Water Quality Assessment and Potential Source Contribution Using Multivariate Statistical Techniques in Jinwi River Watershed, South Korea
نویسندگان
چکیده
To investigate the effects of rapid urbanization on water pollution, quality, daily unit area pollutant load, quality score, and real-time index for Jinwi River watershed were assessed. The contribution known pollution sources was identified using multivariate statistical analysis absolute principal component score-multiple linear regression. data collected during dry wet seasons to compare characteristics with varying precipitation levels flow rates. highest level is present in upstream areas Hwangguji Osan Streams. Most parameter values downstream after polluted rivers merged. results showed a dilution effect lower season. Conversely, load higher rainy season, indicating that pollutants increased as rate increased. A cluster parameters are quite different from values. Upstream an urban relatively high organic matter nutrient loads. sewage treatment facilities main sources. This study provides basic policymakers management.
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ژورنال
عنوان ژورنال: Water
سال: 2021
ISSN: ['2073-4441']
DOI: https://doi.org/10.3390/w13212976