Comparison of Interpolation Methods for Mapping Water Quality in Seloromo Reservoir
DOI:
https://doi.org/10.51264/inajl.v6i1.85Keywords:
Interpolation, Inverse distance weighting, Kriging, SplineAbstract
Spatial interpolation is GIS modeling to estimate the value of an unmeasured location point based on measurements at another location. However, research on choosing the best interpolation method for a sample to become a continuous map is still limited. The main objective of this study is to compare three interpolation methods to show the spatial distribution map of water quality in Seloromo Reservoir, Pati Regency. Water quality measurements in terms of pH, EC, and TDS parameters consist of 50 sample points for each parameter. Water sampling was conducted in February 2023 from morning to afternoon. The three interpolation methods include inverse distance weighting (IDW), Gaussian kriging (GK), and spline. The results show that each interpolation method used will result in different interpolation maps. The best interpolation method in this study is inverse distance weighting (IDW). The IDW method has the best R-Square (pH 0.824; EC 0.85; TDS 0.873) and RMSE (pH 0.146; EC 0.93; TDS 0.563) values compared to the other two methods. This research is limited to comparing the results of mapping water quality distribution.
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