摘要
在自然环境中,影响滩地水域的积泥量和含盐度的因素很多。作者根据1983年夏季在上海南汇东滩“三三”马路滩地收集到的原始资料,应用逐步回归分析方法进行动力因子分析,从中挑选出一批对滩地水域积泥量和含盐度有显著影响的因子,建立预报方程。方程表明,在滩地水域不同位置的积泥量和含盐度与邻近地区的波浪、潮流、潮位有着密切关系。上述分析均在APPLE-Ⅱ微机上完成.实践证明,应用逐步回归分析对本滩地水域进行动力因子分析是可行的。其结果可供科研和生产部门参考。
There are many power factors in natural environment affecting deposition quantity and salinity (DQS) in beach water area. On the basis of the initial
data gathered in summer of 1983 on 'San San Road' beach in Nanhui of Shanghai, the authors conducted a power factor analysis by using stepwise
regression analysis (SRA), and selected a group of principal factors which exert a powerful influence on DQS to create forecasting formulas. The formulas indicated that the DQS in different sites of the beach water area largely depended on the wave, tide current and tide height nearby. The analysis was completed by an Apple-Ⅱ microcomputor. All the activities have proved that applying SRA to the analysis of power factors would be
feasible. The results of computation could be used for scientific research and production departments.
出处
《东海海洋》
1989年第1期16-25,共10页
Donghai Marine Science
