Papers by Author: Wei Li

Abstract: A reservoir model is developed to characterize the functioning of the karst aquifer of the Jinci Spring. It is based on the relationship of the groundwater storage deficit and the groundwater level. The relationship is derived from the monitoring data of the aquifer. The model is verified with the monitoring data (1981-2006) and is used to predict the recovery of the Jinci Spring flow and the groundwater level in the aquifer under three exploitation schemes with the future rainfall data provided by the National Climate Center (NCC). The results show that the Jinci Spring will flow out again before 2050 under Scheme I and II. The Xuan Spring will flow out earlier than the Jinci Spring. However, both of the two springs cannot spout under Scheme III. The model takes account of the artificial recharge, pumping and coal mine drainage, and can simulate the spring discharge, karst groundwater level and the storage deficit accurately at an annual time scale. The model is suitable for macroscopic groundwater management.

Abstract: China has to confront the groundwater resources crisis and the deterioration of groundwater environment. Reinforcing the studies on groundwater pollution source identification (GPSI) could be an important support to contamination removing, groundwater protecting, drinking water security, and development of society and economy. Exploring the new theory and method on GPSI could push the studies on ill-posed problems, and improve the techniques of contamination remediation. GPSI has been studied for thirty years, and a brief review is given to conclude the characteristics of GPSI problems. The mathematical simulation method can be classified into four types: optimization method, analytical and regression method, direct method, and stochastic method. A specific review of optimization approaches is given in this paper. The configuration, simulation procedures, common optimization algorithms used by the optimization methods are discussed in detail. Both non-heuristic and heuristic algorithm can be used to solve the PSI problem. The heuristic algorithm is more suitable for complex numerical and field cases, but it is time-consuming. The non-heuristic algorithm, especially the algorithm combined with analytical method, is time-economical, but is not suitable for complicated numerical and field tests. Further researches may focus on more complex GPSI problems, expressing physical chemistry and biological process, improving efficiency and model uncertainty of GPSI modeling.