We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Spatio-temporal analysis of the Brantas river water quality status by using principal component weighted index (PCWI)
Summary
Researchers applied principal component analysis and a weighted water quality index to evaluate the spatial and temporal water quality of the Brantas River in Indonesia. The study identified pollution hotspots linked to domestic and industrial activity along the river. This type of integrated water quality monitoring is essential for detecting emerging contaminants including microplastics in river systems.
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.
Sign in to start a discussion.
More Papers Like This
Correlation of Microplastic Size Distribution and Water Quality Parameters in the Upstream Brantas River
Researchers surveyed microplastic abundance and size distribution in the upstream Brantas River in Indonesia and analyzed correlations with water quality parameters, finding that smaller microplastic fragments were most prevalent and that microplastic levels related to several water quality indicators. The study contributes baseline data for managing plastic pollution in Indonesian river systems.
Assessment of Pollution Status in Brunei River Using Water Quality Indices, Brunei Darussalam
This paper is not about microplastics; it uses water quality indices and statistical analysis to assess pollution in the Brunei River from urban, agricultural, and industrial runoff.
Identifying the distribution and source of riverine plastic waste contamination: case study of Brantas River in Malang city
Researchers investigated microplastic concentrations and macroinvertebrate communities at three stations along the Brantas River in Malang City, Indonesia, integrating microplastic counts, SIGNAL-2 bioassessment scores, and household waste management surveys. The highest microplastic burden and lowest macroinvertebrate diversity occurred at the station where 80% of residents disposed of plastic waste directly into the river.
Assessment of stream quality and health risks in Indonesian river systems: A social analysis and water quality index approach
Researchers assessed water quality in three Indonesian rivers used by local communities, finding microplastics — primarily polyethylene and polypropylene — alongside elevated levels of iron, lead, and manganese, with residents reporting rising rates of skin disease and diarrhea linked to polluted water use.
Analysis of Microplastic Contamination on Water and Sediment in the Brantas Subwatershed of the Malang Area
This Indonesian study (published in Bahasa Indonesia) analyzed microplastic contamination in both water and sediment of the Brantas River sub-watershed in the Malang area, one of the most important river systems in East Java. Microplastics were found in both water and sediment samples across sampling locations, with fibers being a dominant form. The Brantas River supports millions of people for drinking water and irrigation, making evidence of microplastic contamination in this system a significant public health and environmental concern.