Fingerprinting and Differentiation of Landfill Leachate and Domestic Sewage in Surface Water with Machine Learning Based Surface Enhanced Raman Spectroscopy-Reference-Cited by-同舟云学术

Fingerprinting and Differentiation of Landfill Leachate and Domestic Sewage in Surface Water with Machine Learning Based Surface Enhanced Raman Spectroscopy

Published:2023-09-13 Issue: Volume: Page:
ISSN:2690-0637
Container-title:ACS ES&T Water
language:en
Short-container-title:ACS EST Water

Author:

Li Juan¹,Wang Xinghong¹,Tang Jiaxi¹,Li Fan¹,Wang Xueqing¹,Muhammad Tabdar Ali Deip¹,Hu Zhangmei²,Wang Dongmei¹,Gong Zhengjun²,Fan Meikun¹^ORCID

Affiliation:

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, P. R. China

2. The Analytical and Testing Center of Southwest Jiaotong University, Chengdu 610031, P. R. China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Water Science and Technology,Environmental Chemistry,Chemistry (miscellaneous),Chemical Engineering (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestwater.3c00441

Reference44 articles.

1. Using EEM-PARAFAC to identify and trace the pollution sources of surface water with receptor models in Taihu Lake Basin, China

2. Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016

3. Dissolved effluent organic matter: Characteristics and potential implications in wastewater treatment and reuse applications

4. Assessing the Fate of Dissolved Organic Compounds in Landfill Leachate and Wastewater Treatment Systems

5. Characterizing fluorescence fingerprints of different types of metal plating wastewater by fluorescence excitation-emission matrix

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