globalchange  > 气候减缓与适应
DOI: 10.1002/2017JD027448
Scopus记录号: 2-s2.0-85041085868
论文题名:
Nonparametric Integrated Agrometeorological Drought Monitoring: Model Development and Application
作者: Zhang Q.; Li Q.; Singh V.P.; Shi P.; Huang Q.; Sun P.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:1
起始页码: 73
结束页码: 88
语种: 英语
英文关键词: agricultural drought ; meteorological drought ; nonparametric drought monitoring method
Scopus关键词: agrometeorology ; drought ; evapotranspiration ; index method ; integrated approach ; model ; monitoring ; precipitation (climatology) ; probability ; soil moisture ; China
英文摘要: Drought is a major natural hazard that has massive impacts on the society. How to monitor drought is critical for its mitigation and early warning. This study proposed a modified version of the multivariate standardized drought index (MSDI) based on precipitation, evapotranspiration, and soil moisture, i.e., modified multivariate standardized drought index (MMSDI). This study also used nonparametric joint probability distribution analysis. Comparisons were done between standardized precipitation evapotranspiration index (SPEI), standardized soil moisture index (SSMI), MSDI, and MMSDI, and real-world observed drought regimes. Results indicated that MMSDI detected droughts that SPEI and/or SSMI failed to do. Also, MMSDI detected almost all droughts that were identified by SPEI and SSMI. Further, droughts detected by MMSDI were similar to real-world observed droughts in terms of drought intensity and drought-affected area. When compared to MMSDI, MSDI has the potential to overestimate drought intensity and drought-affected area across China, which should be attributed to exclusion of the evapotranspiration components from estimation of drought intensity. Therefore, MMSDI is proposed for drought monitoring that can detect agrometeorological droughts. Results of this study provide a framework for integrated drought monitoring in other regions of the world and can help to develop drought mitigation. ©2017. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114715
Appears in Collections:气候减缓与适应

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作者单位: Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, China; State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing, China; Faculty of Geographical Science, Academy of Disaster Reduction and Emergency Management, Ministry of Education/Ministry of Civil Affairs, Beijing Normal University, Beijing, China; Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou, China; Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, United States; College of Territorial Resource and Tourism, Anhui Normal University, Anhui, China

Recommended Citation:
Zhang Q.,Li Q.,Singh V.P.,et al. Nonparametric Integrated Agrometeorological Drought Monitoring: Model Development and Application[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(1)
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