Improving daily streamflow simulations for data-scarce watersheds using the coupled SWAT-LSTM approach

Patterns and drivers of fecal coliform exports in a typhoon-affected watershed: insights from 10-year observations and SWAT model

(2023) Zheyu Xie et al.   Journal of Cleaner Production

Runoff modeling in ungauged catchments using machine learning algorithm-based model parameters regionalization methodology

(2022) Houfa Wu et al.   Engineering

Parallel cooperation search algorithm and artificial intelligence method for streamflow time series forecasting

(2022) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

Use of interpretable machine learning to identify the factors influencing the nonlinear linkage between land use and river water quality in the Chesapeake Bay watershed

(2022) Zhenyu Zhang et al.   ECOLOGICAL INDICATORS

Predicting Dynamic Riverine Nitrogen Export in Unmonitored Watersheds: Leveraging Insights of AI from Data-Rich Regions

(2022) Rui Xiong et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Machine learning-based estimation of riverine nutrient concentrations and associated uncertainties caused by sampling frequencies

(2022) Shengyue Chen et al.   PLoS One

Algal bloom forecasting with time-frequency analysis: A hybrid deep learning approach

(2022) Muyuan Liu et al.   WATER RESEARCH

Arrangement of watershed from overflowing lookout applying the SWAT prototypical and SUFI-2 (case study: Kasiliyan watershed, Mazandaran Province, Iran)

(2022) Kaveh Ostad-Ali-Askari   Applied Water Science

The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology

(2022) Alban de Lavenne et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Hybrid approach for flood susceptibility assessment in a flood-prone mountainous catchment in China

(2022) Lei Fang et al.   JOURNAL OF HYDROLOGY

Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms

(2022) Prabal Das et al.   WATER RESOURCES MANAGEMENT

Differentiable, Learnable, Regionalized Process‐Based Models With Multiphysical Outputs can Approach State‐Of‐The‐Art Hydrologic Prediction Accuracy

(2022) Dapeng Feng et al.   WATER RESOURCES RESEARCH

Comparison of deep learning models and a typical process-based model in glacio-hydrology simulation

(2022) Xi Chen et al.   JOURNAL OF HYDROLOGY

Transferring Hydrologic Data Across Continents – Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions

(2021) Kai Ma et al.   WATER RESOURCES RESEARCH

Augmenting geophysical interpretation of data-driven operational water supply forecast modeling for a western US river using a hybrid machine learning approach

(2021) Sean W. Fleming et al.   JOURNAL OF HYDROLOGY

Regionalization for ungauged catchments – lessons learned from a comparative large‐sample study

(2021) Sandra Pool et al.   WATER RESOURCES RESEARCH

Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning

(2021) Jared D. Willard et al.   WATER RESOURCES RESEARCH

A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system

(2021) Zeng Chen et al.   JOURNAL OF HYDROLOGY

Bayesian Model Calibration Using Surrogate Streamflow in Ungauged Catchments

(2021) Hae Na Yoon et al.   WATER RESOURCES RESEARCH

High-quality reconstruction of China’s natural streamflow

(2021) Chiyuan Miao et al.   Science Bulletin

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

(2020) Alex Sherstinsky   PHYSICA D-NONLINEAR PHENOMENA

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

SWAT ungauged: Water quality modeling in the Upper Mississippi River Basin

(2020) Junyu Qi et al.   JOURNAL OF HYDROLOGY

A review of SWAT applications, performance and future needs for simulation of hydro-climatic extremes

(2020) Mou Leong Tan et al.   ADVANCES IN WATER RESOURCES

Continuous hydrologic modelling for design simulation in small and ungauged basins: a step forward and some tests for its practical use

(2020) Salvatore Grimaldi et al.   JOURNAL OF HYDROLOGY

Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review

(2020) Yuhan Guo et al.   Wiley Interdisciplinary Reviews-Water

Prediction of dissolved oxygen concentration in aquatic systems based on transfer learning

(2020) Nanyang Zhu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

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

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Added Value of Large Ensemble Simulations for Assessing Extreme River Discharge in a 2 °C Warmer World

(2019) K. Wiel et al.   GEOPHYSICAL RESEARCH LETTERS

Deep learning and transfer learning features for plankton classification

(2019) Alessandra Lumini et al.   Ecological Informatics

Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Process‐Guided Deep Learning Predictions of Lake Water Temperature

(2019) Jordan S. Read et al.   WATER RESOURCES RESEARCH

Modelling ungauged catchments using the catchment runoff response similarity

(2018) Getachew Tegegne et al.   JOURNAL OF HYDROLOGY

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

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

A high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model

(2018) Katie Irving et al.   Scientific Data

Streamflow estimation in ungauged catchments using regionalization techniques

(2017) Janaki Ballav Swain et al.   JOURNAL OF HYDROLOGY

A global-scale investigation of trends in annual maximum streamflow

(2017) Hong X. Do et al.   JOURNAL OF HYDROLOGY

Anthropogenic climate change detected in European renewable freshwater resources

(2017) Lukas Gudmundsson et al.   Nature Climate Change

Coupling SWAT and ANN models for enhanced daily streamflow prediction

(2016) Navideh Noori et al.   JOURNAL OF HYDROLOGY

Potential application of wavelet neural network ensemble to forecast streamflow for flood management

(2016) K.S. Kasiviswanathan et al.   JOURNAL OF HYDROLOGY

An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

(2016) Simone Fatichi et al.   JOURNAL OF HYDROLOGY

A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network

(2016) Greer B. Humphrey et al.   JOURNAL OF HYDROLOGY

Investigations of uncertainty in SWAT hydrologic simulations: a case study of a Canadian Shield catchment

(2015) Congsheng Fu et al.   HYDROLOGICAL PROCESSES

A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model

(2015) K.C. Abbaspour et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Simulation of stream flow components in a mountainous catchment in northern Thailand with SWAT, using the ANSELM calibration approach

(2014) M. A. Bannwarth et al.   HYDROLOGICAL PROCESSES

Assessment of a conceptual hydrological model and artificial neural networks for daily outflows forecasting

(2013) M. Rezaeianzadeh et al.   International Journal of Environmental Science and Technology

Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments

(2008) Ludovic Oudin et al.   WATER RESOURCES RESEARCH