62 citations as recorded by crossref.

1. Subsurface Irrigation in Regional Water Management: a System Dynamics Approach to Support Decision Making J. de Wit et al. https://doi.org/10.1007/s11269-025-04393-2
2. Self organizing hydrological processes in a runoff source area N. Brindt et al. https://doi.org/10.1016/j.catena.2021.105955
3. Impacts of preferential flow and agroecosystem management on subsurface particulate phosphorus loadings in tile‐drained landscapes S. Nazari et al. https://doi.org/10.1002/jeq2.20116
4. Simulation of nitrogen dynamics in lowland polders using a new coupled modelling approach: Insights into management R. Yan et al. https://doi.org/10.1016/j.jclepro.2021.127753
5. Measurement and Simulation of Soil Water Contents in an Experimental Field in Delta Plain W. Hua et al. https://doi.org/10.3390/w9120947
6. Development of the consider cubature Kalman filter for state estimation of hydrological models with parameter uncertainty Y. Sun et al. https://doi.org/10.1016/j.jhydrol.2023.130080
7. Short water transit times determine the fate of veterinary pharmaceuticals in lowland catchments N. Rakonjac et al. https://doi.org/10.1016/j.jconhyd.2025.104704
8. Hydrology and phosphorus transport simulation in a lowland polder by a coupled modeling system R. Yan et al. https://doi.org/10.1016/j.envpol.2016.09.093
9. WALRUS-paddy model for simulating the hydrological processes of lowland polders with paddy fields and pumping stations R. Yan et al. https://doi.org/10.1016/j.agwat.2016.02.018
10. The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. https://doi.org/10.5194/gmd-15-5371-2022
11. Parameter Estimation in Rainfall-Runoff Modelling Using Distributed Versions of Particle Swarm Optimization Algorithm M. Jakubcová et al. https://doi.org/10.1155/2015/968067
12. Hydrologic impacts of changing land use and climate in the Veneto lowlands of Italy A. Pijl et al. https://doi.org/10.1016/j.ancene.2018.04.001
13. Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage J. Qquenta et al. https://doi.org/10.3390/rs16010011
14. Modified APEX model for Simulating Macropore Phosphorus Contributions to Tile Drains W. Ford et al. https://doi.org/10.2134/jeq2016.06.0218
15. Behind the scenes of streamflow model performance L. Bouaziz et al. https://doi.org/10.5194/hess-25-1069-2021
16. Effect of climate change on runoff of Campylobacter and Cryptosporidium from land to surface water A. Sterk et al. https://doi.org/10.1016/j.watres.2016.03.005
17. Improving Treatment of Noise Specification of Kalman Filtering for State Updating of Hydrological Models: Combining the Strengths of the Interacting Multiple Model Method and Cubature Kalman Filter Y. Sun et al. https://doi.org/10.1029/2022WR033635
18. The 3DNet-Catch hydrologic model: Development and evaluation A. Todorović et al. https://doi.org/10.1016/j.jhydrol.2018.10.040
19. Drought in a human-modified world: reframing drought definitions, understanding, and analysis approaches A. Van Loon et al. https://doi.org/10.5194/hess-20-3631-2016
20. Framework for quantifying rural NPS pollution of a humid lowland catchment in Taihu Basin, Eastern China R. Yan et al. https://doi.org/10.1016/j.scitotenv.2019.06.114
21. Field-Based Analysis of Runoff Generation Processes in Humid Lowlands of the Taihu Basin, China Y. Zhai et al. https://doi.org/10.3390/w12041216
22. Computation of backwater effects in surface waters of lowland catchments including control structures – an efficient and re-usable method implemented in the hydrological open-source model Kalypso-NA (4.0) S. Hellmers & P. Fröhle https://doi.org/10.5194/gmd-15-1061-2022
23. Modelling the hydrological processes of a Chinese lowland polder and identifying the key factors using an improved PHPS model R. Yan et al. https://doi.org/10.1016/j.jhydrol.2019.124083
24. Hydrological application of radar rainfall nowcasting in the Netherlands D. Heuvelink et al. https://doi.org/10.1016/j.envint.2019.105431
25. Improving Forecast Skill of Lowland Hydrological Models Using Ensemble Kalman Filter and Unscented Kalman Filter Y. Sun et al. https://doi.org/10.1029/2020WR027468
26. Assessing the role of uncertain precipitation estimates on the robustness of hydrological model parameters under highly variable climate conditions B. Bisselink et al. https://doi.org/10.1016/j.ejrh.2016.09.003
27. Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning R. Imhoff et al. https://doi.org/10.1029/2021WR031591
28. Rain-on-wet-soil compound floods in lowlands: the combined effect of large rain events and shallow groundwater on discharge peaks in a changing climate C. Brauer et al. https://doi.org/10.5194/hess-30-249-2026
29. Exploring spatiotemporal changes of Wuliangsuhai lake Basin’s nitrogen and phosphorus sources, retention, and export to the Yellow River Z. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134627
30. Small-scale adaptation reduces regional drought risk: an agent-based modelling study of farmers’ adaptive behaviour in the Netherlands L. De Graaff et al. https://doi.org/10.1088/3033-4942/ae5e01
