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941.
Dongwei Sun Ning Luo Aaron Vandenhoff Wesley McCall Zhanfeng Zhao Chenxi Wang David L. Rudolph Walter A. Illman 《Ground water》2024,62(3):384-404
Significant efforts have been expended for improved characterization of hydraulic conductivity (K) and specific storage (Ss) to better understand groundwater flow and contaminant transport processes. Conventional methods including grain size analyses (GSA), permeameter, slug, and pumping tests have been utilized extensively, while Direct Push-based Hydraulic Profiling Tool (HPT) surveys have been developed to obtain high-resolution K estimates. Moreover, inverse modeling approaches based on geology-based zonations, and highly parameterized Hydraulic Tomography (HT) have also been advanced to map spatial variations of K and Ss between and beyond boreholes. While different methods are available, it is unclear which one yields K estimates that are most useful for high resolution predictions of groundwater flow. Therefore, the main objective of this study is to evaluate various K estimates at a highly heterogeneous field site obtained with three categories of characterization techniques including: (1) conventional methods (GSA, permeameter, and slug tests); (2) HPT surveys; and (3) inverse modeling based on geology-based zonations and highly parameterized approaches. The performance of each approach is first qualitatively analyzed by comparing K estimates to site geology. Then, steady-state and transient groundwater flow models are employed to quantitatively assess various K estimates by simulating pumping tests not used for parameter estimation. Results reveal that inverse modeling approaches yield the best drawdown predictions under both steady and transient conditions. In contrast, conventional methods and HPT surveys yield biased predictions. Based on our research, it appears that inverse modeling and data fusion are necessary steps in predicting accurate groundwater flow behavior. 相似文献
942.
This paper describes a set of MATLAB functions currently being developed for Space Based Augmentation System (SBAS) availability
analysis. This toolset includes simulation algorithms that are constantly being developed and updated by various working groups.
This set of functions is intended for use as a fast, accurate, and highly customizable experimental test bed for algorithm
development. A user-friendly interface has also been developed for the tool. It is open source and can be downloaded from
the Stanford GPS Research Laboratory web site (). Therefore, it provides a common ground for different working groups to compare their results. This paper demonstrates the
utility of this toolset by analyzing the SBAS service volume models for the Conterminous United States. The paper describes
the functionality provided within the software, and shows an example set of contour plots which are the means for investigating
how different algorithms and parameters impact availability. 相似文献
943.
Zhenfeng Shao Neema S.Sumari Aleksei Portnov Fanan Ujoh Walter Musakwa Paulo J.Mandela 《地球空间信息科学学报》2021,24(2):241-255
Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable development. Urbanizat... 相似文献