In recent years, wind energy as a source of renewable and clear energy has become increasingly popular. Unfortunately, wind energy has one significant environmental drawback: fast-moving turbine blades .pose serious threats to birds flying through wind farms. Various strategies are now being considered to make wind farm turbines safer for birds.
Radar
One method involves installing radar devices in wind turbines. The purpose of the radar devices is to scan the landscape and detect when groups of birds are approaching the wind farm. Once the devices identify the birds on the horizon, they capture images of the landscape and notify wind farm operators. After examining the radar images, the wind farm operators can temporarily shut down the wind turbines to allow the birds to fly safely through the wind farm.
Purple paint
Another option is to paint wind turbines purple. The conventional colors of wind turbines are white and gray. These colors are usually used so that the turbines blend into the background. However, these colors also attract insects. A high concentration of insects, in turn, draws in birds that prey on the insects. Scientists have recently reported that purple is the least attractive color for the insects Therefore. if wind turbines are painted purple, they will attract fewer insects, and fewer birds will come close to the turbine blades
Sound alarm
A third way is concerned with using a sound alarm system to warn birds of wind turbines in front of them. While flying, most birds look to the side and down, as their eyes are located on the sides of their heads and their bodies are in a horizontal position. The sound projected by the wind farm would alert birds. and it is believed that it would make them look ahead and fly slower or stop flying completely. The sound alarm systems would likely save birds from the danger posed by wind turbines.
The passage discusses the popularity of turbines as a source of renewable source of energy but they pose a serious threat to birds, and then puts forward several solutions to address them. However, the speaker casts doubt on all of them by presenting some rational counterarguments.
First and foremost, The article asserts that putting in place some radars capable of detecting birds that turn off turbines will save birds. On the other hand, the professor pointed out that the process of turning off a turbine takes 45 minutes, thereafter birds will hit turbines before a complete shutdown. Moreover, these radars are not able to detect single birds at all. Therefore, they are not reliable.
Secondly, The writer contends that scientists have proved the common colors of turbines, gray and white, attract insects that catch the birds' attention; so that, painting them in purple will be effective because it does not attract insects. The speaker, conversely, states that both heat and ultraviolet factors in for attracting insects. As a result, solely will changing the color not keep away birds.
Last but not least, The author claims that birds while flying look at their sides, so if we produce sound to force them to look forward, they will change their direction to avoid hitting turbines. On the contrary, the lecture clears out that due to the noises of vehicles that interfere, a strong and unique voice is needed, and indeed it will disrupt the neighboring areas. As such, this solution is not practical.
Grammar and spelling errors:
Line 3, column 137, Rule ID: POSSESIVE_APOSTROPHE[2]
Message: Possible typo: apostrophe is missing. Did you mean 'birds'' or 'bird's'?
Suggestion: birds'; bird's
...d white, attract insects that catch the birds attention; so that, painting them in pu...
^^^^^
Line 3, column 364, Rule ID: DID_BASEFORM[1]
Message: The verb 'will' requires the base form of the verb: 'change'
Suggestion: change
...cting insects. As a result, solely will changing the color not keep away birds. Last bu...
^^^^^^^^
Transition Words or Phrases used:
but, conversely, first, however, if, look, moreover, second, secondly, so, then, therefore, while, as a result, on the contrary, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 10.4613686534 48% => More to be verbs wanted.
Auxiliary verbs: 6.0 5.04856512141 119% => OK
Conjunction : 8.0 7.30242825607 110% => OK
Relative clauses : 10.0 12.0772626932 83% => OK
Pronoun: 24.0 22.412803532 107% => OK
Preposition: 29.0 30.3222958057 96% => OK
Nominalization: 3.0 5.01324503311 60% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1270.0 1373.03311258 92% => OK
No of words: 251.0 270.72406181 93% => More content wanted.
Chars per words: 5.05976095618 5.08290768461 100% => OK
Fourth root words length: 3.98032404683 4.04702891845 98% => OK
Word Length SD: 2.54583855492 2.5805825403 99% => OK
Unique words: 162.0 145.348785872 111% => OK
Unique words percentage: 0.645418326693 0.540411800872 119% => OK
syllable_count: 375.3 419.366225166 89% => OK
avg_syllables_per_word: 1.5 1.55342163355 97% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 3.25607064018 123% => OK
Article: 9.0 8.23620309051 109% => OK
Subordination: 3.0 1.25165562914 240% => Less adverbial clause wanted.
Conjunction: 2.0 1.51434878587 132% => OK
Preposition: 2.0 2.5761589404 78% => OK
Performance on sentences:
How many sentences: 12.0 13.0662251656 92% => OK
Sentence length: 20.0 21.2450331126 94% => OK
Sentence length SD: 65.5914861514 49.2860985944 133% => OK
Chars per sentence: 105.833333333 110.228320801 96% => OK
Words per sentence: 20.9166666667 21.698381199 96% => OK
Discourse Markers: 12.1666666667 7.06452816374 172% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 2.0 4.19205298013 48% => OK
Sentences with positive sentiment : 6.0 4.33554083885 138% => OK
Sentences with negative sentiment : 3.0 4.45695364238 67% => OK
Sentences with neutral sentiment: 3.0 4.27373068433 70% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.111076911138 0.272083759551 41% => OK
Sentence topic coherence: 0.0347547457636 0.0996497079465 35% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0625660703958 0.0662205650399 94% => OK
Paragraph topic coherence: 0.070470304281 0.162205337803 43% => OK
Paragraph topic coherence SD: 0.0647701525131 0.0443174109184 146% => OK
Essay readability:
automated_readability_index: 12.9 13.3589403974 97% => OK
flesch_reading_ease: 59.64 53.8541721854 111% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 9.9 11.0289183223 90% => OK
coleman_liau_index: 12.07 12.2367328918 99% => OK
dale_chall_readability_score: 9.16 8.42419426049 109% => OK
difficult_words: 72.0 63.6247240618 113% => OK
linsear_write_formula: 10.5 10.7273730684 98% => OK
gunning_fog: 10.0 10.498013245 95% => OK
text_standard: 10.0 11.2008830022 89% => OK
What are above readability scores?
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Rates: 90.0 out of 100
Scores by essay e-grader: 27.0 Out of 30
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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.