The charts illustrate the number of people affected by four types of noise pollution day and night in cities and rural areas in 2007. Summarize and make comparison where relevant.
The bar graph shows
due to
noise
pollution
such
as traffic, trains, aircraft and industrial areas
a large number of people
were affected in the metro cities
as well as
in rural areas
in the year 2007.
We can observe that more people
in the cities
were affected by noise
pollution
than those residing in the countryside in 2007. The main source of noise
pollution
was Traffic. Specifically, the noise
from traffic in the towns impacted 64 million
and 48 million
people
day and night. On the other hand
, in the village, 34 million
and 24 million
people
were affected, which was half of that in the cities
.
During the day, the noise
from the trains affected 10 million
suburban residents and 8 million
people
in the countryside, which was moderately higher than the number of affected people
at night in both areas
, with 8 million
and 6 million
respectively.
The remaining noise
pollution
sources, aircraft and industries, affected the urban and rural residents less significantly. In the daytime, noise
from aircraft affected 4 million
urban people
, twice the figure for rural residents. At night, the value was the same in the cities
as well as
in the rural areas
.
Meanwhile, no one was affected by the industrial noise
in the countryside. However
, 1 million
and 0.25 million
citizens in the urban area were impacted by the industrial noise
during the daytime and nighttime.Submitted by pr6272189 on
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Linking words: Don't use the same linking words: "as well as".
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Basic structure: Change the second paragraph.
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Basic structure: Change the fifth paragraph.
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Vocabulary: Replace the words noise, pollution, areas, people, cities, million with synonyms.
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Vocabulary: Rephrase the word "number of" in your introduction.
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Vocabulary: Only 6 basic words for charts were used.
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Vocabulary: The word "number of" was used 2 times.
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Vocabulary: Use several vocabularies to present the data in the second paragraph.
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Vocabulary: Use several vocabularies to present the data in the fifth paragraph.
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