Dissolved oxygen variation in the North China Plain river network region over 2011–2020 and the influencing factors

Zhang, Wenqiang; Rong, Nan; Jin, Xin; Meng, Xin; Han, Songjie; Zhang, Mengjie

doi:10.1016/j.chemosphere.2021.132354

Cited by 21 publications

(5 citation statements)

References 32 publications

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“…In this study, the impact of NPS pollution on river water quality was not studied. However, based on the results from other studies, NPS pollution could be one of the main causes in water quality deterioration (Cheng et al, 2022; Wan et al, 2022; Zhang et al, 2022). Thus, the NPS effects could result in the increased heavy metal concentrations in sediments in wet seasons.…”

Section: Resultsmentioning

confidence: 99%

Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

Verpoort

et al. 2023

Water Environment Research

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The Salt River is an important urban river in Kaohsiung, Taiwan. In this study, the source identification and risk and toxicity assessment of the heavymetal-contaminated sediments in the Salt River were investigated. The geo-accumulation index (Igeo), enrichment factor (EF), sediment quality guidelines (SQGs), potential ecological risk index (RI), pollution load index (PLI), and toxic units (TU) were applied to determine effects of heavy metals on microbial diversities and ecosystems. Results from the ecological and environmental risk assessment show that high concentrations of Zn, Cr, and Ni were detected in the midstream area and the sum of toxic units (ΣTUs) in the midstream (7.2-32.0) is higher than in the downstream (14.0-19.7) and upstream (9.2-17.1). It could be because of the continuous inputs of heavymetal-contained wastewaters from adjacent industrial parks. Results also inferred that the detected heavy metals in the upstream residential and commercial areas were possibly caused by nearby vehicle emissions, non-point source pollution, and domestic wastewater discharges. Results of metagenomic assays show that the sediments contained significant microbial diversities.Metal-tolerant bacterial phyla (Proteobacteria: 24.4%-46.4%, Bacteroidetes:1.3%-14.8%, and Actinobacteria: 2.3%-11.1%) and pathogenic bacterial phyla (Chlamydiae: 0.5%-37.6% and Chloroflexi: 5.8%-7.2%) with relatively high abundance were detected. Metal-tolerant bacteria would adsorb metals and cause the increased metal concentrations in sediments. Results indicate that the bacterial composition in sediment environments was affected by anthropogenic pollution and human activities and the heavy-metal-polluted ecosystem caused the variations in bacterial communities.

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Section: Resultsmentioning

confidence: 99%

Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

Verpoort

et al. 2023

Water Environment Research

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“…The anaerobic condition, or low oxygen concentration, is also detrimental to the metabolic activities of animals such as fish. As a result, the DO concentration is the most important factor in determining the functioning of water bodies (Zhang et al, 2022). Meanwhile, BOD is a measure of organic load in freshwater ecosystems, and it is linked to microbial contamination.…”

Section: Results Of Principal Component Analysis On Water Quality Par...mentioning

confidence: 99%

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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“…This could be linked to Sen's slope obtained for nutrient parameters like Ammoniacal‐Nitrogen which were negative for all the stations except MW4. Indicating that the reduction in nutrient levels had induced the increase in dissolved oxygen in these rivers (Zhang et al., 2022). This observation further justified the fact that legislative monitoring and control measures set out by the government of Hong Kong has been effective at neutralizing the adverse effects of urbanization.…”

Section: Resultsmentioning

confidence: 99%

Investigation of long‐term river water quality variations using different urbanization indices and assessment of common scientific perspectives of urbanization on water quality

Gomes

Karunathilaka

2022

Environmental Quality Mgmt

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Dissolved oxygen variation in the North China Plain river network region over 2011–2020 and the influencing factors

Cited by 21 publications

References 32 publications

Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

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

Investigation of long‐term river water quality variations using different urbanization indices and assessment of common scientific perspectives of urbanization on water quality

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