Physical evolution of the Three Gorges Reservoir using advanced SVM on Landsat images and SRTM DEM data
Zhang, Jing1,2; Li, Siyue2; Dong, Ruozhu2; Jiang, Changsheng1
刊名ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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
DOI10.1007/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
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000433495500057
内容类型期刊论文
源URL[http://119.78.100.138/handle/2HOD01W0/6471]  
专题生态过程与重建研究中心
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace