Developing real time operating rules for trading discharge permits in rivers: Application of Bayesian Networks SM Mesbah, R Kerachian, MR Nikoo Environmental modelling & software 24 (2), 238-246, 2009 | 88 | 2009 |
Trading pollutant discharge permits in rivers using fuzzy nonlinear cost functions SM Mesbah, R Kerachian, A Torabian Desalination 250 (1), 313-317, 2010 | 34 | 2010 |
Diminishing Returns or Compounding Benefits of Air Pollution Control? The Case of NOx and Ozone AJ Pappin, SM Mesbah, A Hakami, S Schott Environmental science & technology 49 (16), 9548-9556, 2015 | 32 | 2015 |
Impact of the spatial resolution of climatic data and soil physical properties on regional corn yield predictions using the STICS crop model G Jégo, E Pattey, SM Mesbah, J Liu, I Duchesne International Journal of Applied Earth Observation and Geoinformation 41, 11-22, 2015 | 22 | 2015 |
Optimal Ozone Reduction Policy Design Using Adjoint-Based NOx Marginal Damage Information SM Mesbah, A Hakami, S Schott Environmental science & technology 47 (23), 13528-13535, 2013 | 20 | 2013 |
A model-based methodology to derive optimum nitrogen rates for rainfed crops–a case study for corn using STICS in Canada M Mesbah, E Pattey, G Jégo Computers and electronics in agriculture 142, 572-584, 2017 | 19 | 2017 |
Adjoint estimation of ozone climate penalties S Zhao, AJ Pappin, S Morteza Mesbah, JY Joyce Zhang, NL MacDonald, ... Geophysical Research Letters 40 (20), 5559-5563, 2013 | 13 | 2013 |
Improving NOx Cap-and-Trade System with Adjoint-Based Emission Exchange Rates SM Mesbah, A Hakami, S Schott Environmental science & technology 46 (21), 11905-11912, 2012 | 13 | 2012 |
New model-based insights for strategic nitrogen recommendations adapted to given soil and climate M Mesbah, E Pattey, G Jégo, A Didier, X Geng, N Tremblay, F Zhang Agronomy for sustainable development 38, 1-11, 2018 | 12 | 2018 |
Optimal ozone control with inclusion of spatiotemporal marginal damages and electricity demand SM Mesbah, A Hakami, S Schott Environmental Science & Technology 49 (13), 7870-7878, 2015 | 8 | 2015 |
Potato yield, net revenue and specific gravity responses to nitrogen fertilizer under different canadian agroecozones J Nyiraneza, AN Cambouris, A Nelson, M Khakbazan, M Mesbah, I Perron, ... Agronomy 11 (7), 1392, 2021 | 5 | 2021 |
Response to Comment on “Diminishing Returns or Compounding Benefits of Air Pollution Control? The Case of NOx and Ozone” AJ Pappin, SM Mesbah, A Hakami, S Schott Environmental Science & Technology 50 (1), 502-503, 2016 | 4 | 2016 |
Targeted NOx Emissions Control for Improved Environmental Performance SM Mesbah, A Hakami, S Schott Air Pollution Modeling and its Application XXII, 35-40, 2014 | 2 | 2014 |
A Review of Machine Learning Techniques in Agroclimatic Studies D Tamayo-Vera, X Wang, M Mesbah Agriculture 14 (3), 481, 2024 | | 2024 |
A global optimization tool for assimilation of leaf area index into STICS crop model M Mesbah, E Pattey, G Jégo, C Champagne, J Liu, S Saadi, K Mulicoin XIIth Stics users seminar, 37, 2020 | | 2020 |
An Improved Precipitation Indicator For Corn Yield Prediction: Proof Of Concept Using STICS Model In Eastern Canada M Mesbah, E Pattey, G Jégo AGU Fall Meeting 2018, 2018 | | 2018 |
An Improved Precipitation Indicator For Corn Yield Prediction: Proof Of Concept Using STICS Model In Eastern Canada E Pattey, M Mesbah, G Jégo AGU Fall Meeting Abstracts 2018, GC41D-1483, 2018 | | 2018 |
Identifying nemo: a model-based methodology to identify strategic N application rates for rainfed crop. E Pattey, M Mesbah, G Jego | | 2018 |
Including climate variability in determination of the optimum rate of N fertilizer application using a crop model: A case study for rainfed corn in eastern Canada M Mesbah, E Pattey, G Jégo, X Geng, N Tremblay, A Didier AGU Fall Meeting Abstracts 2017, GC33C-1091, 2017 | | 2017 |
Identifying Optimum Nitrogen Fertilizer Rate for Rainfed Corn Under Variable Climate Using the STICS Crop Model: A Case Study in Eastern Canada. M Mesbah, E Pattey, G Jégo, A Didier, F Zhang, N Tremblay, X Geng ASA, CSSA and SSSA International Annual (2017), 2017 | | 2017 |