Dynamic monitoring of the largest reservoir in North China based on multi-source satellite remote sensing from 2013 to 2022: Water area, water level, water storage and water quality.

Yao, Jiaqi, Sun, Shiyi, Zhai, Haoran, Feger, Karl-Heinz, Zhang, Lulu, Tang, Xinming, Li, Guoyuan and Wang, Qiang, (2022). Dynamic monitoring of the largest reservoir in North China based on multi-source satellite remote sensing from 2013 to 2022: Water area, water level, water storage and water quality.. Ecological Indicators, 144 109470-n/a

Document type:
Article
Collection:
UNU-FLORES Articles

Metadata
Links
Versions
Statistics
  • Sub-type Journal article
    Author Yao, Jiaqi
    Sun, Shiyi
    Zhai, Haoran
    Feger, Karl-Heinz
    Zhang, Lulu
    Tang, Xinming
    Li, Guoyuan
    Wang, Qiang
    Title Dynamic monitoring of the largest reservoir in North China based on multi-source satellite remote sensing from 2013 to 2022: Water area, water level, water storage and water quality.
    Appearing in Ecological Indicators
    Volume 144
    Publication Date 2022
    Place of Publication Amsterdam, Netherlands
    Publisher Elsevier
    Start page 109470
    End page n/a
    Language eng
    Abstract The Miyun Reservoir, located in the Miyun District of Beijing, China, is the largest comprehensive water conservancy project in northern China and an important ecological protection area. The combined effects of many factors produce ecosystem changes in the basin; thus, it is important to analyze the spatial and temporal changes that occur here. Based on multi-source satellite remote sensing data, we analyzed changes in water body area, water level height, and water storage in the Miyun Reservoir from 2013 to 2022 and determined whether these changes were natural or caused by human activity. As traditional water body area extraction methods can misidentify buildings and mountainous areas as water bodies, we fused multiple deep learning models (U-Net and SegNet) using the adboost method, which combined the advantages of the basic models and achieved an overall recognition accuracy of > 90 %. Using annual variations in water storage at the reservoir, we determined that the water body area increased to 157.58 km2 between 2013 and 2022, nearly doubling in size, which corresponded to decreases in cultivated land and vegetated areas. Cultivated land is the main land use type affected by water body erosion. The overall water level height exhibited an upward trend (cumulative increase of 14.8 %), eventually reaching 146.11 m. The water storage volume also increased over time, with a cumulative increase of approximately 436 million m3. On this basis, the influences of temperature, precipitation, and human activity on the spatial and temporal variability of the Miyun Reservoir basin were analyzed. The findings have important implications for global change research within and outside the ecosystem.
    UNBIS Thesaurus REMOTE SENSING
    Keyword Miyun reservoir
    Temporal changes
    Water body erosion
    Optical image
    Satellite laser altimetry
    Copyright Holder The Authors
    Copyright Year 2022
    Copyright type Creative commons
    ISSN 1872-7034
    DOI https://doi.org/10.1016/j.ecolind.2022.109470
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 179 Abstract Views  -  Detailed Statistics
    Created: Sat, 30 Sep 2023, 04:04:43 JST by Věra Greschner Farkavcová on behalf of UNU FLORES