期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 30, 期 8, 页码 19873-19889出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-23574-9
关键词
Phosphorus; Nonpoint source pollution; Load apportionment model; Groundwater; Surface runoff; Baseflow; Eutrophication
Increasing evidence suggests that groundwater can contain high dissolved phosphorus concentrations, contributing to potential pollution of surface waters. This study quantified contributions from different sources to riverine phosphorus pollution in an agricultural watershed in eastern China. The study found that groundwater could be a significant source of phosphorus pollution to rivers, emphasizing the importance of controlling groundwater pollution from agricultural lands.
Increasing evidence indicates that groundwater can contain high dissolved phosphorus (P) concentrations, thereby contributing as a potential pollution source for surface waters. However, limited quantitative knowledge is available concerning groundwater P fluxes to rivers. Based on monthly hydrochemical monitoring data for rivers and groundwater in 2017-2020, this study combined baseflow separation methods and a load apportionment model (LAM) to quantify contributions from point sources, surface runoff, and groundwater/subsurface runoff to riverine P pollution in a typical agricultural watershed of eastern China. In the studied Shuanggang River, most total P (TP) and dissolved P (DP) concentrations exceeded targeted water quality standards (i.e., TP <= 0.2 mg P L-1, DP <= 0.05 mg P L-1), with DP (76 +/- 20%) being the major riverine P form. Observed DP concentrations in groundwater were generally higher than those of river waters. There was a strong correlation between river and groundwater P concentrations, implying that groundwater might be a considerable P pollution source to rivers. The nonlinear reservoir algorithm estimated that baseflow/groundwater contributed 66-68% of monthly riverine water discharge on average, which was consistent with results estimated by an isotope-based sine-wave fitting method. The LAM incorporating point sources, surface runoff, and groundwater effectively predicted daily riverine TP [calibration: coefficient of determination (R-2) = 0.76-0.82, Nash-Sutcliffe Efficiency (NSE) = 0.61-0.77; validation: R-2 = 0.88-0.98, NSE = 0.54-0.64] and DP loads (calibration: R-2 = 0.73-0.84, NSE = 0.67-0.72; validation: R-2 = 0.88-0.97, NSE = 0.56-0.83). The LAM estimated point source, surface runoff, and groundwater contributions to riverine loads were 15-18%, 14-35%, and 46-70% for TP loads and 7-9%, 10-32%, and 59-82% for DP loads, respectively. Groundwater was the dominant riverine P source due to long-term accumulation of P from excess fertilizer and farmyard manure applications. The developed methodology provides an alternative method for quantifying P pollution loads from point sources, surface runoff, and groundwater to rivers. This study highlights the importance of controlling groundwater P pollution from agricultural lands to address riverine water quality objectives and further implies that decreasing fertilizer P application rates and utilizing legacy soil P for crop uptake are required to reduce groundwater P loads to rivers.
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