摘要
全面收集了全国主要地区的降水化学数据（Ｃａ^（２＋）、Ｍｇ^（２＋）、Ｋ~＋、Ｎａ~＋、ＮＨ_４~＋、ＳＯ_４（~２－）、ＮＯ_３~－、Ｃｌ~－的浓度和ｐＨ值），并使用化学计量学的几种模型──相关矩阵聚类分析模型、主成份分析模型、模式识别模型、神经元网络模型，分别对这些降水化学数据进行了分析，从而确定了我国酸雨的类型及其影响因素．
From Chinese references(1980-1999), a lot of data of precipitation chemistry of China, such as the concentrations of Ca^(2+). Mg^(2+). K^+. Na^+. NH_4^+. SO_4^(2-). NO_3^-. Cl^- and pH, have been collected. A chemometrics analysis on the data were carried out by using several algorithm, including correlation matrix analysis, principal factor analysis, Pattern recognition and artificial neural network. then the type of acid rain of China and the relationship between pH values and above eight ion concentrations in the precipitation were discussed.
出处
《北京工业大学学报》
CAS
CSCD
2000年第2期90-95,共6页
Journal of Beijing University of Technology
基金
国家自然科学基金!49875026
