Retrieving dynamics of the surface water extent in the upper reach of Yellow River
文献类型：期刊论文
| 作者 | Zhou, Haowei1,2; Liu, Suxia1,2,3 ; Hu, Shi1; Mo, Xingguo1,2,3
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| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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| 出版日期 | 2021-12-15 |
| 卷号 | 800页码:17 |
| ISSN号 | 0048-9697 |
| 关键词 | Surface water extent dynamics Landsat images Water extraction Surface water gaps interpolation Google Earth Engine |
| DOI | 10.1016/j.scitotenv.2021.149348 |
| 通讯作者 | Mo, Xingguo(moxg@igsnrr.ac.cn) |
| 英文摘要 | Multi-time scale surface water extent (SWE) dynamics are very important to understand climate change impacts on water resources. With Landsat 5/7/8 images and Google Earth Engine (GEE), an improved threshold-based water extraction algorithm and a novel surface water gaps (SWGs) interpolation method based on historical water frequency were applied to build surface water area (SWA, namely SWE without ice) and water body area (WBA. namely SWE with ice) monthly (January 2001-December 2019) and annual (1986-2019) time series in the upper reaches of the Yellow River (UYR). The Mann-Kendall test was used to analyse SWE trends, and the ridge regression was performed to figure out the relative contributions of meteorological factors to SWE dynamics. The pixels with modified normalized difference water index (MNDWI) higher than normalized difference vegetation index (NDVI) or enhanced vegetation index (EVI) were identified as SWE. The mean relative error (MRE) of the SWGs interpolation results was below 10%. At the annual scale, the average SWA and number of lakes over 1 ha showed significant upward trends of 4.4 km(2) yr(-1) and 7.53 yr(-1), respectively. The monthly WBA increased in summer and autumn while decreased in spring and winter. The maximum freezing and thawing ratios were 53.74% in December and 37.32% in May, respectively. Attribution analysis showed that precipitation and wind speed were the foremost factors dominating the dynamics of annual SWA and monthly WBA, respectively. Our findings confirmed that climatic changes have altered the dynamics of water bodies in the UYR. (C) 2021 Elsevier B.V. All rights reserved. |
| WOS关键词 | LANDSAT TIME-SERIES ; INUNDATION DYNAMICS ; INDEX NDWI ; 3 DECADES ; SCALE ; AREA ; LAKE |
| 资助项目 | project of National Key Research and Development Program of China[2018YFE0106500] ; Second Tibetan Plateau Scientific Expedition and Research Program(STEP)[2019QZKK0403] ; Second Tibetan Plateau Scientific Expedition and Research Program(STEP)[2019QZKK0903] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040301] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000702510000007 |
| 资助机构 | project of National Key Research and Development Program of China ; Second Tibetan Plateau Scientific Expedition and Research Program(STEP) ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165884]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Mo, Xingguo |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Univ Chinese Acad Sci, Sino Danish Ctr, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Haowei,Liu, Suxia,Hu, Shi,et al. Retrieving dynamics of the surface water extent in the upper reach of Yellow River[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,800:17. |
| APA | Zhou, Haowei,Liu, Suxia,Hu, Shi,&Mo, Xingguo.(2021).Retrieving dynamics of the surface water extent in the upper reach of Yellow River.SCIENCE OF THE TOTAL ENVIRONMENT,800,17. |
| MLA | Zhou, Haowei,et al."Retrieving dynamics of the surface water extent in the upper reach of Yellow River".SCIENCE OF THE TOTAL ENVIRONMENT 800(2021):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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