Spatial Prediction of Quality Parameter in the Groundwater Environmental Simulation

摘要：

This study focuses on the possibility of applying the Back Propagation Neural Networks (BPNN) to predicting the spatial distribution of quality parameter in groundwater environmental simulation. The BPNN was firstly introduced into spatial prediction of groundwater quality parameter in Langfang city (China) and it was compared with ordinary Kriging (OK). The groundwater quality parameter such as chloride was selected for the study, the performance of the models was found to be very good. The results of the BPNN model application were that the regional prediction map of the optimal BPNN model could describe the spatial distribution situation of groundwater quality parameter and that the predictive validity of the BPNN model was better than that of ordinary Kriging. The result shows that the BPNN model is a reasonable and feasible method for spatial distribution of groundwater quality parameter in Langfang city (China).

关键词： BP neural network Environmental geology Ordinary kriging Groundwater Simulation variables Spatial variability Environment protection

作者: Jian Li Zheng Zhang Baoli An Shuchun Liu

作者单位: The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry Univ The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry Univ International Center for Research and Training on Seabuckthorn, Beijing 100038, China College of Science, Beijing Forestry University, Beijing 100083, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)

会议地点: 成都

会议语种:英文

页码: 487-491

在线出版日期: 2011-01-14（万方平台首次上网日期，不代表论文的发表时间）