CAJ | 학술논문

通过相关性数据处理和模糊聚类分析，对影响土壤环境腐蚀性的各种因素之间的相互关系进行了讨论．相关系数矩阵和聚类谱系图两者都表明，有些因素之间的相关性很大，有些相对独立．研究发现影响土壤环境腐蚀性的23项因素在相关系数大于0.8的情况下，可明显地聚为6类．这对石油沥青涂层管线土壤腐蚀性的深入研究，有一定的参考价值
통과상관성수거처리화모호취류분석，대영향토 양배경부식성적각충인소지간적상호관계진행료토론．상관계수구진화취류보계 도량자도표명，유사인소지간적상관성흔대，유사상대독립．연구발현영향토양 배경부식성적23항인소재상관계수대우0.8적정황하，가명현지취위6류． 저대석 유력청도층관선토양부식성적심입연구，유일정적삼고개치
By considering the data correlation and using the fuzzy cluster of pattern recognition, the relationship among varions corrosive factors of soil was investigated. Both the matrix of correlation coefficients and the pedigree of factor clusters show that some factors are correlated closely to each other, while others are relatively independent. The correlation coefficients are very high between the parameters such as organic substances and total nitrides, organic substances and microorganism total salts and conductivity,density and void volume etc. However, the @texrm{CO}32}, sulfur oxide bacterias etc., indicate much lower correlation coefficients with soil pH. And the 23 soil corrosive factors are clusterd into 6 distinct clusters under the correlation coefficient value above 0.8. The results of will be helpful to the further study on the soil corrosivity of petroleum asphalt coated pipe