SUST1001U Models

These models and simulations have been tagged “SUST1001U”.

The dynamics of homeless population in Toronto with constant homelessness and rehabilitation rates
SUST1001U Onielia Osbourne Isaac Wilson Sharujan Santhakumar Tamim Hakimi
The dynamics of homeless population in Toronto with constant homelessness and rehabilitation rates
Exponential Toronto Homeless Population Dynamics
Onielia
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
SUST1001U
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
Clone of Exponential Display of Changing Distance and Velocity Over Time
Colin Hewlett
11 months ago
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
SUST1001U
The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 
Clone of Exponential Display of Changing Distance and Velocity Over Time
Judi Abugheneima
11 months ago
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 popul
SUST1001U
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.
Clone of Logistic Moose Population Dynamics
Moyinoluwa Lansebe
last month
The dynamics of moose (prey) and wolf (predator) populations
SUST1001U
The dynamics of moose (prey) and wolf (predator) populations
Clone of Moose (Prey) and Wolf (Predator) Population Dynamics
Christina Coroado
12 months ago
The dynamics of mouse (prey) and cat (predator) population
SUST1001U Onielia Osbourne Isaac Wilson Sharujan Santhakumar Tamim Hakimi
The dynamics of mouse (prey) and cat (predator) population
Clone of Mouse (prey) and Cat (predator) population Dynamics
Isaac Wilson
11 months ago
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 th
SUST1001U
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).
Modelling Oshawa's 2024 Residential Population Dynamics
Abdurehman Ahmad
last month
The following model shows us the fictional city in Ontario a municipality called Omnicity with fictional energy values and the relationship between all the energy types used within the city, how it affects the energy grid, with the inflows from the various types of energy the city produces. The powe
SUST1001U
The following model shows us the fictional city in Ontario a municipality called Omnicity with fictional energy values and the relationship between all the energy types used within the city, how it affects the energy grid, with the inflows from the various types of energy the city produces. The power usage coming from Businesses and Residential, whilst the energy produced comes from Wind, Solar, Hydro, Nuclear, Natural Gas, and Micro-generated Solar Electricity from residential housing.
Omnicity Energy Flow Grid Insight
Razeen Meera ameer
4 weeks ago
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
SUST1001U
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.
Oshawa Human Population Dynamics
Ayman Zahid
last month
This complex system models an organic strawberry farm in Northumberland County, ON. The model aims to highlight the various factors that influence revenue and expenses of the farm, and overall can predict the cumulative net income over a 25 year period.  Beginning with a $100,000 inheritance that
SUST1001U
This complex system models an organic strawberry farm in Northumberland County, ON. The model aims to highlight the various factors that influence revenue and expenses of the farm, and overall can predict the cumulative net income over a 25 year period. 

Beginning with a $100,000 inheritance that is input into the organic farm, one can estimate the cumulative farm net income (the stock) both annually and over a prolonged period based on the various expenses (outflow) which must be paid per year, and the sources of revenue (inflow) within the same time period.

Note: The values and variables used in this model were based on the University of California Agriculture and Natural Resources Guide, or the Sample Costs to Produce and Harvest Organic Strawberries Guide for the year 2024. 
Organic Strawberry Farm in Northumberland County, ON
Rileigh Rodych
10 hours ago
This model graphs the general idea of the inflow and outflow of energy in a small town in Ontario's power grid. The main sources of energy come from Nuclear being one of Ontario's biggest sources of energy, Wind, and Solar. The graph shows energy generation vs energy consumption and the demand in en
SUST1001U
This model graphs the general idea of the inflow and outflow of energy in a small town in Ontario's power grid. The main sources of energy come from Nuclear being one of Ontario's biggest sources of energy, Wind, and Solar. The graph shows energy generation vs energy consumption and the demand in energy in the town.
Roman's Town, Ontario Energy Consumption
Roman Ahmad zeia
4 weeks ago
This model simulates the basic dynamics of a water reservoir, including the impact of rainfall, community water consumption, conservation efforts, and evaporation. The model shows how the reservoir’s water level changes over time based on natural inflows and human , nature water use.
SUST1001U
This model simulates the basic dynamics of a water reservoir, including the impact of rainfall, community water consumption, conservation efforts, and evaporation. The model shows how the reservoir’s water level changes over time based on natural inflows and human , nature water use.
Water Reservoir System (Basic)
Amandeep Saroa
last month
Tanjiopolis is a unique municipality located in northern Canada, known for its extreme seasonal climate where there is six months of very hot summers followed by six months of very cold winters, with no transitional seasons. This distinct environment has driven Tanjiopolis to innovate and thrive, h
SUST1001U

