Correlation analysis between global climatic oscillation and river nutrients dynamics in an agricultural watershed based on wavelet approaches

As non-point sources pollution is mainly driven by terrestrial hydrological process, it is of great significance to study the relationship between global climate oscillation and watershed non-point sources pollution for further understanding the dynamics of river water quality from watersheds macro-perspective. In this work, the impacts and physical mechanisms of monthly Nino 3.4 sea surface temperature and South Oscillation Index on river nutrient pollution in an agricultural watershed of eastern China during 2003 to 2016 were analyzed using wavelet transform.