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Using Artificial Intelligence to track ocean plastic

Using Artificial Intelligence to track ocean plastic

There’s so much plastic in the ocean that sometimes it seems like humans will never be able to tackle it all. Apparently, there are some scientific researchers who feel the same way about humans — so instead, they are using satellites and artificial intelligence to detect ocean plastic.

Earth observation scientists from the UK’s Plymouth Marine Laboratory call their project the first successful study using satellites to detect patches of plastic pollution in the ocean. To conduct the study, which was published in the journal Scientific Reports, the scientists looked at optical data from the European Space Agency’s Sentinel-2 satellite fleet.

The satellites were programmed to detect plastic particles larger than 5mm (macroplastics) and distinguish these patches of plastic debris from natural floating objects (like seaweed or driftwood); on average, there was a 86 percent accuracy rate. The researchers used four coastal case study sites: Canada’s Gulf Islands, the east coast of Scotland, the coastal waters off Ghana, and the coastal waters off Da Nang, Vietnam.

Generally, pieces of ocean plastic are too small for satellites to detect from far away — so how did the Plymouth Marine Laboratory team pull this off? They did so by using the satellites to detect plastic’s reflected light signature in the water rather than the plastic itself.

“You’re never going to see an individual plastic bottle floating on the sea, but we can detect aggregations of this material,” author Dr. Lauren Biermann told BBC News ahead of the study being published.

“Vegetation has a good signature that we can look for, whereas plastic has a different signature,” Biermann explained to the news outlet. “So, we can start to un-mix the pixel and say, ‘Right, how much of this pixel that I’ve detected that is nice and bright in my new floating debris index — how much of it seems to be plant material, and how much seems not to be plant material?’”

So, what will the Plymouth team do with this research? Moving forward, they have three steps planned. First, they will work on automating the manual steps for detecting and classifying plastic using the Sentinel-2. Second, they will work on making the detection algorithms more reliable in water with higher turbidity (cloudiness), where it’s harder to visually detect floating objects. And third, they plan to optimize their overall approach to satellite plastics detection, which they will do by gathering data from large rivers, tidal areas, and turbid areas.

Additionally, the researchers believe that their methods can be reproduced using various other remote sensing platforms that are similar to the Sentinel-2, such as drones.

 

Plastic pollution is a huge issue.

“Plastic pollution is a global issue,” Dr. Biermann said in a statement on Plymouth Marine Laboratory’s website. “This method will hopefully provide a stepping stone for satellites and drones to be used to tackle the marine plastics problem at the end of the product lifecycle. However, we will only ever make meaningful progress if we also tackle the source and reduce the amount of plastics produced.”

 

How many million tons of plastic are dumped in oceans every year?

Scientists estimate that a whopping 8 million tons of plastic pollution enter our oceans every year. In addition to efforts to detect and remove plastic from the ocean, humans seriously need to work on reducing our reliance on single-use plastics and therefore how much plastic enters and pollutes our oceans.

Scientists Are Using Artificial Intelligence to Detect Ocean Plastic [Green Matters]

 


 

Source: https://www.coolbusinessideas.com/

By Min Tang

Poor air quality leads to depression and bipolar disorder, study finds

Poor air quality leads to depression and bipolar disorder, study finds

Air pollution chokes lungs and shortens lives but is also linked to a higher risk of mental illnesses, said researchers on Tuesday in a study based on health data from millions of patients in the United States and Denmark.

People exposed to poor quality air in both countries were more likely to be diagnosed with bipolar disorder or depression, found the study, although critics argued it was flawed and said more research was needed to draw firm conclusions.

“There’s quite a few known triggers (for mental illness) but pollution is a new direction,” study leader Andrey Rzhetsky, of the University of Chicago told the Thomson Reuters Foundation.

“Research on dogs and rodents shows air pollution can get into the brain and cause inflammation which results in symptoms resembling depression. It’s quite possible that the same thing happens in humans.”

The World Health Organization (WHO) estimates that air pollution kills 7 million people each year – equivalent to 13 deaths every minute – more than the combined total of war, murder, tuberculosis, HIV, AIDs and malaria.

It could shorten the life expectancy of children born today by an average of 20 months, according to research published by U.S. nonprofit, the Health Effects Institute, earlier this year.

Increasing concern over the issue has seen cities including Paris, Bogota, and Jakarta experiment with car-free days.

But while pollution’s impact on physical health is well known, links with mental illness have been less explored.

Researchers compared health data and local pollution exposure for 151 million U.S. residents and 1.4 million Danish patients for the study published in the PLOS Biology journal.

 

Cartogram maps showing the spatial patterns of apparent neurological and psychiatric disorder prevalence inferred from IBM MarketScan database.
Image: PLOS Biology

 

For the Danish patients they compared mental health to exposure to air pollution up to the age of 10 while in the United States they looked at real-time pollution levels.

Childhood exposure was linked to a more than two-fold increase in schizophrenia among the Danish patients, said the researchers, as well as higher rates of personality disorder, depression and bipolar.

The U.S. data also found poor air quality was associated with higher levels of bipolar and depression, but did not find it was correlated to several other conditions including schizophrenia, epilepsy, and Parkinson’s disease.

However, the study has proved controversial.

A critical commentary by Stanford professor John Ioannidis, which was published alongside the study, said it raised an “intriguing possibility” that air pollution might cause mental illnesses but had failed to make a clear case.

“Despite analyses involving large datasets, the available evidence has substantial shortcomings and a long series of potential biases may invalidate the observed associations,” he wrote.