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Faculty

Qiang Dai Associate Professor

Research Interests: 
  • Urban hydrology
  • Hydrology remote sensing
Bio: 

Educational Background

PhD, Department of Civil Engineering, University of Bristol (2015)

Msc, Department of Remote sensing and GIS, Sun Yat-Sen University(2011)

BSC, Department of GIS, Nanjing Normal University(2009)

Research

Research Interests

Urban hydrology,Hydrology remote sensing

Research Projects

  1. National Natural Science Foundation of China (NSFC), 41501429, Study on an automatic urban surface spatial discretization method for urban hydrological simulation, 2016/01-2018/12, ¥276,000, Principal Investigator.
  2. Jiangsu Science and Technology Agency, BE2015704, Study on monitoring and warning of urban geology and urban flood, 2015/07-2018/06, ¥1,000,000.
  3. European Commission, Sharing Water-related Information to Tackle Changes in the Hydrosphere - for Operational Needs, SWITCH-ON, 2013-2016, €6,000,000.
  4. UK Engineering And Physical Sciences Research Council (EPSRC), Urban flood modeling using probabilistic radar rainfall ensembles, 2011-2012, £120,000.

 

 

Journal Articles

  1. Zhuo, L., Han, D., & Dai, Q., 2016, Soil moisture deficit estimation using satellite multi-angle brightness temperature, Journal of Hydrology, (SCI, IF=3.053).
  2. Zhuo, L., Dai, Q., Islam, T., & Han, D., 2016, Error distribution modelling of satellite soil moisture measurements for hydrological applications, Hydrological Processes, (SCI, IF=2.677).
  3. 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: 178-186 (SCI, IF=1.477).
  4. Zhuo, L., Dai, Q., & Han, D., 2015, Evaluation of SMOS soil moisture retrievals over the central United States for hydro-meteorological application, Physics and Chemistry of the Earth, doi:10.1016/j.pce.2015.06.002, (SCI, IF=1.477).
  5. 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 (SCI, IF=2.844).
  6. Dai, Q., Han, D., Zhuo, L., Zhang J., Islam, T., & Srivastava, P.K. 2015, Seasonal generation of ensemble radar rainfall estimates using copula and autoregressive model, Stochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-014-1017-x (SCI, IF=2.086).
  7. 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 (SCI, IF=2.600).
  8. Islam, T., Srivastava, P.K., Dai, Q. 2015, High resolution WRF simulation of cloud properties over the super typhoon Haiyan: Physics parameterizations and comparison against MODIS. Theoretical and Applied Climatology, DOI 10.1007/s00704-015-1575-y (SCI, IF=2.015).
  9. 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 (SCI, IF=2.677).
  10. 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 (SCI, IF=3.053).
  11. 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 (SCI, IF=3.549).
  12. 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 (SCI, IF=3.053).
  13. Dai, Q., Rico-Ramirez, M.A., Han, D., Islam, T. & Liguori S. 2014, Probabilistic radar rainfall nowcasts using empirical and theoretical uncertainty models, Hydrological Processes, 29: 66-79 (SCI, IF=2.677). 
  14. Dai, Q., Han, D., Rico-Ramirez, M.A., Zhuo, L., Nanding, N. & Islam, T., 2014, Radar rainfall uncertainty modelling influenced by wind, Hydrological Processes, 29: 1704-1716 (SCI, IF=2.677).
  15. 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 (SCI, IF=1.549). 
  16. 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 (IEEE-J-STARS), 99: 1-11 (SCI, IF=3.026).
