Biography

Prof. Umed Panu

Lakehead University, Canada

 

Email: uspanu@lakeheadu.ca

 

Qualifications

Ph.D., University of Waterloo

M.S., University of Guelph

B.S., U.P.A. University

 

Publications (selected)

Papers in Refereed Journals

  1. Sharma, T.C. and Panu, U.S. (2015): Comparative Analysis of predictive methods of drought durations: a case of monthly and annual streamflow droughts in Atlantic Canada - Hydrological Sciences Journal.
  2. Sharma, T.C. and Panu, U.S. (2014): Predicting return periods of hydrological droughts using the Pearson-3distribution: a case from rivers in the Canadian prairies, Hydrological Sciences Journal.
  3. Sharma, T.C. and Panu, U.S. (2014): A simplified model for predicting drought magnitudes: a case of streamflow droughts in Canadian prairies, Water Resources Management, 28, 597-1611.
  4. Sharma, T.C. and Panu, U.S. (2014): Modeling of hydrological droughts: Experiences on Canadian streamflows. Journal of Hydrology: Regional Studies, Volume1, 92-106.
  5. Sharma, T.C. and Panu, U.S. (2014): Predicting Drought Durations and Magnitudes at Weekly Time Scale: Constant Flow as a Truncation Level. Open Journal of Atmospheric and Climate Change, 1(1), 1-16.
  6. Sharma, T.C. and Panu, U.S. (2013): A semi-empirical method for predicting hydrological drought magnitudes in the Canadian prairies. Hydrological Sciences Journal, 58(3), 549-569.
  7. Sharma, T.C. and Panu, U.S. (2013): Predicting drought magnitudes: a parsimonious model for Canadian hydrological droughts, Water Resources Management, 27(3), 649-664.
  8. Sharma, T.C. and Panu, U.S. (2012): Prediction of hydrological drought durations based on Markov chains: case of the Canadian prairies. Hydrological Sciences Journal, 57(4), 705-722.

Book Chapters:

  1. Panu, U. S. and W. W. Ng (2017): Outlier Analysis and Infilling of Missing Records in Hydrologic Data. Chapter 16 in the Handbook of Applied Hydrology (New Edition -2017). Pages 16-1 to 16-7, McGraw-Hill, New York.

Reports:

  1. Ng, W.W., Panu, U.S. and P. Rasmussen (2015): A stochastic Daily Weather Generation Model at Multiple Sites. Civil Engineering Report No. CE-15-1, Lakehead University, Thunder Bay, Ontario.

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