Improving Soil Salinity Simulation by Assimilating Electromagnetic Induction Data into HYDRUS Model Using Ensemble Kalman Filter-Reference-Cited by-同舟云学术

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Improving Soil Salinity Simulation by Assimilating Electromagnetic Induction Data into HYDRUS Model Using Ensemble Kalman Filter

Published:2021 Issue: Volume: Page:
ISSN:1726-2135
Container-title:Journal of Environmental Informatics
language:
Short-container-title:J ENVIRON INFORM

Author:

Yao R. J., ,Yang J. S.,Wang X. P.,Zhao Y.,Li H. Q.,Gao P.,Xie W. P.,Zhang X., , , , , , , ,

Publisher

International Society for Environmental Information Science (ISEIS)

Subject

Computer Science Applications,General Environmental Science,General Decision Sciences

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ensemble Bayesian Model Averaging Projections of Wind‐Speed Extremes for Wind Energy Applications Over China Under Climate Change;Journal of Geophysical Research: Atmospheres;2024-01-08

2. Assessment of the infiltration of water-in-oil emulsion into soil after spill incidents;Science of The Total Environment;2023-10

3. Entrainment and Enrichment of Microplastics in Ice Formation Processes: Implications for the Transport of Microplastics in Cold Regions;Environmental Science & Technology;2023-02-13

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