Detecting 3D Salinity Anomalies from Soil Sampling Points: A Case Study of the Yellow River Delta, China
文献类型：期刊论文
| 作者 | Han, Zhoushun3; Fu, Xin; Yu, Jianing2,3; Zhang, Hengcai2,3 |
| 刊名 | LAND
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 13期号:9页码:1488 |
| 关键词 | soil salinity salinity anomaly 3D structure Kenli region Yellow River Delta soil science |
| DOI | 10.3390/land13091488 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Rapidly capturing the spatial distribution of soil salinity plays important roles in saline soils' management. Existing studies mostly focus on the macroscopic distribution of soil-salinity changes, lacking effective methods to detect the structure of micro-regional areas of soil-salinity anomalies. To overcome this problem, this study proposes a 3D Soil-Salinity Anomaly Structure Extraction (3D-SSAS) methodology to discover soil-salinity anomalies and step forward in revealing the irregular 3D structure of soil-anomaly salinity areas from limited sampling points. We first interpolate the sampling points to soil voxels using 3D EBK. A novel concept, the Local Anomaly Index (LAI), is developed to identify the candidate soil-salinity anomalies with the greatest amplitude of change. By performing differential calculations on the LAI sequence to determine the threshold, the anomaly candidates are selected. Finally, we adopt 3D DBSCAN to construct anomalous candidates as a 3D soil-salinity anomaly structure. The experimental results from the Yellow River Delta data set show that 3D-SSAS can effectively identify the 3D structure of salinity-anomaly areas, which are highly correlated with the geographical distribution mechanism of soil salinity. This study provides a novel method for soil science, which is conducive to further research on the complex variation process of soil salinity's spatial distribution. |
| WOS关键词 | ENVIRONMENTAL-FACTORS ; SOUTHERN XINJIANG ; IRRIGATION ; HETEROGENEITY ; SALINIZATION ; COMMUNITIES ; VEGETATION ; BASIN |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:001322939300001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/208011]  |
| 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.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Jinan, Sch Water Conservancy & Environm, Jinan 250022, Peoples R China |
| 推荐引用方式 GB/T 7714 | Han, Zhoushun,Fu, Xin,Yu, Jianing,et al. Detecting 3D Salinity Anomalies from Soil Sampling Points: A Case Study of the Yellow River Delta, China[J]. LAND,2024,13(9):1488. |
| APA | Han, Zhoushun,Fu, Xin,Yu, Jianing,&Zhang, Hengcai.(2024).Detecting 3D Salinity Anomalies from Soil Sampling Points: A Case Study of the Yellow River Delta, China.LAND,13(9),1488. |
| MLA | Han, Zhoushun,et al."Detecting 3D Salinity Anomalies from Soil Sampling Points: A Case Study of the Yellow River Delta, China".LAND 13.9(2024):1488. |
入库方式： OAI收割
来源：地理科学与资源研究所
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