Evaluating Emergency Emission Controls During an Unprecedented Regional Haze Event Using Causal Machine Learning.
- DOI
- 10.1021/acs.est.6c12991
- Published
- 2026 Nov 10
- Container
- Environmental science & technology
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.6c12991,
title = {Evaluating Emergency Emission Controls During an Unprecedented Regional Haze Event Using Causal Machine Learning.},
author = {Liang W and Zhu W and Dai Q and Feng R and Ding J and Liu B and Bi X and Zhang Y and Feng Y},
year = {2026},
journal = {Environmental science \& technology},
doi = {10.1021/acs.est.6c12991},
url = {https://doi.org/10.1021/acs.est.6c12991}
}RIS
TY - JOUR TI - Evaluating Emergency Emission Controls During an Unprecedented Regional Haze Event Using Causal Machine Learning. AU - Liang W AU - Zhu W AU - Dai Q AU - Feng R AU - Ding J AU - Liu B AU - Bi X AU - Zhang Y AU - Feng Y PY - 2026 JO - Environmental science & technology DO - 10.1021/acs.est.6c12991 UR - https://doi.org/10.1021/acs.est.6c12991 ER -
APA
W, L., W, Z., Q, D., R, F., J, D., B, L., X, B., Y, Z., & Y, F. (2026). Evaluating Emergency Emission Controls During an Unprecedented Regional Haze Event Using Causal Machine Learning.. Environmental science & technology. https://doi.org/10.1021/acs.est.6c12991
Source records
- pubmed · retrieved 2026-11-10T18:54:07.570Z