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Shu Lin

South China Institute of Environmental Sciences

Guangzhou

China

  • South China Institute of Environmental Sciences

SCHOLARLY PAPERS

5

DOWNLOADS

97

TOTAL CITATIONS

3

Scholarly Papers (5)

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1.

Comprehensive Evaluation of the Distribution, Transport and Ecological Risk of Heavy Metals in Intra-Urban River Sediments Using High-Resolution Techniques

Number of pages: 35 Posted: 10 Jun 2024
Kang Liao, Weijie Li, Zhiwei Huang, Shu Lin, Lingfang Fu, Wei Liu, Huaiyang Fang and Hong Deng
South China University of Technology, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China University of Technology, South China Institute of Environmental Sciences and South China University of Technology
Downloads 28 (1,359,097)
Citation 2

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High-resolution sampling, DIFS, Heavy Metals, Sediments, ecological risk

2.

Characteristics and Fractionations of Sediment Oxygen Demand in a Complex Tidal River Network Area

Number of pages: 39 Posted: 28 Nov 2023
Zhiwei Huang, Xiaochen Liu, Jing Wen, Huaiyang Fang, Shu Lin, Weijie Li, Jie Wang, Fantang Zeng, Hongwei Du and Lei Shi
South China Institute of Environmental Sciences, Jinan University, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, Jinan University, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences and Jinan University
Downloads 24 (1,424,331)
Citation 1

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sediment oxygen demand, diffusive gradients in thin films, tidal network, hypoxia, flux, organic matter

3.

Study on the Characteristics and Fractionation of Sediment Oxygen Demand in a Complex Tidal River Network Area

Number of pages: 41 Posted: 13 Mar 2023
Zhiwei Huang, Xiaochen Liu, Jing Wen, Huaiyang Fang, Shu Lin, Weijie Li, Fantang Zeng, Lei Shi and Hongwei Du
South China Institute of Environmental Sciences, Jinan University, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, Jinan University and South China Institute of Environmental Sciences
Downloads 21 (1,436,435)

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sediment oxygen demand, diffusive gradients in thin films, tidal network, hypoxia

4.

Application of Data Quality Optimization and Machine Learning Techniques to Predict the Dissolved Oxygen Concentration in the Tide-Sensitive Tanjiang River

Number of pages: 46 Posted: 08 Nov 2023
Wei Liu, Shu Lin, Xiaobao Li, Wenjing Li, Huaiyang Fang, Weijie Li and Hong Deng
South China University of Technology, South China Institute of Environmental Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences and South China University of Technology
Downloads 19 (1,459,862)

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DO prediction, Support vector machine, Maximum information coefficient, Kernel function selection, Data quality optimization

5.

Enhanced Tidal Forcing Drives Estuarine Hypoxia Beyond Temperature and Human Impacts

Number of pages: 28 Posted: 01 Apr 2026
Yingqiang Lin, Desheng Meng, Chengguang Lai, Jie Jiang, Zifeng Deng, Xiangdong Lei, Weijie Li, Zhiwei Huang, Lingfang Fu, Jing Wen, zhaoli Wang and Shu Lin
affiliation not provided to SSRN, South China University of Technology, South China University of Technology, South China University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China Institute of Environmental Sciences, South China University of Technology and South China Institute of Environmental Sciences
Downloads 5 (1,571,455)

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dissolved oxygen, Tidal effects, LSTM, Model explainability, Dongjiang River estuary