Specialist in Urban Sustainability and Climate Change Resilience
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Dr Qian Ke is a specialist in the Urban Sustainability and Climate Change Resilience Department at IHS. She is involved in teaching on the Urban Environment, Sustainability and Climate Change Master track, and other research and advisory projects.
Qian received her PhD degree from the Delft University of Technology in 2014. After that, she worked for a Dutch research and consultancy company (Deltares) in 2015-2016 and a Chinese research institute/NGO affiliated with an insurance intermediary group (MINTAIAN) in 2016-2017. During that time, she has managed and coordinated many advisory projects related to urban safety and security for the government, insurance companies and the EU. In the years 2017 – 2021, she worked as a postdoc researcher at the Department of hydraulic engineering at Delft University of Technology. She was working for an NWO research project on sustainable delta under climate change, with a focus on Shanghai city in China and an EU project on sustainable and resilient coastal cities (SARCC), for the case studies of Vlissingen, NL and Southend-on-Sea, UK.
Her research interest is mainly in the field of flood risk management, numerical modelling and nature-based solutions to address water issues in the context of climate change. She is also interested in the application of machine learning methods for hydrological problems. She has published more than 20 peer-reviewed journal papers and conference papers. Besides, she is an associated editor of the Journal of Coastal and Riverine Flood risk since 2022.
|Hooimeijer, F., Diaz, A., Bortolotti, A., Ke, Q., Heuvel, J. van der and Bricker, J. (2022). Design & assessing the flood risk management paradigm shift : an interdisciplinary study of Vlissingen, the Netherlands. Journal of Urbanism : International Research on Placemaking and Urban Sustainability, (First online 25 July 2022) https://doi.org/10.1080/17549175.2022.2093258|
Tian, Z., Yu, Z., Li, Y., Ke, Q., Liu, J., Luo, H. and Tang Y. (2022). Prediction of river pollution under the rainfall-runoff impact by artificial neural network : a case study of Shiyan River, Shenzhen, China. Frontiers in Environmental Science. (First online 22 June 2022) https://doi.org/10.3389/fenvs.2022.887446
|Wüthrich, D., Teng, D., Ke, Q., Diaz, A., Bortolotti, A., Iuorio, L. and Hooimeijer, F. (2022). Sustainable And Resilient Coastal Cities (SARCC): interdisciplinary flood protection strategies for Southend-on-Sea (UK). In Proceedings of the 39th IAHR World Congress, 19–24 June 2022, Granada, Spain, (pp. 6370-6379).|
Xu H., Tian Z., Sun, L., Ye, Q., Ragno, E., Bricker, J., Mao, G., Tan, J., Wang, J., Ke, Q., Wang, S., and Toumi R. (2022). Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: the case of Shanghai. Natural Hazards and Earth System Sciences, vol. 22, 2347-2358. (First online 12 July 2022) https://doi.org/10.5194/nhess-22-2347-2022
|Ke Q., Yin, J., Bricker, J. D., Savage, N., Buonomo, E., Ye, Q., Visser, P., Dong, G., Wang, S., Tian, Z., Sun, L., Toumi, R. and Jonkman, S. N. (2021). An integrated framework of coastal flood modelling under the failures of sea dikes : a case study in Shanghai. Natural Hazards, 109, 671-703. (First online 23 June 2021) https://doi.org/10.1007/s11069-021-04853-z|
|Du, S., Scussolini, P., Ward, P. J., Zhang, M., Wen, J., Wang, L., Koks, E., Diaz-Loaiza, A., Gao, J., Ke, Q. and Aerts, J. C. J. H. (2020). Hard or soft flood adaptation? Advantages of a hybrid strategy for Shanghai. Global Environmental Change, 61, March, 102037. (First online 01 February 2020) https://doi.org/10.1016/j.gloenvcha.2020.102037|
|Huang, Y., Tian, Z., Ke, Q., Liu, J., Irannezhad, M., Fan, D., Hou, M. and Sun, L. (2020). Nature-based solutions for urban pluvial flood risk management. WIREs Water, 7(3), May/June, e1421. (First online 12 March 2020) https://doi.org/10.1002/wat2.1421|
Ke, Q., Bricker, J. D., Ye, Q., Acevedo Goldaracena, F., Hohmann, T. and Kallioras, A. (2020). Inundation modelling for fluvial and pluvial flooding during typhoons : a case study in Shanghai city. In W. Uijttewaal, M. J. Franca, D. Valero, V. Chavarrias, C. Y. Arbos, R. Schielen, and A. Crosato (Eds.), River Flow 2020 : Proceedings of the 10th Conference on Fluvial Hydraulics (1st ed., pp. 2014-2020). London: CRC Press.
