34 citations as recorded by crossref.

1. Factors Controlling the Spatial Distribution of Dissolved Organic Matter With Changes in the C/N Ratio From the Upper to Lower Reaches of the Ishikari River, Japan Y. Takaki et al. https://doi.org/10.3389/feart.2022.826907
2. Seasonal fluxes and sediment routing in tropical catchments affected by nickel mining J. Domingo et al. https://doi.org/10.1002/esp.5198
3. Effects of Nonaerated Circulation Water Velocity on Nutrient Release from Aquaculture Pond Sediments X. Cheng et al. https://doi.org/10.3390/w9010006
4. Total and settling velocity-fractionated pollution potential of sewer sediments in Jiaxing, China Y. Zhou et al. https://doi.org/10.1007/s11356-017-9882-8
5. A brief review of recent global trends in suspended sediment estimation studies S. Hefzul Bari et al. https://doi.org/10.3178/hrl.18.51
6. Remote sensing application in compliment to in-situ monitoring of water quality: Lower Manyame Sub-catchment, Zimbabwe H. Muhoyi et al. https://doi.org/10.1016/j.sciaf.2025.e02551
7. Transferring Innovative Erosion and Sediment Control Research Results into Industry Practice M. Perez et al. https://doi.org/10.3390/w11122549
8. Non-native fish species expand tacitly but rapidly toward upstream oxbow lakes along the longitudinal gradient B. Dai et al. https://doi.org/10.3897/neobiota.85.99296
9. Modelling of basin-scale nutrient loading variations under the synergistic influences of climate change and socioeconomic development C. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.132673
10. Spatio-temporal analysis of hydroclimatic trends and land use/land cover change in the Mukawa River Basin, Hokkaido, Japan S. Ngwira et al. https://doi.org/10.1080/15715124.2025.2586705
11. Prediction of suspended sediment yield by artificial neural network and traditional mathematical model in Mahanadi river basin, India A. Yadav et al. https://doi.org/10.1007/s40899-017-0160-1
12. Transfer Pathways and Fluxes of Water-Soluble Pesticides in Various Compartments of the Agricultural Catchment of the Canche River (Northern France) A. Belles et al. https://doi.org/10.3390/w11071428
13. Environmental heterogeneity affects the planktonic community heterogeneity along the altitudinal gradient in a ∼1200 km stretch of the Ganga River D. Prakash et al. https://doi.org/10.65087/aehm.028.04.4
14. Capability and Robustness of Novel Hybridized Artificial Intelligence Technique for Sediment Yield Modeling in Godavari River, India A. Yadav et al. https://doi.org/10.3390/w14121917
15. Estimating Sediment Loadings in the South Saskatchewan River Catchment L. Morales-Marín et al. https://doi.org/10.1007/s11269-017-1838-8
16. Impacts of sewer deposits on the urban river sediment after rainy season and bioremediation of polluted sediment S. Chang et al. https://doi.org/10.1007/s11356-018-1457-9
17. Estimate of nutrient sources and transport into Bohai Bay in China from a lower plain urban watershed using a SPARROW model Z. Xu et al. https://doi.org/10.1007/s11356-020-11932-4
18. Identification of long-term trends and seasonality in high-frequency water quality data from the Yangtze River basin, China W. Duan et al. https://doi.org/10.1371/journal.pone.0188889
19. Application of the RSPARROW Modeling Tool to Estimate Total Nitrogen Sources to Streams and Evaluate Source Reduction Management Scenarios in the Grande River Basin, Brazil M. Miller et al. https://doi.org/10.3390/w12102911
20. Assessment of nutrient loadings of a large multipurpose prairie reservoir L. Morales-Marín et al. https://doi.org/10.1016/j.jhydrol.2017.04.043
21. Research on Sediment Discharge Variations and Driving Factors in the Tarim River Basin Z. Ye et al. https://doi.org/10.3390/rs14225848
22. Soil erosion in disturbed forests and agricultural plantations in tropical undulating terrain: in situ measurement using a laser erosion bridge method N. Mohamad et al. https://doi.org/10.2166/wcc.2019.063
23. Sediment clues in flood mitigation: the key to determining the origin, transport, and degree of heavy metal contamination K. Annammala et al. https://doi.org/10.2166/nh.2020.119
24. Modeling nutrient flows from land to rivers and seas – A review and synthesis X. Shan et al. https://doi.org/10.1016/j.marenvres.2023.105928
25. Suspended Load Modeling of River Using Soft Computing Techniques A. Moradinejad https://doi.org/10.1007/s11269-023-03722-7
26. Quantifying the effects of channel change on the discharge diversion of Jingjiang Three Outlets after the operation of the Three Gorges Dam Y. Li et al. https://doi.org/10.2166/nh.2016.016
27. Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al. https://doi.org/10.5194/hess-22-2987-2018
28. Investigation of hydrometeorological influences on reservoir releases using explainable machine learning methods M. Fan et al. https://doi.org/10.3389/frwa.2023.1112970
29. Ammonium Nitrogen Streamflow Transport Modelling and Spatial Analysis in Two Chinese Basins J. Yin et al. https://doi.org/10.3390/w14020209
30. Source Apportionment of Annual Water Pollution Loads in River Basins by Remote-Sensed Land Cover Classification Y. Wang et al. https://doi.org/10.3390/w8090361
31. Spatial variations in water quality of river Ganga with respect to land uses in Varanasi S. Sharma et al. https://doi.org/10.1007/s11356-016-7411-9
32. Modelling the sources and transport of ammonium nitrogen with the SPARROW model: A case study in a karst basin Y. Dai et al. https://doi.org/10.1016/j.jhydrol.2020.125763
33. Changing climate drives future streamflow declines and challenges in meeting water demand across the southwestern United States O. Miller et al. https://doi.org/10.1016/j.hydroa.2021.100074
34. Modeling hydrological processes under Multi-Model projections of climate change in a cold region of Hokkaido, Japan S. Peng et al. https://doi.org/10.1016/j.catena.2023.107605