Personal Profile

Cao Qing, Ph.D., is an associate professor in the Department of Hydrology and Meteorology, School of Hydrology and Water Resources Engineering, Nanjing University of Information Science and Technology. She is a review expert for the National Natural Science Foundation of China, and high-quality scientific and technological journals in the field of hydrometeorological science. Her main research directions are the impact of climate change on hydrology and water resources, the use of statistical models and artificial neural network models to analyze and predict hydrological elements, etc. She has presided over 5 projects, such as the National Natural Science Foundation of China. She has published more than 20 academic papers, including more than 15 SCI-indexed papers, and applied for 3 invention patents. She mainly teaches undergraduate courses, including Introduction to Computational Thinking, GIS and Hydrometeorological Applications, Remote Sensing Hydrometeorology, Introduction to Water Conservancy Engineering, Water Conservancy Engineering Drawing and CAD, and postgraduate courses: Modern Hydrological Simulation and Forecasting, etc.

Publications 

1.     Cao, Q., Yuan, X., Yan Q., Zhu F., 2023. Decadal change of rainfall erosivity during rainy season in mainland China and its underlying causes. Journal of Hydrology, DOI:/10.1016/j.jhydrol.2023.129391

2.     Cao, Q., Hao, Z., Yuan, F., Su, Z., Berndtsson, R., Hao, J., Tsring, N., 2017b. Impact of ENSO regimes on developing- and decaying-phase precipitation during rainy season in China. Hydrology and Earth System Sciences, 21: 1-12. DOI:10.5194/hess-21-5415-2017

3.     Cao, Q., Hao, Z., Shao, Q., Hao, J., Nyima, T., 2018. Variability of onset and retreat of the rainy season in mainland China and associations with atmospheric circulation and sea surface temperature. Journal of Hydrology, 557: 67-82. DOI:10.1016/j.jhydrol.2017.12.026

4.     Cao, Q., Hao, Z., Zhou, J., Wang, W., Yuan, F., Zhu, W., Yu, C., 2019b. Impacts of various types of El Niño–Southern Oscillation(ENSO) and ENSO Modoki on the rainy season over the Huaihe River basin. International Journal of Climatology, 5(39): 2811-2824. DOI:10.1002/joc.6002

5.     Cao, Q., Zhang, H., Zhu, F., Hao, Z., Yuan, F., 2022. Multi‐step‐ahead flood forecasting using an improved BiLSTM‐S2S model. Journal of Flood Risk Management, 15(4): e12827. DOI:10.1111/jfr3.12827

6.     Cao, Q., Hao, Z., Yuan, F., Berndtsson, R., Xu, S., Gao, H., Hao, J., 2019a. On the Predictability of Daily Rainfall during Rainy Season over the Huaihe River Basin. Water, 11(5): 916. DOI:10.3390/w11050916

7.     Cao, Q., Hao, Z., Yuan, F., Su, Z., Berndtsson, R., 2017a. ENSO Influence on rainy season precipitation over the Yangtze River basin. Water, 9(7): 469. DOI:10.3390/w9070469

8.     Cao, Q., CHEN, X., ZHANG, Y., 2022a. Impacts of Various Types of El Niño–Southern Oscillation (ENSO) and ENSO Modoki on the rainy season over the Pearl River Basin (in Chinese). Journal of China Hydrology. DOI:10.19797/j.cnki.1000-0852.20210515

9.     Cao, Q., ZHANG, H., CHEN, X., ZHANG, Y., 2022b. Spatio-Temporal Patterns of Rainy-Season Features and Analysis of Teleconnetion In The Yangtze River Basin (in Chinese). Environmental Engineering, 40(9): 101-107. DOI:10. 13205 /j.hjgc.202209014

10.   Zhang, H., Cao, Q.*, Gao, H., Wang, P., Zhang, W., Yousefi, N., 2020. Optimum design of a multi-form energy hub by applying particle swarm optimization. Journal of Cleaner Production: 121079. DOI:10.1016/j.jclepro.2020.121079

11.   Zhang, M., Cao, Q.*, Zhu, F., Lall, U., Hu, P., Jiang, Y., Kan, G., 2022. The asymmetric effect of different types of ENSO and ENSO Modoki on rainy season over the Yellow River basin, China. Theoretical Applied Climatology, 149(3-4): 1567-1581. DOI: 10.1007/s00704-022-04128-y

12.   Sun, Z., Cao, Q.*, Zhang, H., Hao, W., 2022. Spatio-temporal evolution of rainy season characteristics and their causes in Ningxia Region (in Chinese). Yangtze River, 53(9): 64-71. DOI:10.16232/j.cnki.1001-4179.2022.09.011

13.   Zhang, H., Cao, Q.*, 2022a. Effects of Rainfall Time Scale on CASC2D Model (in Chinese). Journal of China Hydrology, 42(5): 1-6. DOI:10.19797/j.cnki.1000-0852.20210316

