朱双，博士，特任教授（研究员），博士生导师，地大学者青年拔尖人才，从事水文水资源分析模拟、数据挖掘、智慧水利与应急管理研究。承担国家自然科学基金青年项目、国家重点实验室开放基金，发表论文30余篇。

招收地理学学硕，资源与环境、电子信息专硕；

招收测绘科学与技术博士研究生。

期刊论文

[1]        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.

[2]        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.

[3]        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.

[4]        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).

[5]        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.

[6]        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.

[7]        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.

[8]        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.

[9]        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.

[10]     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.

[11]     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.

[12]     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.

[13]     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.

[14]     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.

[15]     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.

[16]     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.

[17]     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.

[18]     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.

[19]     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.

[20]     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.

[21]     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.

[22]     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.

[23]     孙娜, 周建中*, 朱双, 李薇, 彭甜. 基于小波分析的两种神经网络耦合模型在月径流预测中的应用. 水电能源科学, 2018, 36(04): 14-17.

[24]     C Meng, J Zhou*, M Dai, S Zhu. Variable infiltration capacity model with BGSA-based wavelet neural network. Stochastic Environmental Research & Risk Assessment, 2017, 31(7):1-15.

[25]     S Zhu, J Zhou*, M Xie, J Wu, X Ding. A hybrid model integrated variable fuzzy set theory and set pair analysis for water quality assessment in Huai River Basin. IEEE International Conference on Knowledge Engineering and Applications, IEEE, 2017: 251-254.

[26]     S Zhu, J Zhou*, L Ye, C Meng. Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China. Environmental Earth Sciences, 2016, 75(6): 531.

[27]     C Meng, J Zhou*, T Muhammad, S Zhu. Integrating Artificial Neural Networks into the VIC Model for Rainfall-Runoff Modeling. Water, 2016, 8(9): 407.

[28]     M Xie, J Zhou, S Zhu, W Zhang. Multi-objective optimization of cascade hydro plants in dry season. International Conference on Civil, Architectural and Hydraulic Engineering, 2016.

[29]     J Wu, J Zhou*, S Zhu, H Zhang, J Guo. An Efficient Parameter Calibration Method for API Hydrological Model. International Conference on Architectural, Civil and Hydraulics Engineering. 2016.

[30]     M Xie, J Zhou*, C Li, S Zhu. Long-term generation scheduling of Xiluodu and Xiangjiaba cascade hydro plants considering monthly streamflow forecasting error. Energy Conversion & Management, 2015, 105:368-376.

主持科研项目

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

5.十余项横向课题