APA (7th ed.) Citation

X, Z., W, M., J, D., P, P., H, W., Q, M., . . . N, D. (2026). A physically constrained and interpretable deep learning framework for PM2.5 inversion under sparse monitoring conditions in arid regions. Environmental pollution (Barking, Essex : 1987), 399, 128233. https://doi.org/10.1016/j.envpol.2026.128233

Chicago Style (17th ed.) Citation

X, Zhang, Ma W, Ding J, Peng P, Wang H, Man Q, Yang Y, and Du N. "A Physically Constrained and Interpretable Deep Learning Framework for PM2.5 Inversion Under Sparse Monitoring Conditions in Arid Regions." Environmental Pollution (Barking, Essex : 1987) 399 (2026): 128233. https://doi.org/10.1016/j.envpol.2026.128233.

MLA (9th ed.) Citation

X, Zhang, et al. "A Physically Constrained and Interpretable Deep Learning Framework for PM2.5 Inversion Under Sparse Monitoring Conditions in Arid Regions." Environmental Pollution (Barking, Essex : 1987), vol. 399, 2026, p. 128233, https://doi.org/10.1016/j.envpol.2026.128233.