摘要
在阳极溶出伏安法获取Ｐｂ（Ⅱ）和富里酸的溶出电流和电位偏移数据的基础上采用一种新的全局优化方法──遗传算法模拟计算了水体中铅和富里酸的化学形态，对３种计算络合常数的方法进行了比较，误差分析的结果表明：对所研究的体系，电流迭代－遗传算法比电位偏移－遗传算法获得的结果更可靠。
Novel global optimization methods-genetic algorithms were used in simulation calculation of the chemical speciations of Pb(Ⅱ)in aqueous solution containing fulvic acid with stripping electric current and electric potential drift data from anodic stripping voltammetry. The comparisons of three methods for calculating reaction coefficient and error analysis indicated that electric current iterative-genetic algorithm is more reliable than electric potential drift-genetic algorithm for this system.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
1997年第5期543-547,共5页
Chinese Journal of Analytical Chemistry
基金
国家自然科学基金资助项目
