Using EEM-PARAFAC to identify and trace the pollution sources of surface water with receptor models in Taihu Lake Basin, China-Reference-Cited by-同舟云学术

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

Published:2022-11 Issue: Volume:321 Page:115925
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Wang Xu^ORCID,Zhang Meng,Liu Lili,Wang Zhiping,Lin Kuangfei

Funder

National Natural Science Foundation of China

Major Science and Technology Program for Water Pollution Control and Treatment

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference41 articles.

1. Estimation of different source contributions to sediment organic matter in an agricultural-forested watershed using end member mixing analyses based on stable isotope ratios and fluorescence spectroscopy;Derrien;Sci. Total Environ.,2018

2. Dissolved organic matter removal using magnetic anion exchange resin treatment on biological effluent of textile dyeing wastewater;Fan;J. Environ. Sci.,2014

3. Spatio-temporal evaluation of organic contaminants and their transformation products along a river basin affected by urban, agricultural and industrial pollution;Gomez;Sci. Total Environ.,2012

4. Source apportionment of heavy metals in farmland soil of Wuwei, China: comparison of three receptor models;Guan;J. Clean. Prod.,2019

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1. Riverine seasonal rainfall event tracing of organic pollution sources using fluorescence fingerprint difference spectrum;Science of The Total Environment;2024-11

2. Water quality assessment and its pollution source analysis from spatial and temporal perspectives in small watershed of Sichuan Province, China;Environmental Monitoring and Assessment;2024-08-28

3. Quantification of brown tide algae using EGAF coding and DFF feature fusion based on LED-induced fluorescence spectroscopy;Microchemical Journal;2024-05

4. Identification of agricultural surface source pollution in plain river network areas based on 3D-EEMs and convolutional neural networks;Water Science & Technology;2024-04-15

5. Source apportionment based on EEM-PARAFAC combined with microbial tracing model and its implication in complex pollution area, Wujin District, China;Environmental Pollution;2024-04

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