16) Li, X., J. Feng, C. Wellen, and Y. Wang. A Bayesian approach of high impaired river reaches identification and total nitrogen load estimation in a sparsely monitored basin. Accepted to Environmental Science and Pollution Research.
15) Wellen, C.C., N.J. Shatilla, and S.K. Carey (2015) Regional scale selenium export associated with surface coal mining in the Elk Valley, British Columbia. Science of the Total Environment 531, 791-802.
14) Long, T., D. Boyd, C.C. Wellen, G.B. Arhonditsis, M. Mohamed, and K. O'Connor (2015) Estimation of tributary total phosphorus loads to Hamilton Harbour, Ontario, Canada, using a series of empirically based regression equations. Journal of Great Lakes Research 41(3): 780–793.
13) Wang, Y., L. Xue, C. C. Wellen, G. Liu (2015) Estimation of nutrient sources and transport using Spatially Referenced Regression Models: A case study in Songhuajiang River Basin, China. Environmental Science and Pollution Research 22(9): 6989-7001.
12) Wellen, C.C., A. Kamran-Disfani*, and G.B. Arhonditsis (2015) Evaluation of the current state of distributed nutrient watershed-water quality modelling. Environmental Science and Technology 49(6): 3278 - 3290.
11) Wellen, C.C., T. Long, D. Boyd, and G.B. Arhonditsis (2014) Quantifying the uncertainty of source attribution in distributed watershed models: A Bayesian assessment of SWAT’s sediment export predictions. Journal of Hydrology 519: 3353 – 3368.
10) Long, T., D. Boyd, C.C. Wellen, and G.B. Arhonditsis (2014) Characterization of water quality dynamics in the urban and agricultural watersheds of Hamilton Harbour following an intensive two year event-based monitoring program in Hamilton and Burlington, Ontario, Canada. Journal of Great Lakes Research 40: 964 – 979.
9) Wellen, C.C., T. Long, D. Boyd, and G.B. Arhonditsis (2014) Accommodating environmental thresholds and extreme events in hydrological models: a Bayesian approach. Journal of Great Lakes Research 40, Supplement 3:102 – 116.
8) Kim, D.K., W. Zhang, V. Hiriart-Baer, C.C. Wellen, T. Long, D. Boyd, G.B. Arhonditsis (2014) Towards the development of integrated modelling systems in aquatic biogeochemistry: a Bayesian approach. Journal of Great Lakes Research 40, Supplement 3:73 – 87.
7) Wellen, C.C., G.B Arhonditsis, T. Labencki, and D. Boyd (2014) Application of the SPARROW model in watersheds with limited information: a Bayesian assessment of the model uncertainty and the value of additional monitoring. Hydrological Processes 28: 1260-1283.
6) Wellen, C.C., and R.E. Sieber (2013) Toward an inclusive semantic interoperability: the case of Cree hydrographic features. International Journal of Geographical Information Science 27(1): 168 – 191.
5) Wellen, C.C., G.B Arhonditsis, T. Labencki, and D. Boyd (2012) A Bayesian methodological framework for accommodating interannual variability of nutrient loading with the SPARROW model. Water Resources Research, vol. 48(10): W10505.
4) Sieber, R.E., and C. C. Wellen (2011) Reply to Shi: Geometry is not the sole source of spatial relations. Proceedings of the National Academy of Sciences of the United States of America 108:E460.
3) Sieber, R.E., C.C. Wellen, and Y. Jin (2011) Spatial Cyberinfrastructures, Ontologies and the Humanities. Proceedings of the National Academy of Sciences of the United States of America 108: 5504 - 5509.
2) Gudimov, A., M. Ramin, T. Labencki, C.C. Wellen, M. Shelar, Y. Shimoda, D. Boyd, and G.B. Arhonditsis (2011) Predicting the response of Hamilton Harbour to the nutrient loading reductions: A modeling analysis of the "ecological unknowns". Journal of Great Lakes Research 37(3): 494 – 506. 1) Conway, T. and C.C. Wellen (2011) Not developed yet? Alternative ways to include locations without changes in land use change models. International Journal of Geographic Information Science 25 (10): 1613 – 1631.