Analysis of the Interaction between Lake and Groundwater Based on Water-Salt Balance Method and Stable Isotopic Characteristics

Int J Environ Res Public Health. 2022 Sep 26;19(19):12202. doi: 10.3390/ijerph191912202.

Abstract

To better protect lacustrine ecologies and understand the evolutionary process of lake environments, it is critical to study the interacting mechanisms between lakes and the surrounding groundwater. The Wuliangsu Lake watershed is the largest wetland in the Yellow River basin and is the discharge area of the Hetao Irrigation District (HID), which is one of the three largest agricultural production areas in China. Due to the influence of human activities, the discharge water from the HID has led to the deterioration of the Wuliangsu Lake ecology and the degradation of the lake environment. Based on long-term observation data and water sampling data collected in 2021, a water-salt equilibrium model was used to analyze the recharge rate of groundwater to the lake. The contribution rate of groundwater to lake recharge in the study area was calculated with a Bayesian mixing model by combining D and 18O stable isotope data. Furthermore, the environmental evolutionary process of the lake was also analyzed using the collected water quality data. The results show that channel drainage was the main source of recharge to Wuliangsu Lake, accounting for more than 75%, while groundwater contributed less than 5% of lake recharge. After implementing the ecological water supplement plan, the concentration of various ions in the lake decreased, the concentration of the total dissolved solids (TDS) in the lake decreased from 1.7 g/L in 2016 to 1.28 g/L in 2021, and the ecological environment was improved. The contribution of groundwater to lake recharge was quantitatively analyzed. The results of this study can facilitate the development of vital strategies for preventing the further deterioration of lake water quality and for protecting wetland ecologies.

Keywords: Bayesian mixed model; stable isotope; surface water–groundwater interaction; water ecology; water–salt balance method.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • China
  • Environmental Monitoring / methods
  • Groundwater* / analysis
  • Humans
  • Isotopes / analysis
  • Lakes
  • Rivers
  • Sodium Chloride / analysis
  • Water Pollutants, Chemical* / analysis

Substances

  • Isotopes
  • Water Pollutants, Chemical
  • Sodium Chloride

Grants and funding

This research was funded by the National Key Research and Development Program of China (Grant No. 2019YFC0409201) and the National Natural Science Foundation of China (Grant No. 52179032&51879011).