کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5770910 | 1629903 | 2017 | 10 صفحه PDF | دانلود رایگان |
- Integrate GRACE data and Budyko model for quantifying annual water balance in a large-scale irrigation region.
- Reconstruct annual terrestrial water storage change in the Punjab province of Pakistan from 1980 to 2015.
- Evaluate the long-term groundwater depletion rate in Punjab.
A two-parameter annual water balance model was developed for reconstructing annual terrestrial water storage change (ÎTWS) and groundwater storage change (ÎGWS). The model was integrated with the Gravity Recovery and Climate Experiment (GRACE) data and applied to the Punjab province in Pakistan for reconstructing ÎTWS and ÎGWS during 1980-2015 based on multiple input data sources. Model parameters were estimated through minimizing the root-mean-square error between the Budyko-modeled and GRACE-derived ÎTWS during 2003-2015. The correlation of ensemble means between Budyko-modeled and GRACE-derived ÎTWS is 0.68 with p-value <0.05. The ÎGWS was reconstructed by subtracting soil moisture storage change from the Budyko-modeled ÎTWS and was validated (i.e., r = 0.74, p-value < 0.05) against well observations during the pre-GRACE period (i.e., 1985-1994). The negative values of the cumulative sum of the reconstructed ÎGWS during 1980-2015 (i.e., â13.6 ± 9.7 cm) indicate that the aquifer in Punjab has experienced depletion. The estimated depletion rate is â0.3 ± 0.2 cm/year and it has a negative correlation (i.e., r = â0.70, p-value < 0.0001) with the total number of tube wells installed in Punjab. The integration of the developed Budyko model with GRACE data provides a new way for evaluating long-term groundwater depletion in large-scale irrigation regions with parsimonious models.
Journal: Journal of Hydrology - Volume 551, August 2017, Pages 397-406