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基于传统站点观测和稳健参数化的全球土壤水力性质数据集。

Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization.

机构信息

Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.

OpenGeoHub Foundation, Wageningen, the Netherlands.

出版信息

Sci Data. 2022 Jul 25;9(1):444. doi: 10.1038/s41597-022-01481-5.

DOI:10.1038/s41597-022-01481-5
PMID:35879368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9314379/
Abstract

The representation of land surface processes in hydrological and climatic models critically depends on the soil water characteristics curve (SWCC) that defines the plant availability and water storage in the vadose zone. Despite the availability of SWCC datasets in the literature, significant efforts are required to harmonize reported data before SWCC parameters can be determined and implemented in modeling applications. In this work, a total of 15,259 SWCCs from 2,702 sites were assembled from published literature, harmonized, and quality-checked. The assembled SWCC data provide a global soil hydraulic properties (GSHP) database. Parameters of the van Genuchten (vG) SWCC model were estimated from the data using the R package 'soilhypfit'. In many cases, information on the wet- or dry-end of the SWCC measurements were missing, and we used pedotransfer functions (PTFs) to estimate saturated and residual water contents. The new database quantifies the differences of SWCCs across climatic regions and can be used to create global maps of soil hydraulic properties.

摘要

在水文和气候模型中,地表过程的表示极大地依赖于土壤水分特征曲线(SWCC),该曲线定义了土壤中植物可用水分和储水量。尽管文献中提供了 SWCC 数据集,但在确定 SWCC 参数并将其应用于建模应用之前,需要进行大量工作来协调报告的数据。在这项工作中,我们从已发表的文献中总共组装了 15,259 个来自 2,702 个地点的 SWCC,并对其进行了协调和质量检查。组装后的 SWCC 数据提供了一个全球土壤水力特性(GSHP)数据库。使用 R 包“soilhypfit”从数据中估计了 van Genuchten(vG)SWCC 模型的参数。在许多情况下,SWCC 测量的湿端或干端的信息缺失,我们使用了土壤传输函数(PTFs)来估计饱和和残余含水量。新数据库量化了 SWCC 在不同气候区的差异,并可用于创建全球土壤水力特性图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/d6912ba3fcb0/41597_2022_1481_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/f0a9405bc386/41597_2022_1481_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/0d71dd1179ea/41597_2022_1481_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/61cb364d686a/41597_2022_1481_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/d6912ba3fcb0/41597_2022_1481_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/f0a9405bc386/41597_2022_1481_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/0d71dd1179ea/41597_2022_1481_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/61cb364d686a/41597_2022_1481_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a90/9314379/d6912ba3fcb0/41597_2022_1481_Fig4_HTML.jpg

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