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Pie Chart

Band 7+: 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 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 significant segments.

In greater detail, boundary and windblown dust constituted 36%, making it by far the most substantial component. This figure was considerably higher than that of residential and commercial heating, which stood at 29%. Meanwhile, transport accounted for 16%, positioning it within the mid-range of the distribution. Together, these three categories comprised 81%, indicating that a significant majority of the total was concentrated within these sectors.

By contrast, light industry represented a comparatively modest share at 7%, while hevay industry and urban dust recorded at 6% respectively. Finally, waste burning comprised just 1%, thereby exerting only a negligible influence on the overall breakdown.

Word Count: 159

Answers On The Same Topic:

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 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 […]

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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