Abstract
This research explores the relationship between hydrological drought and agricultural drought in the Corong River Basin, focusing on the Gondang Reservoir Irrigation Area, Indonesia. By employing a Causal Time Series Regression Model, the study uncovers that agricultural drought twelve months prior has a significant impact on current agricultural drought and is influenced by current hydrological drought. Time series regression analysis reveals that 45.86% of agricultural drought is influenced by hydrological drought, with 54.14% influenced by other factors besides rainfall. Further research is needed to investigate these additional factors. These findings have practical implications, serving as a valuable index for assessing drought severity and planning mitigation actions, especially in the irrigation areas of interest. They emphasize the importance of effective irrigation management, appropriate cropping patterns, and a comprehensive understanding of the complex characteristics of drought in agricultural regions through comprehensive monitoring efforts in agricultural drought mitigation.
| Original language | English |
|---|---|
| Pages (from-to) | 173-190 |
| Number of pages | 18 |
| Journal | Civil Engineering Dimension |
| Volume | 26 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Sept 2024 |
Keywords
- causal time series regression
- drought
- hydrological drought
- normalized difference drought index
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