Spatial variability and forecast of soil water in the ultra-deep loess profile across a south-north transect of the Chinese Loess Plateau
文献类型：期刊论文
| 作者 | Gong, Tiexiong1,7; Zhu, Yuanjun2,3,4,5; Qiao, Jiangbo3,4; Shao, Ming'an2,3,4,5,6 |
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 38期号:3页码:12 |
| ISSN号 | 0885-6087 |
| 关键词 | artificial neural networks Chinese Loess Plateau soil water ultra-deep loess profile |
| DOI | 10.1002/hyp.15108 |
| 通讯作者 | Gong, Tiexiong(gongtiexiong@foxmail.com) |
| 英文摘要 | Knowledge of the spatial variability and forecast of soil water in the ultra-deep (>21 m) loess profile are important for understanding the chemical, physical, and biological processes in the CZ. In this study, we regularly monitor soil water content (SWC) in deep soil profile along regional transect on the Loess Plateau. Descriptive statistical analysis found that the coefficient of variation (CV) of mean SWC in Ansai and Shenmu were 16.036% and 13.606%, respectively, indicating moderate variability. The CV of mean SWC in Yangling, Changwu, and Fuxian were 4.111%, 7.951%, and 6.117%, respectively, showing low variability. Geo-statistical analysis indicated that mean SWC showed strong spatial dependence. Wavelet analysis showed that the approximative trend of mean SWC in five sampling sites showed an increased trend along depth series. In addition, a good fit line equation (R2 = 0.329) was established by using observed values and ANN-forecast of three sites (Yangling, Fuxian, and Shenmu). And the RMSE values of five sample sites, respectively, were 1.302, 4.546, 2.662, 6.231, and 4.293. This study fills the gap in research' ultra-deep (>21 m) soil water changes and forecast, evidence from soil borehole data. At the same time, our research provides valuable information for the vegetation restoration and modelling of deep soil water. |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORK ; TEMPORAL STABILITY ; MOISTURE ; STORAGE ; DYNAMICS ; MODEL ; SIMULATION ; PATTERNS ; IMPACTS ; ZONE |
| 资助项目 | Gansu Agricultural University ; National Natural Science Foundation of China[41530854] ; National Natural Science Foundation of China[41371242] ; National Natural Science Foundation of China[41571130081] ; National Key Research and Development Plan[2016YFC0501706] ; [GAU-KYQD-2022-34] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:001176627800001 |
| 资助机构 | Gansu Agricultural University ; National Natural Science Foundation of China ; National Key Research and Development Plan |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203553]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Gong, Tiexiong |
| 作者单位 | 1.Gansu Agr Univ, Coll Resources & Environm, Lanzhou, Peoples R China 2.Northwest A&F Univ, Coll Resources & Environm, Yangling, Peoples R China 3.Northwest A&F Univ, Key Lab Soil Eros & Dryland Farming Loess Plateau, Yangling, Peoples R China 4.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Peoples R China 5.Univ Chinese Acad Sci, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 7.Gansu Agr Univ, Coll Resources & Environm, Lanzhou 730070, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gong, Tiexiong,Zhu, Yuanjun,Qiao, Jiangbo,et al. Spatial variability and forecast of soil water in the ultra-deep loess profile across a south-north transect of the Chinese Loess Plateau[J]. HYDROLOGICAL PROCESSES,2024,38(3):12. |
| APA | Gong, Tiexiong,Zhu, Yuanjun,Qiao, Jiangbo,&Shao, Ming'an.(2024).Spatial variability and forecast of soil water in the ultra-deep loess profile across a south-north transect of the Chinese Loess Plateau.HYDROLOGICAL PROCESSES,38(3),12. |
| MLA | Gong, Tiexiong,et al."Spatial variability and forecast of soil water in the ultra-deep loess profile across a south-north transect of the Chinese Loess Plateau".HYDROLOGICAL PROCESSES 38.3(2024):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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