CO2 Leakage Identification Method Based on Complex Time–Frequency Spectrum of Atmospheric CO2 Variation-Reference-Cited by-同舟云学术

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CO2 Leakage Identification Method Based on Complex Time–Frequency Spectrum of Atmospheric CO2 Variation

Published:2021-07-14 Issue:5 Volume:28 Page:376-386
ISSN:1871-5532
Container-title:ACS Chemical Health & Safety
language:en
Short-container-title:ACS Chem. Health Saf.

Author:

Ma Denglong¹^ORCID,Wu Xiuben¹,Gao Jianmin¹²,Zhang Zaoxiao³^ORCID,Zuo Xin⁴

Affiliation:

1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710048, P. R. China

2. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710048, P. R. China

3. School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710048, P. R. China

4. School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, P. R. China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Publisher

American Chemical Society (ACS)

Subject

Chemical Health and Safety,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chas.1c00025

Reference31 articles.

1. Feasible roadmap for CCS retrofit of coal-based power plants to reduce Chinese carbon emissions by 2050

2. Influence of tribology on global energy consumption, costs and emissions

3. Climate Change and the Impact of Greenhouse Gasses: CO2 and NO, Friends and Foes of Plant Oxidative Stress

4. Estimating the Leakage along Wells during Geologic CO2 Storage: Application of the Well Leakage Assessment Tool to a Hypothetical Storage Scenario in Natrona County, Wyoming

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