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
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 th...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22009438 |
| _version_ | 1811250755752951808 |
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| author | Jiaqi Yao Shiyi Sun Haoran Zhai Karl-Heinz Feger Lulu Zhang Xinming Tang Guoyuan Li Qiang Wang |
| author_facet | Jiaqi Yao Shiyi Sun Haoran Zhai Karl-Heinz Feger Lulu Zhang Xinming Tang Guoyuan Li Qiang Wang |
| author_sort | Jiaqi Yao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T16:09:23Z |
| format | Article |
| id | doaj.art-dc96e81d74bd4bc6b0ebe4f2c61ef5bf |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-12T16:09:23Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-dc96e81d74bd4bc6b0ebe4f2c61ef5bf2022-12-22T03:25:57ZengElsevierEcological Indicators1470-160X2022-11-01144109470Dynamic 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 qualityJiaqi Yao0Shiyi Sun1Haoran Zhai2Karl-Heinz Feger3Lulu Zhang4Xinming Tang5Guoyuan Li6Qiang Wang7Academy of Eco-civilization Development for Jing-Jin-Ji Megalopolis, Tianjin Normal University, Tianjin 300387, China; School of Geographic and Environment Science, Tianjin Normal University, Tianjin 300387, China; Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaDepartment of Earth Sciences, Institute of Environmental Sciences, Technische Universität Dresden, Dresden 01069, Germany; Corresponding author.Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaDepartment of Forest Sciences, Institute of Soil Science and Site Ecology, Technische Universität Dresden, Tharandt 01735, GermanyInstitute for Integrated Management of Material Fluxes and of Resources, United Nations University, Dresden 01067, GermanyLand Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaLand Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaAcademy of Eco-civilization Development for Jing-Jin-Ji Megalopolis, Tianjin Normal University, Tianjin 300387, China; School of Geographic and Environment Science, Tianjin Normal University, Tianjin 300387, ChinaThe 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.http://www.sciencedirect.com/science/article/pii/S1470160X22009438Miyun reservoirTemporal changesRemote sensingWater body erosionOptical imageSatellite laser altimetry |
| spellingShingle | Jiaqi Yao Shiyi Sun Haoran Zhai Karl-Heinz Feger Lulu Zhang Xinming Tang Guoyuan Li Qiang Wang 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 Miyun reservoir Temporal changes Remote sensing Water body erosion Optical image Satellite laser altimetry |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Miyun reservoir Temporal changes Remote sensing Water body erosion Optical image Satellite laser altimetry |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22009438 |
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