An analysis of precipitation chemistry data in China with genetic neural network
Bai Naibin · Acta Scientiae Circumstantiae · 2000
data of precipitation chemistry in China which contained the concentrations of eight ions such as Ca 2+ \,Mg 2+ \,K\++\,Na\++\,NH\-4\++\,SO\-4\+\{2-\}\,NO\-3\+- Cl\+- and the pH values were collected.Based on these data,some BP neural network models that correlated the concentrations of these ions and pH values were built by genetic neural networks (GNN).By these models the contribution to the pH of each ion concentration was given out results indicated that the difference on ability for the soil particle to neutralize acidity of the precipitation is a very important reason of acid rain distribution in China.