|Ke, Q., Tian, X., Bricker, J., Tian, Z., Guan, G., Cai, H., Huang, X. Yang, H. and Liu, J. (2020). Urban pluvial flooding prediction by machine learning approaches - a case study of Shenzhen city, China. Advances in Water Resources, 145, November 2020, 103719. (First online 07 August 2020) https://doi.org/10.1016/j.advwatres.2020.103719|
Ke, Q., Xu, H. and Bricker, J. (2020). How can Shanghai cope with future sea level rise? DeltaLinks, February.
|Tu, H., Wang, X., Zhang, W., Peng, H., Ke, Q. and Chen, X. (2020). Flash flood early warning coupled with hydrological simulation and the rising rate of the flood stage in a mountainous small watershed in Sichuan Province, China. Water, 12(1), 255. (First online 16 January 2020) https://doi.org/10.3390/w12010255|
|Xia, H., Zhang, W., He, L., Ma, M., Peng, H., Li, L., Ke, Q., Hang, P. and Wang, X. (2020) Assessment on China's urbanization after the implementation of main functional areas planning. Journal of Environmental Management, 264, 15 June, 110381. (First online 23 March 2020) https://doi.org/10.1016/j.jenvman.2020.110381|
|Xi, H., Zang, W., Wang, H., Peng, H., Zhang, Z., Ke, Q. and Bu, S. (2020). Spatial-temporal patterns and characteristics of ecological function between 2009 and 2015 in China. Ecological Indicators, 116, September, 106478. (First online 16 May 2020) https://doi.org/10.1016/j.ecolind.2020.106478|
|Yin J., Jonkman, S., Lin, N., Yu, D., Aerts, J., Wilby, R., Pan, M., Wood, E., Bricker, J., Ke, Q., Zeng, Z., Zhao, Q., Ge, J. and Wang, J. (2020). Flood risks in sinking delta cities : time for a reevaluation? Earth's Future, 8(8), August, e2020EF001614. (First online 03 August 2020 https://doi.org/10.1029/2020EF001614|
|Chen, X., Xu, G., Zhang, W., Peng, H., Xia, H., Zhang, X., Ke, Q. and Wan, J. (2019). Spatial variation pattern analysis of hydrologic processes and water quality in Three Gorges Reservoir area. Water 11(12), 2608. (First online 11 December 2019) https://doi.org/10.3390/w11122608|
Shan, X., Wen J., Zhang, M., Wang, L., Ke, Q., Li, W., Du, S., Shi, Y., Chen, K., Liao, B., Li, X. and Xu, H. (2019). Scenario-based extreme flood risk of residential buildings and household properties in Shanghai. Sustainability, 11(11), 3202. (First online 08 June 2019) https://doi.org/10.3390/su11113202
|Yu, Y., Xu, H., Wang, X., Wen, J., Du, S., Zhang, M. and Ke, Q. (2019). Residents’ willingness to participates in green infrastructure : spatial differences and influence factors in Shanghai, China. Sustainability, 11(19), 5396. (First online 29 September 2019) https://doi.org/10.3390/su11195396|
|Ke, Q., Jonkman, S. N., Van Gelder, P. H. A. J. M. and Bricker, J. D. (2018). Frequency analysis of storm-surge-induced flooding for the Huangpu River in Shanghai, China. Journal of Marine Science and Engineering, 6(2), 70. (First online 11 June 2018) ; https://doi.org/10.3390/jmse6020070|
Ke, Q. (2014). Flood risk analysis for metropolitan areas - a case study for Shanghai [Doctoral dissertation, TU Delft]. TU Delft Institutional Repository. https://doi.org/10.4233/uuid:61986b2d-72de-45e7-8f2a-bd61c725325d
Ke, Q., Van Gelder, P. H. A. J. M., Jonkman, S. N. and Rijcken, T. (2012). An explorative analysis of the potential flood risk in downtown Shanghai city along the Huangpu River. In F. Klijn and T. Schweckendiek (Eds.), Comprehensive flood risk management : research for policy and practice, (pp. 737-74). London: CRC Press.