Representativeness of the ground observational sites and up-scaling of the point soil moisture measurements
文献类型：期刊论文
| 作者 | Chen, Jinlei1,2; Wen, Jun1; Tian, Hui1 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2016-02-01 |
| 卷号 | 533页码:62-73 |
| 关键词 | Soil moisture Up-scaling Time stability analysis Sliding correlation analysis |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2015.11.032 |
| 通讯作者 | Wen, Jun(jwen@lzb.ac.cn) |
| 英文摘要 | Soil moisture plays an increasingly important role in the cycle of energy-water exchange, climate change, and hydrologic processes. It is usually measured at a point site, but regional soil moisture is essential for validating remote sensing products and numerical modeling results. In the study reported in this paper, the minimal number of required sites (NRS) for establishing a research observational network and the representative single sites for regional soil moisture estimation are discussed using the soil moisture data derived from the "Maqu soil moisture observational network" (101 degrees 40'-102 degrees 40'E, 33 degrees 30'-35 degrees 45'N), which is supported by Chinese Academy of Science. Furthermore, the best up-scaling method suitable for this network has been studied by evaluating four commonly used up-scaling methods. The results showed that (1) Under a given accuracy requirement R >= 0.99, RMSD <= 0.02 m(3)/m(3), NRS at both 5 and 10 cm depth is 10. (2) Representativeness of the sites has been validated by time stability analysis (TSA), time sliding correlation analysis (TSCA) and optimal combination of sites (OCS). NST01 is the most representative site at 5 cm depth for the first two methods; NST07 and NST02 are the most representative sites at 10 cm depth. The optimum combination sites at 5 cm depth are NST01, NST02, and NST07. NST05, NST08, and NST13 are the best group at 10 cm depth. (3) Linear fitting, compared with other three methods, is the best up-scaling method for all types of representative sites obtained above, and linear regression equations between a single site and regional soil moisture are established hereafter. "Single site" obtained by OCS has the greatest up-scaling effect, and TSCA takes the second place. (4) Linear fitting equations show good practicability in estimating the variation of regional soil moisture from July 3, 2013 to July 3, 2014, when a large number of observed soil moisture data are lost. (C) 2015 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI |
| WOS关键词 | TEMPORAL STABILITY ; VARIABILITY ; RETRIEVAL ; NETWORK ; MISSION |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000370086200006 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557397 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Wen, Jun |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Jinlei,Wen, Jun,Tian, Hui. Representativeness of the ground observational sites and up-scaling of the point soil moisture measurements[J]. JOURNAL OF HYDROLOGY,2016,533:62-73. |
| APA | Chen, Jinlei,Wen, Jun,&Tian, Hui.(2016).Representativeness of the ground observational sites and up-scaling of the point soil moisture measurements.JOURNAL OF HYDROLOGY,533,62-73. |
| MLA | Chen, Jinlei,et al."Representativeness of the ground observational sites and up-scaling of the point soil moisture measurements".JOURNAL OF HYDROLOGY 533(2016):62-73. |
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来源：寒区旱区环境与工程研究所
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