31. Exploring the Influence of Seasonal Cropland Abandonment on Evapotranspiration and Water Resources in the Humid Lowland Region, Southern China R. Yan et al. https://doi.org/10.1029/2021WR031888
32. Instructive Surprises in the Hydrological Functioning of Landscapes J. Kirchner et al. https://doi.org/10.1146/annurev-earth-071822-100356
33. Improving the Forecast Performance of Hydrological Models Using the Cubature Kalman Filter and Unscented Kalman Filter Y. Sun et al. https://doi.org/10.1029/2022WR033580
34. Modeling the hydrological effects of climate and land use/cover changes in Chinese lowland polder using an improved WALRUS model R. Yan et al. https://doi.org/10.2166/nh.2016.204
35. Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al. https://doi.org/10.5194/hess-25-3937-2021
36. The effect of differences between rainfall measurement techniques on groundwater and discharge simulations in a lowland catchment C. Brauer et al. https://doi.org/10.1002/hyp.10898
37. The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism M. Clark et al. https://doi.org/10.5194/hess-21-3427-2017
38. Coupling mountain and lowland watershed models to characterize nutrient loading: An eight-year investigation in Lake Chaohu Basin J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.128258
39. Spatial resolutions in areal rainfall estimation and their impact on hydrological simulations of a lowland catchment W. Terink et al. https://doi.org/10.1016/j.jhydrol.2018.05.045
40. A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution J. Buitink et al. https://doi.org/10.5194/gmd-13-6093-2020
41. Quantifying hydrologic pathway and source connectivity dynamics in tile drainage: Implications for phosphorus concentrations S. Nazari et al. https://doi.org/10.1002/vzj2.20154
42. Looking beyond general metrics for model comparison – lessons from an international model intercomparison study T. de Boer-Euser et al. https://doi.org/10.5194/hess-21-423-2017
43. The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America R. Arsenault et al. https://doi.org/10.1016/j.envsoft.2023.105808
44. Coupled hydrologic and hydraulic modeling for a lowland river basin in China J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2024.132470
45. Key factors affecting discharge, soil erosion, nitrogen and phosphorus exports from agricultural polder R. Yan & J. Gao https://doi.org/10.1016/j.ecolmodel.2021.109586
46. Modelling the regulation effects of lowland polder with pumping station on hydrological processes and phosphorus loads R. Yan et al. https://doi.org/10.1016/j.scitotenv.2018.04.389
47. Modeling nitrogen export from 2539 lowland artificial watersheds in Lake Taihu Basin, China: Insights from process-based modeling J. Huang et al. https://doi.org/10.1016/j.jhydrol.2019.124428
48. Impacts of massive pumping on flood processes in polders—with a case study on Lannihu basin in the Dongting Lake District, China J. Liu et al. https://doi.org/10.1002/hyp.14365
49. Extreme flood reconstruction by using the 3DNet platform for hydrological modelling M. Stanić et al. https://doi.org/10.2166/hydro.2017.050
50. Hydrology of inland tropical lowlands: the Kapuas and Mahakam wetlands H. Hidayat et al. https://doi.org/10.5194/hess-21-2579-2017
51. A Phosphorus Dynamic model for lowland Polder systems (PDP) J. Huang et al. https://doi.org/10.1016/j.ecoleng.2015.12.033
52. A novel framework for tracking hydrological processes and identifying key factors in mountain-lowland mixed catchments: Implications of forty years of modeling for water management R. Yan et al. https://doi.org/10.1016/j.watres.2025.123424
53. A soil column model for predicting the interaction between water table and evapotranspiration M. Maquin et al. https://doi.org/10.1002/2016WR020183
54. Integrating multi indices for identifying priority management areas in lowland to control lake eutrophication: A case study in lake Gehu, China F. Tian et al. https://doi.org/10.1016/j.ecolind.2020.106103
55. The application of spreadsheets for teaching hydrological modeling and climate change impacts on streamflow J. Pérez‐Sánchez et al. https://doi.org/10.1002/cae.22541
56. Altering water flow pathway to enhance nutrient retention in lowland areas J. Zhang et al. https://doi.org/10.1016/j.watres.2025.124429
57. Sources, distribution and export coefficient of phosphorus in lowland polders of Lake Taihu Basin, China J. Huang et al. https://doi.org/10.1016/j.envpol.2017.08.089
58. Representation of Bi‐Directional Fluxes Between Groundwater and Surface Water in a Bucket‐Type Hydrological Model M. Staudinger et al. https://doi.org/10.1029/2020WR028835
59. Streamflow routing at high temporal resolution: A distributed hydrological model with dam and weir impacts Y. Lee et al. https://doi.org/10.1016/j.ejrh.2025.102602
60. The Wageningen Lowland Runoff Simulator (WALRUS): application to the Hupsel Brook catchment and the Cabauw polder C. Brauer et al. https://doi.org/10.5194/hess-18-4007-2014
61. The Impact of Climate Change on Metal Transport in a Lowland Catchment R. Wijngaard et al. https://doi.org/10.1007/s11270-017-3261-4
62. A climatological benchmark for operational radar rainfall bias reduction R. Imhoff et al. https://doi.org/10.5194/hess-25-4061-2021