Machine learning-aided causal inference for unraveling chemical dispersant and salinity effects on crude oil biodegradation

Author:

Cao Yiqi,Kang Qiao,Zhang Baiyu,Zhu Zhiwen,Dong Guihua,Cai Qinhong,Lee Kenneth,Chen Bing

Funder

Canada Foundation for Innovation

Dairy Farmers of Ontario

Canada Research Chairs

Natural Sciences and Engineering Research Council of Canada

Fisheries and Oceans Canada

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Medicine,Environmental Engineering,Bioengineering

Reference48 articles.

1. Crude oil biodegradation in upper and supratidal seashores;Abou Khalil;J. Hazard. Mater.,2021

2. Occurrence and biodegradation of hydrocarbons at high salinities;Abou Khalil;Science of The Total Environment,2021

3. Causal datasheet for datasets: an evaluation guide for real-world data analysis and data collection design using bayesian networks;Butcher;Front. Artif. Intell.,2021

4. A novel bioemulsifier produced by Exiguobacterium sp. strain N4–1P isolated from petroleum hydrocarbon contaminated coastal sediment;Cai;RSC Adv.,2017

5. A cross-comparison of biosurfactants as marine oil spill dispersants: governing factors, synergetic effects and fates;Cai,2021

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