Tanjiopolis is a unique municipality located in northern Canada, known for its extreme seasonal climate where there is six months of very hot summers followed by six months of very cold winters, with no transitional seasons. This distinct environment has driven Tanjiopolis to innovate and thrive, harnessing its natural resources to achieve energy independence.

The municipality has invested heavily in a robust infrastructure of solar and wind generators, complemented by a few nuclear power facilities. The nuclear plants operate at only 10% of their maximum capacity during the summer, as the abundant solar energy meets the municipality's power needs. In contrast, during the winter, the nuclear facilities ramp up to 100% capacity to compensate for the reduced solar output due to limited sunlight.

Tanjiopolis takes pride in its commitment to sustainability, reinforced by a government-mandated policy that requires 2 solar panels per residential building, 4 solar panels per small business building, and 6 solar panels per large business building. This ensures that the municipality can sustain a population of 3 million people entirely through renewable energy sources, maintaining a self-sufficient power grid that operates independently from external systems.

Clone of Tanjiopolis: A Fictional Municipality
Ayman Zahid
4 weeks ago
This model analyzes the growth and dynamics of Oshawa’s population using a logistic approach. Starting with an initial population of 170,000 and an increased carrying capacity of 180,000, it evaluates how the addition of new neighbourhoods, planned to accommodate an extra 10,000 residents over the
SUST1001U
This model analyzes the growth and dynamics of Oshawa’s population using a logistic approach. Starting with an initial population of 170,000 and an increased carrying capacity of 180,000, it evaluates how the addition of new neighbourhoods, planned to accommodate an extra 10,000 residents over the next 10-15 years (or whatever time period) affects population changes. Key factors include the Oshawa Residents Death/Emigration Rate of 0.8% (realistic percent approximation), accounting for natural deaths and emigration, and the Oshawa Residents Birth/Immigration Rate of 2.4% (also a realistic percent approximation), reflecting new residents through births and immigration. The model tracks the net population change, providing insights into how Oshawa's population might grow or stabilize as it approaches its new carrying capacity!
Logistic Model of Oshawa's Population Growth with Increased Residential Carrying Capacity
Abdurehman Ahmad
last month
Canadian population dynamics where growth rate (birth rate plus immigration rate) depends on density ...... When the population is at carrying capacity, the growth rate is equal to the mortality rate; when the population is below carrying capacity, the growth rate is greater than the mortality rate;
SUST1001U
Canadian population dynamics where growth rate (birth rate plus immigration rate) depends on density ...... When the population is at carrying capacity, the growth rate is equal to the mortality rate; when the population is below carrying capacity, the growth rate is greater than the mortality rate; when the population is above carrying capacity, the growth rate is lower than the mortality rate.
Canada Population Dynamics
Xuan Zheng
last month
Insight diagram
SUST1001U
population of oshawa model 2
nyaqhubi
last month
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! 
SUST1001U
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 Number of Trees in consideration of both inflow and outflows factors.
Abdurehman Ahmad
last month
This model simulates the global human population's growth and decline over a 50-year timeline, factoring in birth rates (density-dep), death rates, and Earth's carrying capacity (K). The model illustrates how population dynamics shift as the population approaches or moves away from K: when the popu
SUST1001U

This model simulates the global human population's growth and decline over a 50-year timeline, factoring in birth rates (density-dep), death rates, and Earth's carrying capacity (K). The model illustrates how population dynamics shift as the population approaches or moves away from K: when the population reaches K, the birth rate matches the death rate, causing no net change; when the population is below K, births exceed deaths, leading to growth; and when the population exceeds K, deaths surpass births, causing the population to shrink. Through this simulation, the model offers insights into possible population trends like stabilization, growth, or decline, and highlights the relationship between reproduction, mortality, and environmental limits. Clear units reflect these shifts per year.

