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Tytuł artykułu

Estimation of roughness and zero-displacement heights over Baghdad utilizing remote sensing and GIS techniques

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The objective of this study was to estimate the height of roughness element (ZH) and zero-displacement length (Zd) for Baghdad city using remote sensing and GIS techniques and resources such as DEM, DSM, and shapefile. The difference between DEM and DSM produced digital height model which represents the height of the roughness element for the region, which was used to determine the zero-displacement height. The results showed that the variations in Zd values depend strongly on ZH. Rusafa had the highest Zd (15.8 m) while Dora had the lowest values (4.7 m). Thus, Baghdad city has medium density classification according to the results of Zd and ZH values.
Rocznik
Strony
171--181
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
  • Mustansiriyah University, College of Science Atmospheric Sciences, Department
  • Mustansiriyah University, College of Science Atmospheric Sciences, Department
  • Mustansiriyah University, College of Science Atmospheric Sciences, Department
Bibliografia
  • Al-Draji, A.G. & Al-Jiboori, M.H. (2010). Aerodynamic surface roughness length of Baghdad City. Al-Nahrain Journal of Science, 13(1), 96-102.
  • Al-Jiboori, M.H. (2010). Determining of neutral and unstable wind profiles over Baghdad city. Iraqi Journal of Science, 51(2), 343-350.
  • Al-Salihi, A.M. (2018). Characterization of aerosol type based on aerosol optical properties over Baghdad, Iraq. Arabian Journal of Geosciences, 11(20), 633. https://www.doi.org/10.1007/s12517-018-3944-1
  • Bradford, G.R. (2015). Investigations of surface roughness length modification in Black Rock City, NV (doctoral dissertation). San Francisco: San Francisco State University.
  • Chen, Y.C., Fröhlich, D., Matzarakis, A. & Lin, T.P. (2017). Urban roughness estimation based on digital building models for urban wind and thermal condition estimation – Application of the SkyHelios Model. Atmosphere, 8(12), 247. https://www.doi.org/10.3390/atmos8120247
  • Desbarats, A., Logan, C., Hinton, M. & Sharpe, D. (2002). On the kriging of water table elevations using collateral information from a digital elevation model. Journal of Hydrology, 255(1-4), 25-38.
  • Dutra, L., Dossantos, J., Frietas, C., Mura, J., Neeff, T., Elmiro, M. & Moura, P. (2006). Digital Height Modeling (DHM) of tropical forests using multi-frequency InSAR methodology. In 2006 IEEE International Symposium on Geoscience and Remote Sensing: Denver, CO, 31 July - 4 August 2006 (pp. 2190-2192). Piscataway Township, NJ: IEEE.
  • Grimmond, C. & Oke, T.R. (1999). Aerodynamic properties of urban areas derived from analysis of surface form. Journal of Applied Meteorology, 38(9), 1262-1292.
  • Grimmond, C., King, I.S., Roth, M. & Oke, T.R. (1998). Aerodynamic roughness of urban areas derived from wind observations. Boundary-Layer Meteorology, 89(1), 1-24.
  • Guo, H., Alessandro, A. & Goodchild, M.F. (eds.) (2020). Manual of Digital Earth. Berlin: Springer.
  • Haraj, S.A. & Al-Jiboori, M.H. (2019). Study of aerodynamic surface roughness for Baghdad City using signal-level measurements. Baghdad Science Journal, 16(1 Supplement), 215-220.
  • Hashim, M.B. & Sultan, A.M. (2010). Using remote sensing data and GIS to evaluate air pollution and their relationship with land cover and land use in Baghdad City. Iranian Journal of Earth Sciences, 2(1), 20-24.
  • Hicks, B., Hyson, P. & Moore, C. (1975). A study of eddy fluxes over a forest. Journal of Applied Meteorology, 14(1), 58-66.
  • Jhaldiyal, A. (2015). Automatic Estimation of Urban Roughness Parameters for Microclimatic Analysis (unpublished master’s thesis). Andhra University, Visakhapatnam.
  • Kent, C.W., Grimmond, S. & Gatey, D. (2017). Aerodynamic roughness parameters in cities: Inclusion of vegetation. Journal of Wind Engineering and Industrial Aerodynamics, 169, 168-176.
  • Kent, C.W., Grimmond, S., Gatey, D. & Hirano, K. (2019). Urban morphology parameters from global digital elevation models: implications for aerodynamic roughness for wind speed estimation. Remote Sensing of Environment, 221, 316-339.
  • Petersen, R. & Parce, D. (1994). Development and testing of methods for estimating surface roughness length at refineries (CPP Project, 92-0890). Ft. Collins: CPP.
  • Saleh, S.A. (2011). Air quality over Baghdad City using earth observation and Landsat thermal data. Journal of Asian Scientific Research, 1(6), 291-298.
  • Zhou, Q. (2016). Digital elevation model and digital surface model. In International Encyclopedia of Geography: People, the Earth, Environment and Technology: People, the Earth, Environment and Technology (pp. 1-17). Hoboken, NJ: John Wiley & Sons.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7accb792-357b-4690-b742-91223da4f289
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