13 citations as recorded by crossref.

1. Big Data Analysis Framework for Water Quality Indicators with Assimilation of IoT and ML S. Kimothi et al. 10.3390/electronics11131927
2. Assessment of Water Quality Indicators in the Orla River Nitrate Vulnerable Zone in the Context of New Threats in Poland J. Kupiec et al. 10.3390/w14152287
3. A spatially explicit interpretable machine-learning method to track dissolved inorganic nitrogen pollution in a coastal watershed Z. Zhang et al. 10.1016/j.ecolind.2023.111428
4. Hydrological responses to land use and land cover change and climate dynamics in the Rift Valley Lakes Basin, Ethiopia A. Ayalew et al. 10.2166/wcc.2023.138
5. Unraveling the effects of hydrological connectivity and landscape characteristics on reservoir water quality J. Wang et al. 10.1016/j.jhydrol.2022.128410
6. Impact of Land Use Change on the Water Environment of a Key Marsh Area in Vientiane Capital, Laos K. Phanmala et al. 10.3390/w15244302
7. A guideline for spatio‐temporal consistency in water quality modelling in rural areas N. Fohrer et al. 10.1002/hyp.14711
8. Evaluating the influence of landscape spatial upscaling on the performance of river water quality models M. Aalipour et al. 10.1016/j.ecolind.2024.111607
9. Development of a coupled model to simulate and assess arsenic contamination and impact factors in the Jinsha River Basin, China Y. Sun et al. 10.1016/j.jes.2023.09.038
10. Nitrate isotopes in catchment hydrology: Insights, ideas and implications for models I. Matiatos et al. 10.1016/j.jhydrol.2023.130326
11. Climate change impact on the ecological status of rivers: The case of Albaida Valley (SE Spain) H. Vagheei et al. 10.1016/j.scitotenv.2023.164645
12. Groundwater Risk Assessment in the Arabian Basin of Saudi Arabia Through Multiple Dataset A. Pradipta et al. 10.1007/s13369-023-08469-2
13. How does building healthy soils impact sustainable use of water resources in irrigated agriculture? S. Acevedo et al. 10.1525/elementa.2022.00043