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Band 6+: the chart illustrates that cource contributions to annual average pm concentrations in tashkent

Image for topic: the chart illustrates that cource contributions to annual average pm concentrations in tashkent
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The image shows a donut chart titled 'Figure ES.1: Source contributions to annual average PM2.5 concentrations in Tashkent', detailing the following percentage breakdowns for PM2.5 sources: Boundary / Windblown Dust, 36%; Residential / Commercial Heating, 29% (the chart slice is labeled 28%); Transport, 16%; Light Industry, 7%; Heavy Industry, 6%; Urban Dust, 6%; and Waste Burning, 1%.
Given the complexity of the image, the above description may not be entirely accurate.
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The pie chart illustrates the number of sources which contributes to the concentration of annual average PM2.5 in Tashkent.

Overall, it is evident that boundary/windblown dust accounted for highest contribution to the PM2.5, while residential/ commercial heating and transport are followed that. In contrast, urban dust, waste burning, heavy industry, and light industry contributed minor proportion to the annual average of PM2.5.

To begin with, boundary/ windblown dust represented highest percentage of 36%. Following that, residential or commercial heating experienced 28% contribution for the yearly average PM2.5. Moreover, transport was the third – dominant source of PM2.5 concentration, and it contains approximately one-third of dedication.

In terms of that, both heavy industry and urban dust represented a similar segment to the PM2.5 concentration with 6%, whereas, light industry showed nearly one-tenth of constitution to the concentration of PM2.5. Finally, minor percentage was contributed to the concentration of PM2.5 by waste burning, and its proportion cannot be measured due to lowness.

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Answers On The Same Topic:

the chart illustrates that cource contributions to annual average pm concentrations in tashkent

The pie chart illustrate the proportion of source contributions to the annual PM concentrations in tashkent. Overall, it is evident that boundary and windblown dust accounted for the greatest share of the total, whereas waste burning represented only a minimal proportion. The remaining categories occupied moderate percentages, with noticeable disparities between the dominant and less […]

the chart illustrates that cource contributions to annual average pm concentrations in tashkent

The pie chart illustrates the percentage of annual contribution to average PM from different sources in Tashkent. Overall, Boundary/ Windblown dust contributes the largest proportion whereas waste burning accounts for the smallest proportion to annual average PM concentration. Wundblown dust holds the first position in contribution to annual average PM, at 36%. Relatively, Residential accounts […]

the chart illustrates that cource contributions to annual average pm concentrations in tashkent

The provided chart compares the percentages of source contributions to annual average PM 2.5 concentrations in Tashkent. Overall, boundary and windblown dust led the chart and with its the highest percentage, while waste burning remained as the least contributor. Furthermore, three of those sources – light industry, heavy industry and urban dust – showed almost […]

the chart illustrates that cource contributions to annual average pm concentrations in tashkent

The pie chart illustrates data regarding source inputs to annual moderate level of PM2.5 in capital of Uzbekistan. Overall, what can be seen from the chart that in Tashkent, the value of boundary Windblown Dust concentrations was higher, while percentage of urban dust and heavy industries was lesser than others over the given period. The […]

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