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《Water Saving Irrigation》 2019-10
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Groundwater Level Prediction Based on Long-short- term Memory Neural Network Model

WANG Yun;YANG Hai-bo;XU Jian;ZHENG Meng-qi;HAN Zhi-xin;ZHAO Yao;Geological Exploration Institute of Shandong Zhengyuan;  
The long-short-term memory neural network(LSTM) is used to construct the groundwater level prediction model, which solves the problem that the traditional neural network prediction model does not consider time series when processing time series data. At the same time, the model adopts the method of multi-influence variable input to solve the problem that the simple time sequence model relies too much on time in data processing. Taking the 046J groundwater level monitoring well in Jiangjiayuan Village, Manzhuang Town, Daiyue District, Tai'an City as an example, the groundwater level prediction model is constructed by using the long-term and short-term memory neural network based on the monitoring data and related climatic data from 2001 to 2016. The optimal parameters are determined by controlling variables and the groundwater level in the study area is predicted and compared with the prediction results of univariate LSTM neural network and BP neural network. The results show that: LSTM neural network model based on multi-variable input can accurately predict future groundwater level changes by a small amount of historical data; especially in some areas where data are scarce, the prediction error is significantly lower than that of the model participating in the comparison, and the prediction RMS error is only 2.052. Therefore, LSTM neural network model based on multi-variables can be used as a simple and effective tool for groundwater level prediction and provide some reference for regional water resources management.
【Fund】: 山东省自然资源厅;; 山东省地下水水源地调查评价(泰莱盆地)(鲁地环201604)
【CateGory Index】: P641.7
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【Citations】
Chinese Journal Full-text Database 9 Hits
1 XU Yuanwei;LI Zuoyong;WANG Jiayang;College of Resources and Environment,Chengdu University of Information Technology;;Similar Forecast Models of Underground Water Level Based on Set Pair Analysis[J];水文;2015-06
2 Liu Bo;Xiao Changlai;Liang Xiujuan;College of Environment and Resources,Jilin University;Key Laboratory of Groundwater Resources and Environment,Ministry of Education, Jilin University;;Application of Combining SOM and RBF Neural Network Model for Groundwater Levels Prediction[J];吉林大学学报(地球科学版);2015-01
3 LI Hui;ZHOU Weibo;LIU Boyang;LI Na;MA Cong;School of Environmental Science and Engineering,Chang'an University;Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education,Chang'an University;;Groundwater Depth Prediction Model in Jinghui Irrigation District of RBF Neutral Network Based on Particle Swarm Optimization[J];水电能源科学;2014-08
4 DONG Yan-hui1,ZHOU Wei-bo2,BU Qing3,YAN Shao-fang3(1.College of Civil & Architecture Engineering,Xi'an Technological University,Xi'an 710032,China; 2.College of Environment Science and Engineering,Chang'an University,Xi'an 710054,China; 3.HCIG Renqiu Thermal Power Co.,Ltd,Renqiu 062550,Hebei Province,China);Application of RBF Neural Network to Forecast Depth of Groundwater Level in Weibin River Wellhead[J];节水灌溉;2012-12
5 DONG Qiguang1,ZHOU Weibo1,LIU Lei1,YUN Tao1,ZHANG Xiangfei1,LIU Xiaoxue2(1.College of Environmental Science and Engineering,Chang'an University,Xi'an 710054,China; 2.Shaanxi Bureau of Groundwater Management Moritoring,Xi'an 710002,China);Application of BP neural network to prediction of groundwater table in Weibei dry highland[J];水资源与水工程学报;2012-04
6 CHEN Hai-tao1,LIANG Fu-shan2(1.North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China;2.Dongbei University of Finance and Economics,Dalian 116023,China);Underground Water Level Prediction Based on Support Vector Machine[J];华北水利水电学院学报;2011-02
7 ZHOU Zhen-min1,ZHAO Ming-liang1,LI Ling2(1.North China Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China;2.The Hydroelectric Vocational College of North China Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China);The Application of GM(1,1) Model to the Prediction of Underground Water Level in the Downstream of the Luanhe River[J];中国农村水利水电;2011-02
8 XU Qiang1,SHU Long-cang1,YANG Gui-lian2,LIU Jin2,YANG Dan2(1.College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;2.Underground Water Monitoring Center,Ministry of Water Resources,Beijing 100053,China);Application of Optimized Wavelet Neural Network Based on Genetic Algorithm in Groundwater Level Prediction[J];水文;2010-01
9 YUAN Xing1,2 and XIE Zheng-Hui1 1 Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 1000292 Graduate University of Chinese Academy of Sciences,Beijing 100049;A Modified Reconstruction Method of Time Series and Its Application in Estimation of Water Table Depth[J];气候与环境研究;2007-04
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 XU Yuanwei;LI Zuoyong;WANG Jiayang;College of Resources and Environment,Chengdu University of Information Technology;;Similar Forecast Models of Underground Water Level Based on Set Pair Analysis[J];水文;2015-06
2 LI Yunpai;LI Na;ZHOU Weibo;College of Environmental Science and Engineering,Chang'an University;Sichuan Electric Power Design & Consulting CO.,LTD;;Study on division of groundwater dynamic type in main urban of xi'an[J];水资源与水工程学报;2015-05
