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1、精選優(yōu)質(zhì)文檔-傾情為你奉上二.雅思圖表作文1.企業(yè)垃圾 (線性圖) 題目:The graph below shows the amounts of waste produced by three companies over a period of 15 years. 范文:The line graph compares three companies in terms of their waste output between the years 2000 and 2015. It is clear that there were significant changes in the amo
2、unts of waste produced by all three companies shown on the graph. While companies A and B saw waste output fall over the 15-year period, the amount of waste produced by company C increased considerably. In 2000, company A produced 12 tonnes of waste, while companies B and C produced around 8 tonnes
3、and 4 tonnes of waste material respectively. Over the following 5 years, the waste output of companies B and C rose by around 2 tonnes, but the figure for company A fell by approximately 1 tonne. From 2005 to 2015, company A cut waste production by roughly 3 tonnes, and company B reduced its waste b
4、y around 7 tonnes. By , company C saw an increase in waste production of approximately 4 tonnes over the same 10-year period. By 2015, company Cs waste output had risen to 10 tonnes, while the respective amounts of waste from companies A and B had dropped to 8 tonnes and only 3 tonnes.(192 words, ba
5、nd 9) 這條線圖對三家公司的廢物產(chǎn)出從2000年到2015年進(jìn)行了比較。很明顯,圖表上顯示的這三家公司生產(chǎn)的垃圾量發(fā)生了重大變化。雖然A公司和B公司在15年的時(shí)間里看到了廢物的產(chǎn)量下降,但C公司生產(chǎn)的廢物量卻大幅增加。 2000年,A公司生產(chǎn)了12噸廢物,而B公司和C公司分別生產(chǎn)了大約8噸和4噸廢料。在接下來的5年里,公司B和C的廢料產(chǎn)量增加了大約2噸,但是公司A的產(chǎn)量下降了大約1噸。 從2005年到2015年,公司將廢物產(chǎn)量減少了大約3噸,公司B減少了大約7噸的垃圾。相比之下,C公司在同樣的10年時(shí)間里,廢物產(chǎn)量增加了大約4噸。到2015年,C公司的廢物產(chǎn)量已升至10噸,而A和B公司的垃
6、圾量已降至8噸,僅為3噸。 2.游客分析 (餅圖) 題目:The chart below shows the results of a survey of people who visited four types of tourist attraction in Britain in the year 1999. 范文:The pie chart compares figures for visitors to four categories of tourist attraction and to five different theme parks in Britain in 1999.
7、 It is clear that theme parks and museums / galleries were the two most popular types of tourist attraction in that year. Blackpool Pleasure Beach received by far the highest proportion of visitors in the theme park sector. Looking at the in more detail, we can see that 38% of the surveyed visitors
8、went to a theme park, and 37% of them went to a museum or gallery. By contrast, historic houses and monuments were visited by only 16% of the sample, while wildlife parks and zoos were the least popular of the four types of tourist attraction, with only 9% of visitors. In the theme park sector, almo
9、st half of the people surveyed (47%) had been to Blackpool Pleasure Beach. Alton Towers was the second most popular amusement park, with 17% of the sample, followed by Pleasureland in Southport, with 16%. Finally, Chessington World of Adventures and Legoland Windsor had each welcomed 10% of the surv
10、eyed visitors.(181 words, band 9) 這個(gè)餅狀圖比較了1999年英國的四類旅游景點(diǎn)和5個(gè)不同主題公園的游客人數(shù)。很明顯,主題公園和博物館/畫廊是那一年最受歡迎的兩種旅游景點(diǎn)。在主題公園中,黑潭快樂海灘獲得的游客比例是最高的。 更詳細(xì)地看這些信息,我們可以看到,38%的受訪游客去了一個(gè)主題公園,其中37%的人去了博物館或美術(shù)館。相比之下,只有16%的樣本參觀了歷史建筑和紀(jì)念碑,而野生動物公園和動物園則是這四種旅游景點(diǎn)中最不受歡迎的,只有9%的游客。在主題公園領(lǐng)域,幾乎一半的被調(diào)查者(47%)曾經(jīng)到過布萊克浦的快樂海灘。奧爾頓塔是第二大最受歡迎的游樂園,有17%的樣本
11、,其次是在索斯波特的娛樂公園,占16%。最后,查辛頓冒險(xiǎn)世界和樂高和溫莎的游客都?xì)g迎10%的游客。3. 各地房價(jià)(餅圖) 題目:The chart below shows information about changes in average house prices in five different cities between 1990 and 2002 compared with the average house prices in 1989. 范文:he bar chart compares the cost of an average house in five major c
12、ities over a period of 13 years from 1989. We can see that house prices fell overall between 1990 and 1995, but most of the cities saw rising prices between 1996 and 2002. London experienced by far the greatest changes in house prices over the 13-year period. Over the 5 years after 1989, the cost of
13、 average homes in Tokyo and London dropped by around 7%, while New York house prices went down by 5%. By contrast, prices rose by approximately 2% in both Madrid and Frankfurt. Between 1996 and 2002, London house prices jumped to around 12% above the 1989 average. Homebuyers in New York also had to
14、pay significantly more, with prices rising to 5% above the 1989 average, but homes in Tokyo remained cheaper than they were in 1989. The cost of an average home in Madrid rose by a 2%, while prices in Frankfurt remained stable.(165 words) 柱狀圖比較了從1989年開始的13年里,五個(gè)主要城市的平均房價(jià)。我們可以看到,在1990年至1995年期間,房價(jià)總體下跌,
