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Source apportionment is critical for guiding development of efficient watershed nitrogen (N) pollution control measures.
The majority of N pollution mainly comes from agricultural fields, in particular during rice growing seasons.
Overall, our analysis suggests that careful implementation can cost-effectively mitigate N pollution.
These systems have been shown to decrease inorganic nitrogen (N) pollution and improve water quality.
The modified ReNuMa model is applicable for addressing long-term changes in riverine N sources, providing decision-makers with critical information for guiding watershed N pollution control strategies.
A quantitative understanding of riverine nitrogen (N) export in response to human activities and climate change is critical for developing effective watershed N pollution control measures.
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IK was then used to estimate the actual extent of nitrate-N pollution.
Thus, reducing the NH4 +-N pollution and remediating its contaminated environment are imperative.
Sixteen tailing samples were obtained from three REE mines with the severe NH4 +-N pollution in southern Jiangxi Province, China.
In other words, Gan-35 inoculation in the soils with NH4 +-N pollution contributes to the growth of Nepeta cataria.
The severe NH4 +-N pollution has induced many negative effects on the surrounding ecosystems and human health (Åström 2001).
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