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 2020-07-01 to 2024-07-01.)
ArticleCitations
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation336
Ensemble machine learning paradigms in hydrology: A review249
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses243
Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland211
Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)209
Cotransport of heavy metals and SiO2 particles at different temperatures by seepage203
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs166
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory162
Acid mine drainage from coal mining in the United States – An overview158
Long lead-time daily and monthly streamflow forecasting using machine learning methods149
XGBoost-based method for flash flood risk assessment149
Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation142
A deep convolutional neural network model for rapid prediction of fluvial flood inundation142
Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods140
Predicting flood susceptibility using LSTM neural networks128
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting126
A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds123
Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques120
Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model120
Groundwater system and climate change: Present status and future considerations116
Global data assessment and analysis of drought characteristics based on CMIP6111
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting110
Causes and implications of groundwater depletion in India: A review109
Climate change impact on short-duration extreme precipitation and intensity–duration–frequency curves over Europe108
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam108
A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data106
Root-induced changes of soil hydraulic properties – A review105
Improving streamflow prediction in the WRF-Hydro model with LSTM networks105
Root zone soil moisture estimation with Random Forest105
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran104
CatBoost: A new approach for estimating daily reference crop evapotranspiration in arid and semi-arid regions of Northern China102
Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization101
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search101
Coupling analysis of the heat-water dynamics and frozen depth in a seasonally frozen zone100
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques97
A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction97
A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer97
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination95
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 produ95
Flood hazard mapping methods: A review94
Water quality prediction using SWAT-ANN coupled approach94
Evaluating the performance of random forest for large-scale flood discharge simulation94
Climate change impacts on water resources in the Upper Blue Nile (Abay) River Basin, Ethiopia92
Intensification of extreme precipitation in arid Central Asia90
The key drivers for the changes in global water scarcity: Water withdrawal versus water availability89
Investigating the impacts of climate change and human activities on hydrological drought using non-stationary approaches89
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 water88
Impact of land uses, drought, flood, wildfire, and cascading events on water quality and microbial communities: A review and analysis88
Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach88
Regional hydrological frequency analysis at ungauged sites with random forest regression86
Adequacy of Satellite-derived Precipitation Estimate for Hydrological Modeling in Vietnam Basins85
Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability85
Runoff changes in the major river basins of China and their responses to potential driving forces84
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN83
Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors83
A review of the effects of tunnel excavation on the hydrology, ecology, and environment in karst areas: Current status, challenges, and perspectives82
Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods82
Evidence of shorter more extreme rainfalls and increased flood variability under climate change81
Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects80
Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling79
Prediction of estuarine water quality using interpretable machine learning approach79
Impacts of climate change and reservoir operation on streamflow and flood characteristics in the Lancang-Mekong River Basin78
Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project78
Modelling the impacts of climate and land use change on water security in a semi-arid forested watershed using InVEST78
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 hy77
Extreme value analysis dilemma for climate change impact assessment on global flood and extreme precipitation77
Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey wolf optimizer algorithm76
Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning76
A hybrid deep learning algorithm and its application to streamflow prediction76
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 basin75
Urban flood modeling using deep-learning approaches in Seoul, South Korea75
Potential of RT, bagging and RS ensemble learning algorithms for reference evapotranspiration prediction using climatic data-limited humid region in Bangladesh75
Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions74
Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling74
Urban flood susceptibility assessment based on convolutional neural networks74
Crop evapotranspiration prediction by considering dynamic change of crop coefficient and the precipitation effect in back-propagation neural network model73
