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Long-term scheduling of large cascade hydropower stations in Jinsha River, China
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Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China
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Predicting residential energy consumption using CNN-LSTM neural networks
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Changes in hydrologic regime by dams
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Sediment load responses to climate variation and cascade reservoirs in the Yangtze River: A case study of the Jinsha River
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Reservoir-induced hydrological changes in the Ebro River basin (NE Spain)
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Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California
inferredcites →https://doi.org/10.1016/j.jhydrol.2006.06.008openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jhydrol.2012.01.042openalex-extracted
Flood management selections for the Yangtze River midstream after the Three Gorges Project operation
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.01.004openalex-extracted
Impact of climate change on hydrology of upper reaches of Qiantang River Basin, East China
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.01.008openalex-extracted
Impacts of land use change on watershed streamflow and sediment yield: An assessment using hydrologic modelling and partial least squares regression
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.01.041openalex-extracted
Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed
inferredcites →https://doi.org/10.1016/j.jhydrol.2015.05.029openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jhydrol.2017.02.008openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jhydrol.2017.11.018openalex-extracted
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Temporal variations of runoff and sediment load in the upper Yellow River, China
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Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.124003openalex-extracted
A general framework of design flood estimation for cascade reservoirs in operation period
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Changing runoff due to temperature and precipitation variations in the dammed Jinsha River
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Improved hydrological modelling of urban catchments using runoff coefficients
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Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting
inferredcites →https://doi.org/10.1016/j.jhydrol.2021.126672openalex-extracted
Multi-station runoff-sediment modeling using seasonal LSTM models
inferredcites →https://doi.org/10.1016/j.jhydrol.2023.129732openalex-extracted
Daily suspended sediment concentration forecast in the upper reach of Yellow River using a comprehensive integrated deep learning model
inferredcites →https://doi.org/10.1016/j.jhydrol.2023.129977openalex-extracted
An ensemble CNN-LSTM and GRU adaptive weighting model based improved sparrow search algorithm for predicting runoff using historical meteorological and runoff data as input
inferredcites →https://doi.org/10.1016/j.knosys.2018.07.006openalex-extracted
Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems
inferredcites →https://doi.org/10.1016/j.rser.2017.03.023openalex-extracted
Present situation and future prospect of renewable energy in China
inferredcites →https://doi.org/10.1016/j.scitotenv.2014.01.008openalex-extracted
Effects of storm runoff on the thermal regime and water quality of a deep, stratified reservoir in a temperate monsoon zone, in Northwest China
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.03.132openalex-extracted
Evaluation of stream water quality data generated from MODIS images in modeling total suspended solid emission to a freshwater lake
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.06.210openalex-extracted
Contributions of climate change and human activities to runoff change in seven typical catchments across China
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.07.002openalex-extracted
Assessing natural and anthropogenic influences on water discharge and sediment load in the Yangtze River, China
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.07.318openalex-extracted
Using a hierarchical model framework to assess climate change and hydropower operation impacts on the habitat of an imperiled fish in the Jinsha River, China
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.134574openalex-extracted
Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion
inferredcites →https://doi.org/10.1016/s0022-1694(01)00496-6openalex-extracted
Process controls of water balance variability in a large semi-arid catchment: downward approach to hydrological model development
inferredcites →https://doi.org/10.1029/2004wr003439openalex-extracted
Linking flood frequency to long‐term water balance: Incorporating effects of seasonality
inferredcites →https://doi.org/10.1029/2018wr023866openalex-extracted
Reservoir Effects on Flood Peak Discharge at the Catchment Scale
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Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales
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Quantifying Dam‐Induced Fluctuations in Streamflow Frequencies Across the Colorado River Basin
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Controls on the Spatial and Temporal Patterns of Rainfall‐Runoff Event Characteristics—A Large Sample of Catchments Across Great Britain
inferredcites →https://doi.org/10.1029/2022wr033893openalex-extracted
National‐Scale Detection of Reservoir Impacts Through Hydrological Signatures
inferredcites →https://doi.org/10.1038/ngeo2602openalex-extracted
Reduced sediment transport in the Yellow River due to anthropogenic changes
inferredcites →https://doi.org/10.1080/02626667.2014.978332openalex-extracted
Comparing calibrated parameter sets of the SWAT model for the Scandinavian and Iberian peninsulas
inferredcites →https://doi.org/10.1109/tgrs.2018.2872131openalex-extracted
The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning
inferredcites →https://doi.org/10.1111/1752-1688.12482openalex-extracted
Introduction to SWAT +, A Completely Restructured Version of the Soil and Water Assessment Tool
inferredcites →https://doi.org/10.1111/j.1752-1688.1998.tb05961.xopenalex-extracted
LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1
inferredcites →https://doi.org/10.1609/aaai.v35i12.17325openalex-extracted
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
inferredcites →https://doi.org/10.25165/ijabe.v8i3.1763openalex-extracted
IJABE SWAT Special Issue: Innovative modeling solutions for water resource problems
inferredcites →https://doi.org/10.3389/fphy.2021.790687openalex-extracted
Application of Long Short-Term Memory (LSTM) on the Prediction of Rainfall-Runoff in Karst Area
inferredcites →https://doi.org/10.3390/s18072220openalex-extracted
A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities
inferredcites →https://doi.org/10.3390/w10060748openalex-extracted
Evolution of Surface Hydrology in the Sahelo-Sudanian Strip: An Updated Review
inferredcites →https://doi.org/10.5194/hess-16-2801-2012openalex-extracted
SWAT use of gridded observations for simulating runoff – a Vietnam river basin study
inferredcites →https://doi.org/10.5194/hess-17-3189-2013openalex-extracted
Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates
inferredcites →https://doi.org/10.5194/hess-18-3069-2014openalex-extracted
Quantitative contribution of climate change and human activities to runoff changes in the Wei River basin, China
inferredcites →https://doi.org/10.5194/hess-22-5639-2018openalex-extracted
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
inferredcites →https://doi.org/10.5194/hess-25-5517-2021openalex-extracted
Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models
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