Data-driven models for accurate groundwater level prediction and their practical significance in groundwater management
出版年份 2022 全文链接
标题
Data-driven models for accurate groundwater level prediction and their practical significance in groundwater management
作者
关键词
-
出版物
JOURNAL OF HYDROLOGY
Volume -, Issue -, Pages 127630
出版商
Elsevier BV
发表日期
2022-02-18
DOI
10.1016/j.jhydrol.2022.127630
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms
- (2020) Zaher Mundher Yaseen et al. WATER RESOURCES MANAGEMENT
- A comparative study among machine learning and numerical models for simulating groundwater dynamics in the Heihe River Basin, northwestern China
- (2020) Chong Chen et al. Scientific Reports
- Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods
- (2020) María Castrillo et al. WATER RESEARCH
- A comprehensive review of deep learning applications in hydrology and water resources
- (2020) Muhammed Sit et al. WATER SCIENCE AND TECHNOLOGY
- South-to-North Water Diversion stabilizing Beijing’s groundwater levels
- (2020) Di Long et al. Nature Communications
- How can big data and machine learning benefit environment and water management: A survey of methods, applications, and future directions
- (2019) Alexander Y. Sun et al. Environmental Research Letters
- Numerical studies on the influences of the South-to-North Water Transfer Project on groundwater level changes in the Beijing Plain, China
- (2018) Menglin Zhang et al. HYDROLOGICAL PROCESSES
- Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
- (2018) Jianfeng Zhang et al. JOURNAL OF HYDROLOGY
- Statistical Downscaling of GRACE-Derived Groundwater Storage Using ET Data in the North China Plain
- (2018) Wenjie Yin et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- A trans-disciplinary review of deep learning research and its relevance for water resources scientists
- (2018) Chaopeng Shen WATER RESOURCES RESEARCH
- Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China
- (2018) Beibei Chen et al. International Journal of Applied Earth Observation and Geoinformation
- Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics
- (2017) Alessandra Menafoglio et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Groundwater depletion embedded in international food trade
- (2017) Carole Dalin et al. NATURE
- Unanswered questions for implementation of the Sustainable Groundwater Management Act
- (2016) Michael Kiparsky CALIFORNIA AGRICULTURE
- Development of a river-groundwater interaction model and its application to a catchment in Northwestern China
- (2016) Litang Hu et al. JOURNAL OF HYDROLOGY
- Climatic impacts of the Middle Route of the South-to-North Water Transfer Project over the Haihe River basin in North China simulated by a regional climate model
- (2016) Jing Zou et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Land subsidence due to groundwater withdrawal in the northern Beijing plain, China
- (2015) Lin Zhu et al. ENGINEERING GEOLOGY
- Calibration of a large-scale groundwater flow model using GRACE data: a case study in the Qaidam Basin, China
- (2015) Litang Hu et al. HYDROGEOLOGY JOURNAL
- Beijing's Water Resources: Challenges and Solutions
- (2015) Jianhua Wang et al. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
- Uncertainty in global groundwater storage estimates in a Total Groundwater Stress framework
- (2015) Alexandra S. Richey et al. WATER RESOURCES RESEARCH
- A Stochastic Modelling Technique for Groundwater Level Forecasting in an Arid Environment Using Time Series Methods
- (2014) Mohammad Mirzavand et al. WATER RESOURCES MANAGEMENT
- Global-scale assessment of groundwater depletion and related groundwater abstractions: Combining hydrological modeling with information from well observations and GRACE satellites
- (2014) Petra Döll et al. WATER RESOURCES RESEARCH
- The global groundwater crisis
- (2014) J. S. Famiglietti Nature Climate Change
- Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment
- (2013) Sasmita Sahoo et al. HYDROGEOLOGY JOURNAL
- Application of artificial neural networks for water quality prediction
- (2012) A. Najah et al. NEURAL COMPUTING & APPLICATIONS
- Influence of South to North Water Transfer on groundwater dynamic change in Beijing plain
- (2011) Yong Yang et al. Environmental Earth Sciences
- Groundwater simulation using a numerical model under different water resources management scenarios in an arid region of China
- (2010) Shaoyuan Feng et al. Environmental Earth Sciences
- Predictive models for forecasting hourly urban water demand
- (2010) Manuel Herrera et al. JOURNAL OF HYDROLOGY
- A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer
- (2010) Heesung Yoon et al. JOURNAL OF HYDROLOGY
- Application of integrated back-propagation network and self organizing map for flood forecasting
- (2009) Chao-Chung Yang et al. HYDROLOGICAL PROCESSES
- Forecasting of groundwater level in hard rock region using artificial neural network
- (2009) Pallavi Banerjee et al. Environmental geology.
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now