15、但大多數(shù)城市在1996年至2002年期間房價(jià)上漲。在過去的13年里,倫敦經(jīng)歷了房價(jià)的最大變化。柱狀圖比較了從1989年開始的13年里,五個(gè)主要城市的平均房價(jià)。在1989年之后的5年里,東京和倫敦的平均房價(jià)下跌了7%,而紐約房價(jià)下跌了5個(gè)百分點(diǎn)。相比之下,馬德里和法蘭克福的房價(jià)都上漲了大約2個(gè)百分點(diǎn)。 從1996年到2002年,倫敦房價(jià)跳漲到比1989年平均水平高出12個(gè)百分點(diǎn)。紐約的購房者也不得不支付更高的價(jià)格,房價(jià)比1989年的平均水平高出5%,但東京的房價(jià)仍然低于1989年的水平。在馬德里,平均房價(jià)上漲了2%,而法蘭克福的房價(jià)則保持穩(wěn)定。 4.騎車上班(表格) 題目:The table b
16、elow shows changes in the numbers of residents cycling to work in different areas of the UK between 2001 and 2011. 范文:The table compares the numbers of people who cycled to work in twelve areas of the UK in the years 2001 and 2011. Overall, the number of UK commuters who travelled to work by bicycle
17、 rose considerably over the 10-year period. Inner London had by far the highest number of cycling commuters in both years. In 2001, well over 43 thousand residents of inner London commuted by bicycle, and this figure rose to more than 106 thousand in 2011, an increase of 144%. By contrast, although
18、outer London had the second highest number of cycling commuters in each year, the percentage change, at only 45%, was the lowest of the twelve areas shown in the table. Brighton and Hove saw the second biggest increase (109%) in the number of residents cycling to work, but Bristol was the UKs second
19、 city in terms of total numbers of cycling commuters, with 8,108 in 2001 and 15,768 in 2011. Figures for the other eight areas were below the 10 thousand mark in both years.(172 words, band 9) 這張表格比較了2001年和2011年在英國12個(gè)地區(qū)騎車上班的人的數(shù)量。 總的來說,在過去的10年里,騎自行車上班的英國上班族的數(shù)量大幅增加。在這兩年中,倫敦市中心的自行車上班族數(shù)量是最多的。 2001年,倫敦市中
20、心有超過43萬居民騎自行車上下班,2011年這個(gè)數(shù)字上升到超過106萬,增長了144%。相比之下,盡管倫敦的自行車上班族每年的出行次數(shù)是第二高的,但這個(gè)百分比的變化,只有45%,是表中所顯示的12個(gè)區(qū)域中最低的。 布萊頓和霍夫在騎車上班的人數(shù)中排名第二(109%),但在自行車上班族的總數(shù)中,爾是英國的第二大城市,2001年為8108人,2011年為15768人。其他8個(gè)地區(qū)的數(shù)據(jù)在這兩年內(nèi)都低于1萬。 5.水消耗(混合圖) 題目:The graph and table below give information about water use worldwide and water cons
21、umption in two different countries. 范文:The charts compare the amount of water used for agriculture, industry and homes around the world, and water use in Brazil and the Democratic Republic of Congo. It is clear that global water needs rose significantly between 1900 and 2000, and that agriculture ac
22、counted for the largest proportion of water used. We can also see that water consumption was considerably higher in Brazil than in the Congo. In 1900, around 500km³ of water was used by the agriculture sector worldwide. The figures for industrial and domestic water consumption stood at around o
23、ne fifth of that amount. By 2000, global water use for agriculture had increased to around 3000km³, industrial water use had risen to just under half that amount, and domestic consumption had reached approximately 500km³. In the year 2000, the populations of Brazil and the Congo were 176 m
24、illion and 5.2 million respectively. Water consumption per person in Brazil, at 359m³, was much higher than that in the Congo, at only 8m³, and this could be explained by the fact that Brazil had 265 times more irrigated land.(184 words, band 9) 這些圖表比較了世界各地的農(nóng)業(yè)、工業(yè)和家庭用水的數(shù)量,以及巴西和剛果民主共和國的用水情況。
25、 顯然,在1900年至2000年期間,全球的水需求顯著增加,農(nóng)業(yè)用水占用水的比例最大。我們還可以看到,巴西的用水量比剛果要高得多。 1900年,全世界的農(nóng)業(yè)部門使用了大約500公里的水。工業(yè)和家庭用水的數(shù)字大約是這一數(shù)字的五分之一。到2000年,全球用于農(nóng)業(yè)的用水量增加到約3000公里,工業(yè)用水已增加到不足一半,國內(nèi)消費(fèi)已達(dá)到約500公里。 在2000年,巴西和剛果的人口分別為1.76億和520萬。巴西人均用水量為3.59億,比剛果的人均用水量要高得多,僅為800萬,這可以解釋為巴西的灌溉面積是265倍。 6.教育水平(餅圖) 題目:The charts below give informat
26、ion about levels of education in Glasgow, a city in Scotland, in 2010.The bar chart and pie charts illustrate the percentage of people in Glasgow having three levels of education (university, school and those with no qualifications) in 2010. Information is divided into five age groups in the bar chart and by gender in the pie charts.Overall, the majority of people with university education were in the younger age groups, while in the oldest age group most people did not have any qualifications. The proportions of men and women were similar and showed little difference between the levels of e
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