衛星画像データによる水質分布解析へのファジィ回帰分析の適用と可能性分布図の作成

抄録

This paper presents the results of using the fuzzy regression model to analyze the water quality from satellite images. A case study has been conducted and the results of the fuzzy regression model have been compared with the correlation coefficient of the conventional statistical model. To draw the possibility distribution map of the water quality, a new method with the fuzzy level-slice is proposed in this paper.
It is shown by statistical analysis that the CCT count number of the remote sensing data has no relation to the water quality. However, the fuzzy regression analysis shows that the CCT count number is related to two parameters about the water quality. They are SS (Suspended Solid) and T-P (Total Phosphorus). Therefore, it is indicated that the fuzzy regression model is applicable to the analysis of the water quality.
The estimation map of the water quality for SS has been drawn by using the fuzzy level-slice method. It is shown that the pollution level of the estimation map corresponds with the forecasted range from the actual data of the water quality. It also becomes clear that the distribution of the pollution level on the estimation map corresponds with the knowledge of an expert in the investigation of the water quality. Therefore, it can be concluded that the fuzzy level-slice method is a useful technique for drawing the estimation map of the water quality.