Application of BP artificial neural network model in the evaluation of groundwater quality
Pan Jun;Liang Haitao;Yue Dandan;Zhao Lei;School of Municipal and Environmental Engineering,Shenyang Jianzhu University;
In order to evaluate the groundwater quality objectively,taking west Anshan mining district for example,the water quality of 14 groundwater monitoring points in the district using the method based on BP artificial neural network model was evaluated. Considering the barely seasonal changes of groundwater quality,the evaluation index system of groundwater was established taking total hardness of principal component,dissolved total solids,sulfate,chloride,iron and manganese,nitrate,fluoride and other indicators monitored in dry season water quality as evaluation factors,and compared with the evaluation results of fuzzy comprehensive evaluation method,the classification results were satisfactory.The evaluation results showed that the model was reasonable and generalization ability was good,and had good objectivity,universal property and practicability to the evaluation of groundwater quality. It could provide technical basis for water quality evaluation,and provide theoretical basis and reference for the relevant departments to control water quality.