Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027578 |
A Systematic Approach to Hydrogeological Conceptual Model Testing, Combining Remote Sensing and Geophysical data | |
Trine Enemark; Luk Peeters; Dirk Mallants; Brady Flinchum; Okke Batelaan | |
2020-07-27 | |
发表期刊 | Water Resources Research
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出版年 | 2020 |
英文摘要 | Conceptual uncertainty is considered one of the major sources of uncertainty in groundwater flow modelling. Hypothesis testing is essential to increase system understanding by analyzing and refuting alternative conceptual models. We present a systematic approach to conceptual model testing aimed at finding an ensemble of conceptual understandings consistent with prior knowledge and observational data. This differs from the traditional approach of tuning the parameters of a single conceptual model to conform with the data through inversion. We apply this approach to a simplified hydrogeological characterization of the Wildman River area (Northern Territory, Australia) and evaluate the connectivity of sinkhole‐type depressions to groundwater. Alternative models are developed representing the process structure (i.e., different fluxes representing interactions between surface water and groundwater) and physical structure (i.e., different lithologies underlying the depressions) of the conceptual model of the depressions. Remote sensing data are used to test the process structure, while geophysical data are used to test the physical structure. Both data types are used to remove inconsistent models from an ensemble of 16 models and to update the probability of the remaining alternative conceptual models. Three out of five depressions that are used as a test case are conditionally confirmed to act as conduits for recharge, while for the last two depressions, the data is inconclusive. Although the framework is not directly prediction oriented, the testing of plausible conceptual models will ultimately lead to increased confidence of any groundwater model based on accepted posterior conceptualizations. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/286716 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Trine Enemark,Luk Peeters,Dirk Mallants,et al. A Systematic Approach to Hydrogeological Conceptual Model Testing, Combining Remote Sensing and Geophysical data[J]. Water Resources Research,2020. |
APA | Trine Enemark,Luk Peeters,Dirk Mallants,Brady Flinchum,&Okke Batelaan.(2020).A Systematic Approach to Hydrogeological Conceptual Model Testing, Combining Remote Sensing and Geophysical data.Water Resources Research. |
MLA | Trine Enemark,et al."A Systematic Approach to Hydrogeological Conceptual Model Testing, Combining Remote Sensing and Geophysical data".Water Resources Research (2020). |
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