 Hits
1 GUO Chun-qing 1,TIAN Xi-zhao 1,2(1.College of Environmental Science and Engineering,Guilin University of Technology,Guilin 541004,China;2.Hebei Institute of Environmental Geology Exploration,Shijiazhuang 050021,China);A comprehensive forecast of water inflow in karst tunnels——Exemplified by the Zhujiayan karst tunnel[J];水文地质工程地质;2011-03
2 LI Li-wei1,SONG Xiao-jun2(1.Institute of Geology,Tianjian North China Geological Exploration Bureau,Tianjin 300170;2.Tianjin North China Geological Exploration Bureau,Tianjin 300170);Simulating research on land Subsidence with BP neural network model based on MODFLOW in Ninghe[J];矿产勘查;2010-06
3 ZHENG Yan1,MO Shi-xu1,YIN Cheng-xia2(1.Department of Civil Engineering,Guilin University of Technology,Guilin 541004,China)(2.North China Municipal Engineering Design & Research Institute,Tianjin 300074,China);The Artificial Neural Network Method Used to Calculate the Average Gradient of Slope[J];数学的实践与认识;2009-09
4 WANG Fan1,2,ZHOU Bin1,XU Jian-ming1,SONG Li-song3,WANG Xin3(1.College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310029,China;2.College of Life and Environment Science,Hangzhou Normal University,Hangzhou 310012,China;3.Institute of Hydraulics and Estuary of Zhejiang Province,Hangzhou 310020,China);Vertical distribution rule analysis and simulation of suspended sediment concentration in Hangzhou bay[J];浙江大学学报(工学版);2008-11
5 WANG Wen-sheng1,2,JIN Ju-liang3,LI Yue-qin1(1.Chengdu Institute of Plateau Meteorology,CMA,Chengdu 610072,China;2.School of Hydraulic Engineering of Sichuan University,Chengdu 610065,China;3.School of Civil Engineering,Hefei University of Technology,Hefei 230009,China);Advances in stochastic simulation of Hydrology[J];水科学进展;2007-05
6 Wang Chun-ping1,Wang Jin-sheng1,Liang Tuan-hao2(1.Institute of Water Sciences,Beijing Normal University,Beijing 100875;2.Songhua-Liaohe River Water Resources Commission,Changchun Jilin 130021);Application of artificial intelligence in the flood forecasting[J];水力发电;2005-09
7 ZUO Shu-hua(State key laboratory of estuarine and coastal research, East-china normal university, Shanghai 200062, China);State-of-art of Artificial Neural Networks in Analysis and Forecasting of Current and Sediment of China[J];海河水利;2004-06
8 JI Tian-jian~1, HUANG Xiao-ming~1, LIU Qing-quan~2, TANG Guo-qi~2(1.School of Transportation, Southeast University, Nanjing 210096, China; 2.Research Institute of Highway, Ministry of Communications, Beijing 100088, China);Prediction model of rain water depth on road surface[J];交通运输工程学报;2004-03
9 WANG Xie-kang,FANG Duo Chengdu 610065, China);Neural network modeling of characteristics of overland flow[J];水动力学研究与进展(A辑);2004-02
10 WEN Chao,WEN Yu-song (College of Civil and Architectural Engineering, Central South University, Changsha 410075, China);The artificial neural network method used to calculate the depth of local scour of the expending base piers in the boulder riverbed[J];中南大学学报(自然科学版);2004-02
Chinese Journal Full-text Database 10 Hits
1 AI Ping;WU Junlan;WANG Xuejiao;DING Qingyun;College of Hydrology and Water Resources,Hohai University;;Mann-kendall method based test on water temperature time series[J];水利水电技术;2014-02
2 LI Jiao1) JIANG Mingyuan2) SUN Wenchao1) YU Jingshan1) YAO Xiaolei1)(1)College of Water Sciences,Beijing Normal University,100875,Beijing,China; 2)Kunyushan Farm,264115,Yantai,Shandong,China);RAINFALL-RUNOFF SIMULATION OF SHANMEI RESERVOIR IN QUANZHOU CITY ON BP NEURAL NETWORKS[J];北京师范大学学报(自然科学版);2013-Z1
3 CUI Dongwen(Water Conservancy Bureau of Wenshan Prefecture,Wenshan 663000,China);Application of Hidden Multilayer BP Neural Network Model in Runoff Prediction[J];水文;2013-01
4 RUI Xiao-fang,LING Zhe,LIU Ning-ning,LIANG Xiao(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China);Origin of Xin'anjiang model and its further development[J];水利水电科技进展;2012-04
