Dissertation > Excellent graduate degree dissertation topics show

Study of Distribution Characteristics of the Particulate Matter in Ambient Air in Optical Valley Local Area, Wuhan

Author: ZengFan
Tutor: HuHui；LiangShengWen
School: Huazhong University of Science and Technology
Course: Environmental Engineering
Keywords: particulate matter meteorological factor traffic flow composition analysis
CLC: X831
Type: Master's thesis
Year: 2011
Downloads: 98
Quote: 1
Read: Download Dissertation

Abstract


Air pollution has become one of the important factors that affect the human health and contain the development of the city. With the acceleration of urbanization, the urban-air pollution has entered into the combined pollution era and thus caused a series of pollutions. For building the resource-saving and environment-friendly society and the National Model City for Environmental Protection, in order to solve the growing public concern for urban air quality problems, it is important to have a clear understanding of he primary pollutants in urban air pollution and also its sources.So,this experiment mainly studies the distribution characteristics of the atmospheric particulate matter pollution in Wuhan Optical Valley. The research discovered:1. Studying the inhalable particle （PM10） concentrations in Wuhan Optical Valley from December 2008 to December 2010, found that the success rate that reaches the concentration limits for the national secondary standard was 44%. The Area’s environmental air quality in summer and autumn was better in winter and spring.2. The monthly change of the particle concentration has the similar trend in 2009 and 2010, that all appear first decreased and then increased as the change of time, and also the minimum peak value both appeared in July, while the highest peak appeared in October and November. The highest monthly concentration of PM10 was 0.189 mg/m3 which appeared in November 2010, while the lowest value was 0.058 mg/m3 in July 2009.3. Experiments also compared the situation changes in the concentration of particles during the two obvious pollution monitoring period phenomenon that the gray-haze weather and the dust-sandstorm weather, the results showed that the two kinds of pollution phenomenon has apparent obviously different. Researched the relationships between the concentrations of PM10 and PM2.5 during the non-haze and haze, the fine particles （PM2.5） have a large contribution to the haze phenomenon.4. Discussed meteorological factors that could impact the particle concentrations’change, such as the temperature, precipitation, atmospheric pressure, etc meteorological factors and the traffic flow, the relationship between the temperature and particle concentration was negatively, while the relationship between traffic flow and particle concentration was positively, the rainfall’s size and length except the different size of particulate with different results.5. Analyzed the particulates’components with XRF, STEM, IC, the results show that Si, Ca, Al, S, Ti, K, Fe, Zn are the main elements of particulate matter, and could infer mainly aluminosilicates, sulfuric acid salt, carbonate, carbon black, etc. in the particulate matter. The ratio of the S2-, NO3-, SO42- in the samples that collected in the Optical Valley Plaza is 55.41%, 20.29%, 10.16%, while in campus libraries the percentage is 44.99%, 14.41%, 30.12% respectively.

Related Dissertations

  1. Wind turbulence characteristics of the bulk particulate matter pollution impact study wind erosion,X513
  2. Pollution Characteristics of PAHs in PM10, Huainan City,X513
  3. The Quality of Tea Beverage and Biochemical Composition and Additive Analysis,S571.1
  4. Huzhou Traffic Management System Design and Implementation,U495
  5. Algorithm for the Traffic Flow Prediction Based on Improved Non-Parametric Regression Method,F570
  6. Research on Frame Traffic Control, Prediction and Energy Efficiency in Wireless Local Area Networks,TN925.93
  7. Heterogeneity Design in the Air Quality Monitoring System and PM10 Grey Prediction,X851
  8. Urban traffic animation,TP391.41
  9. Color Composition of Miao Decorative Pattern Analysis and Application,J522
  10. Characteristics of PM2.5 and Heavy Metal Pollution in the Southern Suburbs of Xi’an,X513
  11. Application & Research on Traffic Flow Predication Based on LSSVM,TP181
  12. Study on Chemical Characteristics of Particulate Matter of Urumqi City,X513
  13. Jordan neural network - based urban road traffic state,U491
  14. Analysis on the Main Pollutions in Cooking Oil Fumes and Effects of Fine Particulate Matter on the Expression of Interleukin 10 in Human Lung Cancer Cell Line A549,R734.2
  15. Research on the Game Theory of Congestion Pricing,U491
  16. Study on the Single Point Self-adaptive Control Strategy Based on Vehicle-following Theory,U491.112
  17. The Design Research of Traffic Information Acquisition System of the Outer Ring Highway in Shanghai Pudong New Area,U495
  18. Study on Environmental Behavior and Prediction Methods of PCBs,X502
  19. The Optimal Composition Analysis of Chinese International Reserves,F832.6
  20. Research on Intelligent Terminal Location Based Intelligent Transportation,TN929.5
  21. Quzhou Highway Traffic Monitoring and Management System Design and Implementation,TP311.52

CLC: > Environmental science, safety science > Environmental Quality Assessment and Environmental Monitoring > Environmental monitoring > Atmospheric monitoring
© 2012 www.DissertationTopic.Net  Mobile