Journal of Hydrology

Papers
(The median citation count of Journal of Hydrology is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
A survey on river water quality modelling using artificial intelligence models: 2000–2020311
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation305
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses225
Ensemble machine learning paradigms in hydrology: A review216
Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting201
Cotransport of heavy metals and SiO2 particles at different temperatures by seepage194
Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)190
Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland187
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs156
Streamflow and rainfall forecasting by two long short-term memory-based models156
Deep learning of subsurface flow via theory-guided neural network149
A review of remote sensing applications for water security: Quantity, quality, and extremes147
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory147
Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization143
Acid mine drainage from coal mining in the United States – An overview138
Long lead-time daily and monthly streamflow forecasting using machine learning methods135
Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting133
Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods130
Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences127
A deep convolutional neural network model for rapid prediction of fluvial flood inundation125
A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds119
XGBoost-based method for flash flood risk assessment116
Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques116
Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model115
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting114
Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts114
Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA114
A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China112
Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation111
Predicting flood susceptibility using LSTM neural networks111
Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography110
Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model105
Groundwater system and climate change: Present status and future considerations103
Climate change impact on short-duration extreme precipitation and intensity–duration–frequency curves over Europe98
Coupling analysis of the heat-water dynamics and frozen depth in a seasonally frozen zone98
A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data96
Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia96
Global data assessment and analysis of drought characteristics based on CMIP696
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping96
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting95
Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization94
Analyses of leakage effect of waterproof curtain during excavation dewatering94
Causes and implications of groundwater depletion in India: A review93
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam91
Forecasting of water level in multiple temperate lakes using machine learning models91
Barrier lake bursting and flood routing in the Yarlung Tsangpo Grand Canyon in October 201890
CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China90
Improving streamflow prediction in the WRF-Hydro model with LSTM networks89
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search89
Comprehensive evaluation of hydrological drought and its relationships with meteorological drought in the Yellow River basin, China89
Root-induced changes of soil hydraulic properties – A review89
Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model-based and satellite-based precipitation produ88
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques88
Water quality prediction using SWAT-ANN coupled approach88
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran88
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination87
Assessment of flash flood risk based on improved analytic hierarchy process method and integrated maximum likelihood clustering algorithm87
A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer87
Root zone soil moisture estimation with Random Forest85
A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction83
Investigating the impacts of climate change and human activities on hydrological drought using non-stationary approaches81
Climate change impacts on water resources in the Upper Blue Nile (Abay) River Basin, Ethiopia80
Adequacy of Satellite-derived Precipitation Estimate for Hydrological Modeling in Vietnam Basins80
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN80
Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach79
Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods78
Evaluating the performance of random forest for large-scale flood discharge simulation78
Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability78
Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors78
Intensification of extreme precipitation in arid Central Asia77
Utilizing GRACE-based groundwater drought index for drought characterization and teleconnection factors analysis in the North China Plain76
Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning75
Regional hydrological frequency analysis at ungauged sites with random forest regression74
Radial basis function artificial neural network (RBF ANN) as well as the hybrid method of RBF ANN and grey relational analysis able to well predict trihalomethanes levels in tap water74
The key drivers for the changes in global water scarcity: Water withdrawal versus water availability73
Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey wolf optimizer algorithm73
Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects73
Flood hazard mapping methods: A review72
