Preliminary study of soil permeability properties using principal component analysis

Global Colloquium on GeoSciences and Engineering 2017

Yulianti, M.^1 ; Sudriani, Y.^1 ; Rustini, H.A.^1

Research Center for Limnology, Indonesian Institute of Sciences (LIPI), Cibinong Science Center-Botanical Garden, Cibinong

16911, Indonesia^1

关键词: Empirical equations;    Irrigation waters;    Permeability model;    Permeability prediction;    Preliminary model;    Rainfall;    Runoff modelling;    Soil characteristics;    Strong correlation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/118/1/012029/pdf
DOI  :  10.1088/1755-1315/118/1/012029

来源: IOP

【 摘 要 】

Soil permeability measurement is undoubtedly important in carrying out soil-water research such as rainfall-runoff modelling, irrigation water distribution systems, etc. It is also known that acquiring reliable soil permeability data is rather laborious, time-consuming, and costly. Therefore, it is desirable to develop the prediction model. Several studies of empirical equations for predicting permeability have been undertaken by many researchers. These studies derived the models from areas which soil characteristics are different from Indonesian soil, which suggest a possibility that these permeability models are site-specific. The purpose of this study is to identify which soil parameters correspond strongly to soil permeability and propose a preliminary model for permeability prediction. Principal component analysis (PCA) was applied to 16 parameters analysed from 37 sites consist of 91 samples obtained from Batanghari Watershed. Findings indicated five variables that have strong correlation with soil permeability, and we recommend a preliminary permeability model, which is potential for further development.