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DOI | 10.1029/2020GL088553 |
A Physical Agricultural Drought Index Based on Root Zone Water Availability: Model Development and Application | |
Liu M.; Sun A.Y. | |
发表日期 | 2020 |
ISSN | 0094-8276 |
卷号 | 47期号:22 |
英文摘要 | Physical agricultural drought indices generally use soil moisture to represent root-zone water availability (RZWA). The uncertainty in root-zone properties, especially in deep-rooting regions, may lead to significant uncertainty in the results. This study adopted a conceptual model that requires no specific root-zone properties to model the RZWA. A RZWA-based drought index (AgDI) was then developed by standardizing the root-zone water deficit. A comparison over 20 catchments with different terrain and vegetation demonstrated the effectiveness of AgDI in characterizing agricultural droughts, with the correlations between vegetation indices (normalized difference vegetation index [NDVI] and gross primary productivity [GPP]) and AgDI (mean ~0.54) being significantly higher than those between the same vegetation indices and the Palmer Drought Severity Index (PDSI, ~0.22), Standardized Precipitation-Evapotranspiration Index (SPEI, ~0.33), and Standardized Soil moisture Index (SSI, ~0.37). Compared to the SSI, the AgDI was not equally advantageous everywhere, but it generally showed better performance in deep-rooting regions. ©2020. American Geophysical Union. All Rights Reserved. |
英文关键词 | Agricultural robots; Agriculture; Catchments; Soil moisture; Vegetation; Agricultural drought; Different terrains; Gross primary productivity; Model development; Normalized difference vegetation index; Palmer drought severity indices; Soil moisture index; Water availability; Drought; catchment; index method; model test; NDVI; net primary production; rhizosphere; soil moisture; water availability |
语种 | 英语 |
来源期刊 | Geophysical Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/169399 |
作者单位 | Center for Water Resources and Environment, School of Civil Engineering, Sun Yat-sen University, Guangzhou, China; Guangdong Key Laboratory of Oceanic Civil Engineering, Guangzhou, China; Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, United States |
推荐引用方式 GB/T 7714 | Liu M.,Sun A.Y.. A Physical Agricultural Drought Index Based on Root Zone Water Availability: Model Development and Application[J],2020,47(22). |
APA | Liu M.,&Sun A.Y..(2020).A Physical Agricultural Drought Index Based on Root Zone Water Availability: Model Development and Application.Geophysical Research Letters,47(22). |
MLA | Liu M.,et al."A Physical Agricultural Drought Index Based on Root Zone Water Availability: Model Development and Application".Geophysical Research Letters 47.22(2020). |
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