Opis

• Tytuł:
  Spatio-temporal analysis of the Brantas river water quality status by using principal component weighted index (PCWI)
• Twórca:
  Lusiana, Evellin Dewi;
  Mahmudi, Mohammad;
  Musa, Muhammad;
  Primadhita, Maria Alfonsa Okta;
  Putra, Syahrijal;
  Silalahi, Jumpa Priodi;
  Sunadji, Sunadji;
  Buwono, Nanik Retno
• Opis:
  River, as one of the surface water resources, has faced many contaminations due to domestic and industrial activities in its surrounding, and thus routine water quality monitoring is required. This activity yields a large number of water quality characteristics that can be very useful to evaluate the status of river quality status. In this study, we integrated a statistical multivariate analysis such as Principal Component Analysis (PCA) and conventional Water Quality Index (WQI) measure to produce a data-driven composite index for water quality assessment. We implemented this technique to evaluate the status of Brantas River, the largest river in East Java Province-Indonesia, using a long-term dataset collected from 2012 to 2021. The study area was divided into three classes: upstream, midstream, and downstream. Results of the study suggested that the pollution level in the Brantas River fluctuates yearly. Meanwhile, the degree of contamination increased from upstream to downstream.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Prawa autorskie (c) 2023 Evellin Dewi Lusiana, Mohammad Mahmudi, Muhammad Musa, Maria Alfonsa Okta Primadhita, Syahrijal Putra, Jumpa Priodi Silalahi, Sunadji Sunadji, Nanik Retno Buwono;
  https://creativecommons.org/licenses/by-nd/4.0
• Data:
  2023.03.20
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Język:
  angielski
• Źródło:
  Ecological Questions; Vol. 34 No. 3 (2023); 1-16;
  Ecological Questions; Tom 34 Nr 3 (2023); 1-16;
  1644-7298
• Format:
  application/pdf
• Wydawca:
  Uniwersytet Mikołaja Kopernika w Toruniu
• Relacja: https://apcz.umk.pl/EQ/article/view/40898/35259
• Temat i słowa kluczowe:
  multivariate analysis;
  principal component analysis;
  surface water;
  water quality evaluation;
  WQI
• Identyfikator: https://apcz.umk.pl/EQ/article/view/40898
• Dostawca danych:
  Akademicka Platforma Czasopism
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