Trace element hydrochemical assessment of the Calabar Coastal Plain Aquifer, southeastern Nigeria using statistical methods

Edet, Aniekan; Merkel, Broder J.; Offiong, O. E.

doi:10.1007/s00254-002-0738-1

Cited by 52 publications

(32 citation statements)

References 15 publications

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“…Heavy metal evaluation index with focus on heavy metals in water samples for estimating the water quality [16]. This index classify into three categories, which include HEI <400 (low heavy metals), 400 <HEI< 800 (moderate to heavy metals) and HEI> 800 (high heavy metals).…”

Section: Heavy Metal Evaluation Index (Hei)mentioning

confidence: 99%

“…This index classify into three categories, which include HEI <400 (low heavy metals), 400 <HEI< 800 (moderate to heavy metals) and HEI> 800 (high heavy metals). The index is calculated from the following equation [13]: H c = the monitored value of the ith parameter, H mac = the maximum admissible concentration of the ith parameter [10,16].…”

Section: Heavy Metal Evaluation Index (Hei)mentioning

confidence: 99%

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Evaluation of the Water Quality Pollution Indices for Groundwater Resources of Ghahavand Plain, Hamadan Province, Western Iran

Sobhanardakani

2016

IJT

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Section: Heavy Metal Evaluation Index (Hei)mentioning

confidence: 99%

Section: Heavy Metal Evaluation Index (Hei)mentioning

confidence: 99%

Evaluation of the Water Quality Pollution Indices for Groundwater Resources of Ghahavand Plain, Hamadan Province, Western Iran

Sobhanardakani

2016

IJT

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“…Heavy metal evaluation index HEI focuses on heavy metals in water samples for estimating the water quality (33). The water quality index is classified into three categories which include HEI <400 (low heavy metals), 400 <HEI < 800 (moderate to heavy metals) and HEI> 800 (high heavy metals).…”

Section: Heavy Metal Pollution Indexmentioning

confidence: 99%

“…where H c is the monitored value of the ith parameter and H mac the MAC of the ith parameter (27,33).…”

Section: Heavy Metal Pollution Indexmentioning

confidence: 99%

Groundwater quality assessment using the water quality pollution indices in Toyserkan Plain

Sobhanardakani

Taghavi

Shahmoradi

et al. 2016

Environ Health Eng Manag

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Background: Iran is located within the dry and semi dry regions, thus almost 90% of the required water is secured via the use of groundwater. Owing to the increasing pollution of water resources, this study was performed to evaluate water quality pollution indices for heavy metals (As, Zn, Pb and Cu) contamination monitoring in Toyserkan Plain during spring and summer in 2012. Methods: A total of 20 ground water wells were chosen randomly. The samples were filtered (0.45 μm) and kept cool in polyethylene bottles. Samples were taken for the analysis of metals, the former was acidified with HNO 3 to pH lower than 2. Metal concentrations were determined using ICP-OES. Results:The results revealed that the mean values of contamination index (C d ), heavy metal pollution index (HPI) and heavy metal evaluation index (HEI) in samples for spring season were -2.81, 9.74 and 1.20, respectively and were -2.67, 9.51 and 1.32, respectively in samples for summer season and this indicates low contamination levels. Comparing the mean concentrations of the evaluated metals with WHO permissible limits demonstrated a significant difference (P < 0.05). Thus, the mean concentrations of the metals were significantly lower than the permissible limits. Conclusion: Although the heavy metal pollution of the ground water in Toyserkan Plain is not higher than permissible limits, the irregular and long-term utilization of agricultural inputs, use of wastewater and sewage sludge in agriculture, over utilization of organic fertilizers and establishment of pollutant industries can threaten the ground water, and cause irreversible damages in this area.

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“…R-mode factor analysis is a multivariate statistical technique that is widely used to aid the interpretation of geochemical data and enhances subtle but significant single-element anomalies. Furthermore, it can reveal the factors that are present and how their influence varies across any given area (17). The main aim of factor analysis is to reveal the underlying relations that are presumed to exist within a set of multivariate observations (16).…”

Section: Factor Analysis (Fa)mentioning

confidence: 99%

A Comparative Study of Element Cycling in the Soil-Plant System: A Case Study of Shaly and Calcareous Soils, Southern Benue Trough, Nigeria

Nganje¹,

Adamu²

2014

IJG

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This study focused on the cycling of major and trace elements in the soil-plant system in parts of Southern Benue Trough, Nigeria. Surface soil samples and cassava crop samples were collected from cultivated farmlands underlined by shaly and calcareous soils and were analysed using standard techniques. The results show that shaly soils are relatively acidic (pH, 4.8 -6.6) with high level of organic matter content (OM, 3.2% -8.7%) compared to calcareous soils (pH, 5.6 -7.2; OM 1.6% -7.0%). The soils are enriched in elemental composition relative to the world average abundances in soil. The maximum levels of K, Al, and Zn were obtained from shaly soils. The computed accumulation factors are generally <1. Elemental levels decreased in the plant parts in the order tuber > leaf > stem. Significant correlation was obtained between elemental associations of calcareous surface soils compared to that of shaly soils. R-mode factor analysis revealed the controls of soil geochemistry to include lithology, anthropogenic and environmental factors. A stepwise linear regression analysis identified soil elemental component, pH and organic matter as some of the factors influencing soil-plant metal uptake.

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Trace element hydrochemical assessment of the Calabar Coastal Plain Aquifer, southeastern Nigeria using statistical methods

Cited by 52 publications

References 15 publications

Evaluation of the Water Quality Pollution Indices for Groundwater Resources of Ghahavand Plain, Hamadan Province, Western Iran

Evaluation of the Water Quality Pollution Indices for Groundwater Resources of Ghahavand Plain, Hamadan Province, Western Iran

Groundwater quality assessment using the water quality pollution indices in Toyserkan Plain

A Comparative Study of Element Cycling in the Soil-Plant System: A Case Study of Shaly and Calcareous Soils, Southern Benue Trough, Nigeria

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