Ganquan Mao, a Research Assistant Professor fellow at Southern University of Science and Technology, is mainly engaged in the research of regional meteorology and hydrology and water resources. He has published 14 academic papers, including 10 SCI papers of internationally renowned journals such as Bulletin of the American Meteorological Society, Hydrology and Earth System Sciences, and Nature Sustainability (8 papers from JCR Q1), five first author/Corresponding author papers, total cation is 150. He has also applied for 2 invention patents and developed a large-scale distributed hydrological model WAYS (Water And ecosYstem Simulator).

 

Research Area:

• Large scale hydrological model development
• Impacts of anthropogenic climate change on water resources
• Water cycle intensification on land

 

Projects:

• Research on Risk Adaptation of Global Extreme Hydrological Events Based on Virtual Water Trade Theory, Ministry of Science and Technology of the People’s Republic of China, National Key R&D Program of China (NO. 2017YFA06003704), 2017/07-2022/06, HOST (1.1 Million CNY)
• Water Resources Evaluation in Natural-economic System, National Natural Science Foundation of China, Distinguished Young Scholar (41625001), 2017/01-2021/12, Key Member (4 Million CNY)
• Climate and Water in Great River Region in Southeast-South Asia, Chinese Academy of Sciences, Strategic Priority Research Program (XDA20060400), 2018/03-2023/02, Key Member (27.82 Million CNY)

 

Patents:

• A method for root zone water storage capacity estimation, Patent No. 2019104406017
• A method for water scarcity risk assessment, Patent No. 2019104396617

 

Academic Appointments:

• Contributing Author, IPCC (Intergovenmental Panel on Climate Change) Sixth Assessment Report, Chapter 4. Water

 

Journal Articles:

1. Mao, G., & Liu, J. (2019). A hydrological model for root zone water storage simulation on a global scale. Geoscientific Model Development, accepted [IF:5.154]
2. Mao, G., Liu, J., Han, F., Meng, Y., Tian, Y., Zheng, Y., & Zheng, C. (2019). Assessing the interlinkage of green and blue water in an arid catchment in Northwest China. Environmental Geochemistry and Health. doi:10.1007/s10653-019-00406-3 [IF: 3.252]
3. Liu, J., Bawa, K. S., Seager, T. P., Mao, G., Ding, D., Lee, J. S. H., & Swim, J. K. (2019). On knowledge generation and use for sustainability. Nature Sustainability, 2(2), 80–82. doi:10.1038/s41893-019-0229-y
4. Zang, C., & Mao, G.* (2019). A Spatial and Temporal Study of the Green and Blue Water Flow Distribution in Typical Ecosystems and its Ecosystem Services Function in an Arid Basin. Water, 11(1), 97. doi:10.3390/w11010097 [IF: 2.524]
5. Liu, J., Mao, G., Hoekstra, A. Y., Wang, H., Wang, J., Zheng, C., et al. (2018). Managing the energy-water-food nexus for sustainable development. Applied Energy, 210, 377–381. doi:10.1016/J.APENERGY.2017.10.064 [IF: 8.426]
6. Zhang, R., Liu, J., Gao, H., & Mao, G. (2018). Can multi-objective calibration of streamflow guarantee better hydrological model accuracy? Journal of Hydroinformatics, 20(3), jh2018131. doi:10.2166/hydro.2018.131 [IF: 1.908]
7. Mao, G., Xia, J., He, X., Tang, Y., & Liu, J. (2017). Hydrology in a coupled human-natural system: Research, innovation, and practices. Bulletin of the American Meteorological Society, 98(12), ES295–ES298. doi:10.1175/BAMS-D-17-0193.1  [IF: 8.166]
8. Mao, G.*, Vogl, S., Laux, P., Wagner, S., & Kunstmann, H. (2015). Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data. Hydrology and Earth System Sciences, 19(4), 1787–1806. doi:10.5194/hess-19-1787-2015 [IF: 4.936]
9. Tang, G., Zhu, X., Hu, B., Xin, J., Wang, L., Münkel, C., Mao, G. & Wang, Y. (2015). Impact of emission controls on air quality in Beijing during APEC 2014: Lidar ceilometer observations. Atmospheric Chemistry and Physics, 15(21), 12667–12680. doi:10.5194/acp-15-12667-2015  [IF: 5.668]
10. 10. Vogl, S., Laux, P., Qiu, W., Mao, G., & Kunstmann, H. (2012). Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields. Hydrology and Earth System Sciences, 16(7), 2311–2328. doi:10.5194/hess-16-2311-2012 [IF: 4.936]
11. Meng. Y., Liu, J., Wang, J., Mao, G., Wang, K., Wang, Z., & Wang, M. (2018). Ecosystem services for ecological civilization – Review of the 9th Ecosystem Services Partnership World Conference in 2017 [in Chinese]. Acta Ecologica Sinica, 38(11), 4088–4095. doi:10.5846/stxb201803090473
12. Zhang, D., Shao, G., Guan, Y., Zhang, Q., Mao, G., & Ye, B. (2016). Study of Pollution load of nitrogen and phosphorus in lake of Taihu Basin river-net area: a case study of Nanhudang Lake in Changshu City, Jiangsu Province [in Chinese]. Water Resources Protection, 32(2), 106–110. doi:10.3880/j.issn.1004-6933.2016.02.022
13. Zhang, D., Mao, G., & Guan, Y. (2008). Small scale variability of dinoseb sorption in batch experiment. In 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008. doi:10.1109/ICBBE.2008.533
14. Guan, Y., Mao, G., & Wang, J. (2008). Estimating the Ecological Water Demand of Zhangweinan River. In H. Zhang, R. Zhao, & H. Zhao (Eds.), International Symposium of HAI Basin Integrated Water and Environment Management 2008: River Basin Research Planning Approach (pp. 125–131). Sydney: Curran Associates. http://www.proceedings.com/25611.htmldoi:10.3880/j.issn.1004-6933.2016.02.022

 

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