Spatial Model of Sky Brightness Magnitude in KUSZA Observatory, UniSZA

  • Authors

    • Roslan Umar
    • Wardatul Jannah Awang
    • Siti Nadhirah Berzanji
    • Nur Farhana Abd Majed
    • Mohd Khairul Amri Kamarudin
    • Musa Garba Abdullahi
    2018-04-06
    https://doi.org/10.14419/ijet.v7i2.15.11189
  • Light Pollution, Simulation, Sky Brightness, SQM, GIS

  • Light pollution is the by-product of anthropogenic activities result from the increases in advanced economic and urbanization. Light pollution limits the ability to view the night sky by astronomers, on biodiversity, and ecosystems. This technology nowadays has led us to increase the convenient method to observe the brightness of night sky to determine how much the night sky polluted by artificial light. The study used SQM device and monitored the sky brightness of the KUSZA Observatory in Merang, Setiu, Terengganu, Malaysia. The results obtained were used to compare with the results obtained by simulation data generated from Earth Observation Group (EOG) of National Oceanic and Atmospheric Administration (NOAA), National Geophysical Data Center. It is the first world atlas of the artificial night sky brightness using GIS Interpolation tools. The result showed that the Kusza Observatory Merang is still appropriate to be the place of observation of celestial objects to either optical or radio astronomers. Hence, we recommended that through the data obtained from Defense Meteorological Satellite Program (DMSP) satellites, the value of sky brightness from all over the world can be used to make further analysis and to increase the precision of data recorded through observations. This study provides a clear view mapping of the accessing the sky condition using Geographic Information System (GIS) analysis in the study area.

     

     

  • References

    1. Musa GA, Kamarudin,MKA, Roslan U, Azizah E, Saiful Iskandar K, Hafizan J. (2017) Night Sky Brightness Assessment in Nigeria Using Environmetric and GIS Technique. International Journal on Advanced Science Engineering Information Technology Vol.7 (2017) No. 1 ISSN: 2088-5334 Pp. 28-34

      [2] Allena AB, Rossing WAH, van der Werf W, Heusinkveld BG,

      Bukovinszky T & Steingröver E (2012), Effect of light quality on movement of Pterostichus melanarius (Coleoptera: Carabidae). Journal of Applied Entomology 136, 793-800.

      [3] Earth Observation Group, NOAA National Geophysical center, Dark Sky Company, LLC on the www.NASA.gov.com, www.NOAA.gov.com , http://www.lightpollutionmap.info

      ESRI, ARCgis spatial analyst, www.esri.com/spatialanalyst

      [4] Bushnall D (2005), Observing the Deep Sky -an astronomer’s companion. The Crowood Press Ltd Ramsbury, Marlborough Witlshire SN8 2HR 175, 68-69.

      [5] Riegel KW (1973), Light Pollution 179, 4080.

      [6] Tahar, M. R., Kamarudin, F., Umar, R., Kamarudin, M. K. A., Sabri, N. H., Ahmad, K., ... & Baharim, M. S. A. (2017). Spatial Model of Sky Brightness Magnitude in Langkawi Island, Malaysia. Research in Astronomy and Astrophysics, 17(4), 037.

      [7] Croft TA (1979), The Brightness of lights on earth at night, digitally recorded by DMSP satellite. U.S Geological Survey Reston, Virginia

      [8] Ransen OF (2013), Candelas, Lumens and Lux, on the http://www.ransen.com/photometric

      [9] Sabri, N. H., Umar, R., Shafie, M. M., Zafar, S. N. A. S., Mat, R., Ahmad, S., & Ibrahim, Z. A. (2017). Correlation analysis of tropical rainforest climate effect on radio signal strength at KUSZA observatory, Terengganu. Advanced Science Letters, 23(2), 1268-1271.

      [10] Abdullahi, M. G., Kamarudin, M. K. A., Umar, R., Endut, A., Khalit, S. I., & Juahir, H. (2017). Night sky brightness assessment in Nigeria using environmetric and GIS technique. International Journal on Advanced Science, Engineering and Information Technology, 7(1), 28-34.

      [11] Haque MN, Shahid S, Keramat M, & Mohsenipour M (2016), GIS integration of hydrogeological and geoelectrical data for groundwater potential modeling in the western part of greater Kushtia district of Bangladesh. Water Resources 2, 283-291.

      [12] Alvarado A, Esteller MV, Quentin E & Exposito JL (2016), Multi-criteria decision analysis and GIS approach for prioritization of drinking water utilities protection based on their vulnerability to contamination. Water Resources Management 4, 1549-1566.

      [13] Fathian F, Aliyari H, Kahya E & Dehghan Z (2016), Temporal trends in precipitation using spatial techniques in GIS over Urmia Lake Basin. Iran. International Journal of Hydrology Science and Technology 1, 62-81.

      [14] Abdullahi, M. G., Kamarudin, M. K. A., Umar, R., Endut, A., Khalit, S. I., & Juahir, H. (2017). Night sky brightness assessment in Nigeria using environmetric and GIS technique. International Journal on Advanced Science, Engineering and Information Technology, 7(1), 28-34.

      [15] Umar, R., Kamarudin, M. K. A., Wan, N. N., Yusra, A. I., Juahir, H., Razali, M. R., & Anuar, A. I. (2018). ASSESSMENT OF AHP FOR OPTICAL OBSERVATORY AND NEW MOON SIGHTING SITES IN PENINSULAR OF MALAYSIA. Journal of Fundamental and Applied Sciences, 10(1S), 432-444.

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  • How to Cite

    Umar, R., Jannah Awang, W., Nadhirah Berzanji, S., Farhana Abd Majed, N., Khairul Amri Kamarudin, M., & Garba Abdullahi, M. (2018). Spatial Model of Sky Brightness Magnitude in KUSZA Observatory, UniSZA. International Journal of Engineering & Technology, 7(2.15), 13-18. https://doi.org/10.14419/ijet.v7i2.15.11189