Unravelling groundwater time series patterns: Visual analytics-aided deep learning in the Namoi region of Australia

Comparison of physical and data-driven models to forecast groundwater level changes with the inclusion of GRACE – A case study over the state of Victoria, Australia

(2021) Wenjie Yin et al.   JOURNAL OF HYDROLOGY

Stochastic simulation on reproducing long-term memory of hydroclimatological variables using deep learning model

(2020) Taesam Lee et al.   JOURNAL OF HYDROLOGY

Tools for enhancing the application of self-organizing maps in water resources research and engineering

(2020) Stephanie Clark et al.   ADVANCES IN WATER RESOURCES

Groundwater system and climate change: Present status and future considerations

(2020) Amobichukwu C. Amanambu et al.   JOURNAL OF HYDROLOGY

What Role Does Hydrological Science Play in the Age of Machine Learning?

(2020) Grey S. Nearing et al.   WATER RESOURCES RESEARCH

A review of the artificial intelligence methods in groundwater level modeling

(2019) Taher Rajaee et al.   JOURNAL OF HYDROLOGY

Comparative applications of data-driven models representing water table fluctuations

(2019) Jina Jeong et al.   JOURNAL OF HYDROLOGY

Forecasting Groundwater Table in a Flood Prone Coastal City with Long Short-term Memory and Recurrent Neural Networks

(2019) Benjamin D. Bowes et al.   Water

Groundwater Recharge Prediction Using Linear Regression, Multi-Layer Perception Network, and Deep Learning

(2019) Xin Huang et al.   Water

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach

(2019) Kasun Bandara et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

Using artificial neural network models for groundwater level forecasting and assessment of the relative impacts of influencing factors

(2018) Sanghoon Lee et al.   HYDROGEOLOGY JOURNAL

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Groundwater recharge and time lag measurement through Vertosols using impulse response functions

(2016) Mark Hocking et al.   JOURNAL OF HYDROLOGY

Implications of projected climate change for groundwater recharge in the western United States

(2016) Thomas Meixner et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

A reassessment of the Lower Namoi Catchment aquifer architecture and hydraulic connectivity with reference to climate drivers

(2014) B. F. J. Kelly et al.   AUSTRALIAN JOURNAL OF EARTH SCIENCES

Accounting for surface–groundwater interactions and their uncertainty in river and groundwater models: A case study in the Namoi River, Australia

(2013) David W. Rassam et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparative evaluation of numerical model and artificial neural network for simulating groundwater flow in Kathajodi–Surua Inter-basin of Odisha, India

(2013) S. Mohanty et al.   JOURNAL OF HYDROLOGY

Aquifer heterogeneity and response time: the challenge for groundwater management

(2013) B. F. J. Kelly et al.   Crop & Pasture Science

Essentials of the self-organizing map

(2012) Teuvo Kohonen   NEURAL NETWORKS

Beneath the surface of global change: Impacts of climate change on groundwater

(2011) Timothy R. Green et al.   JOURNAL OF HYDROLOGY