Air pollution is the contamination of atmospheric air by chemical, physical, or natural agents, making it unsuitable and harmful for breathing. Primary pollutants like carbon, nitrogen, and sulfur oxides, aerosols, and fine particulates have serious effects on both the environment and human health.Read more
Air pollution is the contamination of atmospheric air by chemical, physical, or natural agents, making it unsuitable and harmful for breathing. Primary pollutants like carbon, nitrogen, and sulfur oxides, aerosols, and fine particulates have serious effects on both the environment and human health.
Observed Climate Changes:
- Global Warming by gases like CFCs and Methane.
- High global temperature causing rise in sea levels and coastal flooding by rapid melting of polar ice caps.
- Severe droughts and torrential rains.
Impact on Human Health:
Exposure to –
- UV radiation (due to the depletion of the ozone layer) weakens the immune system, causes sunburn and even cancer.
- Air pollutants can cause chronic diseases like lung cancer and asthma.
- Air containing even 0.001% of carbon monoxide can cause drowsiness, collapse, coma, or even death.
- Volatile Compounds like Benzene can cause mutations in foetus and other reproductive problems.
Impact on Environment:
Gaseous air pollutants can cause damage to –
- Leaves of crop plants and flower buds (by acid rain).
- Nutrient content and growth potential of plants.
- Phytoplankton and zooplankton (by UV radiation).
The Indian Government, observing the alarming effects of air pollution, has implemented certain measures such as the Air Prevention and Control of Pollution Act and Central Motor Act to mitigate the effects of air pollution. However, more such preventive measures are needed to address the emerging concerns.
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AI is being applied to climate change modeling and prediction by improving data analysis, identifying patterns, and increasing the accuracy of climate forecasts. Machine learning algorithms can process vast amounts of climate data more efficiently than traditional methods, leading to better understaRead more
AI is being applied to climate change modeling and prediction by improving data analysis, identifying patterns, and increasing the accuracy of climate forecasts. Machine learning algorithms can process vast amounts of climate data more efficiently than traditional methods, leading to better understanding of climate trends and extreme weather events. Talking about the impact AI can have on conservation and policies includes allowing policymakers to make informed decisions (as it provides almost accurate predictions) and take proactive measures with the help of AI powered warning systems to mitigate extreme weather risks. Along with this, some negative aspects includes over reliance on the technology that downplays the human expertise and there’s a potential risk of AI being used for unsustainable practices too. Hence we can conclude that along with enhancing climate change modelling it has some negative aspects too.
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