Integrating source apportionment and landscape patterns to capture nutrient variability across a typical urbanized watershed

Jin, Lu; Yan, Tao; Bai, Jinrong; Shen, Zhenyao

doi:10.1016/j.jenvman.2022.116559

Cited by 2 publications

(1 citation statement)

References 77 publications

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“…The North Canal River was taken as the study site, which is located in the megacity-region of Jing-Jin-Ji Urban Economic Circle including Beijing, Tianjin and Hebei Province, the most important urban agglomeration in northern part of China. In this region, more studies have focused on the impact of land use on a particular river water quality indicator and the distribution characteristics of pollution sources (Dai et al 2015, Liao et al 2022, Liu et al 2023. Liu et al (2018) studied the effect of landscape pattern on riverine nitrogen pollution sources and found that the interspersion and juxtaposition index of forest land was negatively related with nitrate.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study

Zhu

Chen

Wang

et al. 2023

Environ. Res. Commun.

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A comprehensive analysis of impacts of socio-economic development and land use on water quality is very useful for better planning and management of river basins by government. In this study, the North Canal River through a megacity-region of Beijing-Tianjin-Hebei Province in China was chosen to quantify impact of 10 socio-economic factors and 6 land use types on water quality in the watershed. The principal component regression (PCR) method was thus applied in this study to quantify effects of socio-economic development and land use types on river water quality through overcoming multicollinearity problems among influencing factors. Results showed that the water quality in the North Canal River improved significantly from serious pollution. Compared with 2010, the annual average pollution index (PI) of COD, NH3-N, TN, and TP decreased significantly in 2018, especially the PI of NH3-N decreased the most, from 8.62 in 2010 to <1 in 2018, implying that the concentration of NH3-N basically met the water quality assessment standard in 2018. The major water pollutant in the basin had shifted from NH3-N in 2010 to TN in 2018. The absolute impact coefficients of industrial restructuring, population density, upgraded municipal sewage treatment requirements (including sewage treatment rate and discharge standards of water pollutants for municipal WWTPs), and urbanization rate with COD, NH3-N and TP were higher than those of other factors, indicating that the impact of socio-economic factors on water quality was more significant than that of land use types, and the socio-economic factors may offset or alter the impact of land use on river water quality in areas disturbed by human activities.

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