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Article

Determination of humic substances in deep groundwater from sedimentary formations by the carbon concentration-based DAX-8 resin isolation technique

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Pages 380-387 | Received 18 Jul 2019, Accepted 11 Oct 2019, Published online: 11 Nov 2019

Figures & data

Table 1. Geological conditions at the Horonobe boreholes and the Niigata observation wells.

Figure 1. Sampling sites of the sedimentary groundwater.

Figure 1. Sampling sites of the sedimentary groundwater.

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.

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.

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= 1niyobs,iypred,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.

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.

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