• Login
    • University Home
    • Library Home
    • Lib Catalogue
    • Advance Search
    View Item 
    •   IR@KDU Home
    • INTERNATIONAL RESEARCH CONFERENCE ARTICLES (KDU IRC)
    • 2023 IRC Abstracts
    • Built Environment and Spatial Sciences
    • View Item
    •   IR@KDU Home
    • INTERNATIONAL RESEARCH CONFERENCE ARTICLES (KDU IRC)
    • 2023 IRC Abstracts
    • Built Environment and Spatial Sciences
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Study of Solar Radiation Variation over an Area Using GNSS Observations – Spatial Reference to KDU Southern Campus

    Thumbnail
    View/Open
    FBESS-33.pdf (192.1Kb)
    Date
    2023-09
    Author
    Sandanayake, WMHP
    Manuranga, KP
    Lakmal, AH
    Prasanna, HMI
    Metadata
    Show full item record
    Abstract
    At present, Global Navigation Satellite Systems (GNSS) are used to study the behaviour of the atmosphere including the ionosphere and the troposphere by calculating the time taken for a GNSS satellite signal to reach the Earth. The GNSS satellite signals get interrupted while travelling through the ionosphere due to free electrons produced from exposing the particles in the atmosphere to extreme Ultraviolet radiations. These amounts of free electrons are identified as the Total Electron Content (TEC) in the ionosphere. So due to these interruptions, a delay occurs when GNSS satellite signals reach the GNSS receivers on the Earth’s surface. This effect is called as the ionospheric delay. So, scientists use statistics related to ionospheric delay to study the behaviour of the ionosphere. This study also describes a method to obtain the TEC in the ionosphere using the ionospheric delay and determines the solar radiation variation over an area using those calculated TEC values. Herein, single-frequency GNSS signals of the Global Positioning System were used and thereafter TEC values along each signal path were calculated. Then the variations of TEC values were obtained and thereby an equation was derived through nonlinear regression analysis to predict the solar radiation variation. After the analysis, the study is concluded by obtaining the TEC variations over an area and finding an ideal method to obtain solar radiation variation using those TEC values obtained with the help of the model created through nonlinear regression analysis.
    URI
    http://ir.kdu.ac.lk/handle/345/6845
    Collections
    • Built Environment and Spatial Sciences [40]

    Library copyright © 2017  General Sir John Kotelawala Defence University, Sri Lanka
    Contact Us | Send Feedback
     

     

    Browse

    All of IR@KDUCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsFacultyDocument TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsFacultyDocument Type

    My Account

    LoginRegister

    Library copyright © 2017  General Sir John Kotelawala Defence University, Sri Lanka
    Contact Us | Send Feedback