Spatial-temporal variations in blue and green water resources, water footprints and water scarcities in a large river basin: A case for the Yellow River basin72
Modelling the impacts of climate and land use change on water security in a semi-arid forested watershed using InVEST72
Impact of land uses, drought, flood, wildfire, and cascading events on water quality and microbial communities: A review and analysis71
A review of the effects of tunnel excavation on the hydrology, ecology, and environment in karst areas: Current status, challenges, and perspectives71
Evidence of shorter more extreme rainfalls and increased flood variability under climate change71
Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning71
Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project71
Impact of land use and urbanization on river water quality and ecology in a dam dominated basin71
Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling71
Runoff changes in the major river basins of China and their responses to potential driving forces70
Impacts of climate change and reservoir operation on streamflow and flood characteristics in the Lancang-Mekong River Basin70
Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling70
Extreme value analysis dilemma for climate change impact assessment on global flood and extreme precipitation70
Potential of RT, bagging and RS ensemble learning algorithms for reference evapotranspiration prediction using climatic data-limited humid region in Bangladesh69
Drought hazard transferability from meteorological to hydrological propagation69
Prediction of estuarine water quality using interpretable machine learning approach67
Crop evapotranspiration prediction by considering dynamic change of crop coefficient and the precipitation effect in back-propagation neural network model66
Urban flood susceptibility assessment based on convolutional neural networks66
Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards66
A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran65
Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach65
A comprehensive evaluation of GPM-IMERG V06 and MRMS with hourly ground-based precipitation observations across Canada65
An integrated experimental design framework for optimizing solute transport monitoring locations in heterogeneous sedimentary media65
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?65
Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hy65
Response of runoff and soil erosion to erosive rainstorm events and vegetation restoration on abandoned slope farmland in the Loess Plateau region, China64
Climatic and associated atmospheric water cycle changes over the Xinjiang, China64
Urban flood disaster risk evaluation based on ontology and Bayesian Network64
A social-ecological coupling model for evaluating the human-water relationship in basins within the Budyko framework64
Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China64
Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions63
Urban flood modeling using deep-learning approaches in Seoul, South Korea63
A hybrid deep learning algorithm and its application to streamflow prediction63
Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model62
Assessment of soil erosion, sediment yield and basin specific controlling factors using RUSLE-SDR and PLSR approach in Konar river basin, India62
Modeling projected impacts of climate and land use/land cover changes on hydrological responses in the Lake Tana Basin, upper Blue Nile River Basin, Ethiopia61
Effects of vegetation restoration on groundwater drought in the Loess Plateau, China61
Estimation of total dissolved solids (TDS) using new hybrid machine learning models61
A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds61
Efficient irrigation water allocation and its impact on agricultural sustainability and water scarcity under uncertainty60
Daily runoff forecasting by deep recursive neural network60
Reconstruction of missing groundwater level data by using Long Short-Term Memory (LSTM) deep neural network60
A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system60
Characterization of agricultural drought propagation over China based on bivariate probabilistic quantification59
Improving daily spatial precipitation estimates by merging gauge observation with multiple satellite-based precipitation products based on the geographically weighted ridge regression method58
Identification of sensitivity indicators of urban rainstorm flood disasters: A case study in China57
Forecasting surface water temperature in lakes: A comparison of approaches56
The importance of short lag-time in the runoff forecasting model based on long short-term memory56
Future hydropower generation prediction of large-scale reservoirs in the upper Yangtze River basin under climate change56
Modeling long-term soil water dynamics in response to land-use change in a semi-arid area55
Impacts of a large river-to-lake water diversion project on lacustrine phytoplankton communities55
Bedload transport rate prediction: Application of novel hybrid data mining techniques55
Investigation about the correlation and propagation among meteorological, agricultural and groundwater droughts over humid and arid/semi-arid basins in China55
Evaluation of severity changes of compound dry and hot events in China based on a multivariate multi-index approach55
A novel hybrid model for water quality prediction based on synchrosqueezed wavelet transform technique and improved long short-term memory55
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity54
Drought propagation in Northern China Plain: A comparative analysis of GLDAS and MERRA-2 datasets54
Continuous hydrologic modelling for design simulation in small and ungauged basins: A step forward and some tests for its practical use54
Real-time water level prediction of cascaded channels based on multilayer perception and recurrent neural network53
