China's Hebei witnessed pollution fall of 15% from October-March

The average PM2.5 concentrations over the October-March period declined 15 percent from a year earlier to 61 micrograms per cubic metre, as per reports

The smog-prone northern province of China called Hebei has met the air quality targets by a huge margin over the winter after the efforts for tackling the emission, a local official stated on Sunday while not mentioning the factory shutdowns due to the coronavirus or COVID-19 outbreak.

The average PM2.5 concentrations throughout the October-March period declined 15 percent from a year earlier to 61 micrograms per cubic metre, on the other hand, sulphur dioxide also took a sharp fall by a third, stated He Litao, the vice-head of the provincial environmental bureau.

Hebei met the air quality targets by a huge margin

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Most experts have attributed the significant decline in air pollution throughout China in the first quarter to the coronavirus outbreak and tough containment measures, which saw cities and entire provinces locked down and sharply reduced traffic and industrial activity throughout the country. With millions staying at home, concentrations of lung-damaging PM2.5 particles fell by nearly 15 percent in more than 300 Chinese cities in the first three months of 2020.

Shanghai saw emissions fall by nearly 20% in the first quarter, while in Wuhan, where the pandemic originated, monthly averages dropped more than a third compared to last year. However, He of the Hebei environmental bureau attributed the local decline in pollution to the "conscientious implementation" of government decisions even in the face of unfavourable weather conditions.

According to a winter action plan published last year, 10 cities in Hebei were expected to cut lung-damaging small particles known as PM2.5 by 1-6 percent compared to the previous year. Despite the decline, average PM2.5 was still much higher than China's official standard of 35 micrograms, and the recommended World Health Organization level of 10 micrograms.

(With agency inputs)

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