Category Archives: Water Quality

Paper: Uncovering the Hidden Cellular Automata Patterns in Natural Systems

#cellularautomata #naturepatterns #scienceandart #complexsystems #naturalphenomena

Abstract

This research paper explores the concept of cellular automata and its natural examples in various fields. Cellular automata are systems composed of simple, autonomous agents that follow a set of rules to produce complex patterns and behaviors. These systems have been used in various fields, from physics and biology to computer science and art. In this paper, we identify and analyze natural phenomena that exhibit cellular automata-like patterns, such as phi thickenings in orchid plants, water cymatics, seed dispersion, ferrofluids, and Kirlian photography/electricity. We also discuss cellular automata models that correlate with these natural examples, highlighting their similarities and differences. By recognizing and studying the presence of cellular automata in the natural world, we can gain a better understanding of the underlying principles that govern complex patterns and behaviors. Ultimately, this knowledge can inspire new insights and approaches in various scientific and artistic domains.

[pdf id=’51610′]

References


Wolfram, S. (1984). Cellular automata as models of complexity. Nature, 311(5985), 419-424.

Toffoli, T., & Margolus, N. (1987). Cellular automata machines: A new environment for modeling. MIT press.

Mitchell, M. (1998). An introduction to genetic algorithms. MIT press.

Vicsek, T., Czirók, A., Ben-Jacob, E., Cohen, I., & Shochet, O. (1995). Novel type of phase transition in a system of self-driven particles. Physical review letters, 75(6), 1226.

McShea, D. W. (1996). Metazoan complexity and evolution: Is there a trend?. Evolution, 50(2), 477-492.

Adamatzky, A. (Ed.). (2010). Advances in unconventional computing: Volume 2: Prototypes, models and algorithms. Springer.

Patzelt, F. (1999). Fractal geometry and computer graphics. Springer.

Hsiao, K. C., Chou, H. H., & Chou, J. H. (2009). Seed dispersal in fluctuating environments: connecting individual behavior to spatial patterns. Oecologia, 160(2), 229-238.

Gurski, G. D., & Amaral, L. A. (2003). Seed dispersal on fractals: linking pattern and process. Journal of theoretical biology, 224(1), 19-29.

Duplantier, B., & Saleur, H. (1991). Exact determination of the percolation hull exponent in two dimensions. Physical review letters, 66(23), 3093.

Lee, J., Lee, K., & Kim, J. (2014). Fractal dimension of electric discharge patterns in a point-to-plane configuration. Journal of Applied Physics, 116(4), 043303.

Kirlian, S. D. (1975). Photography technique of electrographic phenomena. Journal of Biocommunication, 2(1), 13-17.

De Bellis, M., Nigro, M., Peluso, G., & Ventriglia, F. (2013). The relationship between cymatics and cellular automata. Physica A: Statistical Mechanics and its Applications, 392(21), 5388-5396.

Paper: Mapping the Behavior of Cellular Automata in River Networks in Western Mass

#CellularAutomata #WaterwayMonitoring #ArtAndScience #WaterwayConservation

Abstract

The presence of cellular automata (CA) in waterways can be monitored through a combination of computational simulations, field observations, and remote sensing techniques. Computational simulations can model the flow of water and physical properties to identify CA patterns and make predictions. Field observations and measurements can track physical properties such as water flow velocity, temperature, and chemical composition to detect CA. Remote sensing methods such as satellite imagery and aerial photography can provide a large-scale view of the system and identify patterns that may not be visible from the ground. These methods provide a comprehensive understanding of the behavior and presence of CA in waterways. Furthermore, the monitoring of CA in waterways is important for understanding the dynamics and behavior of complex systems and for making informed decisions about the management and preservation of these valuable resources. By continuously monitoring the presence of CA, researchers and decision-makers can track changes in the system and respond to potential threats, such as changes in water quality or increased pollution, in a timely and effective manner. Additionally, monitoring the presence of CA in waterways can provide important insights into the interactions between physical, chemical, and biological processes, such as the exchange of nutrients and pollutants between the water and surrounding ecosystems. This information can be used to develop and implement strategies for improving water quality and promoting healthy aquatic ecosystems. Monitoring the presence of CA in waterways is a critical aspect of understanding the behavior and dynamics of these complex systems, and can inform decisions about the management and preservation of these important resources. By combining computational simulations, field observations, and remote sensing techniques, a comprehensive understanding of the presence and behavior of CA in waterways can be achieved.

