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.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Assessment and Management of Ganga River Water Quality Using Multivariate Statistical Techniques in India

Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied for evaluation of spatial variations and interpretation of large complex water quality data set of the Ganga river basin, generated during one year (2013-2014) monitoring of eight water parameters at seven different sites. Hierarchical cluster analysis grouped seven sampling sites ...

متن کامل

Water Quality Assessment Using Water Quality Indicators and Multivariate Analyses of the Old Brahmaputra River

The study has been carried out to assess surface water quality of Old Brahmaputra River from September 2015 to March 2016. DO, BOD5, COD, pH, EC, Chloride, Alkalinity, and Hardness concentrations in water samples have been found to range within 0.66-2.9 mg/L, 21-138 mg/L, 45-250 mg/L, 7.1-7.8, 185-1080 uS/cm, 10-98 mg/L, 85-197 mg/L, and 84-148 mg/L, respectively. Multivariate statistical analy...

متن کامل

Water Quality Assessment Using Water Quality Indicators and Multivariate Analyses of the Old Brahmaputra River

The study has been carried out to assess surface water quality of Old Brahmaputra River from September 2015 to March 2016. DO, BOD5, COD, pH, EC, Chloride, Alkalinity, and Hardness concentrations in water samples have been found to range within 0.66-2.9 mg/L, 21-138 mg/L, 45-250 mg/L, 7.1-7.8, 185-1080 uS/cm, 10-98 mg/L, 85-197 mg/L, and 84-148 mg/L, respectively. Multivariate statistical analy...

متن کامل

Assessment of water quality in Hussainsagar lake and its inlet channels using multivariate statistical techniques

Application of different multivariate statistical approaches for the interpretation of data obtained during a monitoring programme of Hussainsagar Lake and its catchment area at Hyderabad (India) is presented in this study. The waste water coming from the catchment is being directly discharged in to the lake, forming point and non point sources of contamination of lake water. This study analyze...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Water

سال: 2021

ISSN: ['2073-4441']

DOI: https://doi.org/10.3390/w13212976