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Relationship Between Urbanization And Atmospheric Pollution In Xinjiang

Posted on:2020-09-04Degree:MasterType:Thesis
Country:ChinaCandidate:H L T B Y XiaoFull Text:PDF
GTID:2381330590454388Subject:Science
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With the continuous advancement of urbanization and rapid economic development,it has an inevitable impact on the ecological environment.In the process of urban development,the ecological environment has created environmental capacity,which has allowed him to develop in various fields.Sometimes this development mode of the city will be restricted by the environment,because the environment has been invaded to limit his development.With the development of urbanization,it is inevitable that pollutants will be emitted to the atmosphere,polluting the quality of the atmosphere.When the people realize that it is wrong,they will improve the environment through high-end indexes and large amounts of funds.At the end of 2017,Xinjiang's urbanization rate was 49.38%,which has entered the middle stage of urbanization development.It is an accelerated development stage.Therefore,Xinjiang's urbanization level will further increase in the future,and the strengthening of ecological civilization construction will be A key stage that affects the well-being of the people and the future of the nation.Today,the ecological civilization is closely watched by many people.This is not only related to the people's health level,but also may lead to the"anti-urbanization"phenomenon.The development of urbanization has played a positive role in promoting local social and economic development.At the same time,due to the blind expansion of human behavior,it is bound to bring corresponding environmental problems.I used 16 representative cities in Xinjiang to analyze the urbanization and the reality of air quality.Later,based on the research progress of the seniors,I used the urbanization index and the air quality index,and made the relationship between them two and three times.Combine and get the relationship between the two,we then analyze the relationship between the two,and get the correlation value of the two,and finally analyze the driving force correlation between the two subsystems to find the city.Major pollutants.1.Xinjiang's urban types are mainly integrated cities and industrial cities,with particulate pollutants as the primary pollutants.According to the industrial proportion,the urban function is analyzed.As a result,there are comprehensive cities and industrial cities in major cities in Xinjiang,including 1 agricultural city,7 industrial-oriented cities,and 8 comprehensive cities,accounting for 6.25%.43.75%and 50%.In 2017,the annual average concentration of atmospheric pollutants in southern Xinjiang is higher than that in northern Xinjiang,and the primary pollutants in Xinjiang are PM10,followed by PM2.5,while most cities with SO2,NO2,CO and O3 exceed the national secondary level.Annual average standard.2.Atmospheric quality has generally declined with the acceleration of urbanization.The second and third regression analysis of the comprehensive index of atmospheric quality and the comprehensive index of urbanization level showed that the quadratic fitting curves of Urumqi,Shihezi,Yili,Tacheng,Wusu,Altay,Korla,Aksu and Kash Better than the three-fitting curve effect,the three-fitting curve effect of Karamay,Turpan,Hami,Changji,Bole,Artush and Hetian is better than the quadratic curve effect.And overall,the comprehensive index of air quality is gradually decreasing as the level of urbanization rises.3.The coupling degree of cities in northern Xinjiang is higher than that in southern Xinjiang,and the coupling degree is generally on the rise.There is a positive correlation between air quality and urbanization level,and they are all in the first half of the ECK curve.Therefore,the coupling and coordination relationship between the two is studied.The results show that the coupling degree between urbanization level and air quality level in northern and southern Xinjiang shows an overall upward trend,but the coupling coordination degree between northern Xinjiang and southern Xinjiang shows a downward trend as a whole.From the perspective of spatial distribution,the coupling degree of northern Xinjiang cities is lower than that of southern Xinjiang cities.The coupling degree of cities around Urumqi is the lowest,and the coupling degree of Kashi City,Hotan City,Aksu City and Atushi City is the highest.However,the degree of coupling coordination is higher in northern Xinjiang than in southern Xinjiang,the highest in Urumqi,and the lowest in Atushi and Hetian,basically in the low coupling coordination phase and the moderate coupling coordination phase.4.The development of urbanization has a greater impact on PM100 and NO2.Correlation analysis between the scores of the urbanization criteria and the concentration of atmospheric pollutants shows that the urbanization of some industrial and comprehensive cities is highly correlated with SO2 and NO2,and the urbanization indexes of southern Xinjiang are The correlation of PM100 is relatively high.The urbanization of some cities in northern Xinjiang is highly correlated with NO2,followed by PM100 and SO2.5.The Urumqi urban agglomeration has less impact on other cities,and the southern Xinjiang city has a greater impact on other cities.Using VAR space from vector regression analysis model,the migration of major pollutants in cities in the study area was studied,and whether there was any influence between urban PM100 and the contribution rate was calculated.The results show that there are a total of 110 cities that have mutual influence,and a total of 130cities that have no impact.In terms of contribution rate,the distribution of PM100 in Korla,Hami and Aksu has the highest impact on other cities,reaching 72.98%,72.7%and 60.07%.Therefore,these cities should pay more attention to joint prevention and control;Urumqi The PM100 in Shihezi City and Kashi City has little impact on other cities,with contribution rates of 6.05%,7.14%,and7.86%,respectively.
Keywords/Search Tags:Urbanization, Air quality, mutual relationship, coupling coordination, VAR model
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