Spatiotemporal Changes of Soil Salinization in the Yellow River Delta of China from 2015 to 2019
Bian, Lingling2,3,4; Wang, Juanle1,2,3; Liu, Jing2,5; Han, Baomin3
刊名SUSTAINABILITY
2021
卷号13期号:2页码:14
关键词Yellow River Delta salinization land degradation feature space remote sensing inversion China
DOI10.3390/su13020822
通讯作者Wang, Juanle(wangjl@igsnrr.ac.cn) ; Liu, Jing(320202511@xjau.edu.cn)
英文摘要Soil salinization poses a significant challenge for achieving sustainable utilization of land resources, especially in coastal, arid, and semi-arid areas. Timely monitoring of soil salt content and its spatial distribution is conducive to secure efficient agricultural development in these regions. In this study, to address the persistent problem of soil salinization in the Yellow River Delta in China, the feature space method was used to construct multiple feature spaces of surface albedo (Albedo)-modified soil-adjusted vegetation index (MSAVI), salinity index (SI)-Albedo, and SI-normalized difference vegetation index (NDVI), and an optimal inversion model of soil salinity was developed. Based on Landsat 8 Operational Land Imager (OLI) image data and simultaneous field-measured sampling data, an optimal model from 2015 to 2019 was used to obtain the soil salt content in the region at a 30 m resolution. The results show that the proportion of soil salinization in 2015 and 2019 was approximately 76% and 70%, respectively, and overall soil salinization showed a downward trend. The salinization-mitigated areas are primarily distributed in the southwest of the Yellow River Delta, and the aggravated areas are distributed in the northeast and southeast. In general, the spatial variation characteristics show an increasing trend from the southwest to the eastern coastal areas, corresponding to the formation mechanism of salt accumulation in the region. Further, corresponding sustainable development countermeasures and suggestions were proposed for different salinity levels. Meanwhile, this study revealed that the SI-Albedo feature space model is the most suitable for inversion of salinization in coastal areas.
资助项目China-Pakistan Joint Research Center on Earth Sciences
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:000611739100001
资助机构China-Pakistan Joint Research Center on Earth Sciences
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/160738]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Juanle; Liu, Jing
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255049, Peoples R China
4.Jinan Geotech Invest & Surveying Inst, Jinan 250013, Peoples R China
5.Xinjiang Agr Univ, Coll Grass & Environm Sci, Urumqi 830000, Peoples R China
推荐引用方式
GB/T 7714
Bian, Lingling,Wang, Juanle,Liu, Jing,et al. Spatiotemporal Changes of Soil Salinization in the Yellow River Delta of China from 2015 to 2019[J]. SUSTAINABILITY,2021,13(2):14.
APA Bian, Lingling,Wang, Juanle,Liu, Jing,&Han, Baomin.(2021).Spatiotemporal Changes of Soil Salinization in the Yellow River Delta of China from 2015 to 2019.SUSTAINABILITY,13(2),14.
MLA Bian, Lingling,et al."Spatiotemporal Changes of Soil Salinization in the Yellow River Delta of China from 2015 to 2019".SUSTAINABILITY 13.2(2021):14.
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