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教师列表

戴强

11368

戴强:博士、教授

联系方式

电子邮箱:q.dai@njnu.edu.cn

办公室地址:南京师范大学地理科学学院532A

通信地址:南京市栖霞区文苑路1


个人主页:www.hydro-hazard.com

ResearchGate: https://www.researchgate.net/profile/Qiang_Dai4

Google Citation: https://scholar.google.co.uk/citations?user=4pJfr0cAAAAJ&hl=en

ORCID: http://orcid.org/0000-0002-8359-5892

教育背景

2011.10-2015.02,布里斯托大学,土木工程系,博士

2009.09-2011.06,中山大学,遥感与地理信息工程系,硕士

2005.09-2009.06,南京师范大学,地理信息系统系,学士

研究经历

2020.07-  教授,地理科学学院,南京师范大学

2017.09-2019.03,博士后,工学院,布里斯托尔大学

2015.06-2020.06,副教授,地理科学学院,南京师范大学

主要研究方向

1. 水文遥感:研究基于雷达遥感方法的水文气象要素反演与误差建模,主要关注降雨与土壤湿度。

2. 城市内涝:研究变化环境下的城市水文过程、城市水灾害的脆弱性评估与弹性提升,以及GIS技术在城市内涝建模与管理中的应用。

3. 城市系统模型:研究自然灾害与社会经济的耦合过程,模拟地震、洪涝、滑坡等不同自然灾害对城市系统的综合影响。

欢迎对遥感与GIS在城市水文与灾害中的应用感兴趣,并有志进行科学研究的同学报考我们团队的硕士和博士研究生!

主要社会兼职

Water Resources Research》副主编(2021-

Journal of Hydrology》副主编(2021-

Remote Sensing》专刊“Remote Sensing for Streamflow Simulation”编辑

Hydrological Processes》副主编(2020-

国际雷达水文协会(WRaH)委员(2016-

国际数字地球协会中委会虚拟地理环境专业委员会委员(2019-

江苏省测绘地理青年工作委员会委员(2019-

荣誉和获奖情况

2019 江苏测绘地理信息科技进步一等奖(排名第一)

2019 江苏省测绘地理信息优秀青年科技工作者

2016 江苏青年地理科技奖

2015  布里斯托尔大学最优博士论文(Bristol University Prize for Best Thesis

2011-2014 布里斯托尔大学博士全额奖学金(University of Bristol Postgraduate Research Scholarship

近期发表论文(*通讯作者)

1. Dai, Q., Zhu, J., Zhang, S., Zhu, S., Han, D., & Lv, G., 2020, Estimation of rainfall erosivity based on WRF-derived raindrop size distributions, Hydrology and Earth System Sciences, 24, 5407–5422.

2. Yang, Q., Dai, Q*., Han, D., Zhu, Z., & Zhang, S., 2020, Uncertainty analysis of radar rainfall estimates induced by atmospheric conditions using long short-term memory networks, Journal of Hydrology, 590: 125482.

3. Dai, Q., Zhu, X., Zhuo, L., Han, D., Liu, Z., & Zhang, S., 2020. A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards. Environmental Modelling & Software, 127: 104684.

4. Zhuo, L., Dai, Q*., Zhao, B., & Han, D., 2020, Soil Moisture Sensor Network Design for Hydrological Applications, Hydrology and Earth System Sciences, 24: 2577–2591.

5. Zhao, B., Dai, Q*., Han, D., Zhang, J., Zhuo, L., & Berti, M, 2020, Application of hydrological model simulations in Landslide Predictions, Landslide, 17(4): 877-891.

6. Cai, J., Zhu, J., Dai, Q*., Yang, Q., & Zhang, S., 2020, Sensitivity of a weather research and forecasting model to downscaling schemes in ensemble rainfall estimation, Meteorological Applications, 27(1): e1806.

