Title: | Drought propagation patterns under naturalized condition using daily hydrometeorological data |
Authors: | Li, J., Y. Guo, Y. Wang, S. Lu and X. Chen |
Year: | 2018 |
Journal: | Advances in Meteorology |
Volume (Issue): | |
Pages: | |
Article ID: | 2469156 |
DOI: | 10.1155/2018/2469156 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | drought assessment |
Secondary Application Category: | hydrologic assessment |
Watershed Description: | 44,600 km^2 Luanhe River, located in northeast China. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Abstract: | 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. ,e 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. ,e 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. ,ese results could provide valuable information for drought early warning and forecast. |
Language: | English |
Keywords: | |