The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of a moose population with constant birth and death rates.

Star production was greater at the beginning of the universe, and has slowed down as lots of gases are now trapped in living stars. While this isn't true for every galaxy, this is a model simulating a galaxy where star formation rate is decreasing.

This complex system models the dynamics and impacts of transportation efficacy and efficiency of sustainable urban transportation in Durham Region. Within the Regional Municipality of Durham, there are eight local Municipalities consisting of Ajax, Brock, Clarington, Oshawa, Pickering, Scugog, Uxbridge, and Whitby, which account for a total population of approximately 750,000 individuals as of 2023. As Durham Region continues to expand and increase in population, road structures will be faced with an increasing traffic load that will generate a significant amount of carbon emissions. Due to the prevailing climate concerns, the need for sustainable urban transportation is evident.

Urban transportation systems are a cornerstone of city life. They connect communities and businesses, while providing access to services, supporting economic and social activities. Maintaining a vast network of transportation systems as cities grow, becomes increasingly challenging. These challenges, consisting of traffic congestion, environmental impact, and diverse transportation needs, become of paramount concern, such that political campaigns run solely on these platforms.

Within this stock and flow model are the main variables that comprise transportation emissions within Durham Region. The urban transportation model highlights different modes of transportation in the form of stocks, which consist of public transit users (bus), fossil fuel car drivers, and EV car drivers, as well as the inflows and outflows that are influenced by various variables. 

All data used within this model was obtained from the various sources on the internet. The data used within the model is based off of estimate values. Data pertaining to population values and cities/towns that comprise Durham Region, ON obtained from the following source(s): 

**NOTE: Kindly note we have used 10 sources in total that we have referenced - 2 are listed below as these 2 sources were used for the above description - the other references are located in the variables where the sources were used. 

Regional Municipality of Durham. (n.d.). Demographics and statistics. Durham Region Economic Development and Tourism. Retrieved November 24, 2024, from https://www.durham.ca/en/economic-development/invest-and-grow/demographics-and-statistics.aspx

Regional Municipality of Durham. (n.d.). Local municipalities. Durham Region. Retrieved from https://www.durham.ca/en/regional-government/local-municipalities.aspx

Group 8 Members: Leda Alizada (100821720), Pritika Lally (100867821), Mahad Rashid (100779108), Rileigh Rodych (100515185), Sami Siddique (100460897)

Ayman Town is a fictional municipality located within Ontario, Canada. This model visually represents the balance between energy supply and demand, and consolidates energy from various sources—nuclear, hydroelectric, natural gas, solar, and wind—into a Total Power Supply that feeds into the town’s power grid. On the demand side, energy consumption is divided into residential and business sectors, factoring in micro-generation (e.g., solar panels) to calculate net demand, or the remaining load that must be met by the grid.

This model highlights the dynamics between traditional and renewable energy sources while showing how decentralized energy generation can reduce grid dependence. By understanding the flow of energy and identifying key drivers of demand, this framework helps guide infrastructure planning, energy policy, and sustainability efforts, ensuring the town’s energy needs are met efficiently and reliably.

The dynamics of a constant bathtub water level with constant water inflow and water outflow rates.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

A model demonstrating the proportion of different power sources due to the residential and business sector demand in one day, as well as the carbon footprint in kg of CO2 produced. 

This model displays how the population of the Earth changes. With a larger birth rate than death rate the population increases and heads towards K (carrying capacity). If the birth rate is lower than the death rate, the population will slowly diminish and will move away from carrying capacity.

In this model, I will be demonstrating my understanding of Modelling a Human Population by using Oshawa as a current example. For this model, we begin with a current population of 170,000. However, with Oshawa's "theoretically new" (just to demonstrate my understanding) neighbourhoods being built the population will change to reflect that and the city's appropriate carrying capacity! By using variable factors such as "Moving in/inflow rate" and "Moving out/outflow rate" to reflect the number of current residents residing within Oshawa (nResidents).

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

By: Roman Ahmad Zeia, Rhythm Alam, Hailey Uhlman-O’Conner, Ahmer Khan, Zain Siddiqui

This model estimates the annual emissions from Toronto's multiple transit options including Trains, Airplanes, Gas & Electric personal vehicles and Buses. The resulting chart reports in the in the amount of kilograms of emissions  over years.

The dynamics of moose (prey) and wolf (predator) populations

A model demonstrating the differences in productivity and cost in an arbitrary workforce (this could be one company/institution or an entire area). I used AI to assist me in creating this model, by explaining to it what I would like to have as my main stocks and what I'd like to model, and then had it suggest variables, flows, and links (and thus equations for the flows and variables as well). The actual initial values were also suggested by the AI.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

This model demonstrates how the population of trees fluctuates and changes when factors such as how much trees being planted and how many trees being harvested/torn down come into play! 

The dynamics of the human population in Oshawa with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The dynamics of mouse (prey) and cat (predator) population

The dynamics of Oshawa’s population are modeled with a carrying capacity, where population growth is influenced by density-dependent factors. At lower population sizes, the birth rate exceeds the death rate, with a maximum birth rate and a maximum death rate. As the population increases and approaches the carrying capacity, resource limitations cause the birth rate and death rate to equalize. If the population exceeds the carrying capacity, the death rate will surpass the birth rate, gradually reducing population size, stabilizing near equilibrium.

The dynamics of Oshawa's human population are influenced by a density-dependent growth rate. The population growth rate equals the mortality rate when the population reaches the city's carrying capacity, defined by available housing, jobs, healthcare, and other resources. The growth rate exceeds the mortality rate when the population is below carrying capacity, allowing for positive net growth. Likewise, when the population surpasses the city's carrying capacity, growth declines, and the mortality rate exceeds the growth rate due to overburdened resources and infrastructure.