7. Zou, X., Dai, Q*., Wu, K., Yang, Q., & Zhang, S., 2020, An empirical ensemble rainfall nowcasting model using multi-scaled analogues, Natural Hazards, 103(1): 165-188.

8. Dai, Q., Yang, Q., Han, D., Rico-Ramirez, M.A., & Zhang, S., 2019. Adjustment of radargauge rainfall discrepancy due to raindrop drift and evaporation using the Weather Research and Forecasting model and dual-polarization radar. Water Resources Research, 55: 9211–9233.

9. Zhao, B., Dai, Q*., Han, D., Dai, H., Mao, J, Zhuo, L. & Rong, G., 2019, Estimation of soil moisture using modified antecedent precipitation index with application in landslide predictions, Landslide, 16: 2381-2393.

10. Zhuo, L., Dai, Q*., Han, D., Chen, N., & Zhao, B., 2019, Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM Land surface schemes for landslide hazard application, Hydrology and Earth System Sciences, 23: 4199–4218.

11. Zhu, X., Dai, Q*., Han, D., Zhuo, L., Zhu, S., & Zhang, S. 2019, Modeling the high-resolution dynamic exposure to flooding in a city region, Hydrology and Earth System Sciences, 23: 3353–3372.

12. Zhao, B., Dai, Q*., Han, D., Dai, H., Mao, J & Zhuo, L., 2019, Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds, Journal of Hydrology, 574: 276-287.

13. Yang, Q., Dai, Q*., Han, D., Chen, Y., & Zhang, S., 2019, Sensitivity analysis of raindrop size distribution parameterizations in weather research and forecasting rainfall simulation, Atmospheric Research, 228:1-13.

14. Zhuo, L., Dai, Q*., Han, D., Zhao, B., Chen, N., & Berit, M., 2019, Evaluation of remotely sensed soil moisture for landslide hazard assessment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,12(1): 162-173.

15. Dai, Q., Yang, Q., Zhang, J., & Zhang, S. 2018, Impact of gauge representative error on a radar rainfall uncertainty model, Journal of Applied Meteorology and Climatology, 57: 2769–2787.

16. Dai, Q., Bray, M., Zhuo, L., Islam, T., & Han, D. 2017, A scheme for raingauge network design based on remotely-sensed rainfall measurements, Journal of Hydrometeorology, 18: 363–379.

17. Dai, Q., Han, D. & Srivastava, P.K.. 2017, Sensitivity Analysis In Earth Observation Modelling: Radar-Rainfall Sensitivity Analysis, Elsevier

18. Dai, Q., Han, D., Zhuo, L., Zhang J., Islam, T., & Srivastava, P.K. 2016, Seasonal generation of ensemble radar rainfall estimates using copula and autoregressive model, Stochastic Environmental Research and Risk Assessment, 30(1): 27-38.

19. Zhuo, L., Han, D., & Dai, Q., 2016, Soil moisture deficit estimation using satellite multi-angle brightness temperature, Journal of Hydrology, 539: 392-405.

20. Zhuo, L., Dai, Q., Islam, T., & Han, D., 2016, Error distribution modelling of satellite soil moisture measurements for hydrological applications, Hydrological Processes, 30: 2223-2236.

21. Dai, Q., Han, D., Rico-Ramirez, M.A. & Srivastava, P.K.. 2016, Geospatial Technology for Water Resources Development: Spatio-temporal Uncertainty Model for Radar Rainfall, CRC Press

22. Dai, Q., Han, D., Rico-Ramirez, M.A., Zhuo, L., Nanding, N. & Islam, T., 2015, Radar rainfall uncertainty modelling influenced by wind, Hydrological Processes, 29: 1704-1716.

23. Dai, Q., Rico-Ramirez, M.A., Han, D., Islam, T. & Liguori S. 2015, Probabilistic radar rainfall nowcasts using empirical and theoretical uncertainty models, Hydrological Processes, 29: 66-79.

