Abstract
This research examines the time series relationship between the Comal Springs flow rate and the water level in the Edwards Aquifer (Well J-17). The empirical methodology utilizes threshold autoregression (TAR) and momentum-TAR models that allow for asymmetry in responses and adjustments to a disequilibrium in the long-run cointegrating relationship. Based on the results, an asymmetric error-correction model (AECM) is proposed to characterize the short-run and long-run dynamic relationship between spring flow and water level. The results have implications for the management of water resources, water demand, and ecosystems.
Original language | English (US) |
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Pages (from-to) | 1121-1129 |
Number of pages | 9 |
Journal | Journal of Applied Statistics |
Volume | 33 |
Issue number | 10 |
DOIs | |
State | Published - Dec 1 2006 |
Externally published | Yes |
Keywords
- Asymmetric adjustment
- Edwards Aquifer
- Spring flow
- Threshold cointegration
- Water level
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty