%0 Journal Article
%T Distribution Model of Aluminum Species in Drinking Water Basing on the Reaction Kinetics<br>基于化学反应动力学的饮用水铝形态分布模型研究
%A WANG Wen-dong
%A YANG Hong-wei
%A WANG Xiao-chang
%A JIANG Jing
%A ZHU Wan-peng
%A JIANG Zhan-peng
%A <br>王文东
%A 杨宏伟
%A 王晓昌
%A 蒋晶
%A 祝万鹏
%A 蒋展鹏
%J 环境科学
%D 2010
%I 
%X The effects of excess aluminum on water distribution system and human health were mainly attributable to the presences of some aluminum species in drinking water. A prediction model for the concentrations of aluminum species was developed using three-layer front feedback artificial neural network method. Results showed that the reaction rates of both inorganic monomeric aluminum and soluble aluminum varied with reaction time and water quality parameters, such as water temperature, pH, total aluminum, fluoride, phosphate and silicate. Their reaction orders were both three. The reaction kinetic parameters of inorganic monomeric aluminum and soluble aluminum could be predicted effectively applying artificial neural network; the correlation coefficients of K and 1/c02 between calculated value and predicted value were both greater than 0.999. Aluminum species prediction results in the drinking water of City M showed that when the concentration of total aluminum was less than 0.05 mg·L-1, the relative prediction error was large for inorganic monomeric aluminum. When the concentration of total aluminum was above 0.05 mg·L-1, the model could predict inorganic monomeric aluminum and soluble aluminum concentrations effectively, with relative prediction errors of ±15% and ±10% respectively.
%K reaction kinetics
%K drinking water
%K aluminum species
%K artificial neural network
%K model<br>反应动力学
%K 饮用水
%K 铝形态
%K 人工神经网络
%K 模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=64CD0AA99DD39F69401C615B85F123EF&aid=66A8EE0039ACE337B5BB21C62963FE45&yid=140ECF96957D60B2&vid=4AD960B5AD2D111A&iid=E158A972A605785F&sid=816AB2919A4FEDD7&eid=7D89C25BE291E00C&journal_id=0250-3301&journal_name=环境科学&referenced_num=1&reference_num=6