Regional groundwater resources system complexity measurement based on the multi-scale entropy

YUE Guofeng;ZHANG Yongjia;LIU Dong;Heilongjiang Provincial Hydraulic Research Institute;School of Water Conservancy and Civil Engineering, Northeast Agricultural University;Heilongjiang Provincial Collaborative Innovation Center of Grain production Capacity Improvement, Northeast Agricultural University;

groundwater depth series;;complexity;;multi-scale entropy;;influencing factors

Taking Hongxinglong Administration in Heilongjiang province as an example, this paper computed the complexity measures of 12 years(2000-2011) monthly groundwater depth series in 12 stations, and analyzed the effects that local climatic factors and human activities have on groundwater depth based on the multiscale entropy(MSE). Results showed that the summations of sample entropy of each dimension of regional groundwater depth series in Farm Jiangchuan, Farm 597, Farm 852,Farm Baoshan were at theⅠ level, illustrating that the groundwater depth was difficult to predict. In Farm Youyi, Farm Hongqiling, Farm Raohe, Farm 291, Farm Beixing, Farm Shuguang and Farm Shuangyashan, the summations of sample entropy of each dimension were at the Ⅱ level, indicating that the difficulty of groundwater depth series prediction was medium. The summation of sample entropy ofeach dimension of regional groundwater depth series in Farm 853 was at the level Ⅲ, showing that the prediction in this area was easy. By analyzing the correlations between precipitation, the proportion of paddy area and groundwater depth series, could reach a conclusion that both of them have an important influence on groundwater depth. Research result revealed the temporal and spatial distribution characteristics of the complexity of regional groundwater depth, identified the potential influencing factors, and could provide a reference mode for complexity measuring in relevant research fields.