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Type: | Resource | |
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Created: | Feb 08, 2023 at 5 a.m. | |
Last updated: | Feb 08, 2023 at 5 a.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 533 |
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Abstract
In data-sparse areas, due to the lack of hydrogeological data, numerical groundwater models have some uncertainties. In this paper, a nested model and a multi-index calibration method are used to improve the reliability of a numerical groundwater model in a data-sparse region, the Nalinggele River catchment in the Qaidam Basin. Referencing this key study area, a regional three-dimensional groundwater flow model is developed in a relatively complete hydrogeological unit. A complex set of calibration indices, including groundwater fitting errors, dynamic groundwater trends, spring discharges, overflow zone location, and groundwater budget status, are proposed to calibrate the regional numerical groundwater model in the Nalinggele alluvial-proluvial fan. Constrained by regional groundwater modeling results, a local-scale groundwater model is developed, and the hydrogeological parameters are investigated to improve modeling accuracy and reliability in this data-sparse region.
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Additional Metadata
Name | Value |
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DOI | 10.3390/w10030289 |
Depth | |
Scale | 1 001 - 10 000 km² |
Layers | 2 |
Purpose | Groundwater resources |
GroMoPo_ID | 223 |
IsVerified | True |
Model Code | MODFLOW |
Model Link | https://doi.org/10.3390/w10030289 |
Model Time | 2010-2012 |
Model Year | 2018 |
Model Authors | Du, XQ; Lu, XQ; Hou, JW; Ye, XY |
Model Country | China |
Data Available | Report/paper only |
Developer Email | Duxq@jlu.edu.cn; luxq17@mails.jlu.edu.cn; jiawei.hou@anu.edu.au; Yexy@jlu.edu.cn |
Dominant Geology | Unconsolidated sediments |
Developer Country | Peoples R China; Australia |
Publication Title | Improving the Reliability of Numerical Groundwater Modeling in a Data-Sparse Region |
Original Developer | No |
Additional Information | |
Integration or Coupling | |
Evaluation or Calibration | Dynamic water levels;Nested regional and local models |
Geologic Data Availability | No |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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