Spatial-temporal variation and attribution of salinization in the Yellow River Basin from 2015 to 2020
文献类型:期刊论文
作者 | Hong, Mengmeng5; Wang, Juanle2,3,4; Han, Baomin5 |
刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH |
出版日期 | 2022-12-31 |
卷号 | 16期号:1页码:446-463 |
ISSN号 | 1753-8955 |
关键词 | Salinization land degradation Yellow River Basin Google Earth Engine feature space sustainable development goals 15 |
DOI | 10.1080/17538947.2023.2181993 |
文献子类 | Article |
英文摘要 | Under the pressure of SDG15.3.1 compliance, it is imperative to solve the land salinization degradation problem in the Yellow River Basin as China's granary. From the view of geographical scale, six zoning units were divided in the Yellow River Basin with 'climate-meteorology-geomorphology' as the main controlling factor, and a salinization inversion model was constructed for each zoning unit. Appropriate surface parameters were selected to construct a three-dimensional feature space according to the individual geographical zones. Based on the cloud data processing capability of the Google Earth Engine platform, a feature space inversion process was applied for automatic inversion of salinization. Salinization distribution maps of the Yellow River Basin in 2015 and 2020 were obtained at 30 m resolution by classifying the salinization inversion result. The distribution and spatiotemporal variation of salinization as well as the causes of salinization were analyzed. Reasonable prevention and control suggestions were subsequently proposed. This study could also be scaled up to larger and more complex geographical regions. |
WOS关键词 | SOIL SALINIZATION ; IRRIGATION DISTRICT ; SALINITY ; CLIMATE |
WOS研究方向 | Physical Geography ; Remote Sensing |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000941866700001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/190227] |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
作者单位 | 1.Jiangsu Collaborat Innovat Ctr Geog Informat Resou, Nanjing 210023, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100000, Peoples R China 3.Jiangsu Collaborat Innovat Ctr Geog Informat Resou, Nanjing, Peoples R China 4.Shandong Univ Technol, Zibo, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Hong, Mengmeng,Wang, Juanle,Han, Baomin. Spatial-temporal variation and attribution of salinization in the Yellow River Basin from 2015 to 2020[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2022,16(1):446-463. |
APA | Hong, Mengmeng,Wang, Juanle,&Han, Baomin.(2022).Spatial-temporal variation and attribution of salinization in the Yellow River Basin from 2015 to 2020.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1),446-463. |
MLA | Hong, Mengmeng,et al."Spatial-temporal variation and attribution of salinization in the Yellow River Basin from 2015 to 2020".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2022):446-463. |
入库方式: OAI收割
来源:地理科学与资源研究所
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