INTRODUCTION:

Using AI for Climate Resilience change is a commitment to protecting the environment as much as it is a technological advance. Artificial intelligence (AI) is a potent tool for comprehending, forecasting, and reducing the effects of climate change, which is a matter of growing concern. The possibility for creative solutions keeps expanding as long as we keep spending money on AI technology and data gathering techniques.

The urgency of tackling climate change has increased due to the increase of greenhouse gas emissions, rising temperatures, and extreme weather occurrences. Our planet is facing a serious challenge from climate change, one that calls for creative solutions and societal cooperation.

Artificial intelligence (AI) in particular is crucial to this battle. AI is helping enterprises produce more sustainable and efficient solutions by processing massive volumes of data, extracting insightful knowledge, and enhancing predictive models. The collaboration between Microsoft and The Nature Conservancy to map and track coral reefs using AI technology is one such instance.

We have seen the amazing potential of AI in tackling those issues, from forecasting climate changes to averting megafires. Artificial Intelligence technology transforms the fight against climate change in such ways:

•          Climate Change Monitoring and Forecasting:

AI is being utilized extensively in the fight against climate change, primarily for the purpose of monitoring and forecasting its effects. Artificial Intelligence has the capability to forecast future climate changes and give real-time information on weather trends by analyzing data from weather stations, satellites, and other sources. Communities and authorities can use this to build mitigation and adaptation plans that work.

• Adaptation to Climate Change:

Adapting to a changing climate entails making adjustments to lessen its 

adverse effects.

Artificial Intelligence (AI) can help with this by analyzing data on climate change vulnerabilities and risks and making recommendations for adaption measures.

Communities may be better able to endure the effects of climate change and prepare for them as a result.

• Energy Efficiency and Intelligent Structures in the Built Environment:

Artificial Intelligence (AI) in the built environment has made it possible to create “smart” buildings, which employ AI to optimize building systems (such as HVAC and electrical systems) and lower energy and water consumption while preserving occupant comfort.

By evaluating data from homes, businesses, and buildings, artificial intelligence (AI) is being applied in the field of energy efficiency to pinpoint problem areas and recommend energy-saving fixes. This lowers carbon emissions while also saving money for both people and companies.

• Ecological Farming:

                   Due in large part to fertilizer use and changes in land use, agriculture contributes significantly to greenhouse gas emissions.

AI can support sustainable agriculture by evaluating data to support farmers’ decision-making, including crop yields, soil health, and weather patterns. Reductions in emissions and improved resource efficiency may result from this.

• Early Identification of Wildfires:

                   AI is being used by Berlin-based startup Dryad to identify minor burns before they become more serious as wildfires become more widespread.

Artificial intelligence (AI) sensors detect particular chemicals emitted during burning using electronic “noses” implanted in woods. Timely extinguishment of fires while they are still manageable is made possible by this proactive strategy. Artificial Intelligence (AI) is revolutionizing firefighting with 50 installations worldwide, including one in Lebanon where sensors responded in less than 30 minutes.

An example of the application of AI in environmental discourse is provided by Appen’s effort in using computer vision automation to fight wildfires.

Following the implementation of our net zero roadmap in 2023, Appen has accomplished the following thus far:

Appen’s platform has allowed data scientists to push the boundaries of what is possible and grow personally by employing cutting-edge machine learning techniques.

• Keeping Megafires At Bay:

AI helps prevent rather than just detect. Megafire fuel is reduced when “controlled burns” are scheduled outside of the fire season.

According to Yolanda Gil of the University of Southern California, artificial intelligence (AI) is vital in giving burn managers information on wind patterns and vegetation moisture content. It is an intentional tactic to reduce wildfire intensity and protect the ecosystem.

Recycling More Waste:

By improving trash management, another AI system is contributing to the fight against climate change.

As per the US Environmental Protection Agency, waste generates a significant amount of methane and accounts for 16% of the world’s greenhouse gas emissions.

An artificial intelligence (AI) system called Greyparrot, a London, UK-based software business, has been developed to help trash processing and recycling facilities recover and recycle more waste material.

• AI-Based Mapping of Deforestation:

Mapping the effects of deforestation on the climate issue also makes use of artificial intelligence, satellite imagery, and ecological knowledge.

Edinburgh, Scotland-based Space Intelligence claims to be operating in over 30 nations and to have used satellite data to map over a million hectares of land from space.

Using remote technology, the company evaluates indicators including the pace of deforestation and the amount of carbon stored in forests.

• AI Understands Melting of  Icebergs:

AI is able to detect changes in icebergs 10,000 times quicker than a human could, so it can predict where and how quickly they will melt.

