Primitives for Watershed modeling project. Click Clone Insight at the top right to make a copy that you can edit. The converter in this file contains precipitation for Tucson only. Tucson watersheds are Arroyo Chico, Canada Agua, and Lower Canada del Oro.
Environment Water Rainwater
Primitives for Watershed modeling project. Click Clone Insight at the top right to make a copy that you can edit.

The converter in this file contains precipitation for Tucson only. Tucson watersheds are Arroyo Chico, Canada Agua, and Lower Canada del Oro.
Primitives for Rainwater Harvesting -Tucson ENVS 270 F21
Rivka Fidel
180
This model describes the flow of energy from generation to consumption for neighborhoods in the metro Atlanta area. It also calculates the cost of energy production and the number of years it will take to recover that cost.
Micro Grid Solar Smart Grid Environment
This model describes the flow of energy from generation to consumption for neighborhoods in the metro Atlanta area. It also calculates the cost of energy production and the number of years it will take to recover that cost.
Microgrid with storage
Rudrapratap Jadhav
12
Simple (Kind of) food web of the Cane Toad Species. Includes different levels of consumers including predators.
Environment Animal Species FoodWeb Food Cane Toad
Simple (Kind of) food web of the Cane Toad Species. Includes different levels of consumers including predators.
Clone of Cane Toad Food Web
David Wang
Insight diagram
Environment
Australian Desert Ecosystem Foodweb
Victoria Ke
Similar layout to  CEU insight  based on 2016 Land Use Science  article  on Causal Analysis by Patrick Meyfroidt This is focussed on causal chains
Control Environment Causation Complex Methods Inference PCT

Similar layout to CEU insight based on 2016 Land Use Science article on Causal Analysis by Patrick Meyfroidt This is focussed on causal chains

Causal Analysis
Geoff McDonnell
3 weeks ago
WIP Stock Flow representation of Panarchy Adaptive Cycles
Panarchy Resilience Health Care Capability Environment

WIP Stock Flow representation of Panarchy Adaptive Cycles

Adaptive Cycles Stock Flow
Geoff McDonnell
3 weeks ago
This model provides a dynamic simulation of the Sverdrup (1953) paper on the vernal blooming of phytoplankton. The model simulates the dynamics of the mixed layer over the year, and illustrates how it's depth variation leads to conditions that trigger the spring bloom. In order for the bloom to occ
Environment Primary Production In The Sea
This model provides a dynamic simulation of the Sverdrup (1953) paper on the vernal blooming of phytoplankton.

The model simulates the dynamics of the mixed layer over the year, and illustrates how it's depth variation leads to conditions that trigger the spring bloom. In order for the bloom to occur, production of algae in the water column must exceed respiration.

This can only occur if vertical mixing cannot transport algae into deeper, darker water, for long periods, where they are unable to grow.

Sverdrup, H.U., 1953. On conditions for the vernal blooming of phytoplankton. J. Cons. Perm. Int. Exp. Mer, 18: 287-295
Vernal blooming of phytoplankton
Joao G. Ferreira
4
A food web for Africa. :)
Environment
A food web for Africa. :)
Lesser Flamingo Food Web
Anna Karus
A storytelling of the nitrogen cycle.
Environment Nitrogen Biogeochemical Cycle Ecological Ceiling Nitrogen Cycle Planetary Boundary
A storytelling of the nitrogen cycle.
Nitrogen Cycle
Henny van Dongen
Simple Model of the Food Chain
Food Chain Animals Environment
Simple Model of the Food Chain
Clone of Food Chain
Gavrilo Bozovic
9
Eastern oyster growth model calibrated for Long Island Sound This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter) 1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;
Environment Population Dynamics
Eastern oyster growth model calibrated for Long Island Sound

This is a one box model for an idealized farm with one million oysters seeded (one hectare @ a stocking density of 100 oysters per square meter)

1. Run WinShell individual growth model for one year with Long Island Sound growth drivers;

2. Determine the scope for growth (in dry tissue weight per day) for oysters centered on the five weight classes)
 
3. Apply a classic population dynamics equation:

dn(s,t)/dt = -d[n(s,t)g(s,t)]/ds - u(s)n(s,t)

s: Weight (g)
t: Time
n: Number of individuals of weight s
g: Scope for growth (g day-1)
u: Mortality rate (day-1)

4. Set mortality at 30% per year, slider allows scenarios from 30% to 80% per year

5. Determine harvestable biomass, i.e. weight class 5, 40-50 g (roughly three inches length)
Eastern oyster population model Long Island Sound
Joao G. Ferreira
This insight displays some of the main factors effecting the decreasing koala population in South East Queensland, the measures put in place to stop their extinction, and the possible measures that could be taken to further help the conservation effort.
Habitat Conservation Koala Unintended Consequences Environment

This insight displays some of the main factors effecting the decreasing koala population in South East Queensland, the measures put in place to stop their extinction, and the possible measures that could be taken to further help the conservation effort.
Koala Population South East Queensland
Jessica
Simple energy balance model of a planet with albedo, ocean, and atmosphere. This simulation models the stock and flow of energy between a star, a planet’s surface (primarily its oceans, which are the largest reservoir of heat), and space.The assumptions governing this model are: 1. The planet abso
Environment
Simple energy balance model of a planet with albedo, ocean, and atmosphere.

This simulation models the stock and flow of energy between a star, a planet’s surface (primarily its oceans, which are the largest reservoir of heat), and space.The assumptions governing this model are:

1. The planet absorbs a fraction of the shortwave radiation arriving from its star, with that fraction given by (1-A), where A is albedo. 

2. The planet radiates longwave infrared radiation into space, with the amount of radiation into space given by σΤe4, where σ is the Stefan-Boltzmann constant and Te is the temperature of the effective radiating level.

