The Interplay Between Factors Driving Non-Point Source Pollution in the Yangtze River Basin

on


Non-point source (NPS) pollution significantly impacts water quality and ecological balance in river basins. Recent research explores the Yangtze River Basin's pollution dynamics, offering critical insights for sustainable management.

Key Highlights:

  1. Estimation of Pollution Loads:

    • Total nitrogen (TN) loads range from 4.87 to 15.53 kg/ha, while total phosphorus (TP) loads vary between 0.18 and 0.51 kg/ha.
    • Tai Lake sub-basin exhibits the highest contributions of both TN and TP, predominantly from agricultural and urban lands.

  2. Advanced Modeling Techniques:

    • The Improved Export Coefficient Model (IECM) provides precise estimates by integrating precipitation and terrain impact factors.
    • Self-Organizing Maps (SOMs) identify correlations among NPS pollution drivers, offering enhanced data visualization for better decision-making.

  3. Correlation Insights:

    • High correlations observed between TN and TP loads, driven by land use and precipitation factors.
    • Substantial influence of agricultural, forest, and grassy lands, while barren lands and wetlands show minimal impact.

  4. Land Use and Pollution Dynamics:

    • Agricultural and urban areas contribute disproportionately to TN and TP pollution.
    • The Jinsha River sub-basin shows high nitrogen and phosphorus loads from grassy and desert lands.

  5. Spatial Patterns:

    • Precipitation is a key driver of pollutant dispersion, with higher values clustering in central areas of the SOM topology.

This research underscores the necessity for integrated land management and targeted interventions to mitigate NPS pollution. By understanding the correlation between environmental factors and pollution levels, stakeholders can design more effective strategies for reducing ecological impacts.

DOI Link: https://dx.doi.org/10.61927/igmin258

Comments

Post a Comment