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Ammonia emissions UPSC NOTE


  • Based on machine learning, researchers have come up with detailed estimates of ammonia emissions from rice, wheat and maize crops.

  • The dataset enabled a cropland-specific assessment of the potential for emission reductions.

  • Which indicates that effective management of fertilizer in the growing of these crops could lower atmospheric ammonia emissions from farming by up to 38%.

  • Atmospheric ammonia is a key environmental pollutant that affects ecosystems across the planet, as well as human health.

  • Around 51-60% of anthropogenic ammonia emissions can be traced back to crop cultivation, and about half of these emissions are associated with three main staple crops: rice, wheat and maize.

  • However, quantifying any potential reductions in ammonia emissions related to specific croplands at high resolution is challenging and depends on details such as nitrogen inputs and local emission factors.

  • Yi Zheng from the Southern University of Science and Technology, Shenzhen, China and others used machine learning to model ammonia output from rice, wheat and maize.

  • To inform the model, the researchers developed a dataset of ammonia emissions from over 2,700 observations obtained via systematic review of the published literature.

  • Using this model, the researchers estimate that global ammonia emission reached 4.3teragrams (4.3billion kilograms) in 2018.

  • The researchers found that under the fertilizer management scenario, rice crops could contribute 47% of the total reduction potential, and maize and wheat could contribute 27% and 26%, respectively.



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Learnerz IAS | Concept oriented UPSC Classes in Malayalam: Ammonia emissions UPSC NOTE
Ammonia emissions UPSC NOTE
Learnerz IAS | Concept oriented UPSC Classes in Malayalam
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