Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment-Reference-Cited by-同舟云学术

Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment

Author:

Kang Xueyuan¹^ORCID,Kokkinaki Amalia²^ORCID,Shi Xiaoqing¹^ORCID,Yoon Hongkyu³^ORCID,Lee Jonghyun⁴^ORCID,Kitanidis Peter K.⁵,Wu Jichun¹^ORCID

Affiliation:

1. Key Laboratory of Surficial Geochemistry of Ministry of Education School of Earth Sciences and Engineering Nanjing University Nanjing China

2. Department of Environmental Science University of San Francisco San Francisco CA USA

3. Geoscience Research & Application Sandia National Laboratories Albuquerque NM USA

4. Department of Civil and Environmental Engineering and Water Resources Research Center University of Hawaii at Manoa Honolulu HI USA

5. Department of Civil and Environmental Engineering Stanford University Stanford CA USA

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

Reference60 articles.

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