With the atmosphere getting warmer due to climate change, scientists will be able to better grasp how much melt water icebergs leak into the ocean.

Large Antarctic icebergs can be mapped by British scientists at the University of Leeds using artificial intelligence (AI) in less than a hundredth of a second, according to satellite photographs, as reported by the European Space Agency.

Since icebergs are difficult to see through the White Sea ice and clouds, this task takes a long time for humans.

• Artificial Intelligence Purifies the Seas:

Artificial intelligence (AI) and other technologies are being used by The Ocean Cleanup, an environmental initiative in the Netherlands, to help remove plastic trash from the ocean.

The organization is using AI in remote regions to detect things and produce precise maps of ocean debris. After that, the ocean waste may be collected and removed, which is a more effective cleanup procedure than utilizing trawlers and airplanes in the past.

• AI Aids in Climate Disaster Prediction:

Sipremo, a Brazilian firm, uses artificial intelligence (AI) to forecast the location, timing, and nature of climate disasters in São Paulo.

In order to better prepare for climate change and the increasing difficulties it poses for communities, the goal is to assist governments and businesses.

The company’s research of disaster situations and aspects like air quality can help determine whether to postpone or halt activities. It works in the insurance, energy, logistics, and sports industries.

• Reforestation of Drones By Brazil :

In order to reforest the hills surrounding Rio de Janeiro, Brazil, drones and AI-powered computers are collaborating, according to Reuters. The computers specify the goals and quantity of seeds that need to be released.

Launched in January 2024, the initiative intends to cultivate seeds in hard-to-reach places and is collaboration between Rio’s municipal council and start-up Morfo.

The local government claims that a single drone can disseminate 180 seed capsules each minute, which is 100 times faster than traditional reforestation done by hand.

A single drone can disperse 180 seed capsules per minute, which is 100 times faster than using human hands for traditional reforestation, according to the local government.

• AI in Industry Decarbonization:

AI is being utilized to assist businesses in the mining, oil, and gas, as well as metals, sectors in decarbonizing their operations.

An emissions-tracking platform called Eugenie.ai, with its headquarters in California, combines data from machines and processes with satellite photography.

AI then examines this data to assist businesses in tracking, tracing, and achieving a 20–30% reduction in emissions.

Approximately 30% of greenhouse gas emissions worldwide are produced by the industrial sector.

Technology’s use in the fight against climate change will advance along with it. AI is become even more adept at using the correct data and tools to deliver insights and all-encompassing solutions for climate action, thanks to developments like machine learning and big data analytics. It could be of immense help to us in building a sustainable future.

FUTURE PREDICITONS OF AI IN COMBATTING CLIMATIC CHANGES:    

                             Artificial intelligence (AI) has the potential to help combat climate change. AI programs that follow icebergs, forecast the weather, and detect pollutants are already in existence.

The World Economic Forum claims that artificial intelligence (AI) may be used to both enhance and lessen the environmental impact of agriculture.

• AI maximizes energy use in transportation, industry, and buildings. Artificial intelligence (AI)-powered energy management systems and smart grids lower waste and boost the effectiveness of renewable energy sources like wind and solar power.

Moreover, by forecasting natural disasters like floods, hurricanes, and wildfires, artificial intelligence (AI) helps with disaster preparedness and response. It assists with evacuation route planning, resource distribution, and damage minimization.

Industry transformation is being brought about by artificial intelligence’s (AI) capacity to process massive volumes of data and assist humans in making decisions. Another area where AI has transformative potential is in the fight against climate change, one of the world’s most difficult problems.

The World Health Organization estimates that about 4 billion people already reside in regions that are extremely vulnerable to climate change. Additionally, it is predicted that between 2030 and 2050, this will result in an additional 250,000 fatalities annually from heat, diarrhea, malaria, and undernourishment.

The World Health Organization estimates that about 4 billion people already reside in regions that are extremely vulnerable to climate change. Additionally, it is predicted that between 2030 and 2050, this will result in an additional 250,000 fatalities annually from heat, diarrhea, malaria, and undernourishment

The UN’s World Meteorological Organization (WMO) claims that AI-driven technologies offer hitherto unheard-of capacities to process massive volumes of data, extract meaningful knowledge, and enhance forecast models.

CONCLUSION:

                             AI can promptly detect and track changes in coral reefs by using machine learning algorithms, social media, and satellite imagery. This helps to preserve the essential ecosystems and promote coral reef tourism. Generative AI may be applied in the future to fields including engineering, architecture, and medication development. By analyzing data from sensors positioned on crops, AI can also be used to enhance agriculture and lessen its negative environmental effects. The solutions provided by AI such as sustainable aviation fuel, can be used to address global issues like the climate catastrophe.