24. Dai, Q., Han, D., Zhuo, L., Huang J., Islam, T., & Srivastava, P.K. 2015, Impact of complexity of radar rainfall uncertainty model on flow simulation, Atmospheric Research, 161-162: 93-101.

25. Dai, Q., Han, D., Zhuo, L., Huang J., Islam, T. & Zhang, S. 2015, Adjustment of wind-drift effect for real-time deviation correction in radar rainfall data, Physics and Chemistry of the Earth, 83-84: 178-186.

26. Zhuo, L., Dai, Q. & Han, D., 2015, Meta-analysis of flow modeling performances-to build a matching system between catchment complexity and model types, Hydrological Processes, 29: 2463–2477.

27. Srivastava, P.K., Han, D., Rico-Ramirez, M.A., O’Neill, P., Islam, T., Gupta, M. & Dai, Q. 2015, Performance evaluation of WRF-Noah Land surface model estimated soil moisture for hydrological application: Synergistic evaluation using SMOS retrieved soil moisture, Journal of Hydrology, 511: 17-27.

28. Zhuo, L., Han, D., Dai, Q., Islam, T., & Srivastava, P.K., 2015, Appraisal of NLDAS-2 multi-model simulated soil moistures for hydrological modelling, Water Resources Management, 29: 3503-3517.

29. Dai, Q. & Han, D., 2014, Exploration of discrepancy between radar and gauge rainfall surfaces driven by the downscaled wind field, Water Resources Research, 50: 8571-8588.

30. Dai, Q., Han, D., Rico-Ramirez, M.A. & Srivastava, P.K. 2014, Multivariate Distributed Ensemble Generator: A new scheme for ensemble radar precipitation estimation over temperate maritime climate, Journal of Hydrology, 511: 17-27.

31. Dai, Q., Han, D., Rico-Ramirez, M.A. & Islam, T. 2014, Modeling radar-rainfall estimation uncertainties using elliptical and Archimedean copulas with different marginal distributions, Hydrological Sciences Journal, 59: 1992-2008.

32. Huang, J., Wang, H., Dai, Q. & Han, D. 2014, Analysis of NDVI Data for Crop Identification and Yield Estimation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 99: 1-11.

33. Islam, T., Rico-Ramirez, M.A., Srivastava, P.K. & Dai, Q. 2014, Non-parametric rain/no rain screening method for satellite-borne passive microwave radiometers at 19-85 GHz channels with random forests algorithm, International Journal of Remote Sensing, 35: 3254–3267.

承担(参与)的主要科研项目

1. 国家自然科学基金项目,41871299,城市暴雨灾害链动态脆弱性的计算方法研究、2019/01-2022/1258万、主持。

2. 国家自然科学基金项目,41501429,面向城市水文模拟的地表空间自动离散方法研究、2016/01-2018/1223万、主持。

3. 江苏省高校自然科学研究重大项目,16KJA170001,基于地表空间自动离散化的城市内涝模拟与预报研究,2016/09-2019/0815万、主持。

4. 南京师范大学百人计划启动基金,2017/09-2021/1250万、主持。

5. 江苏省“双创博士”基金,2017/10-2020/1215万、主持。

6. 国家自然科学基金项目,41631175,基于地理认知的场景数据模型与数据组织方法、2017/01-2021/12290万、参加。

7. 英国自然环境研究委员会项目(NERC),NE/N012143/1,地震山区可持续经济社会发展系统模型、2016/01-2019/03500,000英镑、参加。

8. 江苏省科技厅,BE2015704,城市地质与洪涝灾害监测预警关键技术研究,2015/07-2018/06100万、参加。

9. 欧盟(European Commission)项目,水信息共享在应对地球水圈变化研究-面向可操作需要、2013-20166,000,000欧元、参加。

10. 英国工程与自然研究理事会(EPSRC)项目,雷达降雨概率预报在城市雨洪中应用研究、2011-2012120,000英镑、参加。


南京师范大学地理科学学院,南京市仙林大学城文苑路1号
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