Pollution assessment and land use land cover influence on trace metal distribution in sediments from five aquatic systems in southern USA

Paul, Varun; Sankar, M.; Vattikuti, Shannon; Dash, Padmanava; Arslan, Zikri

doi:10.1016/j.chemosphere.2020.128243

Cited by 45 publications

(16 citation statements)

References 73 publications

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“…However, the concentrations frequently increase due to human activities, thus adversely affecting many parts of the world (Esmaeili et al 2014;Aiman et al 2016). Land use (e.g., gardens, farms, urban areas, industrial areas, and bare land), which are the most visible form of human activity, plays a pivotal role in the generation, accumulation, and distribution of pollutants amongst air, soil, water, and sediments (Esmaeili et al 2014;Paul et al 2021). Subhani et al (2015) determined As to be the most abundant heavy metal polluter at the surface soil of the Punjab in Pakistan, caused by the rapid development of industrialization and urbanization.…”

Section: Introductionmentioning

confidence: 99%

Investigating the source apportionment of heavy metals in soil surrounding reservoir using partial least-squares regression model

Huang

Han

Ma³

et al. 2022

Water Supply

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The assessment of heavy metal pollution is crucial for water conservation. This study determined the contents of heavy metals (Cd, Cr, Cu, Ni, Pb, Zn and As) from 39 soil samples surrounding a reservoir, and analyzed the corresponding source and enrichment using enrichment factors and partial least-squares regression. The concentration of Cr (54.06 mg/kg) was lower than the background value of the reservoir area, while the Cd concentration was higher (0.96 mg/kg). Moreover, Cd, Cr, Ni, Pb, Zn and As concentrations in south exceeded those of the northeast in the Nanwan lake reservoir (NLR). Cd and As were the dominant contaminated elements in the NLR. The Cd enrichment factor value was 11.25, areas with moderate and higher levels of pollution of Cd occupied 89.0% of the total area, while As occupied 18.4%. The dominate sources of Zn, Ni, Cu, Pb and Cr were identified as natural inputs, those of As were agricultural production activities, and those of Cd were industrial production activities. This study provides insight into the heavy metal pollution and key factors of land-use types in watersheds with tea trees as the dominant vegetation cover, and aids in the planning of water pollution prevention and ecological protection.

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Section: Introductionmentioning

confidence: 99%

Investigating the source apportionment of heavy metals in soil surrounding reservoir using partial least-squares regression model

Huang

Han

Ma³

et al. 2022

Water Supply

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“…Therefore, identifying the specific factors that affect metal concentrations in river sediments can be essential for strategy and policymaking and protecting human and animal health. Factors at different scales that affect chemical concentrations in river sediment to some degree are land cover, hydrology, human activity, geologic setting, and climate [11][12][13][14][15][16]. Many scientific studies have dealt with pollution in soils, river water, and sediments [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Ranking of Basin-Scale Factors Affecting Metal Concentrations in River Sediment

Lotz

Opp

2022

Applied Sciences

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River sediments often contain potentially harmful pollutants such as metals. Much research has been conducted to identify factors involved in sediment concentrations of metals. While most metal pollution studies focus on smaller scales, it has been shown that basin-scale parameters are powerful predictors of river water quality. The present study focused on basin-scale factors of metal concentrations in river sediments. The study was performed on the contiguous USA using Random Forest (R.F.) to analyze the importance of different factors of the metal pollution potential of river sediments and evaluate the possibility of assessing this potential from basin characteristics. Results indicated that the most important factors belonged to the groups Geology, Dams, and Land cover. Rock characteristics (contents of K2O, CaO, and SiO2) and reservoir drainage area were strong factors. Vegetation indices were more important than land cover types. The response of different metals to basin-scale factors varied greatly. The R.F. models performed well with prediction errors of 16.5% to 28.1%, showing that basin-scale parameters hold sufficient information for predicting potential metal concentrations. The results contribute to research and policymaking dependent on understanding large-scale factors of metal pollution.

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“…In small waterbodies, the main sources of many kinds of toxins are anthropogenic, such as the diffusion pollution of garbage dumps on rainy days and pollution due to chemical fertilizers and pesticides. However, in small waterbodies, such as small lakes, ponds, streams, springs, or ditches, the levels of the pollutants are usually much higher than in large waterbodies [ 7 , 8 ]. It is easily speculated but rarely reported that there are short-term high concentrations of BPA when it is released into the environment.…”

Section: Introductionmentioning

confidence: 99%

Bisphenol A Interferes with Redox Balance and the Nrf2 Signaling Pathway in Xenopus tropicalis during Embryonic Development

Chen

Zhong

Zhang

et al. 2022

Animals

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Bisphenol A (BPA), an environmental estrogen, is widely used and largely released into the hydrosphere, thus inducing adverse effects in aquatic organisms. Here, Xenopus tropicalis was used as an animal model to investigate the oxidative effects of BPA on early embryonic development. BPA exposure prevalently caused development delay and shortened body length. Furthermore, BPA exposure significantly increased the levels of reactive oxygen species (ROS) and DNA damage in embryos. Thus, the details of BPA interference with antioxidant regulatory pathways during frog early embryonic development should be further explored.

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Pollution assessment and land use land cover influence on trace metal distribution in sediments from five aquatic systems in southern USA

Cited by 45 publications

References 73 publications

Investigating the source apportionment of heavy metals in soil surrounding reservoir using partial least-squares regression model

Investigating the source apportionment of heavy metals in soil surrounding reservoir using partial least-squares regression model

Ranking of Basin-Scale Factors Affecting Metal Concentrations in River Sediment

Bisphenol A Interferes with Redox Balance and the Nrf2 Signaling Pathway in Xenopus tropicalis during Embryonic Development

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