Environmental and Ecological Risk Assessment of Trace Metal Contamination in Mangrove Ecosystems: A Case from Zhangjiangkou Mangrove National Nature Reserve, China

Wang, Jun; Du, Huihong; Xu, Ye; Chen, Kai; Liang, Junhua; Ke, Hongwei; Cheng, Sha-Yen; Liu, Mengyang; Deng, Hengxiang; He, Tong; Wang, Wenqing; Cai, Minggang

doi:10.1155/2016/2167053

Cited by 16 publications

(23 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The sediments of the MMELC and the Meirim River showed a slightly alkaline pH mean of 7.4 and 8.1, respectively. These results are very similar to those found in other works such as Silva (2015), who studied the Parnaíba basin estuary soils, with pH ranging from 6.5 to 8.5 and Wang et al (2016), in your study of mangrove forest of China National Reserve, where detected the pH of soils ranging from 5.99 to 8.26, averaging 7.53. Table 2 shows the mean values of heavy metal levels detected in the soils from the MMELC and the Meirim River.…”

Section: Soil Texture Ph and Organic Mattersupporting

confidence: 91%

Bioavailability of heavy metals in mangrove soil in Alagoas, Brazil

Nascimento¹,

Barros²,

Azevedo³

et al. 2019

Biosci. J.

View full text Add to dashboard Cite

The mangrove forest is an important transitional ecosystem consisted of terrestrial and marine environment located in tropical and subtropical regions with average temperatures above 20 °C. In Alagoas, the mangrove forests are found on the entire coastline from Maragogi to Piaçabuçu. In the last 20 years, due to the pollution of water resources, studies of coastal aquatic ecosystems have been developed. The objective of this study was to analyze the physicochemical properties and determine the levels of heavy metals in mangrove sediments of the Mundaú-Manguaba estuary lagoon complex (MMELC) and Meirim River in Alagoas. Zinc, copper, lead, cadmium and chromium were chosen due to their relationship with sewer, agricultural, and industrial wastes. 22 soil samples were collected in the MMELC and in the Meirim River. The samples were submitted to soil routine analyses of Embrapa. The heavy metals were extracted by the Mehlich-1 method and analyzed by atomic absorption spectrometry. The mean concentrations of these metals in the sediment samples followed the order Mn > Zn >Pb > Cr> Cu >Cd in MMELC and Zn > Mn >Pb > Cr> Cu >Cd in Meirim River. All proposed heavy metals were found in sediments, however, the cadmium levels were above the normal levels proposed by Environment National Council (CONAMA) and Canadian Council of Ministers of the Environment. The study shows that the analysis of sediment can contribute to environmental monitoring actions and development of public policies aimed to controlling the sustainable use of natural resources of the studied areas.

show abstract

Section: Soil Texture Ph and Organic Mattersupporting

confidence: 91%

Bioavailability of heavy metals in mangrove soil in Alagoas, Brazil

Nascimento¹,

Barros²,

Azevedo³

et al. 2019

Biosci. J.

View full text Add to dashboard Cite

show abstract

“…World surface rock average was used as background values (Turekian and Wedepohl 1961;Tang et al 2016). The factor 1.5 is incorporated in the relationship to account for possible variation in background data due to lithogenic effect (Wang et al 2016). Muller (1969) classification of I geo grouped it into seven grades: I geo ≤ 0 (grade 0), unpolluted; 0 < ≤ 1 (grade 1), slightly polluted; 1 < I geo ≤ 2 (grade 2), moderately polluted; 2 < I geo ≤ 3 (grade 3), moderately severely polluted; 3 < I geo ≤ 4 (grade 4), severely polluted; 4 < I geo ≤ 5 (grade 5), severely to extremely polluted; and I geo > 5 (grade 6), extremely polluted.…”

Section: Geoaccumulation Index (I Geo )mentioning

confidence: 99%

Evaluating the potential health risks of heavy metal pollution in sediment and selected benthic fauna of Benin River, Southern Nigeria

