- 🔭 I’m currently a PhD candidate (2022~) @ Sun Yat-sen University, Zhuhai, China.
- 🌱 My background is in hydrology, with a particular interest in multi-disciplinary hydrological fields, including the changes in hydrological processes in the context of a warming climate and enhanced human activities, the causes and consequences of hydrological extremes, and the associated effects on ecology and human systems.
- 🤔 I'm also enthusiastic about unraveling the causes, processes and consequences of hydrological extremes using artificial intelligence techniques.
- 📫 How to reach me: my personal Email: [email protected] (or [email protected]) wechat ID: huangzq1681
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Sun Yat-sen University
- Guangzhou, China
Highlights
- Pro
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TP_snowdrought_2024
TP_snowdrought_2024 PublicData and code support the manuscript "Anthropogenic Activities and La Niña Events Contribute to the 2020~2022 Continuous Snow Drought in Asia’s Water Tower" by Zeqin Huang et al.
Jupyter Notebook 2
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anomalous_PREC_2022
anomalous_PREC_2022 PublicJupyter notebooks supports the manuscript "Long-term Changes, Synoptic Behaviors, and Future Projections of Large-scale Anomalous Precipitation Events in China Detected by A Deep learning"
Jupyter Notebook 2
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YRB_heatwave_2023
YRB_heatwave_2023 PublicPython code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anthropogenic warming to the unprecedented 2022 Yangtze River Ba…
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Rx1day_decompose_DNA_2022
Rx1day_decompose_DNA_2022 PublicDecompose historical changes in regional precipitation extremes into thermodynamic and dynamic components, and perform detection and attribution analyses
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HWdna_2022
HWdna_2022 PublicPython codes for hot extremes detection and attribution from the perspective of thermodynamic and dynamic mechanisms
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Explainable_Acid_Rain_Predict
Explainable_Acid_Rain_Predict Publicpython code for explainable acid rain prediction using XGBoost and SHAP
Jupyter Notebook 3
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