Combining electromobility and renewable energies since 2014.
http://www.amsterdamvehicle2grid.nl/
Clone of Amsterdam V2G simulation 2.0
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
Model of how different features impact water supply and how water access disparity can influence conflict.
Water Distribution and Conflict: Israel & Palestine (Best-Guess Model)
Global warming - Cross impact analysis
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
This model describes phosphorus cycling in a dune-lake system in the Northland region of New Zealand. It is based on stock and flow diagrams where each orange oval represents an input, while each blue box represents a stock. Each arrow represents a flow. Flows involve a loss from the stock at which they start and add to the stock at which they end.
Phosphorus dynamics in a shallow lake
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
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
WIP Stock Flow representation of Panarchy Adaptive Cycles
Clone of Clone of Adaptive Cycles Stock Flow
Simple mass balance model for lakes, based on the Vollenweider equation:
dMw/dt = Min - sMw - Mout
The model was first used in the 1960s to determine the phosphorus concentration in lakes and reservoirs for eutrophication assessment.
This version adds diagenesis, using an extra state variable (phosphorus in the sediment) and incorporates desorption processes that release phosphorus 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 P concentration in lake
2. High loading, increasing P concentration in lake
3. Desorption rate is low, P in sediment increases
4. Measures implemented for source control, loading reduces
5. P in lake gradually decreases, but below a certain point, desorption increases, and lake P concentration does not improve
6. Recovery only occurs when the secondary load in the sediment is strongly reduced.
Vollenweider model with diagenesis
Model created by Scott Fortmann-Roe. This model illustrates predator prey interactions using real-life data of wolf and moose populations on the Isle Royale.
Experiment with adjusting the initial number of moose and wolves on the island.
Clone of Isle Royale: Predator Prey Interactions
Working Draft of a model to simulate the effect on ecosystem service values of planting 10 billion oysters in the Chesapeake Bay by the year 2025.
Clone of Oysters and Ecosystem Services 1.1
Clone of HarperCollins - Supply Chain Group Verweij,
Simple Model of the Food Chain
Clone of Food Chain
This diagram provides an accessible description of the key processes that influence the water quality within a lake.
Clone of Clone of Conceptual model of a lake
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
This model represents a broad overview of the hydrological system of Lake Okeechobee and its surrounding areas of SWFL.
SE-Model (Lake Okeechobee & SWFL Watershed)
Ce modèle est une simulation classique du cycle de productivité dans l'océan, incluant les effets de la thermocline pour désactiver l'advection d'éléments nutritifs dissous et de détritus à la couche superficielle.
Ce modèle illustre un certain nombre de caractéristiques intéressantes notamment le lien de trois variables d'état dans un cycle fermé, l'utilisation du temps pour contrôler la durée de l'advection et la fonction modulus pour les données de température qui cyclent annuellement sur plusieurs années.
Les variables d'état du modèle sont exprimées en unités d'azote (mg N m-3), et l'étalonnage est basé sur:
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.
Traduction du modèle de Joao G Ferreira (https://insightmaker.com/insight/6838/NPD-model-Nutrients-Phytoplankton-Detritus)
Le modèle NPD (nutriments, phytoplancton, détritus) basé sur la productivité primaire de la Mer du Nord
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
Combining electromobility and renewable energies since 2014.
http://www.amsterdamvehicle2grid.nl/
Clone of Amsterdam V2G simulation 2.0
Forcings and feedbacks based on Tom Fiddaman, James Hansen and other feedback and cycle diagrams
Climate change dynamics
