Sedimentation is one of the main factors that reduce the gross storage capacity of a reservoir over the period of time. Live storage capacity can be estimated with the help of satellite imageries. Remote sensing technique gives a synoptic view of a reservoir to estimate sedimentation in live storage zone. In this study, LANDSAT 8 satellite imageries are used to find out the loss of live storage capacity and rate of siltation of a Mula reservoir, Maharashtra, India, for the years 2014 and 2018, respectively. The percentage loss of live storage for the years 2014 and 2018 is 5.15 and 5.5, respectively. Rate of siltation for both the study years is same, i.e. around 310 m3/km2/year, which is good under prevailing conditions of Indian reservoirs. The Mula reservoir has not much significant sedimentation issue.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Reduction in Live Storage Capacity of a Reservoir Due to Sedimentation Using Satellite Imageries


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Laishram, Boeing (Herausgeber:in) / Tawalare, Abhay (Herausgeber:in) / Jibhakate, Tulshidas (Autor:in) / Mirajkar, Ashwini (Autor:in)

    Kongress:

    International Conference on Advances in Civil Engineering ; 2020 May 28, 2020 - May 29, 2020



    Erscheinungsdatum :

    15.12.2021


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Oceanographic Applications of Color-Enhanced Satellite Imageries

    W. F. Mitchell / K. H. Szekielda | NTIS | 1971


    Earth-Orbiting Satellite Imageries for Geodetic Data: A Simulation Study

    Shahrokhi, F. / Tarabzouni, N. / Jasentuliyana, N. | AIAA | 1990



    Predicting reservoir capacity loss from sedimentation at large indian dams

    Froehlich, David C. / International Association for Hydro-Environment Engineering and Research (IAHR) | HENRY – Bundesanstalt für Wasserbau (BAW) | 2018

    Freier Zugriff