Potentially hazardous metals contamination in soil-rice system and it's spatial variation in Shengzhou City, China

Gao, Zhiqun; Fu, Weijun; Zhang, Meijian; Zhao, Keli; Tunney, H.; Guan, Yao

doi:10.1016/j.gexplo.2016.05.006

Cited by 42 publications

(10 citation statements)

References 33 publications

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“…In the sediments, the concentrations of all metals were generally comparable to or higher than those in the AR-areas. The concentrations of Cu, Ni, Pb, and Zn in the vegetable samples were 1–2 orders of magnitude higher than those from the AR-areas, and the contamination of Cd and Cr in the AR-areas were comparable to those in this regulated site [ 72 , 73 , 74 ]. This indicated that the regulated e-waste recycling operations could reduce the release of metals to some extent, although the metal concentrations were still higher than those in the AR-areas.…”

Section: Resultsmentioning

confidence: 82%

“…The following are available online, Sample preparation, Instrumental Analysis, Geoaccumulation index, Table S1: Exposure factors and values used in the non-carcinogenic risk estimation, Table S2: Reference dose of different exposure routes and skin absorption factors, Table S3: Polybrominated diphenyl ether concentrations in soils from the regulated e-waste recycling area and from other areas, Table S4: Polybrominated diphenyl ether concentrations in sediments from the regulated e-waste recycling area and from other areas, Table S5: Polybrominated diphenyl ether concentrations in vegetables from the regulated e-waste recycling area and from other areas, Table S6, Mean metal concentrations in soils from the regulated e-waste recycling area and from other areas, Table S7: Mean metal concentrations in sediments from the regulated e-waste recycling area and from other areas, Table S8: Mean metal concentrations in vegetables from the regulated e-waste recycling area and from other area, Table S9: Non-carcinogenic risks for individual polybrominated diphenyl ethers in soils, Figure S1: Map of the soil, sediment, vegetable sampling sites, Figure S2: Box plots of the geoaccumulation index for heavy metals in soils and sediments. References [ 28 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 56 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 80...…”

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confidence: 99%

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Polybrominated Diphenyl Ethers and Heavy Metals in a Regulated E-Waste Recycling Site, Eastern China: Implications for Risk Management

Yin

Liu³

et al. 2021

Molecules

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Serious pollution of multiple chemicals in irregulated e-waste recycling sites (IR-sites) were extensively investigated. However, little is known about the pollution in regulated sites. This study investigated the occurrence of 21 polybrominated diphenyl ethers (PBDEs) and 10 metals in a regulated site, in Eastern China. The concentrations of PBDEs and Cd, Cu, Pb, Sb, and Zn in soils and sediments were 1–4 and 1–3 orders of magnitude lower than those reported in the IR-sites, respectively. However, these were generally comparable to those in the urban and industrial areas. In general, a moderate pollution of PBDEs and metals was present in the vegetables in this area. A health risk assessment model was used to calculate human exposure to metals in soils. The summed non-carcinogenic risks of metals and PBDEs in the investigated soils were 1.59–3.27 and 0.25–0.51 for children and adults, respectively. Arsenic contributed to 47% of the total risks and As risks in 71.4% of the total soil samples exceeded the acceptable level. These results suggested that the pollution from e-waste recycling could be substantially decreased by the regulated activities, relative to poorly controlled operations, but arsenic pollution from the regulated cycling should be further controlled.

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Section: Resultsmentioning

confidence: 82%

mentioning

confidence: 99%

Polybrominated Diphenyl Ethers and Heavy Metals in a Regulated E-Waste Recycling Site, Eastern China: Implications for Risk Management

Yin

Liu³

et al. 2021

Molecules

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“…As variáveis de temperatura e de umidade do ar no horário da manhã apresentaram os maiores graus de dependência espacial, 16% e 0%, respectivamente, com forte dependência espacial, enquanto que no período da tarde houve moderada dependência espacial. Esses resultados podem ser explicados pela minimização das diferenças dos valores meteorológicos das áreas sem vegetação e com vegetação, em função do maior tempo de exposição à insolação no período vespertino, refletindo em uma baixa heterogeneidade espacial do componente estocástico (Li et al, 2013;Gao et al, 2016), o que pode ser confirmado nos gráficos da distribuição do semivariograma (Figura 2). Já o IDT apresentou maior dependência espacial no período matutino.…”

Section: Resultsunclassified

Variabilidade Espacial de Parâmetros Meteorológicos e do Conforto Térmico em Recorte Urbano com Diferentes Configurações Paisagísticas, Recife-PE (Spatial Analysis of Meteorological Parameters and Thermal Comfort in Urban Clipping With Different Landscape Configurations, Recife-PE)

Nascimento¹,

Silva²,

Vasconcelos³

et al. 2019

Rev. Bras. Geog. Fis.

