Physical evolution of the Three Gorges Reservoir using advanced SVM on Landsat images and SRTM DEM data
文献类型:期刊论文
作者 | Zhang, Jing1,2; Li, Siyue2![]() ![]() |
刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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出版日期 | 2018-05-01 |
卷号 | 25期号:15页码:14911-14918 |
关键词 | Reservoir Water Surface Area Reservoir Length Three Gorges Dam Support Vector Machine Land Use Srtm Dem Data |
ISSN号 | 0944-1344 |
DOI | 10.1007/s11356-018-1696-9 |
英文摘要 | The Three Gorges Reservoir (TGR) is one of the largest hydropower reservoirs in the world. However, changes of the important physical characteristics of the reservoir covering pre-, during-, and post- dam have not been well studied. This study analyzed the lengths and water surface areas of the TGR using advanced support vector machine method (SVM) combined Landsat images with the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), which showed an increasing trend of lengths and surface areas with variable growth rates from pre-dam period to post-dam period. The highest water level (ca. 171.5 m) was reported in 1st Jan, 2015, with the longest length of 687.8 km and largest water surface area of 1106.2 km(2) during the study period. The lowest increasing magnitude of the reservoir length occurred in the first stage (2000-2005) but with the fastest magnitude of water surface area increase. The third stage (2010-2015) showed highest increase magnitude of length and lowest increase magnitude of water surface area. Meanwhile, the increased reservoir areas were mainly from cultivated land, forest land, and building land, with the biggest increase rate of cultivated land regardless of periods. Specifically, cultivated land contributed 39.1-46.0% to increased reservoir water area; the proportions were 22.6-29.6%, 22.1-24.1%, and 5.6-9.4% for forest, building land, and grassland, respectively. The study provides important data for the TGR physical evolution in the Holocene. |
资助项目 | Chinese Academy of Sciences[R53A362Z10] ; National Natural Science Foundation of China (NSFC)[31670473] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000433495500057 |
出版者 | SPRINGER HEIDELBERG |
源URL | [http://119.78.100.138/handle/2HOD01W0/6471] ![]() |
专题 | 生态水文研究中心 |
作者单位 | 1.Southwest Univ, Coll Resources & Environm, Chongqing 400716, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu High Tech Pk, Chongqing 400714, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Jing,Li, Siyue,Dong, Ruozhu,et al. Physical evolution of the Three Gorges Reservoir using advanced SVM on Landsat images and SRTM DEM data[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2018,25(15):14911-14918. |
APA | Zhang, Jing,Li, Siyue,Dong, Ruozhu,&Jiang, Changsheng.(2018).Physical evolution of the Three Gorges Reservoir using advanced SVM on Landsat images and SRTM DEM data.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,25(15),14911-14918. |
MLA | Zhang, Jing,et al."Physical evolution of the Three Gorges Reservoir using advanced SVM on Landsat images and SRTM DEM data".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 25.15(2018):14911-14918. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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