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GroMoPo Metadata for Qaidam Basin MODFLOW model


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Created: Feb 08, 2023 at 5 a.m.
Last updated: Feb 08, 2023 at 5 a.m.
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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.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
China
North Latitude
37.1071°
East Longitude
93.0650°
South Latitude
36.8849°
West Longitude
92.7881°

Content

Additional Metadata

Name Value
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

GroMoPo, S. Ruzzante (2023). GroMoPo Metadata for Qaidam Basin MODFLOW model, HydroShare, http://www.hydroshare.org/resource/c762404535b94d409c86ac04f441bf32

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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