[M-GI39] データ駆動地球惑星科学

[MGI39-P02] 地球化学プロセス抽出のためのフォーワードモデリングと逆解析：茨城県表層土壌の化学組成への適用

*桑谷 立¹、中村 謙吾²、赤穂 昭太郎³、駒井 武² (1.国立研究開発法人　海洋研究開発機構、2.東北大学環境科学研究科、3.国立研究開発法人　産業技術総合研究所)

キーワード：行列分解、データ駆動、土壌

This study aims to propose a framework based on forward modeling and inversion analysis to extract geochemical processes using matrix decomposition. Matrix decomposition methods, such as principal component analysis (PCA) and independent component analysis (ICA), can be used to extract processes from geochemical datasets across a wide range of geoscientific fields. However, it has still been only a heuristic approach; moreover, it is not well-understood whether the extracted basis vectors correspond to geological processes. In this study, in order to verify the effectiveness of the inversion analysis using matrix decomposition, we conducted synthetic-data analyses using artificial soil composition data that were generated by a simple forward model that simulates geochemical weathering. We also conducted a real-data analysis using soil composition data of ground surface in Ibaraki Prefecture, Japan. In the presentation, we will discuss geochemical processes for extracted basis vectors and try to quantitatively interpret them.