Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/184065
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dc.coverage.spatial
dc.date.accessioned2017-12-15T07:16:07Z-
dc.date.available2017-12-15T07:16:07Z-
dc.identifier.urihttp://hdl.handle.net/10603/184065-
dc.description.abstractThe main theme of the thesis is: newline Analysis of Air Pollution Parameters Using Fractal and newlineWavelet Methods . newlineWe have formulated our problem as follows: newline To analyze and recognize the pattern of the air pollutant newlineparameters at different locations in Delhi using Statistical Analysis, newlineDiscrete and Continuous Wavelet, Power Spectrum, Hurst Exponents, newlineFractal Dimension, Predictability Indices and Energy distribution newlineAnalysis . newline newlineCentral Pollution Control Board (CPCB) provided the daily averaged values of air newlinepollution parameters Carbon Monoxide (CO), Nitrogen Oxide (NO), Nitrogen Dioxide newline(NO2), Ozone (O3) and Sulphur Dioxide (SO2), for different monitoring stations Delhi newlineCollege of Engineering (DCE), ITO-Crossing (ITO), Siri Fort (SF) and Mobile Van (MV) newlinein Delhi, India for last four year from August 2006 to July 2010. The total 1461 data for newlineeach parameter at each station have been used to analyze and recognize the pattern of air newlinepollutants at different monitoring station in Delhi.
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAnalysis of Air Pollutants using Fractal and Wavelet Method
dc.title.alternative
dc.creator.researcherAshish Kumar Mittal
dc.description.note
dc.contributor.guideRashmi Bhardwaj
dc.publisher.placeDelhi
dc.publisher.universityGuru Gobind Singh Indraprastha University
dc.publisher.institutionUniversity School of Basic and Applied Sciences
dc.date.registered2008
dc.date.completed2011
dc.date.awarded26/03/2015
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:University School of Basic and Applied Sciences

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01 title certificate.pdfAttached File58.59 kBAdobe PDFView/Open
02.acknowledgement.pdf31.49 kBAdobe PDFView/Open
03 dedication.pdf11.9 kBAdobe PDFView/Open
04 contents.pdf21.05 kBAdobe PDFView/Open
05 abstract.pdf49.64 kBAdobe PDFView/Open
06 list of tables.pdf12.5 kBAdobe PDFView/Open
07 list of figures.pdf24.24 kBAdobe PDFView/Open
08 list of computational programme.pdf18.04 kBAdobe PDFView/Open
09 chapter 1.pdf256.16 kBAdobe PDFView/Open
10 chapter 2.pdf100.91 kBAdobe PDFView/Open
11 chapter 3.pdf124.51 kBAdobe PDFView/Open
12 chapter 4.pdf96.25 kBAdobe PDFView/Open
14 chapter 6.pdf97.34 kBAdobe PDFView/Open
15 chapter 7.pdf80.25 kBAdobe PDFView/Open
16 chapter 8.pdf41.51 kBAdobe PDFView/Open
17 references.pdf120.34 kBAdobe PDFView/Open
18 matlab programmes.pdf30.45 kBAdobe PDFView/Open
19 biodata.pdf31.48 kBAdobe PDFView/Open
20 figure 1.pdf94.68 kBAdobe PDFView/Open
21 figure 2.pdf251.71 kBAdobe PDFView/Open
22 figure 3.pdf77.37 kBAdobe PDFView/Open
23 figure 4-8.pdf104.65 kBAdobe PDFView/Open
24 figure 9-13.pdf596 kBAdobe PDFView/Open
25 figure 14-18.pdf409.11 kBAdobe PDFView/Open
26 figure 19-23.pdf539.75 kBAdobe PDFView/Open
27 figure 24-28.pdf722.34 kBAdobe PDFView/Open
28 figure 29-33.pdf5.23 MBAdobe PDFView/Open
29 figure 34 -43.pdf180.16 kBAdobe PDFView/Open
30 figure 44-48.pdf428.53 kBAdobe PDFView/Open
31 seperators.pdf20.31 kBAdobe PDFView/Open
32table 1.pdf13.33 kBAdobe PDFView/Open
33 table 2.pdf16.78 kBAdobe PDFView/Open
34 table 3-7.pdf44.48 kBAdobe PDFView/Open
35 table 8.pdf9.35 kBAdobe PDFView/Open
36 table 9-11.pdf17.95 kBAdobe PDFView/Open


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