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Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data
Joint Authors
Li, Jianzhu
Guo, Yuangang
Wang, Yixuan
Lu, Shanlong
Chen, Xu
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-08
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Drought propagation pattern forms a basis for establishing drought monitoring and early warning.
Due to its regional disparity, it is necessary and significant to investigate the pattern of drought propagation in a specific region.
With the objective of improving understanding of drought propagation pattern in the Luanhe River basin, we first simulated soil moisture and streamflow in naturalized situation on daily time scale by using the Soil and Water Assessment Tool (SWAT) model.
The threshold level method was utilized in identifying drought events and drought characteristics.
Compared with meteorological drought, the number of drought events was less and duration was longer for agricultural and hydrological droughts.
The results showed that there were 3 types of drought propagation pattern: from meteorological drought to agricultural/hydrological drought (M-A/H), agricultural/hydrological drought without meteorological drought (NM-A/H), and meteorological drought only (M).
To explain the drought propagation pattern, possible driven factors were determined, and the relations between agricultural/hydrological drought and the driven factors were built using multiple regression models with the coefficients of determination of 0.4 and 0.656, respectively.
These results could provide valuable information for drought early warning and forecast.
American Psychological Association (APA)
Li, Jianzhu& Guo, Yuangang& Wang, Yixuan& Lu, Shanlong& Chen, Xu. 2018. Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1118660
Modern Language Association (MLA)
Li, Jianzhu…[et al.]. Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data. Advances in Meteorology No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1118660
American Medical Association (AMA)
Li, Jianzhu& Guo, Yuangang& Wang, Yixuan& Lu, Shanlong& Chen, Xu. Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1118660
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118660