14.   Zhang, H., Cao, Q.*, 2022b. Modelling the Loess Plateau Runoff and Sediment Variation with the CASC2D-SED and GSSHA Models. Energy reports. DOI:10.21203/rs.3.rs-1574446/v1

15.   Zhu, F., Zhong, P., Cao, Q., Chen, J., Sun, Y., Fu, J., 2019a. A stochastic multi-criteria decision making framework for robust water resources management under uncertainty. Journal of Hydrology, 576: 287-298. DOI:10.1016/j.jhydrol.2019.06.049

16.   Zhu, W., Jia, S., Lall, U., Cao, Q., Mahmood, R., 2019b. Relative contribution of climate variability and human activities on the water loss of the Chari/Logone River discharge into Lake Chad: A conceptual and statistical approach. Journal of Hydrology, 569: 519-531. DOI:10.1016/j.jhydrol.2018.12.015

17.   Chen, S., Yan, Q., Jin, S., Huang, W., Chen, T., Jia, Y., Liu, S., Cao, Q., 2022. Soil Moisture Retrieval from the CyGNSS Data Based on a Bilinear Regression. Remote Sensing, 14(9): 1961. DOI:10.3390/rs14091961

18.   Su, Z., Hao, Z., Yuan, F., Chen, X., Cao, Q., 2017. Spatiotemporal Variability of Extreme Summer Precipitation over the Yangtze River Basin and the Associations with Climate Patterns. Water, 9(11): 873. DOI:10.3390/w9110873

19.   Wang, W., Dong, Z., Zhu, F., Cao, Q., Chen, J., Yu, X., 2018. A Stochastic Simulation Model for Monthly River Flow in Dry Season. Water, 10(11): 1654. DOI:10.3390/w10111654

20.   Yuan, F., Liu, J., Berndtsson, R., Hao, Z., Cao, Q., Wang, H., Du, Y., An, D., 2020. Changes in Precipitation Extremes over the Source Region of the Yellow River and Its Relationship with Teleconnection Patterns. Water, 12(4): 978. DOI:10.3390/w12040978

21.   Zhou, J., Bao, W., Tick, G.R., Moftakhari, H., Cao, Q., Ye, F., 2022. A weighting function model for unsteady open channel friction. Journal of Hydraulic Research, 60(3): 460-475. DOI:10.1080/00221686.2021.2004251

22.  Ju, Q., Liu, Z., Wang, Z., Yang, B., Wang, W., Gao, H., Cao, Q., 2022. Evolution and Prediction of Land Use Pattern in Songhuajiang River Basin (in Chinese). Journal of China Hydrology, 42(5): 1-6. DOI:10.19797/j.cnki.1000-0852.20210209

Projects

1) The National Natural Science Foundation of China (No. 42201025), Research on the physical causes of frequent anomalies of the onset of spring rainy season in the middle and lower reaches of the Yangtze River basin, total amount ¥300,000

2) The Startup Foundation for Introducing Talent of NUIST (No.2020r080), Predicting the Characteristics of Rainy Season in the Middle and Lower Reaches of the Yangtze River Plain under the Conditions of Climate Change, total amount ¥100,000

3) The Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (No. 2020491211), The effect of ENSO on rainy-season features and floods over the Yangtze River basin under the influence of climate change, total amount ¥80,000

4) Excellent Ph.D. Fund Project (No. 2018B41214), Research on the Characteristics of Regional Hydrological Elements and Drought-Flood Prediction under the Influence of ENSO and other Climate Factors, total amount ¥34,000

 5) The Natural Science Foundation of the Jiangsu Province Higher Education Institutions of China (No. 21KJB570012), The Impact of ENSO on the Rainy Season Droughts and Floods in the Taihu Lake Basin under the Conditions of Climate Change, total amount ¥30,000 

Awards

1) 2018 The Second Prize of the Postgraduate Forum of the Joint Annual Conference of Jiangsu Geographical Society and Jiangsu Remote Sensing and Geographic Information System Society

2) 2018 Outstanding Graduate Student of Hohai University

3) 2017 Outstanding Graduate Student of Hohai University

4) 2015 Outstanding Bachelor Thesis of Hubei Province

5) 2013 The third prize in the National Zhou Peiyuan College Students Mechanics Competition

6) 2013 Excellence Award in the English Non-Professional Translation Group of the 19th Hubei Provincial Foreign Language Translation Competition

Review Experience

I am a reviewer for several international journals, such as Journal of Hydrology, Hydrology and Earth System Sciences, International Journal of Climatology and Water.

Teaching Experience

I mainly teach undergraduate courses: Introduction to Computational Thinking, GIS and Hydrometeorological Applications, Remote Sensing Hydrometeorology, Introduction to Water Conservancy Engineering, Water Conservancy Engineering Drawing and CAD, and postgraduate courses: Modern Hydrological Simulation and Forecasting.