Examples of Research and Published Papers by IWRM Staff and Students

Selected Papers in Refereed Journals

Integrated Water Resources Program - Refereed Journal Entrys

  • Adamowski J, Prokoph A. 2013. Assessing the impacts of the urban heat island effect on streamflow patterns in Ottawa, Canada. Journal of Hydrology. DOI: 10.1016/j.jhydrol.2013.05.032. 
  • Adamowski J, Prokoph A. 2013. Determining the amplitude and timing of streamflow discontinuities: A cross wavelet analysis approach. Hydrological Processes, DOI: 10.1002/hyp.9843.     
  • Adamowski J, Prokoph A, Adamowski K. 2013. A spectral analysis based methodology to detect climatological influences on daily urban water demand. Mathematical Geosciences, 45, 49-68. 
  • Haidary A,  Amiri BJ, Adamowski J, Fohrer N, Nakane K. 2013. Assessing the impacts of four land use types on the water quality of wetlands in Japan. Water Resources Management, 27, 2217-2229.  
  • Halbe J, Pahl-Wostl C, Sendzimir J, Adamowski J. 2013. Towards adaptive and integrated management paradigms to meet the challenges of water governance. Water Science and Technology: Water Supply, 67 (11), 2651-2660. 
  • Islam S, Lefsrud M, Adamowski J, Busgang A, Bissonnette B. 2013. Design, construction and operation of a demonstration rainwater harvesting system for greenhouse irrigation at McGill University, Canada. HortTechnology, 23, 220-226.  
  • Lubini A, Adamowski J. 2013. Assessing the potential impacts of four climate change scenarios on the discharge of the Simiyu River, Tanzania using the SWAT model. International Journal of Water Sciences, 2, 1-12. 
  • Medema W, Light S, Adamowski J. 2013. Integrating adaptive learning into water resources management. Journal of Environmental Engineering and Management (accepted with no additional changes necessary). 
  • Nalley D, Adamowski J, Khalil B. 2013. Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008). Journal of Hydrology, 475, 204-228. 
  • Rizvi Z, Adamowski J, Patrick R. 2013. First Nation capacity in Québec to practice integrated water resources management. International Journal of Water, 7, 3. 
  • Adamowski J, Chan E, Prasher S, Ozga-Zielinski B, Sliusareva A. 2012. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada. Water Resources Research, 48, W01528, 14.   
  • Adamowski J, Prokoph A, Adamowski K. 2012. Influence of the 11 year solar cycle on annual streamflow maxima in Southern Canada. Journal of Hydrology, 442, 55-62. 
  • Campisi S, Adamowski J, Oron G. 2012. Forecasting urban water demand via wavelet- denoising and neural network models. Case study: City of Syracuse, Italy. Water Resources Management. 26, 3539-3558. 
  • Daneshmand F, Javanmard S, Adamowski J, Liaghat T, Moshkar M. 2012. Two-dimensional natural element analysis of double-free surface flow under a radial gate. Canadian Journal of Civil Engineering, 39, 643-653. 
  • Khalil B, Adamowski J. 2012. Record extension for short-gauged water quality parameters using a newly proposed robust version of the Line of Organic Correlation technique. Hydrology and Earth System Sciences, 16, 2253-2266. 
  • Nalley D, Adamowski J, Khalil B. 2012. Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954 – 2008). Journal of Hydrology, 475, 204-228. 
  • Nourani V, Baghanam A, Adamowski J, Gebremichael M. 2012. Using self-organizing maps and wavelet transforms for space-time pre-processing of satellite precipitation and runoff data in neural network based rainfall-runoff modeling. Journal of Hydrology, 476, 228-243. 
  • Adamowski J, Chan H, Prasher S, Sharda VN. 2011. Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data. Journal of Hydroinformatics, 3, 731–744. 
  • Adamowski J, Chan H. 2011. A wavelet neural network conjunction model for groundwater level forecasting. Journal of Hydrology, 401, 28-40. 
  • Saadat H, Adamowski J, Bonnell R, Sharifi F, Namdar M, Ale-Ebrahim S. 2011. Land use and land cover classification over a large area in Iran based on single date analysis of satellite imagery. Journal of Photogrammetry and Remote Sensing, 66, 608-619. 
  • Adamowski J, Adamowski K, Bougadis J. 2010. Influence of trend on short duration design storms. Water Resources Management 24, 401-413. 
  • Adamowski J, Karapataki C. 2010. Comparison of multivariate regression and artificial neural networks for peak urban water demand forecasting: the evaluation of different ANN learning algorithms. Journal of Hydrologic Engineering 15, 729-743. 
  • Adamowski J, Sun K. 2010. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. Journal of Hydrology 390, 85-91. 
  • Daneshmand F, Javanmard S, Liaghat T, Moshksar M, Adamowski J. 2010. Numerical solution for two-dimensional flow under a sluice gate using the natural element method. Canadian Journal of Civil Engineering 37, 1550-1559. 
  • Adamowski K, Prokoph A, Adamowski J. 2009. Development of a new method of wavelet aided trend detection and estimation. Hydrological Processes 23, 2686-2696. 
  • Adamowski J. 2008. Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis.  Journal of Hydrology 353, 247-266. 
  • Adamowski J. 2008. Peak daily water demand forecast modeling using artificial neural networks. Journal of Water Resources Planning and Management 134, 119-128. 
  • Adamowski J. 2008. River flow forecasting using wavelet and cross-wavelet transform models. Hydrological Processes 22, 4877-4891. 
  • Medema W., McIntosh B. S. and Jeffrey P. J. 2008. From premise to practice: a critical assessment of integrated water resources management and adaptive management approaches in the water sector. Ecology and Society, 13(2): 29. 
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