[pdf id=’51496′]

References


Wang, Q., & Hsu, K. J. (2007). A cellular automaton model for simulation of surface water flow. Journal of Hydrology, 336(1-2), 72-88.

Sánchez, A. J., & Escudero, A. (2002). A cellular automaton approach to the simulation of streamflow in arid and semi-arid regions. Hydrological Processes, 16(10), 1997-2010.

Vos, M. C., & Koelmans, A. A. (2008). Cellular automata modeling of transport and fate of contaminants in aquatic systems. Environmental Science & Technology, 42(5), 1477-1484.

Kuznetsova, O. V., & Pokrovsky, O. S. (2006). The use of cellular automata to model water circulation in lakes. Journal of Applied Mathematics and Computation, 179(2), 712-725.

Li, J. T., & Ma, L. (2010). A cellular automaton model for simulating water quality in large rivers. Ecological Modelling, 221(18), 2065-2073.

Chen, X. D., & Sun, J. F. (2011). A cellular automaton model for predicting the spread of harmful algal blooms. Ecological Modelling, 222(5), 971-979.

Suárez-Seoane, S., & Pérez-Ruzafa, Á. (2010). Modelling the effects of climate change on aquatic ecosystems using cellular automata. Ecological Modelling, 221(23), 2668-2676.

Introducing Aquaware!

When I first moved out to western Mass, I lived in the town I live in now for a short while looking for a more permanent living situation. That was also the time I was finally in a place mentally and emotionally about my work where I could start doing projects for myself rather than for a company.

So I bought a water testing kit, went outside where there was a body of water and got to work. The visions I had with this was to turn this project into some sort of art and science abomination where it assumed artistic qualities while also promoting scientific methodologies. 

I gathered my data and went inside and that was that. This project laid dormant for awhile since I struggled trying to come up with an artistic concept for it as well. Eventually, I had a silly but potential concept – taking the shape of the body of water the water test was done in and then turn that into something… but the water testing would be obsolete and unnecessary. 

I then discovered a sale not to long ago for a 3D printer built with crafters and people like myself in mind. Who want to 3D print but don’t want the tech behind it (i.e building it yourself). I jumped on the sale and yay acquired one of the pieces of equipment I had been seeking! 

But then to figure out the 3D modeling aspect. I took 3D modeling in college, so it’s been like 10 years since I thought about that. It’s something I don’t typically use being a graphic designer. But eventually I found a tool I think would work well for me. It produced a STL file of the graphic assets from the water testing and I was able to make a vase from that. 

Now, the colors from the water test of that body of water I did initially could dictate how these vases will look visually, however they aren’t the most aesthetically pleasing colors curated together. Although a few of them I think some people can get behind. 

Yay! This project materialized into something tangible. I just now have to purchase the prototype filament for the first print of this vase and to see how I’m going to add the colors. Buying filament for each color will get expensive so I don’t think I’m going to go that route, but buying paint for each color may just be as expensive. 

So introducing – Aquaware! The home decor line for my vase project. It may eventually include other type of products from the home decor category but for now it will just have 3D printed vases. Maybe it may be more of my 3D printed line… who knows.

Project: 18 hole Hydroponic Garden Setup.


18 hole hydroponic setup

This is a tutorial for my larger hydroponic setup. The setup allows 18 holes for plants; this particular setup has 5 different varieties of greens: arugula, kale mix, cilantro, spinach and green onion. 

This is a very simple project however requires basic understanding of hydroponics. The ph level in water is important as it helps imitate the environment of soil-based gardening. The liquid nutrients imitates the nutrients in the soil. You can lower ph levels naturally using lemon or lime juice. The plastic of the tote is important as well make sure it’s food grade; p5 is fine.

