Identifying Candidate Persistent, Mobile, and Toxic (PMT) and Very Persistent and Very Mobile (vPvM) Substances in Shale Gas Drilling Fluids by Combining Nontarget Analysis and Machine Learning Model-Reference-Cited by-同舟云学术

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Identifying Candidate Persistent, Mobile, and Toxic (PMT) and Very Persistent and Very Mobile (vPvM) Substances in Shale Gas Drilling Fluids by Combining Nontarget Analysis and Machine Learning Model

Published:2024-01-22 Issue:2 Volume:11 Page:114-121
ISSN:2328-8930
Container-title:Environmental Science & Technology Letters
language:en
Short-container-title:Environ. Sci. Technol. Lett.

Author:

Wang Ziwei¹²³,Han Min¹²³,Jin Biao¹²³^ORCID

Affiliation:

1. State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China

2. CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China

3. University of Chinese Academy of Sciences, Beijing 10069, China

Funder

National Key Research and Development Program of China

Guangdong Provincial Applied Science and Technology Research and Development Program

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.estlett.3c00943

Reference39 articles.

1. Characterization and Analysis of Liquid Waste from Marcellus Shale Gas Development

2. The role of supercritical carbon dioxide for recovery of shale gas and sequestration in gas shale reservoirs

3. Multifunctional carbon aerogel granules designed for column reactor for efficient treatment of shale gas flowback and produced water

4. The investigation of shale gas wastewater treatment by electro-Fenton process: Statistical optimization of operational parameters

5. Electrocoagulation treatment of shale gas drilling wastewater: Performance and statistical optimization

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