Prediction of Root-Zone Soil Moisture and Evapotranspiration in Cropland Using HYDRUS-1D Model with Different Soil Hydrodynamic Parameter Schemes
文献类型：期刊论文
| 作者 | Liao, Qian-Yu2,3,4; Leng, Pei1; Li, Zhao-Liang2,4; Labed, Jelila2 |
| 刊名 | WATER
 |
| 出版日期 | 2025-03-01 |
| 卷号 | 17期号:5页码:730 |
| 关键词 | evapotranspiration root-zone soil moisture simulation soil hydrodynamic parameters AmeriFlux |
| DOI | 10.3390/w17050730 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | This study provides a comprehensive assessment of the HYDRUS-1D model for predicting root-zone soil moisture (RZSM) and evapotranspiration (ET). It evaluates different soil hydrodynamic parameter (SHP) schemes-soil type-based, soil texture-based, and inverse solution-under varying cropping systems (Zea mays-Glycine max rotation and continuous Zea mays) and moisture conditions (irrigated and rainfed), aiming to understand water transport across different cultivation patterns. Using field measurements from 2002, the SHPs were optimized for each scheme and applied to predict RZSM and ET from 2003 to 2007. The inverse solution scheme produced nearly unbiased RZSM predictions with a root mean square error (RMSE) of 0.011 m3m-3, compared to RMSEs of 0.036 m3m-3 and 0.042 m3m-3 for the soil type-based and soil texture-based schemes, respectively. For ET predictions, comparable accuracy was achieved, with RMSEs of 66.4 Wm-2, 69.5 Wm-2, and 68.2 Wm-2 across the three schemes. RZSM prediction accuracy declined over time in the continuous Zea mays field for all schemes, while systematic errors predominated in the Zea mays-Glycine max rotation field. ET accuracy trends mirrored RZSM in irrigated systems but diverged in rainfed croplands due to the decoupling of ET and RZSM under arid conditions. |
| URL标识 | 查看原文 |
| WOS关键词 | HYDRAULIC CONDUCTIVITY ; AGRICULTURAL DROUGHT ; GROWTH ; PHENOLOGY ; MAIZE ; INDEX |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001442246100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213296]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Leng, Pei |
| 作者单位 | 1.Chinese Acad Agr Sci, State Key Lab Efficient Utilizat Arable Land China, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 2.Univ Strasbourg, CNRS, ICube, 300 Blvd Sebastien Brant,CS10413, F-67412 Illkirch Graffenstaden, France; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Liao, Qian-Yu,Leng, Pei,Li, Zhao-Liang,et al. Prediction of Root-Zone Soil Moisture and Evapotranspiration in Cropland Using HYDRUS-1D Model with Different Soil Hydrodynamic Parameter Schemes[J]. WATER,2025,17(5):730. |
| APA | Liao, Qian-Yu,Leng, Pei,Li, Zhao-Liang,&Labed, Jelila.(2025).Prediction of Root-Zone Soil Moisture and Evapotranspiration in Cropland Using HYDRUS-1D Model with Different Soil Hydrodynamic Parameter Schemes.WATER,17(5),730. |
| MLA | Liao, Qian-Yu,et al."Prediction of Root-Zone Soil Moisture and Evapotranspiration in Cropland Using HYDRUS-1D Model with Different Soil Hydrodynamic Parameter Schemes".WATER 17.5(2025):730. |
入库方式： OAI收割
来源：地理科学与资源研究所
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