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

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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 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 same figures.

To begin with, boundary and windblown dust was the dominant source among others, making up about 36%, while its counterpart, residential heating, ranked the second place, as it made up around 29%. This figure decreased by 10%, when it comes to transport, contributing about 16% which was twenty percent lower than the dominant one.

By contrast, other sources, such as heavy and light industry, urban dusting, remained as the lower contributors, compared to former ones, as they showed about 6%, 7% and 6%, which differed by mere 1% respectively. At the bottom, waste burning showed the lowest percentage, made up about 1%.

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Overall Band Score

6.5

(+/- 0.5)

Vocabulary Complexity:
C1 - Intricate
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Grammar Mistakes: N/A

Vocabulary Repetition:

about: 4

industry: 3

showed: 3

Try using synonyms for the above words

Task Response

The report effectively summarizes the information presented in the chart, highlighting key trends and providing relevant data. The organization is logical, and the language is generally clear and accurate. To further enhance the response, ensure that all data points are completely accurate and that there is no rounding error. Also, consider using a wider range of vocabulary to describe the data and relationships between different categories.

Coherence & Cohesion

The report presents a generally clear overview of the data, but the organization could be improved for better flow. The use of cohesive devices is present but could be more sophisticated to enhance the connection between ideas. Consider using a wider range of transition words and phrases to guide the reader more effectively. For example, in the second paragraph, the transition to discussing 'other sources' could be smoother. Also, ensure that each paragraph focuses on a distinct aspect of the data to improve coherence.

Lexical Resource

The vocabulary used is adequate for describing the data, but there's room for improvement in terms of variety and precision. Try to incorporate more specific and descriptive language to convey the information more accurately. For instance, instead of repeatedly using 'making up about,' consider alternative phrases like 'constituting,' 'accounting for,' or 'representing.' Also, explore synonyms for common words like 'percentage' and 'contributor' to enrich your writing.

Grammatical Range & Accuracy

The report demonstrates a fair command of grammar, but there are noticeable errors that affect clarity. Pay close attention to subject-verb agreement, article usage (e.g., 'the chart'), and correct tense usage. Sentence structure is generally simple, and expanding the range of sentence types could enhance the sophistication of your writing. Review and correct grammatical errors to improve the overall accuracy of the report.

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