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

被引:0
|
作者
Yao, Jiaqi [1 ,2 ,3 ]
Sun, Shiyi [4 ]
Zhai, Haoran [3 ]
Feger, Karl-Heinz [5 ]
Zhang, Lulu [6 ]
Tang, Xinming [3 ]
Li, Guoyuan [3 ]
Wang, Qiang [1 ,2 ]
机构
[1] Tianjin Normal Univ, Acad Ecocivilizat Dev Jing Jin Ji Megalopolis, Tianjin 300387, Peoples R China
[2] Tianjin Normal Univ, Sch Geog & Environm Sci, Tianjin 300387, Peoples R China
[3] Minist Nat Resources, Land Satellite Remote Sensing Applicat Ctr, Beijing 100048, Peoples R China
[4] Tech Univ Dresden, Inst Environm Sci, Dept Earth Sci, D-01069 Dresden, Germany
[5] Tech Univ Dresden, Inst Soil Sci & Site Ecol, Dept Forest Sci, D-01735 Tharandt, Germany
[6] United Nations Univ, Inst Integrated Management Mat Fluxes & Resources, D-01067 Dresden, Germany
关键词
Miyun reservoir; Temporal changes; Remote sensing; Water body erosion; Optical image; Satellite laser altimetry; IMAGES; LAKES;
D O I
10.1016/j.ecolind.2022.109470
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] 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
    Wang, Qiang
    [J]. Ecological Indicators, 2022, 144
  • [2] Satellite remote sensing to improve source water quality monitoring: A water utility's perspective
    Lioumbas, John
    Christodoulou, Aikaterini
    Katsiapi, Matina
    Xanthopoulou, Nikoletta
    Stournara, Panagiota
    Spahos, Thomas
    Seretoudi, Georgia
    Mentes, Alexandros
    Theodoridou, Nopi
    [J]. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2023, 32
  • [3] Forest Dynamic Monitoring by Remote Sensing from 2000 to 2015 in the Water Source Area of the South-to-North Water Diversion Project
    Gao W.
    Zeng Y.
    Liu Y.
    Yi H.
    Wu B.
    Ju H.
    [J]. Linye Kexue/Scientia Silvae Sinicae, 2019, 55 (04): : 97 - 107
  • [4] Analysis of irrigation water based on multi-source remote sensing data and water balance principle
    Lu S.
    Zhao H.
    Jiang Y.
    Hao Z.
    Zhang X.
    Chen G.
    [J]. Shuili Xuebao/Journal of Hydraulic Engineering, 2021, 52 (09): : 1126 - 1135
  • [5] Dynamic Monitoring of Poyang Lake Water Area and Storage Changes from 2002 to 2022 via Remote Sensing and Satellite Gravimetry Techniques
    Wang, Fengwei
    Zhou, Qing
    Gao, Haipeng
    Wen, Yanlin
    Zhou, Shijian
    [J]. REMOTE SENSING, 2024, 16 (13)
  • [6] Urban water extraction based on multi-source remote sensing images
    Fan, Yuancheng
    Zhou, Tinggang
    Li, Chengfan
    [J]. EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 3, 2011, : 312 - 315
  • [7] MONITORING SURFACE WATER CONTENT AND BIOGEOCHEMICAL RESPONSES IN THE AREA SURROUNDING RIVER MOUTHS USING MULTI-SOURCE SATELLITE REMOTE SENSING
    Kim, Youngwook
    Park, Ji-Hyung
    Du, Jinyang
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3742 - 3744
  • [8] Water Quality Monitoring of Water Resources Conservation Area in City of Shanghai Based on Remote Sensing
    Qiu, Yanling
    Zhang, Hongen
    Tong, Xiaohua
    Chen, Ling
    Zhao, Jianfu
    [J]. 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 3434 - +
  • [9] Dynamic Water Quality Changes in the Main Stream of the Yangtze River from Multi-Source Remote Sensing Data
    Zhao, Jiarui
    Jin, Shuanggen
    Zhang, Yuanyuan
    [J]. REMOTE SENSING, 2023, 15 (10)
  • [10] Method of monitoring surface water quality based on remote sensing in Miyun reservoir
    Zhang, Xiwang
    Qin, Fen
    Liu, Jianfeng
    [J]. 2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 6070 - +