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Neste trabalho, foi avaliado a variabilidade espacial da temperatura, da umidade relativa do ar e do conforto térmico em um recorte espacial do município de Recife-PE, apontando a influência de diferentes configurações paisagísticas urbanas sobre os parâmetros meteorológicos locais. O recorte urbano foi selecionado tomando como base as diferentes configurações paisagísticas, entre áreas verdes e não verdes. A área selecionada inclui uma das praças (Praça do Derby) e algumas das vias mais movimentadas do Recife. A amostragem foi realizada em 24 pontos, sendo em três dias não consecutivos (25/07/2013, 26/07/2013 e 28/07/2013), em horários específicos, 9h e 15h. A temperatura e a umidade foram determinadas por meio de aparelhos do tipo termohigrômetro (Digital Icel Modelo HT-208). O conforto térmico foi estimado por meio do Índice de Desconforto de Thom. A análise espacial dos parâmetros foi realizada por meio da modelagem geoestatística, determinando o padrão espacial, os parâmetros do semivariograma experimental, e selecionando os modelos teóricos por meio da validação cruzada. A temperatura, a umidade relativa do ar, bem como o índice de desconforto de Thom apresentaram variabilidade espacial significativa, com forte e moderado grau de dependência espacial, e características espaciais isotrópicas. A geoestatística apresentou eficiência em estimar os parâmetros meteorológicos no município de Recife, em pequena escala. Os espaços verdes do recorte, como a Rua Jener de Souza e pela Praça do Derby, reproduziram temperaturas amenas e maior conforto térmico. Palavras-chave: temperatura, umidade do ar, conforto térmico, geoestatística, krigagem ordinária.

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“…; Gao et al. ). We used the Rook contiguity matrix for calculating the weights (order of contiguity = 3).…”

Section: Methodsmentioning

confidence: 98%

Material Flow and Spatial Data Analysis of the Petroleum Use to Carbon Dioxide (CO₂) Emissions in Northeast China

Liu

Jia

et al. 2018

J of Industrial Ecology

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This study investigated the petroleum consumption and petroleum-related CO 2 emissions (PCOEs) in Northeast China at city level using material flow analysis (MFA) and spatial data analysis (SDA). The petroleum flows for the year 2014 were plotted, and then the spatial patterns, weighted mean centers (WMCs), and spatial autocorrelations of petroleum consumption and PCOEs were calculated, respectively. It was found that Northeast China is a petroleum exploitation-processing-export region in China; the total input of petroleum flows comprised two parts-exploitation (about 60%) and import (about 40%). About one third of the total product oil supply flowed into other provinces. In the consumption process, the product oil was dominated by two sectors: the industry sector (45.5%) and the transportation sector (31%). The rate of PCOEs was 36.69 million tonnes in the waste discharge process. Meanwhile, the WMCs of the petroleum consumption and the PCOEs were located in the south of Northeast China. The location of the petroleum pipelines was the factor shown to determine the spatial patterns of petroleum consumption and PCOEs and the hotspots were distributed along the petroleum pipeline, especially in the Circum-Bohai Sea regions. Economic development in these regions shows a positive dependence on petroleum consumption and generates larger PCOEs. The findings obtained in this study could provide important decision-making support to low-carbon development in Northeast China. Keywords:CO 2 emissions energy consumption material flow analysis (MFA) Northeast China petroleum flows spatial data analysis Supporting information is linked to this article on the JIE website

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Potentially hazardous metals contamination in soil-rice system and it's spatial variation in Shengzhou City, China

Cited by 42 publications

References 33 publications

Polybrominated Diphenyl Ethers and Heavy Metals in a Regulated E-Waste Recycling Site, Eastern China: Implications for Risk Management

Polybrominated Diphenyl Ethers and Heavy Metals in a Regulated E-Waste Recycling Site, Eastern China: Implications for Risk Management

Variabilidade Espacial de Parâmetros Meteorológicos e do Conforto Térmico em Recorte Urbano com Diferentes Configurações Paisagísticas, Recife-PE (Spatial Analysis of Meteorological Parameters and Thermal Comfort in Urban Clipping With Different Landscape Configurations, Recife-PE)

Material Flow and Spatial Data Analysis of the Petroleum Use to Carbon Dioxide (CO₂) Emissions in Northeast China

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Potentially hazardous metals contamination in soil-rice system and it's spatial variation in Shengzhou City, China

Cited by 42 publications

References 33 publications

Polybrominated Diphenyl Ethers and Heavy Metals in a Regulated E-Waste Recycling Site, Eastern China: Implications for Risk Management

Polybrominated Diphenyl Ethers and Heavy Metals in a Regulated E-Waste Recycling Site, Eastern China: Implications for Risk Management

Variabilidade Espacial de Parâmetros Meteorológicos e do Conforto Térmico em Recorte Urbano com Diferentes Configurações Paisagísticas, Recife-PE (Spatial Analysis of Meteorological Parameters and Thermal Comfort in Urban Clipping With Different Landscape Configurations, Recife-PE)

Material Flow and Spatial Data Analysis of the Petroleum Use to Carbon Dioxide (CO2) Emissions in Northeast China

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Product

Resources

About

Material Flow and Spatial Data Analysis of the Petroleum Use to Carbon Dioxide (CO₂) Emissions in Northeast China