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Can Artificial Intelligence Help to Control Climate Change?


Climate transformation or change is an ongoing and formidable challenge for the world. However, it poses a greater challenge to normalize climate transformation. Climate transformation is a matter of emergency that needs the attention of the world. Otherwise, it can prove to be more fatal than COVID-19, a global pandemic. The world needs to leave no stone unturned to control climate change. It is high time to adopt a global holistic approach to find every possible solution including the use of artificial intelligence (AI) to control climate change.AI can assist to control climate change more quickly and effectively. In addition, AI can perform more precisely and accurately in controlling climate change. Let’s explore how AI can help to control climate change.

How AI Helps to Control Climate Change:

AI Can Provide More Accurate Predictions About Climate Change:

AI can be deployed in climate simulations to get more accurate predictions about climate change. The big and complex models of climate change can be executed in a very short time to fetch to make a prediction. AI has no problem in handling big data. It can easily break down complex models to generate results. Several different tools can be amalgamated with the help of AI to increase the accuracy of prediction. It can also combine the predictions of different climate models to predict more accurately. For instance, satellites image and machine learning can be used together to spot methane leaks. Based on these predictions, different climate policies can be adopted to control climate change. Therefore, AI can help in the process of climate policy formulation.

AI Can Show and Determine The Drastic Effects Of Extreme Weather:

Some people are already experiencing the impacts of climate change. There is an unpredicted pattern of the weather. Droughts, floods and storms are hitting around the world.AI can simulate what will be the impact of extreme weather. It can simulate the optics of homes destroyed by extreme weather. This can provide a more realistic insight to the people. Furthermore, it can determine the extent of damages that can be caused by Climate change. Therefore, AI is playing a crucial role in educating people about the impacts of climate change. It will help in taking more pragmatic actions to control climate change.

AI Can Help in Creating New Low Carbon Material:

One of the biggest reasons for climate change is carbon emission. It has a severe impact on the environment. In addition, it plays a leading role in degrading the environment. According to an estimate, 9 per cent of greenhouse gases (GHG) comes from the production of steel and cement. AI can help in creating similar materials that will have similar properties but a low level of carbon emission. AI can assist and support the engineers to make new material as it can handle several different simulations at a single time.AI can help in testing different combinations of chemical compounds in a short time. Therefore, a new material with a low carbon emission level can help to control climate change.

AI Can Develop Tools to Monitor Carbon Footprint:

AI can help in making tools to analyse and track the carbon footprint. These tools can be utilized by individuals and companies to track their carbon footprint. So they can take appropriate action to minimize it. For instance, coal plants can monitor their carbon emission with the help of satellite images. Furthermore, AI can trace and track sources of pollution in the environment. The constant monitoring of carbon footprint can help the policymakers to take necessary actions. Moreover, based on data, it is easy to convince the stakeholders of pow plants to reset their strategies to reduce carbon emission.

AI Can Revolutionize the Transportation System:

According to a dissertation writing firm, the transportation sector contributes a quarter of global carbon emissions. AI has produced several vehicles which have a very low carbon footprint. Some of them are having zero carbon level emissions. For instance, an electric car is one of the glaring examples of the role of AI in controlling climate change. AI is helping to make a smart transportation system that will reduce carbon emissions in the environment. Furthermore, Ai can help in finding ways to optimize routes for freights. It can help to find ways to minimise the number of trips by dispatching shipments together as many as possible.

AI Can Develop Clean Energy:

AI can help in developing a model to find sites for dams that will have the lowest greenhouse gases emissions. This machine learning model can include the perspective of ecologists, researchers and scientists. AI can produce unprecedented and unmatchable findings with the help of simulations. Thus, clean energy can lower the level of GHG emissions to control climate change.

AI Can Help in Improving the Efficiency of Energy:

It is important to have data on energy consumption and GHG emissions to design and implement policies regarding climate. AI can help in collecting the data with the help of satellites images. This data feeds the algorithm of machine learning that estimates the energy consumption of a specific area. These estimates can help in improving the efficiency of energy. AI can help suppliers by forecasting energy generations and demand. Therefore, AI can help in maintaining the balance between generation and demand. Furthermore, Ai can suggest renewable resources to fill in gaps.

Conclusion:

In a nutshell, the world must incorporate AI to control climate change. It can expedite the process to control climate change.AI is a game-changer to control climate change.AI can accelerate the process of controlling climate change by accelerating scientific discovery.

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