A review of applications of fractional advection–dispersion equations for anomalous solute transport in surface and subsurface water. (11th May 2020)

• Record Type: Journal Article
• Authors: Sun, Liwei; Qiu, Han; Wu, Chuanhao; Niu, Jie; Hu, Bill X.
• Is Part Of: Wiley interdisciplinary reviews. Volume 7:Number 4(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-05-11
• Subjects: fractional advection–dispersion equation -- fractional in space -- fractional in time -- non‐Fickian -- transport; Hydrology -- Periodicals; 553.705
• DOI: 10.1002/wat2.1448
• Languages: English
• ISSNs: 2049-1948

Abstract

Abstract: Fractional advection–dispersion equations (FADEs) have been widely used in hydrological research to simulate the anomalous solute transport in surface and subsurface water. However, a large gap still exists between real‐world application (i.e., being a prediction tool) and theoretical FADEs. To better understand this disparity, the FADEs are firstly reviewed from the perspective of fractional‐in‐time and fractional‐in‐space, as well as the anomalous characteristics described by those functions. Then, challenges for the application of FADEs are summarized, including the theoretical gap of FADEs that needs multidisciplinary efforts to fill, extensive requirements for computation techniques and mathematical knowledge to apply the FADEs, the poor predictability for most parameters in the FADEs, and the limitations for collecting geologic information of flow fields. Then, some suggestions are given for future work, such as developing excellent code sets and mature simulation software with a friendly interface. This kind of work would alleviate the computation workload of hydrologists, especially those without coding expertise. Summarizing and determining the value ranges of the important parameters are needed (e.g., the order of the fractional derivative), through the extensive field, laboratory, and numerical experiments rather than blindly using their mathematical ranges. It is also needed to perform global sensitivity analysis for the FADEs. Meanwhile, comprehensive comparison work is necessary for suggesting a model suitable for a specific problem. Last but not least, further research is clearly needed to establish a link between nonlocal parameters and the heterogeneity property to develop more efficient fractional order partial differential equations. This article is categorized under: Science of Water > Methods Science of Water > Water Quality Abstract : A number of factors that can lead to non‐Fickian transport. The hyporheic zones, side pools, vegetation growth, fallen trees, and large stones in a river can trap contaminants and result in a heavy‐tailed breakthrough curve. The high permeability zones in an aquifer can lead to preference flow and to the early arrival of solutes.