Your Flight’s Emissions Are Significantly Greater Than the Carbon Calculator Indicates

SEI 272425115

Contrails from aircraft may amplify the warming effects of air travel

Image Professionals GmbH/Alamy

If you’re using a carbon footprint calculator to assess your flight’s environmental impact, prepare for some surprises. The true effect of air travel can be significantly higher than what most CO₂ calculators indicate.

“These figures are quite alarming,” states Juma Sadukhan from the University of Surrey, UK. She and her team assessed four popular calculators against the one they developed.

For instance, consider a first-class flight on a B777 from Singapore to Zurich. At the time of this research, calculators from the International Civil Aviation Organization (ICAO) and the International Air Transport Association (IATA) estimated the emissions to be around 3000 kilograms of CO₂. In contrast, the Google Travel Impact Model (TIM) places the estimate around 5,000 kg, while MyClimate suggests about 8,000 kg. However, the in-flight emissions calculator developed by Sadukhan and her team estimates the actual emissions exceed 14,000 kg.

“The implications are substantial,” adds team member Eduardo Goan, in collaboration with the Austria-based Therme Group.

The new tool, called the Airline Passenger Dynamic Emissions Calculator (ATP-DEC), diverges from existing calculators in two main ways. Firstly, instead of assuming flights take a perfect route, it utilizes historical data to ascertain the most probable route, actual flight duration, and the time spent taxiing before takeoff and after landing, including the typical occupancy of the aircraft.

Unlike other calculators, this one is dynamic, as past flight data is continuously updated according to Goan. For example, many flights are now taking longer paths due to the conflict between Russia and Ukraine, a change that other calculators fail to recognize.

The second key difference is that ATP-DEC accounts for all the known factors influencing flight’s climate impact, such as contrail formation, nitrogen dioxide emissions, and water vapor. Notably, contrails can exert a greater warming influence than CO₂ emissions alone.

Other flight calculators often omit these factors or use generalized data. “They don’t adjust according to the type of aircraft, fuel efficiency, or environmental conditions,” says Sadukhan. “Our tool is far more comprehensive.”

Goan mentions that the team plans to make this calculator publicly accessible and is working on an app slated for release early next year. “If an airline wishes to incorporate ATP-DEC, they could start immediately,” he says, though establishing the necessary data connections might take weeks or even months.

Current flight emissions calculators may allow travelers to voluntarily contribute a modest fee to “offset” their carbon footprint. Nonetheless, several studies indicate that many offset programs fail to fulfill their claims.

An ICAO representative stated that the methodology for ICAO’s carbon emissions calculations can be accessed at: its website. “This calculator does not consider the climate change impacts of aircraft emissions using radiative forcing indices.” They noted that “Such multipliers need to be factored in, given the lack of a scientific consensus.”

“TIM is a free, precise, and transparent resource that assists consumers in selecting flights with lower emissions,” affirmed Dan Rutherford from the International Clean Transportation Council, a nonprofit organization that guides Google on enhancing its CO₂ calculator. “We will keep refining the model, including the integration of short-lived climate pollutants like contrails, to enhance its utility for the flying public.”

“We find this study to be a valuable contribution to the ongoing dialogue,” stated Kai Landwehr from MyClimate. Landwehr emphasized that no single method is foolproof due to the uncertainties surrounding the impacts of global warming, such as those resulting from contrails. However, utilizing improved and current data can boost accuracy. “We intend to update the calculator in the upcoming months to integrate best practices and insights from this research.”

IATA has also been approached for comments.

topic:

Source: www.newscientist.com

AI Death Calculator: Highly Accurate Prediction of Your Time of Death

This is a matter of life and death – no doubt about it. bot it.

Most people aren’t in a huge hurry to know when the big bite is going to bite, but a newly developed AI death calculator can now predict when a person will die with eerily accurate accuracy.

“We use the technology behind ChatGPT (what we call the Transformer Model) to analyze human life by representing each person as a series of events that occur in their life,” December 2023. said Sune Lehmann, lead author of the study.Predicting human life using a sequence of life events” he told the Post.

In their report, the professor of networks and complex systems at the Technical University of Denmark and his co-authors describe a method known as “life2vec,” which uses selected details of an individual’s life, such as income, occupation, place of residence, and health history. Introducing the algorithm that can be used. Determines life expectancy with 78% accuracy.

Researchers in Denmark and the United States have developed an algorithm that can approximate when a person will die by looking at specific details of their life. Getty Images/iStockphoto

“We take advantage of the fact that human life in some ways shares similarities with language,” Lehman explained. “Just as words follow one another in a sentence, events follow one another in human life.”

It’s a little different than ChatGPT. It’s the ever-popular bot that tech wizards are employing to land their dream job or curate the perfect outfit. By closely examining a man or woman’s past, life2vec can calculate the outcome of that person’s life.

“This model can predict almost anything,” Lehman told the Post. He said his research team also uses this specialized program to predict people’s personalities and international movement decisions.

“We predicted death because that’s what people (insurance companies, for example) have been doing for years,” he added. “So we were very aware of what could happen.”

Researchers fed detailed facts about a person into an algorithm that determined whether that person would survive at least four years after January 1, 2016. adobe stock

From 2008 to 2020, Lehman’s team studied a heterogeneous population of 6 million Danes of different genders and ages. Analysts used life2vec to identify participants who were likely to survive at least four years after January 1, 2016.

“The scale of our dataset allows us to represent individual human life trajectories at the sequence level, providing a detailed representation of how each person moves over time,” the report said. is written. “We’re looking at how an individual’s life evolves across different types of events (information about heart attacks mixed with information about salary increases and moving from urban to rural areas). You can observe it.”

Researchers used plain language such as “In September 2012, Francisco received 20,000 Danish kroner as a guard at Elsinore Castle” and “Hermione followed in her third year at secondary boarding school.” was used to enter AI-specific information about each study participant. 5 elective classes. ”

We then assigned different digital tokens to each piece of data, all of which were categorized very specifically. For example, a forearm fracture is represented as S52. Working in a tobacco store is coded as IND4726 and income is represented by 100 different digital tokens. And “postpartum hemorrhage” is O72.

Life2vec accurately calculated mortality predictions for a study population of 6 million Danes. adobe stock

life2vec used the information provided to predict who would die by 2020 almost perfectly over three-quarters of the time.

Research shows that factors that can contribute to early death include being male, having a mental health diagnosis, and working in a skilled occupation. Earning a higher income or holding a leadership role were both associated with longevity.

However, Lehman stressed to the Post that study participants were not given a prediction of death.

“That would be extremely irresponsible,” he said, adding that he and his team ultimately hope to share details of the results in a way that protects the privacy of study participants.

Lehman said once the algorithm is released to the public, it will not be used to make judgments against individuals. adobe stock

“But we can still learn from it [life2vec] What are the factors that might help people live longer?” Lehman said. “We haven’t delved too deeply into this, but this is another important application of the model.”

Currently, this bot is not available to the general public or businesses. And even if it were to be deployed at scale, this AI would not be used to notify specific individuals in cases such as writing insurance policies or making hiring decisions. Probably not, says Prober.

“Forecasting is not used for anything,” Lehman argued. “The point of life2vec is to understand what is predictable and what is not.”

Source: nypost.com