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?72
A social-ecological coupling model for evaluating the human-water relationship in basins within the Budyko framework70
Reconstruction of missing groundwater level data by using Long Short-Term Memory (LSTM) deep neural network70
Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards69
Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach69
An integrated experimental design framework for optimizing solute transport monitoring locations in heterogeneous sedimentary media69
Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China69
Effects of vegetation restoration on groundwater drought in the Loess Plateau, China69
Characterization of agricultural drought propagation over China based on bivariate probabilistic quantification69
A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system68
A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran68
Efficient irrigation water allocation and its impact on agricultural sustainability and water scarcity under uncertainty67
Estimation of total dissolved solids (TDS) using new hybrid machine learning models67
Daily runoff forecasting by deep recursive neural network66
Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model66
A comprehensive evaluation of GPM-IMERG V06 and MRMS with hourly ground-based precipitation observations across Canada66
Modeling projected impacts of climate and land use/land cover changes on hydrological responses in the Lake Tana Basin, upper Blue Nile River Basin, Ethiopia66
Investigation about the correlation and propagation among meteorological, agricultural and groundwater droughts over humid and arid/semi-arid basins in China65
A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds65
Global rainfall erosivity projections for 2050 and 207065
Assessment of soil erosion, sediment yield and basin specific controlling factors using RUSLE-SDR and PLSR approach in Konar river basin, India65
Recent global performance of the Climate Hazards group Infrared Precipitation (CHIRP) with Stations (CHIRPS)63
Identification of sensitivity indicators of urban rainstorm flood disasters: A case study in China63
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study62
The importance of short lag-time in the runoff forecasting model based on long short-term memory62
A critical review of real-time modelling of flood forecasting in urban drainage systems62
Drought propagation in Northern China Plain: A comparative analysis of GLDAS and MERRA-2 datasets62
Improving daily spatial precipitation estimates by merging gauge observation with multiple satellite-based precipitation products based on the geographically weighted ridge regression method61
Past, present, and future of global seawater intrusion research: A bibliometric analysis61
Water infiltration in a cracked soil considering effect of drying-wetting cycles61
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity60
Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs60
Modeling arid/semi-arid irrigated agricultural watersheds with SWAT: Applications, challenges, and solution strategies59
Impacts of cascade reservoirs on Yangtze River water temperature: Assessment and ecological implications59
Impacts of land-use conversions on the water cycle in a typical watershed in the southern Chinese Loess Plateau58
River water temperature forecasting using a deep learning method58
A novel hybrid model for water quality prediction based on synchrosqueezed wavelet transform technique and improved long short-term memory58
Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships58
Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models58
Four decades of wetland changes in Dongting Lake using Landsat observations during 1978–201858
Impacts of a large river-to-lake water diversion project on lacustrine phytoplankton communities58
Future hydropower generation prediction of large-scale reservoirs in the upper Yangtze River basin under climate change58
Spatial and temporal patterns of propagation from meteorological to hydrological droughts in Brazil57
A rational performance criterion for hydrological model57
U-FLOOD – Topographic deep learning for predicting urban pluvial flood water depth57
A global perspective on the probability of propagation of drought: From meteorological to soil moisture57
Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts56
Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment56
Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China56
Evaluating the contributions of climate change and human activities to runoff in typical semi-arid area, China55
Continuous hydrologic modelling for design simulation in small and ungauged basins: A step forward and some tests for its practical use55
Quantitative evaluation of fracture geometry influence on nonlinear flow in a single rock fracture55
Quantification and division of unfrozen water content during the freezing process and the influence of soil properties by low-field nuclear magnetic resonance55
Drought modeling using classic time series and hybrid wavelet-gene expression programming models54
A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–202054
Assessment and comparison of five satellite precipitation products in Australia54
Sensitivity of urban flood simulations to stormwater infrastructure and soil infiltration54
Daily flow duration curve model for ungauged intermittent subbasins of gauged rivers54
Performance assessment of sponge city infrastructure on stormwater outflows using isochrone and SWMM models53
Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation53
Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones53
Simulation of quasi-static drainage displacement in porous media on pore-scale: Coupling lattice Boltzmann method and pore network model53
Impact assessment of climate change and human activities on streamflow signatures in the Yellow River Basin using the Budyko hypothesis and derived differential equation53