Module 2 - Global Human Population Dynamics
Pritika
last month
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 popul
SUST1001U
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.
Clone of Logistic Moose Population Dynamics
Nami Zuha
last month
The model shows us how the human population within the city of Oshawa with density-dependent birth rate and the Immigration rate where the birth rate and immigration equals the death rate and emigration rate when the population is at carrying capacity whilst the birth rate and the immigration is gre
SUST1001U
The model shows us how the human population within the city of Oshawa with density-dependent birth rate and the Immigration rate where the birth rate and immigration equals the death rate and emigration rate when the population is at carrying capacity whilst the birth rate and the immigration is greater than the death rate and emigration rate when the population is below carrying capacity, the birth rate and immigration is below the death rate and emigration rate when the population is above carrying capacity.
Logistics of Human Population in the City of Oshawa
Razeen Meera ameer
last month
This simple system displays the dynamics of a monkey population present in the tropical rainforests of Africa, with constant birth and death rates.  Note: As this is an example of a simple system, the model includes one stock component, an inflow, and an outflow, each of which is affected by a varia
SUST1001U
This simple system displays the dynamics of a monkey population present in the tropical rainforests of Africa, with constant birth and death rates. 
Note: As this is an example of a simple system, the model includes one stock component, an inflow, and an outflow, each of which is affected by a variable. The stock within this model is the monkey population, the inflow is the monkey births, which are affected by the monkey birth rate, and the outflow is the monkey deaths, which are affected by the monkey death rate. Exponential and graph population data can be viewed using the "Simulate" feature. 
Exponential Monkey Population: Simple System Dynamics
Rileigh Rodych
last month
The dynamics of human population in Oshawa are influenced by density dependent growth rates. When the population exceeds carrying capacity, the city's resources become overextended, leading to a decline in growth rates. Death rates and emigration rise, while birth and immigration rates drop, causing
SUST1001U
The dynamics of human population in Oshawa are influenced by density dependent growth rates. When the population exceeds carrying capacity, the city's resources become overextended, leading to a decline in growth rates. Death rates and emigration rise, while birth and immigration rates drop, causing a population decrease. When population falls below its carrying capacity, the birth and immigration rates surpass death and emigration, resulting in population growth due to the availability of ample resources.
Model2 - Earth Carrying Capacity
Md tanjeem Haider
last month
This is the Logistics model for the country Nigeria over 25 years. Using a density-dependent rate, At carrying capacity: Birth rate = Death rate. This is why at this point the population at reached a constant (a plateau) because the two rates equate themselves. Below carrying capacity:Birth rat
SUST1001U
This is the Logistics model for the country Nigeria over 25 years. Using a density-dependent rate,
At carrying capacity: Birth rate = Death rate. This is why at this point the population at reached a constant (a plateau) because the two rates equate themselves.
Below carrying capacity:Birth rate > death rate. There are enough resources for so the population so max birth rate is reached and more people are being birthed or are migrating into the country
Above carrying capacity: The birth rate < death rate. Nigeria's ecosystem have depleted and not enough to support its population so max death rate is reached.
Using this model, we see how population replenished per person (Population per capita) decreases as the population nears carrying capacity.
 
Clone of Logistic Moose Population Dynamics
Moyinoluwa Lansebe
last month
This model stimulates the growth of the human population at a large scale, ranging from global to local growth. It is modeled using logistic growth, where the carrying capacity (maximum sustainable population) limits the exponential growth due to available resources. 
SUST1001U
This model stimulates the growth of the human population at a large scale, ranging from global to local growth. It is modeled using logistic growth, where the carrying capacity (maximum sustainable population) limits the exponential growth due to available resources. 
Human Population Growth Model
Manal Afzal
last month