首页    期刊浏览 2025年02月18日 星期二
登录注册

文章基本信息

  • 标题:A Multivariate Technique to Develop Hybrid Water Quality Index of the Bengawan Solo River, Indonesia
  • 本地全文:下载
  • 作者:Evellin Dewi Lusiana ; Mohammad Mahmudi ; Sarah Mega Hutahaean
  • 期刊名称:Inżynieria Ekologiczna
  • 印刷版ISSN:2081-139X
  • 电子版ISSN:2392-0629
  • 出版年度:2022
  • 卷号:23
  • 期号:2
  • 页码:123-131
  • DOI:10.12911/22998993/144420
  • 语种:English
  • 出版社:Polish Society of Ecological Engineering (PTIE)
  • 摘要:Surface water resource, such as river, is constantly contaminated by domestic and industrial pollutants. In order to properly manage the water resource, a composite index for water quality assessment, such as water quality index (WQI), has been designed to monitor and evaluate the properties of surface water. However, this index is quite subjective in terms of determination of relative weights. A principal component analysis (PCA) can be used to reduce the dimension and subjectivity of water quality variables. The purpose of this study was to implement the use of hybrid PCA and WQI methods to assess and monitor the water quality of the Bengawan Solo River, which is located in Java Island, Indonesia. The result suggested that COD, BOD, TSS, TDS, nitrate, nitrite, and ammonia were the main factors that determine water quality of the Bengawan Solo River. Furthermore, it was revealed that most samples from the river showed water quality status as slightly polluted. In addition to this, the seasonal variation of the PCWI values indicated a significant increase of water pollution in the Bengawan Solo River per year.
  • 关键词:principal component analysis ;WQI ;variable selection ;water quality assessment
国家哲学社会科学文献中心版权所有