Water quality assessment and pollution source analysis in Bukavu urban rivers of the Lake Kivu basin (Eastern Democratic Republic of Congo)

Bisimwa, Arthur Mubwebwe; Amisi, Fabrice Muvundja; Bamawa, Célestin Maando; Muhaya, Bamba Bukengu; Kankonda, Alidor Busanga

doi:10.1016/j.indic.2022.100183

Cited by 18 publications

(13 citation statements)

References 33 publications

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“…This suggests that the degree of contamination increased from upstream to downstream. Our findings are consistent with those of Bisimwa et al (2022), who discovered that the water quality of the Bukavu urban rivers in Kongo has degraded considerably from upstream to downstream, with high nutrient amounts that do not meet WHO quality standards for surface waters. Water quality in the downstream area tends to deteriorate for a variety of reasons.…”

Section: Spatio-temporal Assessment Of Pcwi In the Brantas Riversupporting

confidence: 92%

Spatio-temporal analysis of the Brantas river water quality status by using principal component weighted index (PCWI)

Lusiana

Mahmudi

Musa³

et al. 2023

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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.

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Section: Spatio-temporal Assessment Of Pcwi In the Brantas Riversupporting

confidence: 92%

Spatio-temporal analysis of the Brantas river water quality status by using principal component weighted index (PCWI)

Lusiana

Mahmudi

Musa³

et al. 2023

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“…In the watersheds studied in the present work, there are several industrial enterprises of small and medium size, of the textile and animal slaughtering types, which are known to contribute with high organic loads in their effluents. Thus, the picture outlined herein is not limited to the release of in natura domestic effluents into the river, but also industrial wastewater, as verified by Piratoba et al (2017) in Barcarena (PA), and Bisimwa et al (2022) in the Republic of Congo.…”

Section: Dry Seasonmentioning

confidence: 54%

“…As watercourses receive untreated domestic wastewater, lower pH values were expected due to the anaerobic degradation of organic matter (Che et al, 2020). Thus, as the pH values ranged from neutral to slightly basic, it may be indicative of the contribution of industrial wastewater in the region (Bisimwa et al, 2022). It is difficult to establish an immediate explanation for the pH behavior, as it is influenced by numerous factors, such as solids, dissolved gases, hardness, alkalinity, temperature, biotic factors, among others (Fritzsons et al, 2003).…”

Section: Dry Seasonmentioning

confidence: 99%

Water quality modeling in the Paraibuna River in Juiz de Fora/MG: diagnosis and prognosis

Dutra

Fia

Ribeiro

2022

Rev. Bras. Ciênc. Ambient.

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To support the implementation of instruments of the National Water Resources Policy, as well as the new legal framework for basic sanitation, the environmental assessment of water courses becomes important to guide the planning, monitoring and management of a watershed. Thus, this research aims to contribute to the creation of information structures about the Paraibuna River and its water basin in the central and more urbanized region of Juiz de Fora/MG. The QUAL2K model was used considering two different hydrological periods. The study considered water quality data for the following variables: dissolved oxygen, biochemical oxygen demand, temperature, electrical conductivity and pH. The flow rates in the Paraibuna River and its tributaries were quantified using an Acoustic Doppler Current Profile (ADCP) and a hydrometric windmill. With the calibrated model, future water quality scenarios were simulated for the moment when the new sewage treatment plants are operating at maximum capacity, in accordance with the Juiz de Fora’s Municipal Plan for Basic Sanitation Service. The results show that the Paraibuna River, in the central section of Juiz de Fora, provided data with reduced water quality, mainly in the dry season, leading us to conclude that the flow had a direct influence on the water quality. As for the simulated scenarios, we reached the conclusion that the best result obtained for the sewage treatment of the Paraibuna River will be achieved when the treatment conditions of scenario 3 are applied. This scenario includes the Wastewater Treatment Plants of União Indústria, Santa Luzia, and the renovation of the Wastewater Treatment Plant of Barbosa Laje, with an expected reduction of 90% of the polluting load in the streams covered by the present work, and a reduction of 50% of the organic load upstream of the section under study.

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“…Water polluted by sewage is not suitable as drinking water and for recreation (Some et al, 2021) . Good waste management is needed to reduce water pollution (Bisimwa et al, 2022) .…”

Section: Water Pollution Riskmentioning

confidence: 99%

Bacteriological quality and environment risk of water pollution of dug wells on Semau Island, Indonesia

Kusmiyati

Waangsir

Mauguru

et al. 2022

ijhs

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Dug wells are a source of clean water used by many people in Indonesia. Poor quality water can have negative effect on public health. This study was to obtain an overview of the bacteriological quality of water and the risk of water pollution of dug wells on Semau Island, Indonesia. The research design was a cross-sectional study. The research location was on Semau Island (8 villages), one dug well was taken for each village as a sample. Observations and laboratory examinations were conducted to determine environment risk factors, total coliform, Escherichia coli and total bacterial. The results showed that the total coliform in 6 samples exceeded standards, E. coli were found in all samples, the total plate number ranged 85-190 CFU/ml. The dug wells environment showed that 50% are at a distance of <10m from the source of pollution, 100% no waste water drainage, 62% there were cracks on the floor, 62% of the well 3 meters deep no plastered, 82% no fence. Some samples had poor bacteriological quality and environment risk factors for contamination, it is necessary to improve the facilities and environmental of the wells and treat water before consumption.

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Water quality assessment and pollution source analysis in Bukavu urban rivers of the Lake Kivu basin (Eastern Democratic Republic of Congo)

Cited by 18 publications

References 33 publications

Spatio-temporal analysis of the Brantas river water quality status by using principal component weighted index (PCWI)

Spatio-temporal analysis of the Brantas river water quality status by using principal component weighted index (PCWI)

Water quality modeling in the Paraibuna River in Juiz de Fora/MG: diagnosis and prognosis

Bacteriological quality and environment risk of water pollution of dug wells on Semau Island, Indonesia

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