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DOI10.1029/2020GL088553
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
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
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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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