Development of spatially varying groundwater-drawdown functions for land subsidence estimation
| dc.contributor.author | Chu, Hone-Jay | en |
| dc.contributor.author | Ali, Muhammad Zeeshan | en |
| dc.contributor.author | Tatas | en |
| dc.contributor.author | Burbey, Thomas J. | en |
| dc.date.accessioned | 2022-04-21T12:32:52Z | en |
| dc.date.available | 2022-04-21T12:32:52Z | en |
| dc.date.issued | 2021-06 | en |
| dc.description.abstract | Study region: Choshui River alluvial fan, Taiwan. Study focus: Land subsidence caused by groundwater overexploitation is a critical global problem. The spatial distribution of land subsidence is crucial for effective environmental management and land planning in subsidence prone areas. Because of the nonlinear relationship between subsidence and drawdown due to groundwater exploitation in heterogeneous aquifers, a spatial regression (SR) model is developed to effectively estimate nonlinear and spatially varying land subsidence. Considering various data inputs in the Choshui River alluvial fan, the SR model offers a robust method for accurately estimating the spatial patterns of subsidence using only drawdown as input data. New hydrological insights for the region: Without requiring extensive calibration or an elaborate numerical groundwater flow and subsidence model, the model provides annual subsidence patterns using a spatially varying relationship between drawdown and resulting land subsidence. Results show that the largest water-level cone of depression occurs in the distal fan area. Nonetheless, the calculated subsidence bowl closely approximates the observed one located much farther inland. The root-mean-square-errors (RMSEs) of annual subsidence is less or equal to 0.76 cm for the SR. Results indicate that the SR model reasonably estimates the spatial distribution of the skeletal storage coefficient in the aquifer system. The large coefficient that represents high potential of inelastic compaction occurs in the southern inland area, whereas the small coefficient that represents elastic compaction occurs in the northern area and proximal fan. Furthermore, this method can be used efficiently for subsidence management/ regulation and might be widely used for subsidence estimation solely based on drawdown. | en |
| dc.description.notes | The authors thank the MOST in Taiwan for their financial support (1052621M006011) . The authors also thank Authorea which currently supports the transfer of preprints directly to journals, making the process to submit the work for peer review simpler. Furthermore, the authors would like to thank the editors and anonymous reviewers for providing suggestions of paper improvement. | en |
| dc.description.sponsorship | MOST in Taiwan [1052621M006011] | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1016/j.ejrh.2021.100808 | en |
| dc.identifier.eissn | 2214-5818 | en |
| dc.identifier.other | 100808 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/109717 | en |
| dc.identifier.volume | 35 | en |
| dc.language.iso | en | en |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.subject | Subsidence estimation | en |
| dc.subject | Spatial regression | en |
| dc.subject | Drawdown | en |
| dc.subject | Groundwater | en |
| dc.title | Development of spatially varying groundwater-drawdown functions for land subsidence estimation | en |
| dc.title.serial | Journal of Hydrology-Regional Studies | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 1-s2.0-S2214581821000379-main.pdf
- Size:
- 6.28 MB
- Format:
- Adobe Portable Document Format
- Description:
- Published version