Identification of hydrogeochemical processes and transport paths of a multi-aquifer system in closed mining regions52
Quantifying the impact of vegetation changes on global terrestrial runoff using the Budyko framework52
Assessment of the vulnerability of road networks to urban waterlogging based on a coupled hydrodynamic model52
Agent-based modelling and flood risk management: A compendious literature review52
Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series prediction52
Artificial neural network based hybrid modeling approach for flood inundation modeling52
Soil water erosion susceptibility assessment using deep learning algorithms52
Predicting mine water inrush accidents based on water level anomalies of borehole groups using long short-term memory and isolation forest51
Unraveling influences of nitrogen cycling on arsenic enrichment in groundwater from the Hetao Basin using geochemical and multi-isotopic approaches51
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis51
The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties51
Hydrogeochemical characteristics and processes of groundwater in an over 2260 year irrigation district: A comparison between irrigated and nonirrigated areas51
Integrated variable weight model and improved DRASTIC model for groundwater vulnerability assessment in a shallow porous aquifer50
Don’t blame the rain: Social power and the 2015–2017 drought in Cape Town50
Drought monitoring using high spatial resolution soil moisture data over Australia in 2015–201950
Long short-term memory neural network (LSTM-NN) for aquifer level time series forecasting using in-situ piezometric observations50
Detecting and mapping irrigated areas in a Mediterranean environment by using remote sensing soil moisture and a land surface model50
Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China50
Short-term rainfall forecasting using machine learning-based approaches of PSO-SVR, LSTM and CNN50
Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models50
Identifying drought propagation by simultaneously considering linear and nonlinear dependence in the Wei River basin of the Loess Plateau, China49
Variation of the stable isotopes of water in the soil-plant-atmosphere continuum of a Cinnamomum camphora woodland in the East Asian monsoon region49
Water scarcity-risk assessment in data-scarce river basins under decadal climate change using a hydrological modelling approach49
Employing extreme value theory to establish nutrient criteria in bay waters: A case study of Xiangshan Bay49
An integrated simulation-optimization framework to optimize the reservoir operation adapted to climate change scenarios49
An upscaling approach to predict mine water inflow from roof sandstone aquifers49
Estimating annual runoff in response to forest change: A statistical method based on random forest49
Long-term changes in evapotranspiration over China and attribution to climatic drivers during 1980–201048
Limitation of soil moisture on the response of transpiration to vapor pressure deficit in a subtropical coniferous plantation subjected to seasonal drought48
Responses of carbon and water use efficiencies to climate and land use changes in China's karst areas48
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 plannin48
Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index48
A short-term flood prediction based on spatial deep learning network: A case study for Xi County, China48
A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction47
Development of a comprehensive framework for assessing the impacts of climate change and dam construction on flow regimes47
Drought propagation modification after the construction of the Three Gorges Dam in the Yangtze River Basin47
Sustainable stormwater management under the impact of climate change and urban densification47
What if the rains do not come?47
Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer47
Social, economic and environmental assessment of urban sub-catchment flood risks using a multi-criteria approach: A case study in Mumbai City, India47
Insights of variable permeability full-section wall for enhanced control of seawater intrusion and nitrate contamination in unconfined aquifers47
Budyko framework; towards non-steady state conditions46
Spatiotemporal variability of Indian rainfall using multiscale entropy46
Drought-flood abrupt alternation dynamics and their potential driving forces in a changing environment46
The relative contribution of vegetation greening to the hydrological cycle in the Three-North region of China: A modelling analysis46
Comparison of eight filter-based feature selection methods for monthly streamflow forecasting – Three case studies on CAMELS data sets46
Critical review of measures and decision support tools for groundwater nitrate management: A surface-to-groundwater profile perspective46
Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques45
Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach45
Understanding the relationship between rainfall and flood probabilities through combined intensity-duration-frequency analysis45
Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models45
Analyzing farmers' drought risk management behavior: Evidence from Iran45
Data-driven models for accurate groundwater level prediction and their practical significance in groundwater management45
Water and sediment yield response to extreme rainfall events in a complex large river basin: A case study of the Yellow River Basin, China45
Classification and trends in intermittent river flow regimes in Australia, northwestern Europe and USA: A global perspective45
Simulation of karst spring discharge using a combination of time–frequency analysis methods and long short-term memory neural networks45
Dissolved oxygen concentration predictions for running waters with different land use land cover using a quantile regression forest machine learning technique45
