| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A dual-model framework combining nonlinear autoregressive with exogenous inputs (NARX) and LSTM networks for enhanced daily runoff prediction and error correction
|
Shi, Weiyi
|
|
|
192 |
C |
p.
|
artikel
|
| 2 |
An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis
|
Wan, Hung-Hsien
|
|
|
192 |
C |
p.
|
artikel
|
| 3 |
A novel cross-model framework for modelling urban multi-hydrological processes based on hydrogeographic elements in urban areas
|
Wang, Haocheng
|
|
|
192 |
C |
p.
|
artikel
|
| 4 |
A numerical model for simulation of bedload transport in unsteady trans-critical river flow
|
Souillé, Fabien
|
|
|
192 |
C |
p.
|
artikel
|
| 5 |
A physics-constrained deep learning framework for actual evapotranspiration estimation using ground station observations and remote sensing data
|
Wang, Lingyue
|
|
|
192 |
C |
p.
|
artikel
|
| 6 |
Applying user-centred design to climate and environmental tools
|
Houtkamp, Joske
|
|
|
192 |
C |
p.
|
artikel
|
| 7 |
Artificial intelligence-incorporated prediction for urban flooding processes in the past 20 years: A critical review
|
Li, Zhili
|
|
|
192 |
C |
p.
|
artikel
|
| 8 |
A seamless geo-flow modelling workflow to tackle structural uncertainty using LoopStructural and MODFLOW
|
Bardot, Kerry
|
|
|
192 |
C |
p.
|
artikel
|
| 9 |
A systematic review of machine learning in groundwater monitoring
|
Dhapre, Mrunmayee
|
|
|
192 |
C |
p.
|
artikel
|
| 10 |
A two-stage trained hybrid Unet-ConvLSTM2D for enhanced precipitation nowcasting
|
Naz, Farah
|
|
|
192 |
C |
p.
|
artikel
|
| 11 |
Automatic analysis method for topological relationship between river network and hydrological stations
|
Wang, Yang
|
|
|
192 |
C |
p.
|
artikel
|
| 12 |
Climate change impacts on solar energy generation in the continental United States, forecasts from deep learning
|
Nichols, Cody
|
|
|
192 |
C |
p.
|
artikel
|
| 13 |
Connecting Landscapes: A decision support system to facilitate conservation led development
|
Jantz, Patrick
|
|
|
192 |
C |
p.
|
artikel
|
| 14 |
Depth estimation in urban flooding using surveillance cameras and high-resolution LiDAR data
|
Zamanizadeh, Mahta
|
|
|
192 |
C |
p.
|
artikel
|
| 15 |
Development of a data-driven automatic unstructured mesh generation tool suitable for compound flooding studies
|
Calzada, Jaime R.
|
|
|
192 |
C |
p.
|
artikel
|
| 16 |
Development of an alpine hydrological model considering the recharge of stream water to alluvial plain aquifers
|
Liu, Jiaojiao
|
|
|
192 |
C |
p.
|
artikel
|
| 17 |
DigiAgriApp: a client-server application to monitor field activities
|
Moretto, Marco
|
|
|
192 |
C |
p.
|
artikel
|
| 18 |
Editorial Board
|
|
|
|
192 |
C |
p.
|
artikel
|
| 19 |
Enhancing flood forecasts: A comprehensive neural network approach for groundwater flooding in lowland karst areas
|
Tabbussum, Ruhhee
|
|
|
192 |
C |
p.
|
artikel
|
| 20 |
Enhancing forest ecosystem simulation in the TASC model through the integration of the DAYCENT forest model
|
Dangol, Sijal
|
|
|
192 |
C |
p.
|
artikel
|
| 21 |
Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package
|
Catalá, Arturo
|
|
|
192 |
C |
p.
|
artikel
|
| 22 |
Evaluating IMERG-F precipitation for SWAT hydrologic modeling in data-rich and sparse watersheds
|
Jarrin-Perez, Fernando
|
|
|
192 |
C |
p.
|
artikel
|
| 23 |
Exploring the key meteorological drivers of air pollution by intrinsically interpretable deep learning
|
Yan, Chang
|
|
|
192 |
C |
p.
|
artikel
|
| 24 |
FIMserv v.1.0: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting framework
|
Baruah, Anupal
|
|
|
192 |
C |
p.
|
artikel
|
| 25 |
FPQ-iTransformer: A novel iTransformer-based model for accurate seawater salinity prediction
|
Jia, Wanhai
|
|
|
192 |
C |
p.
|
artikel
|
| 26 |
Generating three-dimensional soil organic carbon density dataset by soil depth function and correction methods in Yangtze River Delta, China
|
Lin, Shurui
|
|
|
192 |
C |
p.
|
artikel
|
| 27 |
Harnessing Twitter (X) with AI-enhanced natural language processing for disaster management: Insights from California wildfire
|
Karimiziarani, Mohammadsepehr
|
|
|
192 |
C |
p.
|
artikel
|
| 28 |
How to use general AI for task-specific applications: A case study of monitoring water level trends with river cameras
|
Wang, Ze
|
|
|
192 |
C |
p.
|
artikel
|
| 29 |
HydroBOT: an integrated toolkit for assessment of hydrology-dependent outcomes
|
Holt, Galen
|
|
|
192 |
C |
p.
