How humidity continues to be underestimated till date


New Delhi, Aug 21 (IANS): Humidity, often neglected or underestimated, is a very serious problem yet it does not figure in climate change policies by governments, finds a study.

Researchers from the University of Tokyo have effectively integrated humidity data from hundreds of cities into Heat Stress Indicators (HSIs) for the first time, and they have evaluated how well these indicators predict deaths from heat-related causes.

Their findings, published in the journal PNAS Nexus, show that global warming was the previous term for climate change, and with good reason: Globally speaking, temperatures are rising.

Beyond air temperature, there are other factors to consider, the researchers argued.

Humidity, or the concentration of water in the air, is one such factor that is crucial in some regions of the world.

Humidity has an impact on our body's capacity to release heat through sweat, which is the result of water evaporating off our skin.

This evaporative cooling is less effective and eventually unfeasible in high humidity settings.

Qiang Guo from the varsity’s Department of Global Health Policy said that HSI and its implications may differ based on environments.

Guo and his team used climate data from 739 cities across 43 countries to create eight HSIs.

They found that the relationship between daily temperature and humidity is the key factor affecting HSI performance.

Humidity-incorporating HSIs have shown effectiveness in predicting heat-related mortality in regions like coastal areas in the US, Peru, South Korea, and Japan.

Wet bulb globe temperature could improve heat-health alert system accuracy.

However, the study primarily focussed on developed locations, leaving out developing nations experiencing extreme heat stress.

This points to the prevalent bias, especially when the dichotomy between developing countries and developed nations comes up, even when the developing nations have a lot to contribute.

  

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Title: How humidity continues to be underestimated till date



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