Name 

Shuang LIU 

Professional  

Title 

Assistant Professor 

Address  

E-mail 

liushuang@imde.ac.cn 

Professional  

Expertise 

Dr. Shuang Liu is an assistant professor at Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences. He got doctor degree of meteorology from Institute of Atmospheric Physics, Chinese Academy of Sciences. His research focuses on the monitoring, early warning and forecast of debris flows. His interests are also related to machine learning, hydrological model, and earth system model. 

Education 

2015.09 ~ 2018.06, Institute of Atmospheric Physics, Chinese Academy of Sciences, Meteorology, Ph.D. 

2012.09 ~ 2014.06, Sichuan Agricultural University, Agricultural Informatization, M.S. 

2008.09 ~ 2012.06, Sichuan Agricultural University, Ecology, B.S. 

Employment Record (including international working experience ) 

2018.08 ~, Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Assistant Professor. 

2014.08 ~ 2015.08, Institute of Atmospheric Physics, Chinese Academy of Sciences, Research Assistant. 

Running Projects 

1. National Key R&D Program of China (2018YFC1505205) 

2. Research on Intelligent Monitoring and Early Warning Technology of Debris Flow on Sichuan-Tibet Railway (K2019G006) 

3. CAS "Light of West China" Program 

Academic Society Activities 

Invited reviewer of international journals including Journal of Hydrology and Hydrological Processes. 

Awards 

Publications  

[1] Shuang Liu, Zhenghui Xie^*, Bin Liu, et al. (2020). Global river water warming due to climate change and anthropogenic heat emission. Global and Planetary Change 193, 103289.  

[2] Shuang Liu, Li Wei, and Kaiheng Hu^* (2020). Topographical and geological variation of effective rainfall for debris-flow occurrence from a large-scale perspective. Geomorphology 358:107134. 

[3] Jingwen Xu, Qun Zhang, Shuang Liu^*, et al. (2020). Ensemble learning of daily river discharge modeling for two watersheds with different climates. Atmos Sci Lett, e1000. 

[4] Shuang Liu^*, Kaiheng Hu^*, Shaojie Zhang, et al. (2019). Comprehensive Evaluation of Satellite-Based Precipitation at Sub-Daily Time Scales Over a High-Profile Watershed with Complex Terrain. Earth and Space Science. 6(12):2347-2361. 

[5] Shuang Liu, Zhenghui Xie^*, Yujin Zeng, et al. (2019). Effects of anthropogenic nitrogen discharge on dissolved inorganic nitrogen transport in global rivers, Global Change Biology, 2019, 25: 1493~1513. 

[6] Shuang Liu, Zhenghui Xie^*, Yujin Zeng, et al. (2018). Impacts of Human Activities on Land Surface Water and Energy—A Case Study in Weishui River Watershed[J]. Climatic and Environmental Research (in Chinese),23(6):683-701 (in Chinese). 

[7] Shuang Liu, Zhenghui Xie^*, Junqiang Gao, et al. (2018). Response of Carbon and Water Cycles to Climate Change in the High-Frigid Ecotone: A Case Study of Gannan Zone. Plateau Meteorology, 37(5): 1177-1187. (in Chinese). 

[8] Zhenghui Xie^*, Shuang Liu, Yujin Zeng, et al. (2018). A high-resolution land model with groundwater lateral flow, water use and soil freeze-thaw front dynamics and its applications in an endorheic basin. Journal of Geophysical Research-Atmospheres, 123, 7204–7222. 

[9] Shuang Liu, Zhenghui Xie^*, and Yujin Zeng (2016). Discharge Estimation for an Ungauged Inland River in an Arid Area Related to Anthropogenic Activities: A Case Study of Heihe River Basin, Northwestern China. Advances in Meteorology. Article ID 6716501. 

[10] Shuang Liu, Zhenghui Xie^*, and Yujin Zeng (2016). Estimation of streamflow in ungauged basins using a combined model of black-box model and semi-distributed model-taking Yingluoxia watershed as an example. Journal of Beijing Normal University (Natural Science).52(3): 393-401 (in Chinese).  

[11] Shuang Liu, Jingwen Xu^*, Junfang Zhao, et al. (2014). Efficiency enhancement of a process-based rainfall-runoff model using a new modified AdaBoost RT. technique. Applied Soft Computing, 23: 521-529. 

[12] Shuang Liu, Jingwen Xu^*, Junfang Zhao, et al. (2013). An innovative method for dynamic update of initial water table in XXT model based on neural network technique. Applied Soft Computing, 13: 4185-4193. 

[13] Shuang Liu, Jingwen Xu^*, Junfang Zhao, et al. (2013). A Novel Integrated Rainfall-Runoff Model Based on TOPMODEL and Artificial Neural Network. Applied Mechanics and Materials, 423: 1405-1408. 

[14] Shuang Liu, Jingwen Xu^*, Junfang Zhao, et al. (2013). Applicability of Modified TOPMODEL in the Arid Zone and the Humid Zone. Applied Mechanics and Materials, 423: 1418-1421. 

[15] Jingwen Xu^*, Shuang Liu, Junfang Zhao, et al. (2013). Research on the Variation in Soil Moisture in Arid Regions in Northern China Based on AMSR-E. Advanced Materials Research, 781: 2353-2356.