Recent global performance of the Climate Hazards group Infrared Precipitation (CHIRP) with Stations (CHIRPS)53
Four decades of wetland changes in Dongting Lake using Landsat observations during 1978–201853
Water infiltration in a cracked soil considering effect of drying-wetting cycles53
Modeling arid/semi-arid irrigated agricultural watersheds with SWAT: Applications, challenges, and solution strategies53
Potential impacts of land use/cover and climate changes on ecologically relevant flows52
Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs52
A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–202052
Development of reservoir operation functions in SWAT+ for national environmental assessments52
Impacts of land-use conversions on the water cycle in a typical watershed in the southern Chinese Loess Plateau52
Evaluating the contributions of climate change and human activities to runoff in typical semi-arid area, China52
Quantifying the effects of climate variability, direct and indirect land use change, and human activities on runoff52
Daily flow duration curve model for ungauged intermittent subbasins of gauged rivers52
Impacts of cascade reservoirs on Yangtze River water temperature: Assessment and ecological implications52
Assessing natural background levels in shallow groundwater in a large semiarid drainage Basin51
Assessment and comparison of five satellite precipitation products in Australia51
U-FLOOD – Topographic deep learning for predicting urban pluvial flood water depth51
Global rainfall erosivity projections for 2050 and 207051
Quantifying the impact of vegetation changes on global terrestrial runoff using the Budyko framework51
Quantitative evaluation of fracture geometry influence on nonlinear flow in a single rock fracture51
Correcting mean areal precipitation forecasts to improve urban flooding predictions by using long short-term memory network50
Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models50
A critical review of real-time modelling of flood forecasting in urban drainage systems50
Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series prediction50
Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones50
Frequency change of future extreme summer meteorological and hydrological droughts over North America50
A global perspective on the probability of propagation of drought: From meteorological to soil moisture50
A new copula-based standardized precipitation evapotranspiration streamflow index for drought monitoring50
The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties49
Comparison of fluvial and pluvial flood risk curves in urban cities derived from a large ensemble climate simulation dataset: A case study in Nagoya, Japan49
Drought modeling using classic time series and hybrid wavelet-gene expression programming models49
Simulation of quasi-static drainage displacement in porous media on pore-scale: Coupling lattice Boltzmann method and pore network model49
Satellite image-based investigation of the seasonal variations in the hydrological connectivity of a large floodplain (Poyang Lake, China)49
River water temperature forecasting using a deep learning method49
Past, present, and future of global seawater intrusion research: A bibliometric analysis48
Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships48
Impact assessment of climate change and human activities on streamflow signatures in the Yellow River Basin using the Budyko hypothesis and derived differential equation48
Change points in annual peak streamflows: Method comparisons and historical change points in the United States48
Detecting and mapping irrigated areas in a Mediterranean environment by using remote sensing soil moisture and a land surface model48
Sensitivity of urban flood simulations to stormwater infrastructure and soil infiltration48
Spatial and temporal patterns of propagation from meteorological to hydrological droughts in Brazil48
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study48
Critical drought severity/intensity-duration-frequency curves based on precipitation deficit48
How does precipitation recharge groundwater in loess aquifers? Evidence from multiple environmental tracers48
Employing extreme value theory to establish nutrient criteria in bay waters: A case study of Xiangshan Bay48
Using cluster analysis for understanding spatial and temporal patterns and controlling factors of groundwater geochemistry in a regional aquifer47
A rational performance criterion for hydrological model47
Estimating annual runoff in response to forest change: A statistical method based on random forest47
Don’t blame the rain: Social power and the 2015–2017 drought in Cape Town47
Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China47
Unraveling influences of nitrogen cycling on arsenic enrichment in groundwater from the Hetao Basin using geochemical and multi-isotopic approaches47
Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models47
Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts46
Quantification and division of unfrozen water content during the freezing process and the influence of soil properties by low-field nuclear magnetic resonance46
Soil water erosion susceptibility assessment using deep learning algorithms46
An integrated simulation-optimization framework to optimize the reservoir operation adapted to climate change scenarios46
Performance assessment of sponge city infrastructure on stormwater outflows using isochrone and SWMM models46
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis46
Identification of hydrogeochemical processes and transport paths of a multi-aquifer system in closed mining regions45
Integrated variable weight model and improved DRASTIC model for groundwater vulnerability assessment in a shallow porous aquifer45
Long short-term memory neural network (LSTM-NN) for aquifer level time series forecasting using in-situ piezometric observations45
