15 citations as recorded by crossref.

1. Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review M. Barati Moghaddam et al. 10.1016/j.gsd.2021.100651
2. An embedded VPMM-AD model for riverine transient flow and non-reactive contaminant transports R. Swain et al. 10.1016/j.jhydrol.2018.06.025
3. Modelling of heavy metals transport along the Lom River in the mining site of Gankombol (Adamawa Cameroon) M. Ayiwouo et al. 10.1007/s13762-021-03889-9
4. A general Lagrangian tracking methodology for riverine flow and transport J. Nelson et al. 10.1002/esp.5458
5. An Experimental Investigation of the Hydraulics and Pollutant Dispersion Characteristics of a Model Beaver Dam J. Hart et al. 10.3390/w12092320
6. A comprehensive uncertainty analysis of model-estimated longitudinal and lateral dispersion coefficients in open channels M. Najafzadeh et al. 10.1016/j.jhydrol.2021.126850
7. Investigation of river water pollution using Muskingum method and particle swarm optimization (PSO) algorithm H. Norouzi & J. Bazargan 10.1007/s13201-024-02127-0
8. Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis S. Kwon et al. 10.3390/ijerph18031023
9. Modeling One-Dimensional Nonreactive Solute Transport in Open Channel Flows Under Uncertain Flow and Solute Loading Conditions T. Tu et al. 10.1061/(ASCE)HE.1943-5584.0001957
10. New coefficient for water quality modelling in meandering rivers: Fatigue Factor S. Hashemi Monfared et al. 10.1016/j.ecoinf.2023.101999
11. Analytical solution of two-dimensional conservative solute transport in a heterogeneous porous medium for varying input point source R. Yadav & L. Kumar 10.1007/s12665-021-09584-9
12. A comprehensive assessment and comparison of the impacts of storage parameters on solute transport in streams using a novel framework S. Khodambashi Emami & M. Mazaheri 10.1016/j.jhydrol.2024.130873
13. Quantifying the Impact of Uncertainty within the Longitudinal Dispersion Coefficient on Concentration Dynamics and Regulatory Compliance in Rivers V. Camacho Suarez et al. 10.1029/2018WR023417
14. Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams B. Ghiasi et al. 10.1038/s41598-022-08417-4
15. Experimental and numerical study of bed roughness effect on longitudinal dispersion M. Nasrabadi et al. 10.2166/ws.2021.274