Identifying diffused nitrate sources in a stream in an agricultural field using a dual isotopic approach

• DOI: 10.1016/j.scitotenv.2014.03.018
• Publication Date: 2014-03-28T22:35:21Z
• Authors: Jingtao Ding; Beidou Xi; Rutai Gao; Liansheng He; Hongliang Liu; Xuanli Dai; Yijun Yu
• Keywords: China; Nitrates; Nitrogen Isotopes; Agriculture; Bayes Theorem; Oxygen Isotopes; Wastewater; 15. Life on land; Nitrification; 01 natural sciences; 6. Clean water; Rivers; 13. Climate action; Water Pollution, Chemical; Seasons; Fertilizers; Groundwater; Water Pollutants, Chemical; Environmental Monitoring; 0105 earth and related environmental sciences

Nitrate (NO3(-)) pollution is a severe problem in aquatic systems in Taihu Lake Basin in China. A dual isotope approach (δ(15)NNO3(-) and δ(18)ONO3(-)) was applied to identify diffused NO3(-) inputs in a stream in an agricultural field at the basin in 2013. The site-specific isotopic characteristics of five NO3(-) sources (atmospheric deposition, AD; NO3(-) derived from soil organic matter nitrification, NS; NO3(-) derived from chemical fertilizer nitrification, NF; groundwater, GW; and manure and sewage, M&S) were identified. NO3(-) concentrations in the stream during the rainy season [mean±standard deviation (SD)=2.5±0.4mg/L] were lower than those during the dry season (mean±SD=4.0±0.5mg/L), whereas the δ(18)ONO3(-) values during the rainy season (mean±SD=+12.3±3.6‰) were higher than those during the dry season (mean±SD=+0.9±1.9‰). Both chemical and isotopic characteristics indicated that mixing with atmospheric NO3(-) resulted in the high δ(18)O values during the rainy season, whereas NS and M&S were the dominant NO3(-) sources during the dry season. A Bayesian model was used to determine the contribution of each NO3(-) source to total stream NO3(-). Results showed that reduced N nitrification in soil zones (including soil organic matter and fertilizer) was the main NO3(-) source throughout the year. M&S contributed more NO3(-) during the dry season (22.4%) than during the rainy season (17.8%). AD generated substantial amounts of NO3(-) in May (18.4%), June (29.8%), and July (24.5%). With the assessment of temporal variation of diffused NO3(-) sources in agricultural field, improved agricultural management practices can be implemented to protect the water resource and avoid further water quality deterioration in Taihu Lake Basin.