Environmental burden of unprocessed solid waste handling in Enugu State, Nigeria

Mama, Cordelia Nnennaya; Nnaji, Chidozie Charles; Nnam, John P.; Opata, Opata C.

doi:10.1007/s11356-020-12265-y

Cited by 20 publications

(11 citation statements)

References 65 publications

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“…PCA is widely used to identify possible sources of interrelated heavy metals, but PCA does not consider the importance of each index on the impact of soil heavy metals, resulting in the failure to identify important indicators (Zhang and Huang et al, 2020;Shao and Hu et al, 2021). (Mama and Nnaji et al, 2021). Principal component analysis of heavy metals in agricultural soils of Kermansha province in western Iran showed that As, Cd, Cu, Pb, Se and Zn were anthropogenic, while Cr and Ni were geo-derived (Rahman and Jolly et al, 2021).Based on the analysis of heavy metals in the park soils of Delhi, India, PC1 has a high load of Fe, Mn, Co and Zn, which indicates that the crustal origin is mainly influenced by human beings; The content of Ni and Zn in PC2 is high, which is mainly from electroplating and electroplating process (Siddiqui and Khillare et al, 2020)。Principal component analysis can only analyze the approximate source points of soil heavy metals, but does not specify the specific influencing factors.…”

Section: Analysis Of Spatial Distribution Of Heavy Metals In Soilmentioning

confidence: 99%

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Chen

Zhu

Cai

et al. 2021

Preprint

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In megacities, due to frequent human activities, large amounts of metals enter the soil indirectly or directly and eventually flow to people through the food chain. Therefore, the analysis and identification of soil heavy metal sources is an important part of revealing soil heavy metal pollution. The spatial content and potential sources of 11 heavy metals were analyzed from 342 surface soil samples collected from the central city of Chongqing in southwest China. The results showed that the main heavy metal elements under the first principal component loading were copper (Cu), nickel(Ni), zinc (Zn), manganese (Mn), cadmium (Cr),plumbum (Pb) and cadmium(Cd).The second principal component (F2) was mainly loaded with molybdenum (Mo), arsenic (As), mercury (Hg)and antimony (Sb), and the PCA-APCs receptor model of 11 heavy metals was constructed. The PCA-APCs receptor models of 11 heavy metals were constructed. The results of classification regression analysis confirmed the main sources of heavy metals. Population density mainly affected Cu (0.539), soil mainly affected Ni (0.411), Sb (0.493), Zn (0.472) and Mn (0.206), and water quality mainly affected As(0.453) and Mo (0.374). Air quality mainly affects Cd (0.332) and Cr (0.371), traffic activity mainly affects Hg (0.312), and slope mainly affects Pb (0.313). Hot spot analysis showed that heavy metals had a high degree of coincidence with environmental factors such as soil parent material, slope, soil type and traffic activities. The results of this study can be effectively used to make scientific decisions and strategies, and an effective strategy for prevention and control of soil heavy metal pollution should be formulated to protect the urban soil environmental quality.

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Section: Analysis Of Spatial Distribution Of Heavy Metals In Soilmentioning

confidence: 99%

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Chen

Zhu

Cai

et al. 2021

Preprint

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“…The highest hot spot value, high hot spot value and high hot spot value of Sb in the study area were banded and distributed along yellow soil, yellow limestone soil and limestone soil. forms of cosmetics (Mama and Nnaji et al, 2021). Principal component analysis of heavy metals in agricultural soils of Kermansha province in western Iran showed that As, Cd, Cu, Pb, Se and Zn were anthropogenic, while Cr and Ni were geo-derived (Rahman and Jolly et al, 2021).Based on the analysis of heavy metals in the park soils of Delhi, India, PC1 has a high load of Fe, Mn, Co and Zn, which indicates that the crustal origin is mainly influenced by human beings; The content of Ni and Zn in PC2 is high, which is mainly from electroplating and electroplating process (Siddiqui and Khillare et al, 2020) to explain the relationship between Pb and Hg exposure and genetic background.…”