Hydrological evaluation of merged satellite precipitation datasets for streamflow simulation using SWAT: A case study of Potohar Plateau, Pakistan44
A systematic bibliometric review of optimization and resilience within low impact development stormwater management practices44
Hydrochemical and isotopic interpretation of interactions between surface water and groundwater in Delingha, Northwest China44
Climate change and its impact on the projected values of groundwater recharge: A review44
A novel water body extraction neural network (WBE-NN) for optical high-resolution multispectral imagery44
Dynamic variations in soil moisture in an epikarst fissure in the karst rocky desertification area44
Future projection of seasonal drought characteristics using CMIP6 in the Lancang-Mekong River Basin44
Comprehensive evaluation of precipitation datasets over Iran44
Soil water retention in alpine meadows under different degradation stages on the northeastern Qinghai-Tibet Plateau44
Multi-objective optimization for stormwater management by green-roofs and infiltration trenches to reduce urban flooding in central Delhi44
A robust deep learning workflow to predict multiphase flow behavior during geological C<44
Flow resistance of floodplain vegetation mixtures for modelling river flows44
A novel deep neural network architecture for real-time water demand forecasting44
Directed graph deep neural network for multi-step daily streamflow forecasting43
Assessment of groundwater quality in a Brazilian semiarid basin using an integration of GIS, water quality index and multivariate statistical techniques43
Mechanisms of nitrate accumulation in highly urbanized rivers: Evidence from multi-isotopes in the Pearl River Delta, China43
Analysis of the impact of the South-to-North water diversion project on water balance and land subsidence in Beijing, China between 2007 and 202043
Soil infiltration properties affected by typical plant communities on steep gully slopes on the Loess Plateau of China43
Using t-distributed Stochastic Neighbor Embedding (t-SNE) for cluster analysis and spatial zone delineation of groundwater geochemistry data43
Combining two-stage decomposition based machine learning methods for annual runoff forecasting43
Seamless downscaling of the ESA CCI soil moisture data at the daily scale with MODIS land products42
Using a linear discriminant analysis (LDA)-based nomenclature system and self-organizing maps (SOM) for spatiotemporal assessment of groundwater quality in a coastal aquifer42
Effects of the morphological characteristics of plants on rainfall interception and kinetic energy42
The development of groundwater research in the past 40 years: A burgeoning trend in groundwater depletion and sustainable management42
Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture42
Soil erosion in future scenario using CMIP5 models and earth observation datasets42
Development and testing of a modified SWAT model based on slope condition and precipitation intensity42
Coupling random forest and inverse distance weighting to generate climate surfaces of precipitation and temperature with Multiple-Covariates42
Variations of groundwater storage in different basins of China over recent decades42
Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modeling42
Evaluation of nine sub-daily soil moisture model products over China using high-resolution in situ observations42
Short-term runoff prediction using deep learning multi-dimensional ensemble method42
Satellite observed spatiotemporal variability of snow cover and snow phenology over high mountain Asia from 2002 to 202141
Multi-station runoff-sediment modeling using seasonal LSTM models41
Flood vulnerability and resilience assessment in China based on super-efficiency DEA and SBM-DEA methods41
Separating the effects of climate change and human activities on drought propagation via a natural and human-impacted catchment comparison method41
Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap41
Hydraulic modelling of inland urban flooding: Recent advances41
Climate change impact assessment on pluvial flooding using a distribution-based bias correction of regional climate model simulations41
Forty-year water body changes in Poyang Lake and the ecological impacts based on Landsat and HJ-1 A/B observations41
Identification of the long-term variations of groundwater and their governing factors based on hydrochemical and isotopic data in a river basin41
Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling41
Process-oriented SWMM real-time correction and urban flood dynamic simulation41
A framework for ‘Inclusive Multiple Modelling’ with critical views on modelling practices – Applications to modelling water levels of Caspian Sea and Lakes Urmia and Van41
The influence of connected heterogeneity on groundwater flow and salinity distributions in coastal volcanic aquifers40
A large-scale comparison of Artificial Intelligence and Data Mining (AI&DM) techniques in simulating reservoir releases over the Upper Colorado Region40
Deep learning emulators for groundwater contaminant transport modelling40
The interactions between hydrological drought evolution and precipitation-streamflow relationship40
Emerging organic contaminants in karst groundwater: A global level assessment40
Automatic gap-filling of daily streamflow time series in data-scarce regions using a machine learning algorithm39
Estimating seasonal water budgets in global lakes by using multi-source remote sensing measurements39
Estimation of spatio-temporal groundwater storage variations in the Lower Transboundary Indus Basin using GRACE satellite39
Activation soil moisture accounting (ASMA) for runoff estimation using soil conservation service curve number (SCS-CN) method39
Short-term generation scheduling of cascade hydropower plants with strong hydraulic coupling and head-dependent prohibited operating zones39
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