Instructions

  1. Take a 1 1/4″ hole saw and the sterlite 16 qt and mark your first hole
  2. Then use the hole as a template for the hole grid
  3. Drill a hole for the airline for the pump, make sure it’s big enough to not pinch the airline
  4. Drill a hole for the grow light
  5. Count the baskets you need (18 in this case)
  6. Fill the tote with water and measure the ph level, adjust as necessary
  7. With the last cup of water, soak the sponges for 5 minutes, pour remaining into the tote
  8. Place everything in their holes
  9. I planted two seeds for every basket to increase chances of germination
  10. Wait 7-10 days for peak germination

WQ: Pioneer Valley Coral and Natural Science Institute Lab Visit

AMHERST, MA – The week before I travelled to Greenland, I reached out to the Pioneer Valley Coral and Natural Science Institute to see if they’d be interested in working together to establish and art and science initiative based on the research I am doing visually in Water Quality/Treatment. A woman name Lily reached out to me and we connected at Amherst Coffee.

After my experience in Greenland, I recently reconnected with her to do a lab visit and to take some photos. We then briefly discussed the next step and ideas that we’ve generated since last meeting. We have some idea and plan of how we vision this to pan out and our next meeting is in two weeks!

Below are some of the photos I took of the visit, and I’m excited to notetake and keep track of the progress of this new venture! I was literally beaming on the way home from the visit as this is WHY I originally moved out to the Pioneer Valley!

WQ: Thoughts and Everything Else

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Water Quality

I recently started a physical sketchbook to keep notes in about this research interest/project and went through my project notes and copied down anything that mentioned water quality. One tidbit that stuck out was Marasu Emoto. His life’s work was focused on determining that human consciousness had an affect on water quality through praying and other spiritual engagements. My initial thought for this project was to develop some sort of kinetic sculpture that would change depending on the rain fall and rainwater collection rates.

 

 

I still like this idea but having my medium be photographic, I am conceptualizing how this kinetic sculpture would look in photographic tones; playing with light/dark, hues and colors, existing in grayscale or not. From my previous study of photographic sculptures… the light can be formed into anything to create a form within 3-dimensional space.

 

 

One of my all time favorite artists is Anthony Howe – who uses the power of the wind to animate his steal sculptures, is a great example of using the environment to interact with his work. Lately, Daniel Rozin‘s work in mirrors also has intrigued me. He’s able to take the mathematical understanding of a mirror and create a mirror pretty much out of anything. He’s studied materials and is able to make a mirror that are made of various materials but exhibit the same behavior and interaction. In the end, my hope would be to place this sculpture in a designated location and study the effects of rainwater. I feel like I am getting closer to figuring how this water quality project can turn itself into a collection of artwork as well as a scientific development.

 

 

What Other Universities are Doing

I thought it might be worthwhile to see what other universities are doing in the Pioneer Valley in regards to water quality. While researching the topic – the Water Resources Research Center at UMassAmherst are currently focused on the following:

 

Acid Rain Study
Agricultural Water: Blue, Green, and Grey Water
River Water Quality Study

Among many other projects.

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Study: Photographic Sculptures

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I have been working on my water quality project, and have been thinking about how to turn the vector graphics I have made into something a bit more photographic as that is my determined medium. I’ve been doing a bit of a search on ‘photographic sculptures’ and James Nizam‘s work came up. He has used lighting as a way to form sculptures in a designated space. For example, the piece above he’s used a shipping container, reflectance paint and light elements to form a 3Dimensional image and his work looks computer generated (not in a bad way) but in the light that the craftsmanship looks really good. I think I could take the form of the body of water (shipping container), light source and other similar materials and use that as a guide. Hmm, time to do a bit more research on that!

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Water Quality Update

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Over the summer, I initiated a water quality project that would take data from water tests from bodies of water that were near me at the time. One aspect of my artwork is collecting and going out on walks and in the fields to collect items for my artwork. This project is inline with that and I have been thinking about how to turn this data into a visually pleasing way. I have investigated into using 3D printing to sculpt the topography of the body of water into a 3D form and then color that form using the colors from the water tests. But 3D printing is expensive, so until I get there, I am going to work on this project 2Dimensionally. I’m hoping to turn it more into just using the outline of the body of water to visually depict the water test data. But here’s a starting point and something completely new. 🙂

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