Abstract: Nitrate (NO₃^-) pollution in groundwater has become a serious environmental problem across the world. It is very important to determine the sources of nitrogen contamination in order to prevent and control NO₃^- pollution in groundwater. This is because the intake of polluted water can increase health risk of methemoglobinemia and cancer in both aquatic lives and humans. There has been an increasing trend in NO₃^- pollution in groundwater in the Lower Yellow River Irrigation Districts. Once groundwater is polluted by NO₃^-, recovery efforts can be very daunting. The effective control and management of NO₃^- pollution require accurate identification of the actual sources of pollution. In this paper, the sources of NO₃^- in groundwater in the Lower Yellow River Irrigation District (Panzhuang Irrigation District) were identified using stable isotopes (δ¹⁵N and δ¹⁸O) and the Bayesian model. The results showed that the range of NO₃^- concentrations in groundwater in the study area was 0.1-197.0 mg·L^-1, with a mean of 34.2 mg·L^-1. About 10% of the groundwater samples had NO₃^- concentration in excess of the maximal standard of nitrate level in drinking water in China (90 mg·L^-1). Samples were divided into three depths, including 0-30 m (shallow layer), 30-60 m (middle layer) and >60 m (deep layer). The average NO₃^- concentrations in shallow groundwater layer, middle layer and deep layer were 25.9 mg·L^-1, 39.7 mg·L^-1 and 20.1 mg·L^-1, respectively. There were high NO₃^- concentrations in groundwater across Ningjin County, Wucheng County, Pingyuan County and Yucheng City. The composition of δ¹⁵N was in the range of 0.72‰-23.93‰, with an average of 11.62‰. That of δ¹⁸O was 0.49‰-22.50‰, with an average of 8.46‰. The values of δ¹⁵N and δ¹⁸O indicated that NO₃^- in groundwater in the study area mainly originated from chemical fertilizers, manure and sewage. The contributions of the four sources of NO₃^- (precipitation, chemical fertilizer, soil, manure and sewage) were quantified and estimated using the Bayesian model. The results showed that manure and sewage contributed the most to the overall NO₃^- level, with a mean NO₃^- contribution ratio of 56.2%. Chemical fertilizer was the second contributor, with a mean NO₃^- contribution ratio of 19.3%. The mean NO₃^- contribution ratio of precipitation and soil was 6.2% and 12.3%, respectively. After identification of NO₃^- pollution levels and sources, measures were required to reduce NO₃^- pollution in groundwater. Based on this study, the necessary measures included the construction of sewage pipeline and improving the utilization rate of chemical fertilizers in order to reduce NO₃^- pollution and improve water quality.