Figures & data
Table 1. Geological conditions at the Horonobe boreholes and the Niigata observation wells.
Table 2. Water qualities and concentrations of DOM and HS in the groundwater at the Horonobe boreholes and Niigata observation wells.
Figure 2. Relationships between the HS proportion (%HS) and the dilution factor (fd) in the different groundwater samples.
![Figure 2. Relationships between the HS proportion (%HS) and the dilution factor (fd) in the different groundwater samples.](/cms/asset/2f7e4736-673b-485b-8fd0-41608526a7dc/tnst_a_1688730_f0002_b.gif)
Figure 3. Relationships between CDOM and CHS in the groundwater at the Horonobe boreholes and Niigata observation wells and the result of the linear regression analysis.
![Figure 3. Relationships between CDOM and CHS in the groundwater at the Horonobe boreholes and Niigata observation wells and the result of the linear regression analysis.](/cms/asset/7a98ab96-9d4e-4b22-93e3-614fccde512f/tnst_a_1688730_f0003_b.gif)
Figure 4. Comparisons between the %HS measured by the carbon concentration-based DAX-8 resin isolation technique and the constant %HS defined as the slope of the regression analysis. The constant %HS from the literatures was calculated by the linear regression analysis as an intercept of zero. , where n is a number of sample. yobs,i and ypred,i arethe experimentally determined and predicted %HS (i.e. the slope of the linear regression), respectively.
![Figure 4. Comparisons between the %HS measured by the carbon concentration-based DAX-8 resin isolation technique and the constant %HS defined as the slope of the regression analysis. The constant %HS from the literatures was calculated by the linear regression analysis as an intercept of zero. RMSE= 1n∑iyobs,i−ypred,i2, where n is a number of sample. yobs,i and ypred,i arethe experimentally determined and predicted %HS (i.e. the slope of the linear regression), respectively.](/cms/asset/8693491c-25e0-47ed-9643-bd7d314297e2/tnst_a_1688730_f0004_b.gif)