Section: Analysis Of Spatial Distribution Of Heavy Metals In Soilmentioning

confidence: 99%

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Chen

Zhu

Cai

et al. 2021

Preprint

View full text Add to dashboard Cite

In megacities, due to frequent human activities, large amounts of metals enter the soil indirectly or directly and eventually flow to people through the food chain. Therefore, the analysis and identification of soil heavy metal sources is an important part of revealing soil heavy metal pollution. The spatial content and potential sources of 11 heavy metals were analyzed from 342 surface soil samples collected from the central city of Chongqing in southwest China. The results showed that the main heavy metal elements under the first principal component loading were copper (Cu), nickel(Ni), zinc (Zn), manganese (Mn), cadmium (Cr), plumbum (Pb) and cadmium (Cd). The second principal component (F2) was mainly loaded with molybdenum (Mo), arsenic (As), mercury (Hg) and antimony (Sb), and the PCA-APCs receptor model of 11 heavy metals was constructed. The PCA-APCs receptor models of 11 heavy metals were constructed. The results of classification regression analysis confirmed the main sources of heavy metals. Population density mainly affected Cu (0.539), soil mainly affected Ni (0.411), Sb (0.493), Zn (0.472) and Mn (0.206), and water quality mainly affected As (0.453) and Mo (0.374). Air quality mainly affects Cd (0.332) and Cr (0.371), traffic activity mainly affects Hg (0.312), and slope mainly affects Pb (0.313). Hot spot analysis showed that heavy metals had a high degree of coincidence with environmental factors such as soil parent material, slope, soil type and traffic activities. The results of this study can be effectively used to make scientific decisions and strategies, and an effective strategy for prevention and control of soil heavy metal pollution should be formulated to protect the urban soil environmental quality.

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“…In recent years with the awareness of the increasingly complex environmental issues, geophysical prospection methods started to be successfully used in the study of complex environments, such as urban areas [45,46]. Among the geophysical methods most employed in environmental studies the electrical resistivity has been pointed out as relevant [21,22], and it has been prominent in the study of environmental problems in soil and groundwater, mainly in the location of buried hazardous waste, contamination from different sources and the planning of safe sites for the deposit of industrial and domestic waste [26,28] being widely used to identify areas of heavy metal contamination, contamination plumes [10], groundwater [22,47], lithological variations [26].…”

Section: Geophysical Studies (Electrical Resistivity)mentioning

confidence: 99%

Characterisation of the Dynamics of Leachate Contamination Plumes in the Surrounding of the Hulene - B Waste Dump, Maputo, Mozambique

Bernardo¹,

Candeias²,

Rocha³

2021

Preprint

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The contamination of areas around solid urban waste dumps is a global challenge for the maintenance of environmental quality in large urban centres in developing countries. This study applied geophysical methods (electrical resistivity) to identify leachate contamina-tion plumes in the subsoil and groundwater, as well as to describe their temporal (2020 and 2021) dynamics in the lithology and groundwater around the Hulene - B waste dump, Maputo, Mozambique. Geophysical methods (electrical resistivity) were applied to identify possible groundwater contamination plumes, their dynamics, mechanisms of their enrichment and dispersion. Eight 400 m electrical resistivity profiles were performed, four profiles in January 2020 and four profiles in May 2021, overlapped, and the data were inverted with RES2D software. The electrical resistivity models indicate an E - W move-ment of large contamination plumes that dilute superficially into the natural surface wa-ter receiving basin and groundwater, creating zones of resistive anomalies. The thickness of the plumes in the subsurface environment was shown to be extensive in summer for profiles 1a and 2b and we associate it with the higher leachate production and migration mechanisms, which are intense in the hot and rainy season. Profile 4b showed the prop-agation of anomalous surface and subsurface areas, which was associated with higher leachate production and migration process in the new deposition zone (west). The spatial distribution of contamination plumes at both stations reduced significantly as we moved further away from the waste deposit, revealing the attenuating effect of groundwater and lithological substrate (Profile 3 a, b, and fig.7).

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Environmental burden of unprocessed solid waste handling in Enugu State, Nigeria

Cited by 20 publications

References 65 publications

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Analysis and Source Identification of Heavy Metals in Soils of Central Urban Area of Chongqing, China

Characterisation of the Dynamics of Leachate Contamination Plumes in the Surrounding of the Hulene - B Waste Dump, Maputo, Mozambique

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