| Summary: | 碩士 === 國立成功大學 === 資源工程學系碩博士班 === 98 === The effective assessment of regional water resource and management requires the exactly understanding of aquifer properties and hydrological parameters. This research uses water level changes and groundwater level changes to estimate the aquifer parameters. Thus, the correlation between the changes of groundwater level of aquifer and water level of river is the main indicator of river stage tomography. First, the cross-correlation analysis is used to discuss the parameter heterogenity of stratum between surface water and groundwater. Then, using a natural impulse source, the changes of water level, and the changes of groundwater level in the observation wells to conduct a grand-scale scanning. An inverse method goes with sequential successive linear estimator (SSLE) and information fusion technology to establish river stage tomography and to forecast the hydraulic conductivity in the space allocation of Cho-Shui river alluvial fan. This assesses the availability applied in the present situation.
In terms of the relationships of parameters between surface water and groundwater, cross-correlation is applied to analyze the hydraulic parameter of river water level and groundwater level so as to know the allocation in different river stage stations in Cho-Shui river alluvial fan. As for the various aquifer of different depth in each groundwater stations, the certain relations exist in each other. Among them, the correlation coefficient in the top of fan is lower than that in the center and bottom of fan. And the time-lag in the top of fan is higher than that in the center and bottom of fan. It is forecast that different hydrogeological conditions of aquifer in Cho-Shui river alluvial fan are the main reason for causing the different cross-correlations in the top, center and bottom of fan.
The results show that the values of hydraulic conductivity of using river stage tomography are higher than the observed data. This can exactly express the aquifer allocation of hydraulic conductivity in the existing land. Also, it helps understand the heterogeneous distribution of hydraulic conductivity in space.
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