Hydrogeochemical characteristics and nitrate distribution in groundwater in Weibei Plain, Northern China
Author:
Shi Long1, Wu Chu2, Pan Shibing2, Wang Nan1, Chen Weifan2
Affiliation:
1. Changchun Institute of Technology 2. China Institute of Water Resources and Hydropower Research
Abstract
Abstract
Nitrate pollution in groundwater has become an issue that cannot be overlooked, specifically in areas where there is intense agricultural groundwater extraction. This study focuses on the Weibei Plain, where 46 shallow groundwater monitoring wells were selected for sampling during the dry and wet seasons in 2016 and 2021. The purpose of this study was to analyze the regional groundwater hydrogeochemistry and investigate the temporal or spatial variation of nitrate content. The results demonstrated that the groundwater in the study area had a weakly alkaline nature. The hydrochemical composition of the groundwater shifted from being dominated by HCO3-Ca-Mg in 2016 to HCO3-Na and SO4-Cl-Ca-Mg in 2021. The hydrochemical characteristics were predominantly impacted by both rock weathering and cation exchange. The average concentration of nitrate in the 184 samples was 25.93 mg/L, surpassing the drinking water limit of 20 mg/L. A significant correlation was observed between NO3- and Cl- as well as SO42-. The areas with high nitrate concentrations were predominantly located in the groundwater depression cone and regions with intensive agricultural activities, indicating that human activities were the main contributors to nitrate pollution. Furthermore, the nitrate concentration was significantly higher during the wet season compared to the dry season. This could be attributed to rainfall intensifying the infiltration of nitrate from the soil into the groundwater. Furthermore, there was a substantial increase in nitrate concentration in 2021 compared to 2016. This increase was primarily ascribed to the excessive exploitation of groundwater for irrigated agriculture, leading to a considerable influx of nitrate into the groundwater.
Publisher
Research Square Platform LLC
Reference43 articles.
1. Abel, N., Li, P., Wang, Y., et al. 2022.Variation and multi-time series prediction of total hardness in groundwater of the Guanzhong Plain (China) using grey Markov model(J). Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-022-10585-9. 2. Adrian, D., Werner, M., Vincent, E., 2013. Post, Alexander Vandenbohede, Chunhui Lu, Behzad Ataie-Ashtiani, Craig T. Simmons, D.A. Barry, Seawater intrusion processes, investigation, and management: Recent advances and future challenges, Advances in Water Resources, Volume 51. 3. Angelopoulos, K., Spiliopoulos, I., Mandoulaki, A., Theodorakopoulou, A., Kouvelas, A., 2009. Groundwater nitrate pollution in the northern part of Achaia Prefecture, Desalination, Volume 248, Issues 1–3. https://doi.org/10.1016/j.desal.2008.11.007. 4. Soil and groundwater quality with reference to nitrate in a semiarid agricultural region;Brindha K;Arab J Geosci,2014 5. Nitrate distribution under the influence of seasonal hydrodynamic changes and human activities in Huixian karst wetland, South China;Chen J;Journal of Contaminant Hydrology,2020
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