5 CUI Dong-Wen(Wenshan Water Resources Association,Wenshan 663000,Yunnan Province,China);RBF and GRNN Neural Network Model in the Evaluation of River Health[J];中国农村水利水电;2012-03
6 YU Yan-sheng,CHEN Xing-wei(School of Geographical Sciences,Fujian Normal University,Fuzhou 350007,China);Study on the Percentage of Trend Component in a Hydrological Time Series Based on Mann-Kendall Method[J];自然资源学报;2011-09
7 ZHANG Xin~1,REN Yong-tai~2,WANG Fu-lin~1,FU Qiang~3 (1.College of Engineering,Northeast Agricultural University,Harbin 150030,China) (2.College of Science,Northeast Agricultural University,Harbin 150030,China) (3.College of Water Conservancy and Building Engineering,Northeast Agricultural University,Harbin 150030, China);Prediction of Annual Precipitation Based on Improved Grey Markov Model[J];数学的实践与认识;2011-11
8 GE Cai-lian,CAI Huan-jie,WANG Jian,ZHANG Lu-lu(Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas,Northwest Sci-Tech University of Agriculture and Forestry,Yangling 712100,Shaanxi Province,China);Study on Rainfall Forecast Based on BP Neural Network[J];节水灌溉;2010-11
9 ZHANG Shu-jie1,ZHANG Yu-shu1,SUI Dong2,CAI Fu1,WU Jin-wen1,JI Rui-peng1,CHEN Peng-shi3,LIU Qing-wu1(1.Institute of Atmospheric Environment,China Meteorological Administration,Shenyang 110016,China;2.Shenyang Meteorological Bureau,Shenyang 110168,China;3.Liaoning Meteorological Bureau,Shenyang 110001,China);Changes in Reference Evapotranspiration and Its Causes in Northeast China[J];自然资源学报;2010-10
10 ZHANG Bo,WANG Hai-qing,ZHANG Hua(Geography and Environment College of Northwest Normal University,Lanzhou 730070,China);The Simulation and Predication of Monthly Runoff in Yingluoxia Based on Artificial Neural Network[J];自然资源学报;2009-12
【Secondary References】
Chinese Journal Full-text Database 8 Hits
1 LI Shendong;SONG Zhaoyi;Zhaotong Branch,Yunnan Hydrology and Water Resources Bureau;;Runoff temporal characteristics of Luodian River in Yunnan Province[J];人民长江;2018-01
2 LIN Zhidong;CHEN Xingwei;ZHANG Cangrong;College of Geographical Sciences,Fujian Normal University;Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters;State Key Laboratory Breeding Base of Humid Subtropical Mountain Ecology;Bioenvironmental Systems Engineering,National Taiwan University;;Simulation of Storm-Floods during Typhoon and Non-Typhoon Seasons Based on Grey Correlation Analysis and BP Neural Network[J];山地学报;2017-06
3 WU Lianzhou;BAI Tao;HUANG Qiang;GUO Jiacheng;FANG Wei;State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area,Xi'an University of Technology;;Short-term output prediction of photovoltaic power based on EMD-ANFIS model[J];西安理工大学学报;2017-03
4 ZHANG Xiao-wei;ZHOU Jing-chun;ZHOU Hai-bin;XIE Zhi-qiang;HOU Zhi-qun;Kunming Management Office of Urban Underground Space Planing;;Three-dimensional Spatial Distribution of Disaster Points of Urban River[J];价值工程;2017-14
5 Mi Zichuan;Jiang Tianying;;Whether Big Data Index Can Replace Survey Data Index[J];统计研究;2016-11
6 FANG Hai-quan;XUE Hui-feng;WAN Yi;WANG Hai-ning;Beijing Institute of Information Control;Water Resources Management Center of the Ministry of Water Resources of the People's Republic of China;;Simulation Study on Predicting of Water Intake Quantity of National Control Points[J];计算机仿真;2016-10
7 LIU Yue;WANG Fang;College of Information Engineering,Kaifeng University;;Network Flow Prediction Based on Optimization Combined Kernel Extreme Learning Machine[J];计算机技术与发展;2016-06
8 XUAN Jun-wei;ZHENG Jiang-hua;LIU Zhi-hui;College of Resources and Environment Sciences,Xinjiang University;College of Grassland and Environmental Sciences,Xinjiang Agricultural University;Institute of Arid Ecology and Environment,Xinjiang University;;SPEI-based Spatiotemporal Variation of Drought in Xinjiang[J];干旱区研究;2016-02
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved