Complexity research of regional groundwater depth series based on multiscale entropy: a case study of Jiangsanjiang Branch Bureau in China

To describe the complexity features of regional groundwater depth series, using Jiansanjiang Branch Bureau in China as an example, the complexity of monthly groundwater depth series were analyzed with the multiscale entropy (MSE) method and the complexity spatial distribution maps of 15 farms and their subarea were drawn by GIS technology. The results of this paper show that the complexities of monthly groundwater depth series have the following characteristics: southern area is the most complicated, middle area is the least complicated, northern area is in the middle of these two. Human production activities are the main driving factor causing complexity of regional groundwater depth series. The multi-dimensional variation of groundwater depth status can be reflected by the MSE method which is constant and accurate, and needs less data. The research achievements reveal the complexity and areal variation of local groundwater resources system, and provide the scientific basis for rationally utilizing and developing groundwater resources in Jiansanjiang Branch Bureau and even in the whole Sanjiang Plain in China.