the graph shows UK acid rain emissions, from 4 different sectors between 1990 to 2007.
A glance at the graph provided reveals the information about how much of acid rain emissions were produced by four categories in the UK during a period from 1990 to 2007.
Overall, it is apparent that the total amount of acid rain gases in the UK saw a considerable fall over the period in question. In addition, the most common reason causing the production of acid rain emissions was the electricity, gas and water supply sector in 1990, which was replaced by the other industry sector in the last year.
In 1990, around 3.3 million tonnes of acid rain emissions came from the electricity, gas and water sector. The transport and communication sector was responsible for about 0.7 million tonnes of emissions, while the domestic sector saw around 0.6 million tonnes. Just over 2 million tonnes of acid rain gases came from other industries.
Emissions from electricity, gas and water supply fell dramatically to only 0.5 million tonnes in 2007, a drop of almost 3 million tonnes. While acid rain gases from the domestic sector and other industries fell gradually, the transport sector produced a small increase in emissions, reached a peak of 1 million tonnes in 2005.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2017-08-22 | Huyen Trang | 67 | view |
| 2017-08-22 | Huyen Trang | 67 | view |
| 2017-08-22 | Huyen Trang | 67 | view |
| 2017-08-22 | Huyen Trang | 67 | view |
| 2017-08-22 | Huyen Trang | 67 | view |
- the expenditure on fast food by income groups, UK 1990. 61
- write a report describing the info below The flowchart below shows the recycling process of aluminium cans 72
- Whether or not someone achieves their aims is mostly by a question of luck.To what extent do you agree or disagree? 61
- This chart shows the top eight destination for newlywed British couples in 2010. The results come from a survey of 5000 couples. 56
- the graph below shows information about consumption of spreads from 1989 to 2007. summarise information by selecting and reporting the main features and make comparisons where relevant 56
Transition Words or Phrases used:
so, while, in addition
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 7.0 71% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 5.0 6.8 74% => OK
Relative clauses : 2.0 3.15609756098 63% => OK
Pronoun: 2.0 5.60731707317 36% => OK
Preposition: 35.0 33.7804878049 104% => OK
Nominalization: 5.0 3.97073170732 126% => OK
Performance on vocabulary words:
No of characters: 976.0 965.302439024 101% => OK
No of words: 198.0 196.424390244 101% => OK
Chars per words: 4.92929292929 4.92477711251 100% => OK
Fourth root words length: 3.75116612262 3.73543355544 100% => OK
Word Length SD: 2.6779871436 2.65546596893 101% => OK
Unique words: 96.0 106.607317073 90% => More unique words wanted.
Unique words percentage: 0.484848484848 0.547539520022 89% => More unique words wanted or less content wanted.
syllable_count: 292.5 283.868780488 103% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 3.0 3.36585365854 89% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 24.0 22.4926829268 107% => OK
Sentence length SD: 40.6939798988 43.030603864 95% => OK
Chars per sentence: 122.0 112.824112599 108% => OK
Words per sentence: 24.75 22.9334400587 108% => OK
Discourse Markers: 2.75 5.23603664747 53% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 2.0 3.70975609756 54% => More positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.345714687215 0.215688989381 160% => OK
Sentence topic coherence: 0.17246134028 0.103423049105 167% => OK
Sentence topic coherence SD: 0.067820745918 0.0843802449381 80% => OK
Paragraph topic coherence: 0.230506683081 0.15604864568 148% => OK
Paragraph topic coherence SD: 0.0318634040455 0.0819641961636 39% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 14.2 13.2329268293 107% => OK
flesch_reading_ease: 55.58 61.2550243902 91% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.5 10.3012195122 112% => OK
coleman_liau_index: 11.61 11.4140731707 102% => OK
dale_chall_readability_score: 7.94 8.06136585366 98% => OK
difficult_words: 39.0 40.7170731707 96% => OK
linsear_write_formula: 13.5 11.4329268293 118% => OK
gunning_fog: 11.6 10.9970731707 105% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
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Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.