et al. 2018

View full text Add to dashboard Cite

The potential ecological and human health risk of heavy metal pollution in sediment and Benthic Fauna (Chrysichthys auratus and Tympanotonus fuscatus) of Benin River, Southern Nigeria, was evaluated. Three sampling sites associated with heavy anthropogenic activities along the course of the river were sampled. Heavy metals concentrations were determined in the samples using atomic absorption spectrophotometer (Model 210 VGP, Buck Scientific). In all sediment samples, only Pb exceeded the threshold/probable effect level (TEL). Very high contamination degrees (CD > 24) 181.74, 50.11, and 101.96) for stations 1, 2, and 3, respectively, were observed indicating serious anthropogenic pollution. Geoaccumulation index (i geo) showed slight pollution with Pb and Cd and severely to extremely polluted with Fe across the stations. Cd exhibited moderate individual potential risk (E i r), and the other heavy metals showed low E i r. Potential ecological risk index (RI) showed low risk of contamination for heavy metals in sediment. Human health risk assessment for Co, Cd, Cu, Zn, Mn, Fe, and Ni in C. auratus and Co, Zn, Mn, Fe, and Ni in T. fuscatus indicated no obvious health risk from these heavy metals over a lifetime of exposure. However, hazard quotient (HQ) values for Pb in C. auratus and Cd, Cu, and Pb in T. fuscatus indicated significant health risk. The hazard index (HI) values for both C. auratus and T. fuscatus were > 1 indicating significant adverse health risk of non-carcinogenic effect. Therefore, the consumption of these contaminated fish and shellfish by the people of Koko portends risks of the health of the public. The industries operating in this community should adopt more sustainable and eco-innovative management options in order to attenuate potential ecological and human health risk of metal pollution.

show abstract

“…According to Guan et al (2014), geo-accumulation index is suitable for assessing heavy metals in soil contaminated by industrial activities. Geo-accumulation index by Muller (1969) and have been applied by El-Metwally et al (2017), Bhutiani et al (2017), Ghaleno et al (2015), Todorova et al (2016), Tang et al (2014) Wang et al (2016, Hassaan et al (2016), Vowotor et al (2014), Ghazaryan et al (2015), Guan et al (2014), Gasiorek et al (2017), Kowalska et al (2016).…”

Section: Geo-accumulation Indexmentioning

confidence: 99%

“…Some of these indices such as enrichment factor (EF), geo-accumulation factor (Igeo) and Quantification of contamination (QoC) have been applied by authors in assessing environmental risk assessment (Muller, 1969;Sutherland, 2000;Asaah et al, 2006;Elias et al, 2014;Tang et al, 2014;Vowotor et al, 2014;Ghaleno et al, 2015;Ghazaryan et al, 2015;Hassaan et al, 2016;Todorova et al, 2016;Wang et al, 2016;Bhutiani et al, 2017). Hence, this study aimed at assessing the Igeo, EF, QoC of heavy metals in soil receiving cassava mill effluents in a rural community of the Niger Delta region of Nigeria.…”

Section: Introductionmentioning

confidence: 99%

Geo-accumulation Index, Enrichment Factor and Quantification of Contamination of Heavy Metals in Soil Receiving Cassava Mill Effluents in A Rural Community in the Niger Delta Region of Nigeria

Izah¹,

Bassey²,

Ohimain³

2017

msb

View full text Add to dashboard Cite

-accumulation index, enrichment factor and quantification of contamination of heavy metals in soil receiving cassava mill effluents in a rural community in the Niger Delta region of Nigeria, Molecular Soil Biology, 8(2): 7-20 (doi: 10.5376/msb.2017.08.0002) Abstract This study investigated enrichment factor, geo-accumulation index and quantification of contamination of heavy metals in cassava mill effluents contaminated soil by smallholder cassava processors in a rural community in the Niger Delta region of Nigeria. Data used for the environmental risk assessment is from secondary sources. The assessment was carried out under two background scenarios viz: geometric (BGM) and median mean (BMM). 50% of mean detected individual metals was used as mean data for location that the metal was not detected. Assessment was carried out following well established protocol. Results showed that enrichment factor (EF), geo-accumulation index (Igeo), improved Nemerow Index (INI), Metal enrichment index (MEI) and quantification of contamination (QoC) in soil heavy metals (viz: Fe, Cr, Zn, Cu, Co, Ni, Mn, Pb and Cd) receiving cassava mill effluents in a rural community of the Niger Delta region of Nigeria revealed un-contamination to moderately contamination for Igeo, NMI, background rank to significant enrichment for EF, no enrichment to moderate enrichment for MEI, and positive values of quantification of contamination is an indication of pollution/contamination due to anthropogenic sources. The study further showed that cassava mill effluents are contributing to soil heavy metal contamination in study area.

show abstract

Environmental and Ecological Risk Assessment of Trace Metal Contamination in Mangrove Ecosystems: A Case from Zhangjiangkou Mangrove National Nature Reserve, China

Cited by 16 publications

References 67 publications

Bioavailability of heavy metals in mangrove soil in Alagoas, Brazil

Bioavailability of heavy metals in mangrove soil in Alagoas, Brazil

Evaluating the potential health risks of heavy metal pollution in sediment and selected benthic fauna of Benin River, Southern Nigeria

Geo-accumulation Index, Enrichment Factor and Quantification of Contamination of Heavy Metals in Soil Receiving Cassava Mill Effluents in A Rural Community in the Niger Delta Region of Nigeria

Contact Info

Product

Resources

About