An upscaling approach to predict mine water inflow from roof sandstone aquifers45
A comprehensive comparison of four input variable selection methods for artificial neural network flow forecasting models45
Development of a comprehensive framework for assessing the impacts of climate change and dam construction on flow regimes45
What if the rains do not come?45
Identifying drought propagation by simultaneously considering linear and nonlinear dependence in the Wei River basin of the Loess Plateau, China45
How reliable are the evapotranspiration estimates by Soil and Water Assessment Tool (SWAT) and Variable Infiltration Capacity (VIC) models for catchment-scale drought assessment and irrigation plannin45
Water scarcity-risk assessment in data-scarce river basins under decadal climate change using a hydrological modelling approach45
Budyko framework; towards non-steady state conditions44
Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment44
Artificial neural network based hybrid modeling approach for flood inundation modeling44
Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation44
Evaluation of typical methods for baseflow separation in the contiguous United States44
Assessment of the vulnerability of road networks to urban waterlogging based on a coupled hydrodynamic model44
Agent-based modelling and flood risk management: A compendious literature review44
A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction44
Using t-distributed Stochastic Neighbor Embedding (t-SNE) for cluster analysis and spatial zone delineation of groundwater geochemistry data44
Comparison of eight filter-based feature selection methods for monthly streamflow forecasting – Three case studies on CAMELS data sets44
Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index43
Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models43
Analyzing farmers' drought risk management behavior: Evidence from Iran43
Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China43
Sustainable stormwater management under the impact of climate change and urban densification43
Drought monitoring using high spatial resolution soil moisture data over Australia in 2015–201943
Identifying the main drivers of change of phytoplankton community structure and gross primary productivity in a river-lake system43
Insights of variable permeability full-section wall for enhanced control of seawater intrusion and nitrate contamination in unconfined aquifers43
Mechanisms of nitrate accumulation in highly urbanized rivers: Evidence from multi-isotopes in the Pearl River Delta, China42
Simulation of karst spring discharge using a combination of time–frequency analysis methods and long short-term memory neural networks42
Water and sediment yield response to extreme rainfall events in a complex large river basin: A case study of the Yellow River Basin, China42
Study on the coupled heat-water-vapor-mechanics process of unsaturated soils42
Groundwater contamination source identification based on a hybrid particle swarm optimization-extreme learning machine42
Critical review of measures and decision support tools for groundwater nitrate management: A surface-to-groundwater profile perspective42
The relative contribution of vegetation greening to the hydrological cycle in the Three-North region of China: A modelling analysis42
Evaluation of the performance of Euro-CORDEX Regional Climate Models for assessing hydrological climate change impacts in Great Britain: A comparison of different spatial resolutions and quantile mapp42
Hydrogeochemical characteristics and processes of groundwater in an over 2260 year irrigation district: A comparison between irrigated and nonirrigated areas42
A systematic bibliometric review of optimization and resilience within low impact development stormwater management practices41
Interpolated or satellite-based precipitation? Implications for hydrological modeling in a meso-scale mountainous watershed on the Qinghai-Tibet Plateau41
Spatiotemporal variability of Indian rainfall using multiscale entropy41
Hydrological evaluation of merged satellite precipitation datasets for streamflow simulation using SWAT: A case study of Potohar Plateau, Pakistan41
Variation of the stable isotopes of water in the soil-plant-atmosphere continuum of a Cinnamomum camphora woodland in the East Asian monsoon region41
Soil infiltration properties affected by typical plant communities on steep gully slopes on the Loess Plateau of China41
Long-term changes in evapotranspiration over China and attribution to climatic drivers during 1980–201041
Social, economic and environmental assessment of urban sub-catchment flood risks using a multi-criteria approach: A case study in Mumbai City, India41
River discharge estimation from radar altimetry: Assessment of satellite performance, river scales and methods40
Partitioning the contributions of glacier melt and precipitation to the 1971–2010 runoff increases in a headwater basin of the Tarim River40
Temporal evolution of measured and simulated infiltration following wildfire in the Colorado Front Range, USA: Shifting thresholds of runoff generation and hydrologic hazards40
Future projection of seasonal drought characteristics using CMIP6 in the Lancang-Mekong River Basin40
A novel deep neural network architecture for real-time water demand forecasting40
Multi-station runoff-sediment modeling using seasonal LSTM models40
Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer40
Flow resistance of floodplain vegetation mixtures for modelling river flows40
Drought propagation modification after the construction of the Three Gorges Dam in the Yangtze River Basin40
Limitation of soil moisture on the response of transpiration to vapor pressure deficit in a subtropical coniferous plantation subjected to seasonal drought40
Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modeling40
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