GroMoPo Metadata for Qaidam Basin MODFLOW model

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.

在数据匮乏区域，由于水文地质资料不足，数值地下水模型往往存在一定不确定性。本文以柴达木盆地那棱格勒河流域这一典型数据匮乏区域为研究对象，采用嵌套模型与多指标校准方法，提升该区域数值地下水模型的可靠性。以该重点研究区为依托，在相对完整的水文地质单元内构建区域三维地下水流模型；针对那棱格勒冲洪积扇的区域数值地下水模型，本文提出一套涵盖地下水拟合误差、地下水动态趋势、泉水流量、溢出带位置及地下水均衡状态的多维度校准指标体系用于模型校准。以区域地下水模拟结果为约束条件，进一步构建局域尺度地下水模型并开展水文地质参数研究，以提升该数据匮乏区域地下水模拟的精度与可靠性。