Receptor Modeling Application on Surface Water Quality and Source Apportionment

Animashaun, Iyanda Murtala; Ahaneku, Isiguzo Edwin; Busari, Musa Bola; Taoheed, Muhammad

doi:10.12983/ijsras-2016-p0001-0010

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The introduction of industrial waste like any other pollutants into the environment can either be from a point source where the source of pollutant can be easily traced or a non-point source where the origin of the pollutant is difficult to establish (Animashaun et al, 2016). Depending on their constituent these are either organic or inorganic pollutants.…”

Section: Introductionmentioning

confidence: 99%

Predicting Mobility of Cadmium (Cd) and Lead (Pb) in Contaminated Soil through a Mathematical Model

Animashaun¹,

Olorunsogo²,

Otache³

et al. 2016

IJSRES

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Abstract. Indiscriminate discharge of industrial effluent particularly pharmaceutical effluent on agricultural soils poses serious health risk to plants, animals and ultimately humans. This study was carried out to predict the mobility of two of the most lethal soil pollutants (Cadmium and Lead). As such, the concentrations of Cadmium and Lead in soil at the initial point of effluent disposal and at subsequent points 4m, 8m, 12m, 16m and 20m away from the point source were determined. A simplified version of transport equation was used to simulate the mobility of Cadmium and Lead in the soil using polymath professional version 6.1. The simulated result showed a good level of agreement with the experimental data with correlation coefficients of 0.92 and 0.96 for Pb and 0.89 and 0.97 for Cd mobility respectively. Thus the model can be considered as a good representation of the phenomenon of mobility of heavy metals in the soil.

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Section: Introductionmentioning

confidence: 99%

Predicting Mobility of Cadmium (Cd) and Lead (Pb) in Contaminated Soil through a Mathematical Model

Animashaun¹,

Olorunsogo²,

Otache³

et al. 2016

IJSRES

Self Cite

View full text Add to dashboard Cite

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Evaluation of Water Quality Index of River Musa for Drinking Purpose in Bida, Nigeria

Abubakar

Abdulrahman

2021

BJARE

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River Musa in Bida, Nigeria is of great importance to the people of the town and its environs. Due to the indiscriminate disposal of domestic and industrial effluents into the river, there is a need to evaluate the river water quality for drinking purpose. The objective of this study was to evaluate some selected physicochemical parameters (Total dissolved solids (TDS), pH, ammonia (NH4), Sodium, Calcium, Magnesium and four heavy metals ( Fe, Pb, Cu and Mn)) of water from River Musa to reveal the detailed water quality of the river for its suitability for drinking purpose. To achieve this objective, the Canadian Council Water Quality index (CCWQI) was applied to the analytical results of the selected parameters to obtain a single value that was used to rank the river at each of the sampling locations. The annualaverage water quality indexes (for both rainy and dry season) at five locations are (40.9, 42, 40, 39.1 and 37.5). The results showed that the water quality of the entire river is poor (39.9) and the river water is not suitable for drinking purposes.

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Receptor Modeling Application on Surface Water Quality and Source Apportionment

Cited by 2 publications

References 4 publications

Predicting Mobility of Cadmium (Cd) and Lead (Pb) in Contaminated Soil through a Mathematical Model

Predicting Mobility of Cadmium (Cd) and Lead (Pb) in Contaminated Soil through a Mathematical Model

Evaluation of Water Quality Index of River Musa for Drinking Purpose in Bida, Nigeria

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