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)
This model explains the mussel growth (Mytillus Edulis) based on primary production of phytoplankton biomass.
Light, nutrients and temperature were used as forcing functions over a two year period.
Mussel Growth based on Phytoplankton Biomass
Simple mass balance model for lakes based on the Vollenweider equation:
dMw/dt = Min - sMw + pMs - Mout
The model was first used in the 1960s to determine the phosphorus concentration in lakes and reservoirs for eutrophication assessment.
This version considers mercury, and adds diagenesis, using an extra state variable (mercury in the sediment), and incorporates desorption processes that release mercury trapped in the sediment back to the water column.
The temporal dynamics of the model simulate the typical development of pollution in time.
1. Low loading, low Hg concentration in lake
2. High loading, increasing Hg concentration in lake
3. Desorption rate is low, Hg in sediment increases
4. Measures implemented for source control, loading reduces
5. Hg in lake gradually decreases, but below a certain point, desorption increases, and lake Hg concentration does not improve
6. Recovery only occurs when the secondary load in the sediment is strongly reduced.
Clone of Mercury pollution model with diagenesis
Hudson River Estuary Food Web
In Chile,
60% of its population are exposed to levels of Particulate Matter (PM) above international standards. Air Pollution is causing
4,000 premature deaths per year, including health costs over US$8 billion.
The System Dynamics Causal Loop Diagram developed herein shows an initial study of the dynamics among the variables that influences the accumulation of PM in the air, in particular the case of Temuco, in the South of Chile. In Temuco, 97% of the PM inventories comes from the combustion of low quality firewood, which in turns is being burned due to its low price and cultural habits/tradition.
Clone of Air Pollution Dynamics - Firewood Combustion
Food Security and Climate Change in East Africa
Killed People by Made-up virus
Fluxograma da produção de biodiesel a partir de microalgas
Interplay between wolves eating sheep and farmers killing wolves who kill deer that eat crops that feed sheep.
Complex Sheep, Wolves, Deer, Crops
This model shows the cycling of Mercury within a coastal wetland system. This cycling shows Elemental Mercury, Hg 2+, and Methylmercury within the soil, water, and air, and also interaction with the plants in the system.
Total wetland transpiration: 1.95x10^-5 m^3 m^-2 s^-1
Settling rate and resuspension units (%of settling): g m^-2 day^-1
Project 2 Wetland Mercury
Polyrhachis identification chart
Not aware of your Polyrhachis identification type, use this to help identify it.
(Not all species listed) (all located on Australia)
Polyrhachis identification chart
Simple box-model of the global carbon cycle
Clone of Global Carbon Cycle
Verkoppelung der drei Teilmodelle zu einem Gesamtmodell, der "Miniwelt" im Umfang von Bossel.
Eine Modifikation besteht darin, dass ein hohes Konsumniveau wieder zu einer Absenkung der Geburten führt.
Miniwelt nach Bossel, Reiche kriegen weniger Kinder
Interplay between wolves eating sheep and farmers killing wolves.
Sheep and Wolves
Collapse of the economy, not just recession, is now very likely. To give just one possible cause,
in the U.S. the fracking industry is in deep trouble. It is not only that most
fracking companies have never achieved a free cash flow (made a profit)
since the fracking boom started in 2008, but that an already very weak and unprofitable oil industry cannot cope with
extremely low oil prices. The result will be the imminent collapse of the
industry. However, when the fracking industry collapses in the US, so will the American
economy – and by extension, probably, the rest of the world economy. To grasp a
second and far more serious threat it is vital to understand the phenomenon of ‘Global
Dimming’. Industrial activity not only produces greenhouse gases, but
emits also sulphur dioxide which converts to reflective sulphate aerosols in the
atmosphere. Sulphate aerosols act like little mirrors that reflect sunlight
back into space, cooling the atmosphere. But when economic activity stops, these
aerosols (unlike carbon dioxide) drop out of the atmosphere, adding perhaps as
much as 1° C to global average temperatures. This can happen in a very short period
time, and when it does mankind will be bereft of any means to mitigate the
furious onslaught of an out-of-control and merciless climate. The data and the unrelenting
dynamic of the viral pandemic paint bleak picture. As events unfold in the next few months, we may discover that it is too late to act, that our reign on this planet has, indeed, come to an abrupt end?
Covid 19 - irreversible and catastrophic consequences
Simple model to illustrate oyster growth based on primary production of Phytoplankton as a state variable, forced by light and nutrients, running for a yearly period.
Phytoplankton growth based on on Steele's and Michaelis-Menten equations), where:
Primary Production=(([Pmax]*[I]/[Iopt]*exp(1-[I]/[Iopt])*[S])/([Ks]+[S]))
Pmax: Maximum production (d-1)
I: Light energy at depth of interest (uE m-2 s-1)
Iopt: Light energy at which Pmax occurs (uE m-2 s-1)
S: Nutrient concentration (umol N L-1)
Ks: Half saturation constant for nutrient (umol N L-1).
Further developments:
- Nutrients as state variable in cycle with detritus from phytoplankton and oyster biomass.
- Light limited by the concentration of phytoplankton.
- Temperature effect on phytoplankton and Oyster growth.
Oyster Growth based on Phytoplankton Biomass
Simple (Kind of) food web of the Cane Toad Species. Includes different levels of consumers including predators.
Clone of Cane Toad Food Web
Interplay between wolves eating sheep and farmers killing wolves.
Simple Sheep and Wolves
Australian King parrot food web
Combining electromobility and renewable energies since 2014.
http://www.amsterdamvehicle2grid.nl/
Clone of Amsterdam V2G simulation 2.0
Westley, F. R., O. Tjornbo, L. Schultz, P. Olsson, C. Folke, B. Crona and Ö. Bodin. 2013. A theory of transformative agency in linked social-ecological systems. Ecology and Society 18(3): 27. link
Clone of Transformative Agency in Social-Ecological System
Factors Affecting the Koala Mortality Incline