Abstract
Drought has been one of the most ominous natural hazards for the last century. However, it is a big challenge to identify the progression of drought, because, unlike other natural disasters, its progress is very slow. This study examined the impact of climate change on drought-related hydro-meteorological variables (precipitation, soil moisture, and streamflow) and drought propagation from meteorological to agricultural and hydrological drought based on the emission scenario representative concentration pathway (RCP) 8.5. The multi-model ensemble (MME) projection of five general circulation models (GCMs) was made, and Sen's slope test was used to identify the trend embedded in the hydro-meteorological variables. Drought characteristics (duration, severity, and frequency) of meteorological, agricultural, and hydrological drought were also investigated spatially and temporally under the climate change scenario. A probabilistic graphical model (PGM) was used to estimate the propagation probability of different states of meteorological drought to agricultural and hydrological droughts, whereas the joint propagation probability of meteorological and agricultural drought to hydrological drought was investigated in the Nakdong River basin of South Korea. The drought characteristics (duration and severity) of meteorological, agricultural, and hydrological drought were projected to increase across the basin, except for the north and northwestern parts, for the period of 2021 to 2060, whereas drought frequency was projected to increase in the whole basin in all future periods. The results of drought propagation showed that the propagation probability of severe and extreme states of meteorological drought resulting in severe and extreme states of agricultural and hydrological drought ranged from 0.36–0.57 and 0.48–0.72, respectively; whereas the propagation probability of severe and extreme states of agricultural drought resulting in severe and extreme states of hydrological drought varied from 0.26–0.42 on average. The joint propagation probability of severe and extreme states of meteorological and agricultural droughts given severe and extreme states of hydrological drought ranged from 0.49–0.83 on average. The results of this study provide valuable information for drought-associated decision-making and will be helpful in management and restoration of wetlands; however, it is necessary to keep in mind that our findings depend on emission scenario.
Original language | English |
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Article number | 105799 |
Journal | Ecological Engineering |
Volume | 149 |
Early online date | 27 Mar 2020 |
DOIs | |
Publication status | Published - 15 Apr 2020 |
Externally published | Yes |
Bibliographical note
Funding Information:This work was supported by the Korea Environment Industry & Technology Institute (KEITI) through the Advanced Water Management Research Program , funded by the Korea Ministry of Environment (MOE) ( 83070 ). The first author would like to thank the Higher Education Commission (HEC) and Government of Pakistan for the scholarship under their project “HRD Initiative-MS leading to Ph.D. program of faculty development for UESTPS, Phase-1, and Batch-V for Hanyang University, South Korea”.
Publisher Copyright:
© 2020 Elsevier B.V.
Keywords
- Climate change
- Drought propagation
- Multi-model ensemble
- Probabilistic graphical model
ASJC Scopus subject areas
- Environmental Engineering
- Nature and Landscape Conservation
- Management, Monitoring, Policy and Law