Multi-factor impacts identification and runoff forecasting based on ensemble model: A case study of the source region of Yellow River
- DOI
- 10.1016/j.ejrh.2026.103662
- Published
- 2026-08
- Container
- Journal of Hydrology: Regional Studies
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejrh.2026.103662,
title = {Multi-factor impacts identification and runoff forecasting based on ensemble model: A case study of the source region of Yellow River},
author = {Hanxiao Liu and Denghua Yan and Tianling Qin and Xizhi Lv and Shanshui Yuan and Jianming Feng and Jie Lu and Shu Xu and Yuhui Yang and Haoyue Gao},
year = {2026},
journal = {Journal of Hydrology: Regional Studies},
doi = {10.1016/j.ejrh.2026.103662},
url = {https://doi.org/10.1016/j.ejrh.2026.103662}
}RIS
TY - JOUR TI - Multi-factor impacts identification and runoff forecasting based on ensemble model: A case study of the source region of Yellow River AU - Hanxiao Liu AU - Denghua Yan AU - Tianling Qin AU - Xizhi Lv AU - Shanshui Yuan AU - Jianming Feng AU - Jie Lu AU - Shu Xu AU - Yuhui Yang AU - Haoyue Gao PY - 2026 JO - Journal of Hydrology: Regional Studies DO - 10.1016/j.ejrh.2026.103662 UR - https://doi.org/10.1016/j.ejrh.2026.103662 ER -
APA
Liu, H., Yan, D., Qin, T., Lv, X., Yuan, S., Feng, J., Lu, J., Xu, S., Yang, Y., & Gao, H. (2026). Multi-factor impacts identification and runoff forecasting based on ensemble model: A case study of the source region of Yellow River. Journal of Hydrology: Regional Studies. https://doi.org/10.1016/j.ejrh.2026.103662
Source records
- crossref · retrieved 2026-09-26T04:17:36.364Z