3 MA Cong;College of Environmental Science and Engineering, Chang'an University;Key Laboratory of Subsurface Hydrology and Ecology in Arid Areas Ministry of Education, Chang'an University;;Application of Integrated SARIMA and BP Neural Network for Groundwater Level Forecasting[J];人民珠江;2015-04
4 DONG Yanhui;ZHOU Weibo;MA Donghua;College of Civil & Architecture Engineering,Xi'an Technological University;College of Environment Science and Engineering,Chang'an University;;The variation trend and prediction of the buried depth of confined water in suburb of Xi'an[J];干旱区资源与环境;2015-06
5 Wang Yu;Lu Wenxi;Bian Jianmin;Hou Zeyu;College of Environment and Resources,Jilin University;;Comparison of Three Dynamic Models for Groundwater in Western Jilin and the Application[J];吉林大学学报(地球科学版);2015-03
6 LI Hui;ZHOU Wei-bo;HE Jun-qi;WANG Jin-feng;DONG Qi-guang;DANG Yong-ren;College of Environment Science and Engineering,Chang'an University;Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education,Chang'an University;Research Institute of Water and Development,Chang'an University;Jinghuiqu Irrigation Station of Shaanxi Province;;Research on Regulation and Control of Water Resources on the Basis of Groundwater Reasonable Depth in Jinghui Irrigation District[J];中国农村水利水电;2015-01
7 SONG Yi-fan;GUO Zhong-xiao;LU Ya-jing;XU Xiao-min;Institute of Water Resources Science of Pasturing Area of the Ministry of Water Resources;China Institute of Water Resources and Hydropower Rearch;China Agricultural University;;A GA-WNN time series model for runoff forecasting:taking San Menxia as an example[J];中国水利水电科学研究院学报;2014-04
8 WANG Yu;LU Wen-xi;BIAN Jian-min;HOU Ze-yu;College of Environment and Resources,Jilin University;;Application of Wavelet Neural Network to Predict Shallow Groundwater Depth in Western Jilin Province[J];节水灌溉;2014-12
9 LI Hui;ZHOU Weibo;LIU Boyang;LI Na;MA Cong;School of Environmental Science and Engineering,Chang'an University;Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education,Chang'an University;;Groundwater Depth Prediction Model in Jinghui Irrigation District of RBF Neutral Network Based on Particle Swarm Optimization[J];水电能源科学;2014-08
10 YANG Wei;KONG Wenjing;Department of Computer Science,Wuhan University of Technology;;Research of the Forecast of the Yangtze River Water Level Based on Improved GM(1,1)Model[J];武汉理工大学学报(交通科学与工程版);2014-04
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Du Chao;Xiao Changlai;Lü Jun;Tian Haoran;Songliao Institute of Water Environment Science,Songliao River Basin Water Resources Protection Bureau;College of Environment and Resources,Jilin University;;Development and Application of Real Time Groundwater Quality Prediction System:An Example in Lower Liaohe River Plain[J];吉林大学学报(地球科学版);2014-05
2 Gao Shangpeng;Zhao Qinglu;Shao Zhiheng;Liaocheng Hydrological Bureau;;Research on the Predication of Groundwater Level Based on Regression Analysis[J];地下水;2014-03
3 LI Na;ZHOU Weibo;DONG Qiguang;LI Hui;MA Cong;College of Environmental Science and Engineering,Chang'an University;Key Laboratory of Arid Regions Groundwater Hydrological and Ecological Effects of Ministry of Education;;Groundwater dynamic prediction in irrigation area based on ARIMA Model[J];人民长江;2014-09
4 PENG Ling1,NIU Rui-qing1,YE Run-qing2,ZHAO Yan-nan1(1.Institute of Geophysics and Geomatics,China University of Geosciences,Wuhan 430074,China;2.Headquarters of Prevention and Control of Geo-Hazards in Area of TGR,Yichang 443000,China);Prediction of ground water level in landslides based on genetic-support vector machine[J];中南大学学报(自然科学版);2012-12
5 DONG Yan-hui1,ZHOU Wei-bo2,BU Qing3,YAN Shao-fang3(1.College of Civil & Architecture Engineering,Xi'an Technological University,Xi'an 710032,China; 2.College of Environment Science and Engineering,Chang'an University,Xi'an 710054,China; 3.HCIG Renqiu Thermal Power Co.,Ltd,Renqiu 062550,Hebei Province,China);Application of RBF Neural Network to Forecast Depth of Groundwater Level in Weibin River Wellhead[J];节水灌溉;2012-12
6 ZHUO Zhongwen WANG Shandong YANG Song(School of Earth Sciences and Engineering,Hohai University,Nanjing 210098);Study of Prediction of Mining Groundwater Level Based on BP Neural Network[J];计算机与数字工程;2012-10
7 WU Li-ping,ZHU Chang-jun,Li SHA(College of Urban Construction,Hebei University of Engineering,handan,hebei 056038,china);The Gray Analysis of Xiaonanhai Spring Water Table[J];地下水;2012-02
8 SHAO Min1,2,ZHANG Qi1(1.State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences,Nanjing,Jiangsu 210008,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China);Compled simulation of river water depth and its interactions with groundwater in a spatially distributed hydrological model[J];水文地质工程地质;2012-02
9 ZHANG Xiangfei1,ZHOU Weibo1,YUN Tao1,LIU Xiaoxue2,DONG Qiguang1(1.Chang'an University,Xi'an 710054,China;2.Shaanxi Bureau of Groundwater Management Monitoring,Xi'an 710002,China);Dynamic research on groundwater in Weibei upland[J];水资源与水工程学报;2012-01
10 ZHANG Yu1,LU Wen-xi1,YI Yan-ping2,CHEN She-ming1(1.College of Environment and Resources,Jilin University,Changchun 130026,Jilin Province,China; 2.Jilin Hongli Soil and Water Conservation Consulting Co.,Ltd,Changchun 130033,Jilin Province,China);Groundwater Dynamic Prediction Based on RBFNN[J];节水灌溉;2012-02
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