Influencing factors of nitrogen concentration in groundwater based on weights of evidence method
FENG Jing1, HE Huai-zhen2, DU Xin-qiang1
1. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, College of New Energy and Environment, Jilin University, Changchun 130021, China; 2. Heilongjiang Provincial Water Conservancy and Hydroelectric Power Investigation, Design and Research Institute, Haerbin 150001, China
Abstract：For the difficulty of identifying the primary factors controlling the nitrogen concentration in groundwater, this work firstly selected precipitation, land-use pattern, population density, soil organic matter content, thickness of clay layer, groundwater depth, aquifer thickness, and groundwater type as evidence factors and analyzed their influence on the distribution of the nitrogen concentration in groundwater, through a case study of the Songhua River-Naoli River Watershed in the Sanjiang Plain. Based on the Weights of Evidence (WofE) method, the separate prediction models for ammonia nitrogen and nitrate nitrogen were then established, which successfully predicted the concentrations of ammonia nitrogen and nitrate nitrogen in groundwater with the accuracy of 77.2% and 89.1%, respectively. The findings demonstrated the positive correlations among the nitrate nitrogen and ammonia nitrogen concentrations in groundwater and the precipitation as well as population density in the Sanjiang Plain. While the concentration of ammonia nitrogen responded positively to aquifer thickness, the concentration of nitrate nitrogen responded negatively, indicating that the redox environment of the aquifer had a significant impact on ammonia nitrogen while the nitrate nitrogen was more affected by the convection and dispersion in the aquifer. In addition, the concentrations of ammonia nitrogen and nitrate nitrogen in groundwater were found usually high in the studied residential area.
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FENG Jing, HE Huai-zhen, DU Xin-qiang. Influencing factors of nitrogen concentration in groundwater based on weights of evidence method. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(1): 153-163.
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