3. The atmospheric lapse rate is 6 K/km.

4. If there is an imbalance between shortwave radiation absorbed and longwave radiation emitted, the imbalance affects the temperature of the planet. However, it does not do so instantaneously – the imbalance must heat or cool the mixed layer of the ocean.

5. At the start of the simulation, the planet is extremely close to equilibrium given its default parameters. If any of these parameters are changed, the planet will be out of equilibrium, and will have to adjust.

Simple Energy Balance Model
Bob Kopp
45
ENP 65000 assignment
Environment Global Warming
ENP 65000 assignment
Global warming - Cross impact analysis
Brap
Students in ENVS 270 Online at the University of Arizona: please click Clone Insight at the top to make an editable copy of this model. As initially proposed by Pr. William M White of Cornell University: http://www.geo.cornell.edu/eas/education/course/descr/EAS302/302_06Lab11.pdf http://ww
Environment
Students in ENVS 270 Online at the University of Arizona: please click Clone Insight at the top to make an editable copy of this model.

As initially proposed by Pr. William M White of Cornell University:
Global Carbon Cycle - For ENVS 270 Online
Rivka Fidel
440
Two households with PV systems and Electric Vehicles, sharing a battery and connected to the grid. What are the advantages?
Energy Environment Home Storage Renewable Energies Electric Vehicles
Two households with PV systems and Electric Vehicles, sharing a battery and connected to the grid. What are the advantages?


Vehicle to Grid Simulation
Carlos
19
Insight diagram
Environment
Clone of Tide pool food web
Fiona Firefly
As initially proposed by Pr. William M White of Cornell University: http://www.geo.cornell.edu/eas/education/course/descr/EAS302/302_06Lab11.pdf http://www.eas.cornell.edu/
Environment
As initially proposed by Pr. William M White of Cornell University:
Global Carbon Cycle
France Caron
498
Simple model of the global economy, the global carbon cycle, and planetary energy balance. The planetary energy balance model is a two-box model, with shallow and deep ocean heat reservoirs. The carbon cycle model is a 4-box model, with the atmosphere, shallow ocean, deep ocean, and terrestrial c
Environment
Simple model of the global economy, the global carbon cycle, and planetary energy balance.

The planetary energy balance model is a two-box model, with shallow and deep ocean heat reservoirs. The carbon cycle model is a 4-box model, with the atmosphere, shallow ocean, deep ocean, and terrestrial carbon. 

The economic model is based on the Kaya identity, which decomposes CO2 emissions into population, GDP/capita, energy intensity of GDP, and carbon intensity of energy. It allows for temperature-related climate damages to both GDP and the growth rate of GDP.

This model was originally created by Bob Kopp - https://insightmaker.com/user/16029 (Rutgers University) in support of the SESYNC Climate Learning Project.

Steve Conrad (Simon Fraser University) modified the model to include emission/development/and carbon targets for the use by ENV 221.
REM 221 Simple Climate-Carbon-Economic Model with Targets
Steve Conrad
28
From Schluter et al 2017  article  A framework for mapping and comparing behavioural theories in models of social-ecological systems COMSeS2017  video .   See also Balke and Gilbert 2014 JASSS  article  How do agents make decisions? (recommended by Kurt Kreuger U of S)
Agent Environment Economics Framework Behavior PCT Decision-Making Learning ABM
From Schluter et al 2017 article A framework for mapping and comparing behavioural theories in models of social-ecological systems COMSeS2017 video. See also Balke and Gilbert 2014 JASSS article How do agents make decisions? (recommended by Kurt Kreuger U of S)
Modelling human behaviour (MoHuB)
Geoff McDonnell
9 last month
Our final beer game!
Beer Game Environment
Our final beer game!
Beer Game Verweij, Lufen, Rmk, Cerniauskaite
team123
5
This model is a classic simulation of the production cycle in the ocean, including the effects of the thermocline in switching off advection of dissolved nutrients and detritus to the surface layer. It illustrates a number of interesting features including the coupling of three state variables in a
Environment Primary Production Phytoplankton Biogeochemistry Ocean
This model is a classic simulation of the production cycle in the ocean, including the effects of the thermocline in switching off advection of dissolved nutrients and detritus to the surface layer.

It illustrates a number of interesting features including the coupling of three state variables in a closed cycle, the use of time to control the duration of advection, and the modulus function for cycling annual temperature data over multiple years.

The model state variables are expressed in nitrogen units (mg N m-3), and the calibration is based on:

Baliño, B.M. 1996. Eutrophication of the North Sea, 1980-1990: An evaluation of anthropogenic nutrient inputs using a 2D phytoplankton production model. Dr. scient. thesis, University of Bergen.
 
Fransz, H.G. & Verhagen, J.H.G. 1985. Modelling Research on the Production Cycle of Phytoplankton in the Southern Bight of the Northn Sea in Relation to Riverborne Nutrient Loads. Netherlands Journal of Sea Research 19 (3/4): 241-250.

This model was first implemented in PowerSim some years ago by one of my M.Sc. students, who then went on to become a Buddhist monk. Although this is a very Zen model, as far as I'm aware, the two facts are unrelated.
Clone of NPD model (Nutrients, Phytoplankton, Detritus)
Juan Sebastian Terranova Soto
Insight diagram
Environment Sustainability Society Economy
Solution of Recycling Problem in Vancouver
Arman Mojtabavi
3
OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION The existing global capitalistic growth paradigm is totally flawed The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunb
Health Environment Economics Finance Mathematics Physics Biology Fractals Chaos TURBULENCE Engineering Navier Stokes Science Demographics Population Growth Strategy Weather
OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)

OVERSHOOT GROWTH INTO TURBULENCE
Guy Lakeman
7