Analysis of groundwater variation in the Jinci Spring area, Shanxi Province (China), under the influence of human activity

Environ Geochem Health. 2019 Apr;41(2):921-928. doi: 10.1007/s10653-018-0189-6. Epub 2018 Sep 17.

Abstract

Jinci Spring is one of the most famous karst spring in Northern China and is the main drinking and irrigation water source of Taiyuan city, Shanxi Province. It has special significance in terms of humanities and water resources. Because of the continuous over-exploitation of groundwater, the water level of groundwater has been decreased significantly. The flow of Jinci Spring has decreased year by year since the 1970s, and in 1994 it cut off completely. The flow cutoff has brought huge losses to the local economy and negatively impacted the ecological environment. From the hydrogeological conditions of Jinci Spring area to study, the dynamic change in karst groundwater level will provide a basis for the protection and rational exploitation of karst water in the spring area. The previous research on Jinci Spring area was limited to the spring flow and water level changes, lack of analysis to the overall spring area and the decay process of spring flow. This paper takes the overall spring area as research object. According to groundwater level data over 1961-2012, the period is divided into two phases of decline and recovery. Human activities in the region and corresponding groundwater evolution at various stages were systematically analyzed, and the reservoir capacity was calculated for each period of decline. The results show that the average reservoir capacity decreased from 920 (1954-1960) to 116 (1961-1977) to 31 (1978-1994) million m3. The important effect of "Water Resumption" project on groundwater in the area during the remediation period was also analyzed. In the light of observed increases in groundwater level during this stage, the project has a notably positive effect.

Keywords: Groundwater variation; Human activity; Jinci Spring area; Reservoir capacity.

MeSH terms

  • China
  • Environmental Monitoring / methods
  • Groundwater / analysis*
  • Seasons