[Classification and Identification of Non-point Source Nitrogen Pollution in Surface Flow of the Shangwu River Watershed in the Qiandao Lake Region]

Ke Yu; Yan Yan; Zhang-Xuan Tang; Fang-Fang Zhang; Sheng-Jia He; Pei-Kun Jiang

doi:10.13227/j.hjkx.202207207

[Classification and Identification of Non-point Source Nitrogen Pollution in Surface Flow of the Shangwu River Watershed in the Qiandao Lake Region]

Huan Jing Ke Xue. 2023 Jul 8;44(7):3923-3932. doi: 10.13227/j.hjkx.202207207.

[Article in Chinese]

Authors

Ke Yu^{1

2}, Yan Yan¹, Zhang-Xuan Tang¹, Fang-Fang Zhang^{1

2}, Sheng-Jia He^{1

2}, Pei-Kun Jiang^{1

2}

Affiliations

¹ College of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou 311300, China.
² State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.

PMID: 37438291
DOI: 10.13227/j.hjkx.202207207

Abstract

Accurate quantification of non-point source pollution is an important step for non-point source pollution control and management at the watershed scale. Considering the non-point source pollution from baseflow, an improved export coefficient model (IECM) on a weekly scale was established based on the traditional export coefficient model (ECM), which was then used to estimate the surface flow non-point source total nitrogen (TN) loads contributed by different land use types of the Shangwu River watershed in the Qiandao Lake Region. The results showed that IECM performed well for the predictions of TN loads in the studied watershed, with the Nash-Sutcliffe efficiency coefficient (NSE) and R²values of 0.82 and 0.77 (P<0.01) for the calibration period and 0.87 and 0.84 (P<0.01) for the validation period, respectively. The IECM estimated TN exports through surface flow and baseflow were 5.74 kg·(hm²·a)^-1and 9.85 kg·(hm²·a)^-1 from the Shangwu River watershed in the period of Nov. 2020 to Oct. 2021, which accounted for 36.80% and 63.20% of the corresponding streamflow TN load, respectively. Without consideration of the baseflow non-point source TN pollution, the ECM-estimated surface flow TN loading was 54.21% higher than that estimated by IECM. Obviously, attributing baseflow non-point source pollution to surface flow directly would lead to a serious load overestimation of surface flow. According to IECM, the estimated TN export intensity through surface flow from paddy fields, grasslands, woodlands, rainfed croplands, and residential lands was 10.95, 5.42, 5.20, 12.34, and 2.77 kg·(hm²·a)^-1, respectively, which accounted for 5.80%, 4.00%, 26.55%, 0.38%, and 0.03% of the corresponding total streamflow TN loads. Therefore, the future management of non-point source nitrogen pollution in the studied watershed should focus mainly on the prevention and management of groundwater non-point source pollution and control of load export from surface flow on cultivated land (paddy fields and rainfed croplands).

Keywords: baseflow; digital filter; export coefficient model; nitrogen; non-point source.

Publication types

English Abstract