|
artikel
|
| 30 |
Ice-jam flood predictions using an interpretable machine learning approach
|
Kowshal, Ananya
|
|
|
192 |
C |
p.
|
artikel
|
| 31 |
Impact of input forcings variability on the global sensitivity analysis of a hydrological model
|
Radišić, Katarina
|
|
|
192 |
C |
p.
|
artikel
|
| 32 |
Improved Biome-BGC model for simulating spatiotemporal dynamics of gross primary productivity in evergreen broadleaf forests of the karst region
|
Liu, Hengyuan
|
|
|
192 |
C |
p.
|
artikel
|
| 33 |
Improved TDS forecasting in data-scarce regions using CEEMDAN and AI-driven hydro-climatic analysis
|
Sayadi, Maryam
|
|
|
192 |
C |
p.
|
artikel
|
| 34 |
Improving current forecast by Leveraging Measured Data and numerical models via LiESNs
|
Moreno, Felipe M.
|
|
|
192 |
C |
p.
|
artikel
|
| 35 |
Improving image-based water-level monitoring by coupling water-line detection techniques and the segment anything model
|
Fang, Chenqi
|
|
|
192 |
C |
p.
|
artikel
|
| 36 |
Integrating remote sensing data with watershed-scale ecohydrological modeling in diverse forest and agricultural landscapes of the Upper Mississippi River Basin
|
Risal, Avay
|
|
|
192 |
C |
p.
|
artikel
|
| 37 |
Investigate the rainfall-runoff relationship and hydrological concepts inside LSTM
|
Hu, Yuqian
|
|
|
192 |
C |
p.
|
artikel
|
| 38 |
Investigating aquitard heterogeneity by inverse groundwater modelling at a drinking water production site
|
van Leer, Martijn D.
|
|
|
192 |
C |
p.
|
artikel
|
| 39 |
Machine learning assisted predictive urban digital twin for intelligent monitoring of air quality index for smart city environment
|
Naveed, Khazina
|
|
|
192 |
C |
p.
|
artikel
|
| 40 |
Machine learning-driven regional prediction of PM2.5 concentrations in the eastern mediterranean bridging spatial data gaps in air quality monitoring
|
Gürtepe, İrde Çeti̇ntürk
|
|
|
192 |
C |
p.
|
artikel
|
| 41 |
Modeling wildfire dynamics through a physics-based approach incorporating fuel moisture and landscape heterogeneity
|
Navas-Montilla, Adrián
|
|
|
192 |
C |
p.
|
artikel
|
| 42 |
Multimodal air-quality prediction: A multimodal feature fusion network based on shared-specific modal feature decoupling
|
Chen, Xiaoxia
|
|
|
192 |
C |
p.
|
artikel
|
| 43 |
New GIS tools for wind fetch analysis: A case study of changes in wave exposure in Isfjorden (Svalbard) due to reduced fast ice coverage
|
Urbański, Jacek Andrzej
|
|
|
192 |
C |
p.
|
artikel
|
| 44 |
Position paper: Common mistakes and solutions for a better use of correlation- and regression-based approaches in environmental sciences
|
Tedoldi, Damien
|
|
|
192 |
C |
p.
|
artikel
|
| 45 |
Predicting climate change: A comparative analysis of time series models for CO2 concentrations and temperature anomalies
|
Rezaei, Zahra
|
|
|
192 |
C |
p.
|
artikel
|
| 46 |
Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms
|
Guan, Dawei
|
|
|
192 |
C |
p.
|
artikel
|
| 47 |
Probabilistic assessment of a simplified water quality model and its linkage to the hydrological characteristics of lakes
|
Pasqualini, Joana Postal
|
|
|
192 |
C |
p.
|
artikel
|
| 48 |
Quantitative framework for soil burn severity from numerical wildfire models
|
Vahdat-Aboueshagh, Hamid
|
|
|
192 |
C |
p.
|
artikel
|
| 49 |
Regulation of efficient water use in paddy fields via the simulation of the water cycle in cold regions under random precipitation conditions
|
Li, Mo
|
|
|
192 |
C |
p.
|
artikel
|
| 50 |
Soil organic matter mapping in complex terrains considering spatial heterogeneity
|
Yin, Yue
|
|
|
192 |
C |
p.
|
artikel
|
| 51 |
The SPIChanges R-package: Improving the interpretation of the standardized precipitation index under changing climate conditions
|
Blain, Gabriel Constantino
|
|
|
192 |
C |
p.
|
artikel
|
| 52 |
Towards simulating solute transport in complex, regional-scale fracture networks: a rapid upscaled approach
|
Khafagy, Mohamed
|
|
|
192 |
C |
p.
|
artikel
|
| 53 |
Transformer-LSTM-KOA: A novel approach for prediction of chlorophyll in the South China Sea
|
Chen, Gang
|
|
|
192 |
C |
p.
|
artikel
|
| 54 |
TRISH: Tree-ring integrated system for hydrology, a web-based tool for reconstruction
|
Prusevich, Alexander A.
|
|
|
192 |
C |
p.
|
artikel
|
| 55 |
Unveiling uncertainties in soil organic carbon modeling: the critical role of climate response functions
|
Li, Huiwen
|
|
|
192 |
C |
p.
|
artikel
|
| 56 |
Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward?
|
Wheater, Howard
|
|
|
192 |
C |
p.
|
artikel
|
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