  17. Islam, T., Rico-Ramirez, M.A., Srivastava, P.K., Dai, Q., Han, D., Gupta, M. &  Zhuo, L. 2014, CLOUDET: A cloud detection and estimation algorithm for passive microwave imagers and sounders aided by Naive Bayes classifier and multilayer perceptron, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE-J-STARS), 99: 1-7 (SCI, IF=3.026).
  18. Islam, T., Srivastava, P.K., Rico-Ramirez, M.A., Dai, Q., Han, D. & Gupta, M. 2014, An exploratory investigation of an adaptive neuro fuzzy inference system (ANFIS) for estimating hydrometeors from TRMM/TMI in synergy with TRMM/PR. Atmospheric Research, 145: 57-68 (SCI, IF=2.844).
  19. Dai, Q., Han, D., Rico-Ramirez, M.A. & Islam, T. 2013, The impact of raindrop drift in a three-dimensional wind field on a radar-gauge rainfall comparison, International Journal of Remote Sensing, 34: 7739-7760 (SCI, IF=1.652).
  20. Srivastava, P.K., Han, D., Islam, T., Petropoulos, G., Gupta, M. & Dai, Q. 2015, Seasonal evaluation of Evapotranspiration fluxes from MODIS Satellite and Mesoscale Model Downscaled Global Reanalysis Datasets. Theoretical and Applied Climatology, DOI: 10.1007/s00704-015-1430-1 (SCI, IF=2.015).
  21. Islam, T., Srivastava, P.K., Dai, Q. & Wan Jaafar, W.Z. 2015, Stratiform/convective rain delineation for TRMM microwave imager. Journal of Atmospheric and Solar-Terrestrial Physics (SCI, IF=1.474).
  22. Islam, T., Srivastava, P.K., Dai, Q., Gupta, M. & Zhuo, L. 2014, An introduction to factor analysis for radio frequency interference (RFI) detection on satellite observations. Meteorological Applications, DOI: 10.1002/met.1473 (SCI, IF=1.337).
  23. Srivastava, P.K., M.A., Islam, T., Gupta, M., Petropoulos, G., & Dai, Q. 2014, WRF dynamical downscaling and bias correction schemes for NCEP estimated Hydro-meteorological variables. Water Resources Management, DOI: 10.1007/s11269-015-0940-z (SCI, IF=2.600).
  24. Islam, T., Srivastava, P.K., Rico-Ramirez, M.A., Dai, Q., Gupta, M. & Singh, S.K. 2014, Tracking a tropical cyclone through WRF ARW simulation and sensitivity of model physics. Natural Hazards, 76: 1473-1495 (SCI, IF=1.719).
  25. Islam, T., Rico-Ramirez, M.A., Srivastava, P.K., Dai, Q., Han, D & Zhuo, L.. 2014, Rain Rate Retrieval Algorithm for Conical-Scanning Microwave Imagers Aided By Random Forest, RReliefF and Multivariate Adaptive Regression Splines (RAMARS). IEEE Sensors Journal, 15: 2186-2193 (SCI, IF=1.852).
  26. Srivastava, P.K., Han, D., Rico-Ramirez, M.A., Michaela B., Islam, T., Gupta, M. & Dai, Q. 2014, Estimation of Land Surface Temperature from atmospherically corrected LANDSAT TM image using 6S and NCEP global reanalysis product. Environmental Earth Sciences, 1-14 (SCI, IF=1.765).
  27. Islam, T., Srivastava, P.K., Dai, Q. & Gupta, M. 2014, Ice cloud detection from AMSU-A, MHS, and HIRS satellite instruments inferred by cloud profiling radar. Remote Sensing Letters, 5: 1012-1021 (SCI, IF=1.573).
  28. 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 (SCI, IF=1.652).

Books

    1. Dai, Q., Han, D. & Srivastava, P.K.. 2016, Sensitivity Analysis In Earth Observation Modelling: Radar-Rainfall Sensitivity Analysis
    2. Dai, Q., Han, D., Rico-Ramirez, M.A. & Srivastava, P.K.. 2015, Geospatial Technology for Water Resources Development: Spatio-temporal Uncertainty Model for Radar Rainfall, CRC Press

Honors and Awards

2015, Bristol University Prize for Best Thesis

2011-2014, University of Bristol Postgraduate Research Scholarship

 

Contact

Email: q.dai@njnu.edu.cn or qd_gis@163.com