Complexity Diagnosis of Regional Groundwater Resources System Based on Symbolic Dynamics

Abstract

With the development of an agricultural economy, agricultural water demand has increased. The increased demand has resulted in extremely unbalanced development and utilization of surface and groundwater and has seriously affected the sustainable development of a regional economic ecology. To understand the law covering the complex phenomena of groundwater systems, it is important to select the appropriate method to measure the complexity of groundwater resource systems. Previous analyses of regional groundwater resource systems had the shortcomings of ignoring the system complexity as well as difficulty to realize the importance in deed of scientific management of groundwater resources. The Jiansanjiang Administration research platform was used to detect the monthly depth series of groundwater complexity with an aim to determine the complexity of the series. The average complexity of groundwater table depth series of each subarea on a monthly basis by was determined adopting symbolic dynamics. The diagnostic analysis results showed that the complexity of monthly groundwater table depth series of each subarea of the Jiansanjiang Administration featured highest complexity in the northern area, lowest complexity in the middle area, and medium complexity in the southern area. Local agricultural production activities are the key driving factors of dynamic change of groundwater table depth. Compared with the traditional rescaled range (R/S) analysis fractal theory and wavelet entropy theory, they showed that the results of diagnostic analysis by symbolic dynamics have a higher degree of reasonableness, providing an effective method for the research on the complexity of regional hydrological processes. The research results have uncovered the evolution characteristic of complexity of the local groundwater depth, providing a scientific basis for partition management and sustainable utilization of regional groundwater resources. The goal of the research is the rational exploitation of Jiansanjiang groundwater. The study results reveal the complex spatial distribution pattern of local groundwater depth and provide scientific evidence for management and sustainable utilization of regional groundwater resources.