Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China

Identification of critical source areas (CSAs) for non-point source (NPS) pollution is of great significance for environment governance and prevention. However, the CSAs are generally characterized as great spatial dispersion, and spatially heterogeneous precipitation has a great influence on the spatial distribution of nutrient yields. Therefore, we identify the CSAs for nutrient yields in an agricultural watershed of Northeast China at hydrological response units (HRUs) scale based on the Soil and Water Assessment Tool (SWAT), assess the impacts of spatially heterogeneity of precipitation on the identification of the CSAs, analyze the sensitivity of nutrient yields to precipitation by scenarios analysis method, and further identify priority management areas (PMAs) that have poor ability to retain nutrients. The results showed that the CSAs for nutrient yields identified by uniform precipitation showed greater fluctuation range and coverage area than actual precipitation; the major prevention areas of total nitrogen (TN) yield were mainly distributed in regions nearby main stem of lower reaches, while that of total phosphorus (TP) yield were mostly located in urban area nearby outlet of the watershed; the identification of the PMAs significantly decreased the CSAs for TN yield, whereas that for TP yield was no significant difference with the CSAs. This study could provide scientific guidance for the NPS pollution governance and prevention.

Automated summary

Identification of critical source areas (CSAs) for non-point source (NPS) pollution is crucial for environmental governance and prevention. This study used the Soil and Water Assessment Tool (SWAT) to identify the CSAs for nutrient yields in an agricultural watershed of Northeast China, and assessed the impact of spatially heterogenous precipitation on their identification. The results showed that CSAs identified by uniform precipitation fluctuated more and covered a larger area than actual precipitation. Additionally, priority management areas (PMAs) that have poor nutrient retention ability were also identified. This study provides scientific guidance for NPS pollution governance and prevention.