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  1. Linwei Yue, Baoguang Li, Shuang Zhu*, et al. A fully automatic and high-accuracy surface water mapping framework on Google Earth Engine using Landsat timeseries[J]. International Journal of Digital Earth, 2023, 16(1): 210-233.

  2.  Shuang Zhu, Jianan Wei, Hairong Zhang*, et al. Spatiotemporal deep learning rainfall-runoff forecasting combined with remote sensing precipitation products in large scale basins[J]. Journal of Hydrology, 2023, 616: 128727.

  3. Jun Guo, Yi Liu*, Qiang Zou, Lei Ye, Shuang Zhu, et al. Study on optimization and combination strategy of multiple daily runoff prediction models coupled with physical mechanism and LSTM[J]. Journal of Hydrology, 2023, 624: 129969.

  4. Shuang Zhu, Wenying Huang, Xiangang Luo, et al. The Spread of Multiple Droughts in Different Seasons and Its Dynamic Changes[J]. Remote Sensing, 2023, 15:3848.

  5. S Zhu, X Chen, X Luo*, K Luo, J Wei, J Li, Y Xiong. Enhanced Probabilistic Spatiotemporal Wind Speed Forecasting Based on Deep Learning, Quantile Regression, and Error Correction. Journal of Energy Engineering, 2022, 148(2): 04022004.

  6. Guo Y, Xu Z, Zhu S*, et al. Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning. Natural Hazards, 2023, 115: 1167-1192.

  7.  Zhu S, Kong R, Luo X, et al. An improved potential landslide hazard points evaluating method considering the heterogeneity of environmental features[J]. International Journal of Environmental Science and Technology, 2022: 1-18.

  8. 朱双, 李建庆, 罗显刚*, 雷晓辉, 王超, 胡国丰. 气候变化和都市化双重驱动下流域未来水文响应. 人民长江, 2021, 52(11): 86-91.

  9. 肖祖香, 朱双, 罗显刚*, 娄连惠, 李江. 三江源区多尺度水文干旱特征及植被的响应. 河海大学学报(自然科学版), 2021, 49(6): 515-520.

  10. Y Li, F Lin, L Lou*, J Li, Z Xu, S Zhu, X Luo, G Huo, Q Zhao. Performance analysis of landslide susceptibility assessment under different factor-filtering models. Arabian Journal of Geosciences volume, 2021, 14(12).

  11. S Zhu, X Luo, S Chen*, Z Xu, H Zhang, Z Xiao. Improved Hidden Markov Model Incorporated with Copula for Probabilistic Seasonal Drought Forecasting. Journal of Hydrologic Engineering, 2020, 25(6): 04020019.

  12. S Zhu, X Luo, X Yuan*, Z Xu. An Improved Long Short-Term Memory Network for Streamflow Forecasting in the Upper Yangtze River. Stochastic Environmental Research and Risk Assessment, 2020, 34(9): 1313-1329.

  13. S Zhu, Z Xiao, X Luo*, H Zhang, Z Huo. Multidimensional Response Evaluation of Remote-Sensing Vegetation Change to Drought Stress in the Three-River Headwaters, China. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13: 6249-6259.

  14. S Zhu, Z Xu, X Luo*, X Liu, Z Huo. Internal and external coupling of Gaussian mixture model and deep recurrent network for probabilistic drought forecasting. International Journal of Environmental Science and Technology, 2020, 18: 1221-1236.

  15. X Luo, J Li, S Zhu*, Z Xu, Z Huo. Estimating the Impacts of Urbanization in the Next 100 years on Spatial Hydrological Response. Water Resources Management, 2020, 34: 1673-1692.

  16. Z Xu, L Cao, S Zhong*, S Zhu, X Luo. Trends in Global Vegetative Drought From Long-Term Satellite Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 815-826.

  17. J Wang, S Zhu, X Luo*, G Chen, Z Xu, X Liu, Y Li. Refined micro-scale geological disaster susceptibility evaluation based on UAV tilt photography data and weighted certainty factor method in Qingchuan County. Ecotoxicology and Environmental Safety, 2020, 191: 110221.

  18. S Zhu, Z Xu, X Luo*, C Wang, H Zhang. Quantifying the Contributions of Climate Change and Human Activities to Drought Extremes, Using an Improved Evaluation Framework. Water Resources Management, 2019, 33(15): 5051-5065.

  19. S Zhu, Z Xu, X Luo, C Wang, J Wu. Assessing coincidence probability for extreme precipitation events in the Jinsha River basin. Theoretical and Applied Climatology, 2019, 139(1-2): 825-835.

  20. S Zhu, X Yuan, Z Xu, Xg Luo*, H Zhang. Gaussian mixture model coupled recurrent neural networks for wind speed interval forecast. Energy Conversion and Management, 2019,   198: 111772.

  21. S Zhu, X Luo, Z Xu*, L Ye. Seasonal streamflow forecasts using mixture-kernel GPR and advanced methods of input variable selection. Hydrology Research, 2019, 50 (1): 200-214.

  22. X Luo, X Yuan*, S Zhu, Z Xu, L Meng, J Peng. A hybrid support vector regression framework for streamflow forecast. Journal of Hydrology, 2019, 568: 184-193.

  23. X Luo, F Lin, Y Chen, S Zhu, Z Xu*, Z Huo, M Yu, J Peng. Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features. Scientific Reports, 2019, 9: 15369.

  24. 李建庆, 罗显刚, 朱双*, 张炜, 徐战亚, 霍志彬, 田壮, 霍光杰. 北江流域土地利用/覆盖变化对水文过程影响研究. 人民长江,  2020, 51(8): 89-94.

  25. XG Luo, J Wang*, Z Xu, S Zhu, L Meng, J Liu, Y Cui. Dynamic analysis of urban ground subsidence in Beijing based on the permanent scattering InSAR technology. Journal of Applied Remote Sensing, 2018, 12(2): 026001.

  26. Q Li, X Liu, Y Zhong*, M Wang, S Zhu. Estimation of Terrestrial Water Storage Changes at Small Basin Scales Based on Multi-Source Data. Remote Sensing, 2021, 13(16): 3304.

  27. X Luo, F Lin, S Zhu*, M Yu*, Z Zhang, L Meng, J Peng. Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors. PLoS ONE, 2019, 14(4): e0215134.

  28. X Luo, J Wang, G Chen*, S Zhu, Z Huo, X Liu, W Deng. Research on distribution of suspended sediment concentration in long time series based on mid-resolution imaging spectrometer data and quantile trend analysis. Regional Studies in Marine Science, 2020, 39: 101399.


1. 中国地质大学(武汉)“地大学者”青年拔尖人才计划项目

2. 国家自然科学基金青年项目

3. 国家重点实验室开放基金,融合多元时空数据的干旱半干旱区径流响应与预报研究

4. 湖北省重点实验室开放基金,顾及气象-水文-环境时空特征的长江中上游人工智能径流预测与实时校正方法研究


  • Education Background
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2012-9 | 2017-6
  • 华中科技大学
  • Mapping
  • Faculty of Higher Institutions
  • Doctoral Degree in Engineering

2008-9 | 2012-6
  • 华中科技大学
  • Mapping
  • Editor
  • Bachelor's Degree

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender : Female

Date of Birth : 1990-02-19

Alma Mater : 华中科技大学

Education Level : Faculty of Higher Institutions

Degree : Doctoral Degree in Engineering

Status : Employed

School/Department : 地理与信息工程学院

Date of Employment : 2017-06-30

Business Address : 中国地质大学未来城校区地理与信息工程学院535

Contact Information : zhushuang@cug.edu.cn

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