Development of pedotransfer functions for predicting hydraulic parameters of van Genuchten model by incorporating environmental variables on the Qinghai-Tibet Plateau
文献类型：期刊论文
| 作者 | Wang, Ziwei2,3; Huang, Laiming1,3; Shao, Ming'an1,2,3 |
| 刊名 | SOIL & TILLAGE RESEARCH
 |
| 出版日期 | 2024-02-01 |
| 卷号 | 236页码:11 |
| 关键词 | Soil hydraulic parameter Pedotransfer function Van Genuchten model Qinghai-Tibet Plateau |
| ISSN号 | 0167-1987 |
| DOI | 10.1016/j.still.2023.105952 |
| 通讯作者 | Huang, Laiming(huanglm@igsnrr.ac.cn) |
| 英文摘要 | The Qinghai-Tibet Plateau (QTP) region lacks large database of soil hydraulic parameters (SHPs) due to difficulty in soil sampling, and time- and labor-consuming measurement, which prevents accurate modeling of hydrological and biogeochemical processes. Pedotransfer functions (PTFs) using easily measurable soil properties may provide an alternative way to indirectly estimate SHPs. In this study, soil properties (bulk density (BD), clay, silt, sand, soil organic carbon, porosity, fitting parameter related to inverse of air entry pressure (alpha) and soil pore distribution (n), residual and saturated soil water content (theta(r) and theta(s)), and environmental parameters (altitude, slope gradient, annual average precipitation, air temperature, and evaporation) were determined from a north-south transect (ca. 500 km) in Qinghai Province and an east-west transect (ca. 1800 km) in Tibet Autonomous Region for establishing PTFs for SHPs on the QTP. The coefficient of variation of alpha was the largest, followed by theta(r), theta(s), and n, suggesting that alpha had the greatest spatial variability at the regional scale. There were significant differences in BD among 0-10, 10-20, and 20-30 cm soil layers (p < 0.05), whereas there were no significant differences in alpha, n, theta(r), and theta(s) among these soil layers (p > 0.05). The five most important variables from the random forest analysis were selected to establish the PTFs of the SHPs and BD for the 0-30 cm soil layer on the QTP. The established PTFs for predicting SHPs and BD using multiple linear regression analysis were jointly affected by relief, climate, and soil properties. The accuracy of our newly established PTFs with the consideration of gravel content (< 10% or 10-30%) and mattic epipedon (existence or non-existence) was higher than that of the existing PTFs. We developed the first PTFs of SHPs on the QTP, providing a foundation to construct SHPs prediction models for other alpine regions in the world. |
| WOS关键词 | SOIL-WATER RETENTION ; SPATIAL VARIABILITY ; ALPINE GRASSLAND ; ORGANIC-CARBON ; STONY SOILS ; CONDUCTIVITY ; DEGRADATION ; CHINA ; INFILTRATION ; TRANSPORT |
| 资助项目 | National Natural Science Foundation of China[42377302] ; Ministry of Science and Technology of the Pepole's Republic of China ; Second Tibetan Plateau Scientific Expedition and Research (STEP) Program[2019QZKK0306] ; Third Comprehensive Scientific Expedition Project in Xinjiang[2022XJKK0904] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2019052] ; Bingwei Outstanding Young Talent Project from the Institute of Geographical Sciences and Natural Resources Research[2017RC203] ; Opening Funds from State Key Laboratory of Urban and Regional Ecology[SKLURE2023-2-2] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:001166410500001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Ministry of Science and Technology of the Pepole's Republic of China ; Second Tibetan Plateau Scientific Expedition and Research (STEP) Program ; Third Comprehensive Scientific Expedition Project in Xinjiang ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Bingwei Outstanding Young Talent Project from the Institute of Geographical Sciences and Natural Resources Research ; Opening Funds from State Key Laboratory of Urban and Regional Ecology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202927]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Laiming |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Yellow River Delta Modern Agr Engn Lab, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Ziwei,Huang, Laiming,Shao, Ming'an. Development of pedotransfer functions for predicting hydraulic parameters of van Genuchten model by incorporating environmental variables on the Qinghai-Tibet Plateau[J]. SOIL & TILLAGE RESEARCH,2024,236:11. |
| APA | Wang, Ziwei,Huang, Laiming,&Shao, Ming'an.(2024).Development of pedotransfer functions for predicting hydraulic parameters of van Genuchten model by incorporating environmental variables on the Qinghai-Tibet Plateau.SOIL & TILLAGE RESEARCH,236,11. |
| MLA | Wang, Ziwei,et al."Development of pedotransfer functions for predicting hydraulic parameters of van Genuchten model by incorporating environmental variables on the Qinghai-Tibet Plateau".SOIL & TILLAGE RESEARCH 236(2024):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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