QIANGLI
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Qiang Li (李强)

I am a PhD student specializing in hydraulic engineering at Sun Yat-sen University, working under the mentorship of Prof. Tongtiegang Zhao (赵铜铁钢). Before that, I did my master's degree in geography and bachelor's degree in geology advised by Prof. Yonggui Wang (王永桂) at China University of Geosciences, Wuhan.
POI : Physics-guided ML & Explainable AI & Hydrology

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News

Recent Projects

Actually, a diversity of influential machine learning approaches have already been applied across all the major sub-domains of Earth system science and are increasingly being integrated into operational schemes and being used to discover patterns, to improve our understanding and to evaluate comprehensive physical models (Reichstein et al., 2019). I have done several related projects in CUG including rainfall-runoff prediction and water quality prediction with long-short term memory (LSTM) in Haihe River Basin, Huangshui River Basin, and Yangtze River Basin between 2019 to 2022. Currently, I attempt to break through accuracy-interpretability dilemma of deep learning. I am concentrating on Physics-guided Deep Learning (PGDL), which combines physics laws and deep learning to gain superior performance and more interpretability.

Talks

Publications

I'm interested in devleoping efficient deep learning models for Earth system sciences (e.g. hydrology, extreme meteorological event, water quality, and disaster prediction) and revealing their insight as well as interpretability.

Journal Papers:

  1. Comparative Analysis of Water Quality Prediction Performance based on LSTM in Haihe River Basin, China
    Qiang Li, Yinqun Yang, Ling Yang, Yonggui Wang*
    Environmental Science and Pollution Research (IF=5.190) 2022 | paper | code

  2. Comparative Analysis of Water Quality Prediction based on LSTM in Different River Basins, China
    Qiang Li, Yinqun Yang, Ling Yang, Yonggui Wang*
    Journal of Environmental Management (IF=8.910) 2022 (Under review) | code

  3. The Architecture and Application of an Automatic Operational Model System for Basin Scale Water Environment Management and Design Making Supporting
    Yonggui Wang, Qiang Li, Wanshun Zhang, Shan Hu, Hong Peng*
    Journal of Environmental Management (IF=8.910) 2021 | paper | pdf

  4. Pollutants Removal Efficiency Assessment of Constructed Subsurface Flow Wetlands in Lakes with Numerical Models
    Yonggui Wang, Qiang Li, Wanshun Zhang, Shaofei Wang, Hong Peng*
    Journal of Hydrology (IF=6.708) 2021 |paper | pdf

  5. Early Warning of Heavy Metal Pollution after Tailing Pond Failure Accident
    Yonggui Wang, Yinqun Yang*, Qiang Li, Yaxin Zhang, Xiaolong Chen
    Journal of Earth Science (IF=2.433) 2022 | paper | pdf

Invention Patents:

  1. Water Quality Prediction Method of River Sudden Water Pollution Accident based on Improved LSTM-SEQ2SEQ Model
    Qiang Li, Yonggui Wang, Yaxin Zhang
    China Invention Patent 2022 (Authorized) | certificate
    Included in Catalogue of Advanced and Applicable Technologies for Ecological and Environmental Protection of Wuhan, 2022

  2. Water Quality Prediction Method based on Physical-restrained and Process-Guided Deep Learning Model
    Qiang Li, Yonggui Wang
    China Invention Patent 2022 (Authorized) | certificate

  3. A Method and System for Collecting Hydrologic and Water Quality Data based on Web Crawler
    Tianyi Xie, Yonggui Wang, Qiang Li
    China Invention Patent 2020 (Under substantive review) | certificate

Software Copyright:

  1. Intelligent Service System for Water Quality Monitoring and Early Warning
    Qiang Li, Yonggui Wang, Tianyi Xie
    China Software Copyright 2020 (Authorized) | certificate

  2. Service System for Hydrological and Water Quality Data
    Tianyi Xie, Yonggui Wang, Qiang Li
    China Software Copyright 2020 (Authorized) | certificate

Services

Awards

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