Source: Journal of hydrology. Unidade: EESC
Subjects: ESCOAMENTO SUPERFICIAL, APRENDIZADO COMPUTACIONAL, NEVE, ENGENHARIA HIDRÁULICA
ABNT
ZIHAO, Yang et al. Interpretable Budyko-constrained machine learning framework for monthly runoff attribution in U.S. CAMELS basins. Journal of hydrology, v. 670, p. 1-15, 2026Tradução . . Disponível em: http://dx.doi.org/10.1016/j.jhydrol.2026.135209. Acesso em: 22 abr. 2026.APA
Zihao, Y., Qianjin, D., Xu, Z., Longzhang, F., Xi, Z., Kujun, C., & Mendiondo, E. M. (2026). Interpretable Budyko-constrained machine learning framework for monthly runoff attribution in U.S. CAMELS basins. Journal of hydrology, 670, 1-15. doi:10.1016/j.jhydrol.2026.135209NLM
Zihao Y, Qianjin D, Xu Z, Longzhang F, Xi Z, Kujun C, Mendiondo EM. Interpretable Budyko-constrained machine learning framework for monthly runoff attribution in U.S. CAMELS basins [Internet]. Journal of hydrology. 2026 ; 670 1-15.[citado 2026 abr. 22 ] Available from: http://dx.doi.org/10.1016/j.jhydrol.2026.135209Vancouver
Zihao Y, Qianjin D, Xu Z, Longzhang F, Xi Z, Kujun C, Mendiondo EM. Interpretable Budyko-constrained machine learning framework for monthly runoff attribution in U.S. CAMELS basins [Internet]. Journal of hydrology. 2026 ; 670 1-15.[citado 2026 abr. 22 ] Available from: http://dx.doi.org/10.1016/j.jhydrol.2026.135209
