activity
20152021
most citedSecond-generation stoichiometric mathematical model to predict methane emissions from oil sands tailings

31 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2021

Niche differentiation in the light spectrum promotes coexistence of phytoplankton species: a spatial modelling approach

Christopher M. Heggerud, King-Yeung Lam, Hao Wang

The paradox of the plankton highlights the apparent contradiction between Gause's law of competitive exclusion and the observed diversity of phytoplankton. It is well known that ph…

physics.soc-ph2021

Coupling the socio-economic and ecological dynamics of cyanobacteria: single lake and network dynamics

Christopher M. Heggerud, Hao Wang, Mark A. Lewis

In recent decades freshwater lakes have seen an increase in human presence. A common byproduct of this human presence is eutrophication, which readily results in harmful cyanobacte…

math.AP2019★ 2 cited

Analysis of propagation for impulsive reaction-diffusion models

Mostafa Fazly, Mark A. Lewis, Hao Wang

We study a hybrid impulsive reaction-advection-diffusion model given by a reaction-advection-diffusion equation composed with a discrete-time map in space dimension …

q-bio.QM2019★ 31 cited

Second-generation stoichiometric mathematical model to predict methane emissions from oil sands tailings

Jude D. Kong, Hao Wang, Tariq Siddique +4

Microbial metabolism of fugitive hydrocarbons produces greenhouse gas (GHG) emissions from oil sands tailings ponds (OSTP) and end pit lakes (EPL) that retain semisolid wastes from…

math.AP2015★ 1 cited

On impulsive reaction-diffusion models in higher dimensions

Mostafa Fazly, Mark Lewis, Hao Wang

Assume that denotes the density of the population at a point at the beginning of the reproductive season in the th year. We study the following impulsive reaction-d…