Reservoir storage curve estimation based on remote sensing data

Peng Dingzhi, Guo Shenglian, Liu Pan, Liu Ting

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    49 Citations (Scopus)

    Abstract

    A reservoir is one of the most efficient measures for integrated water resources development and management. The reservoir storage curve is a vital parameter for multipurpose reservoir operation and its precision is a key issue for water balance and strategic risk management. Compared with the traditional approach, the method based on remote sensing (RS) data provides better information, which can be helpful in reservoir operation and management. Fengman Reservoir was chosen as a case study to obtain the new storage curve that is based on LandSat data. The inflows of the reservoir were calculated in dry seasons (December, January, and February) from 1958 to 1986 on the basis of the designed storage curve and the new estimated curve, respectively. Compared with the observation data, the average relative error of inflow using the new estimated curve is much less than one using the designed curve. The results showed that reservoir storage curve estimation based on RS data is reasonable and has relatively high precision.
    Translated title of the contributionReservoir storage curve estimation based on remote sensing data
    Original languageEnglish
    Pages (from-to)165 - 172
    Number of pages8
    JournalJournal of Hydrologic Engineering, ASCE
    Volume11
    DOIs
    Publication statusPublished - Mar 2006

    Fingerprint

    Dive into the research topics of 'Reservoir storage curve estimation based on remote sensing data'. Together they form a unique fingerprint.

    Cite this