|Title:||Characterizing subsurface hydraulic heterogeneity of alluvial fan using riverstage fluctuations||Authors:||Wang Y.-L.; Yeh T.-C.J.; Wen J.-C.; Huang S.-Y.; Zha Y.; Tsai J.-P.; Hao Y.; Liang Y.
|Keywords:||Aquifers; Groundwater; Landforms; Tomography; Wavelet analysis; Aquifer heterogeneity; Cross correlations; Cross-correlation analysis; Hydraulic diffusivity; Hydraulic tomographies; River stages; Sediment distribution; Temporal characteristics; Groundwater resources; alluvial fan; contour map; diffusivity; groundwater; heterogeneity; hydraulic conductivity; hydraulics; precipitation (climatology); river flow; sediment transport; spatial distribution; streamflow; subsurface flow; tomography; water level; wavelet analysis; Taiwan; Zhuoshui River||Issue Date:||2017||Publisher:||Elsevier B.V.||Journal Volume:||547||Start page/Pages:||650-663||Source:||Journal of Hydrology||Abstract:||
The objective of this study is to demonstrate the ability of riverstage tomography to estimate 2-D spatial distribution of hydraulic diffusivity (D) of Zhuoshui River alluvial fan, Taiwan, using groundwater level data from 65 wells and stream stage data from 5 gauging stations. In order to accomplish this objective, wavelet analysis is first conducted to investigate the temporal characteristics of groundwater level, precipitation, and stream stage. The results of the analysis show that variations of groundwater level and stream stage are highly correlated over seasonal and annual periods while that between precipitation is less significant. Subsequently, spatial cross-correlation between seasonal variations of groundwater level and riverstage data is analyzed. It is found that the correlation contour map reflects the pattern of sediment distribution of the fan. This finding is further substantiated by the cross-correlation analysis using both noisy and noise-free groundwater and riverstage data of a synthetic aquifer, where aquifer heterogeneity is known exactly. The ability of riverstage tomography is then tested with these synthetic data sets to estimate D distribution. Finally, the riverstage tomography is applied to the alluvial fan. The results of the application reveal that the apex and southeast of the alluvial fan are regions with relatively high D and the D values gradually decrease toward the shoreline of the fan. In addition, D at northern alluvial fan is slightly larger than that at southern. These findings are consistent with the geologic evolution of this alluvial fan. © 2017
|Appears in Collections:||生物環境系統工程學系|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.