Combining emission inventory and isotope ratio analyses for quantitative source apportionment of heavy metals in agricultural soil

Lian, Chen; Zhou, Shenglü; Wu, Shishan; Wang, Chunhui; Li, Baojie; Li, Yan; Wang, Junxiao

doi:10.1016/j.chemosphere.2018.04.002

Cited by 84 publications

(26 citation statements)

References 48 publications

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“…6 Loading plot of the PCA of trace metals in the sediment of the Jiehe River improve insecticidal effort (Cai et al 2015). Chen et al (2018) also reported that the average total input amount of Cu and Zn annually (mg/m 2 /a) from the agricultural fertilizer were 13.313 and 2.376, respectively. There was a large scale wheat, maize, and vegetables in the study area, so the application of fertilizers and pesticides may be the primary source of Cu, Zn, and As.…”

Section: Sources Identificationmentioning

confidence: 99%

Distribution and risk assessment of trace metals in riverine surface sediments in gold mining area

Song

Liu

Sheng

2019

Environ Monit Assess

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Recognizing the pollution characteristics and potential risks of trace metals in sediments are important to protect water ecosystem safety. In the present study, a systematic investigation was performed to assess the pollution and risk level of trace metals in river sediments located in the greatest gold production base in China. The geo-accumulation index was used to assess the contamination degree. The sediment quality guidelines and potential ecological risk index were employed to complete an ecological risk assessment. A noncarcinogenic health risk assessment was also carried out to evaluate potential adverse health risks. Correlations and principal component analyses were applied to check relationships among trace metals and ascertain potential pollution sources. The results suggested that the sediments in the river were most polluted by As, Cd, and Hg followed by Cu, Pb, and Zn. The assessment of potential human health risk revealed that there was no significant non-carcinogenic risk to the inhabitants. Gold mining and smelting activities and the long-term excessive application of fertilizers and agrochemicals were identified as the main anthropogenic releases. This study contributed an understanding that possible sources, contamination degree, and ecological risk level of trace metals in riverine surface sediments in a gold mining area.

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Section: Sources Identificationmentioning

confidence: 99%

Distribution and risk assessment of trace metals in riverine surface sediments in gold mining area

Song

Liu

Sheng

2019

Environ Monit Assess

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“…A cluster analysis method was adopted in this study, and the sampling points were divided into CA1, CA2, CA3, and CA4 Groups. These groups were composed of sampling points (4,32,33,34,35); (5,6,7,8,11,16,18,24,25,27,28,31,36,37,38); (9,12,13,14,15,19,20,21,22,23,29); and (1,2,3,10,17,26,30), respectively, as detailed in Figure 3. Table 3 shows that, with the exception of the T, pH, TP, and Zn, there were significant differences in the heavy metals and nutrients among the different groups.…”

Section: Cluster and Discriminant Analysesmentioning

confidence: 99%

“…River nutrition and heavy metal contents are important factors affecting river water quality. Previous research results have shown that agricultural activities are the main sources of suspended solids and inorganic nutrients (phosphate and nitrate) in rivers, and agricultural fertilization is also considered the main source of heavy metals [4][5][6]. In addition, industrial wastewater contains a variety of heavy metals [7][8][9], and municipal discharges will also have significant impacts on the nutrient elements and heavy metal content in rivers [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution Characteristics and Sources of Nutrients and Heavy Metals in the Xiujiang River of Poyang Lake Basin in the Dry Season

Chu

Wang

Zheng

et al. 2021

Water

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In December of 2019, a total of 114 river water samples were collected from 38 sampling sites in the Xiujiang River of the Poyang Lake Basin for three consecutive days. The temperature (T), pH, dissolved oxygen (DO), chemical oxygen demand (CODCr), five-day biochemical oxygen demand (BOD5), total nitrogen (TN), ammonia nitrogen (NH4+-N), total phosphorus (TP), and concentrations of heavy metals (Cr, Cu, Zn and As) of the samples were measured. The results showed that the average concentrations of heavy metals in the mainstream of the Xiujiang River were Cu > Zn > Cr > As, and those in the main tributary of Xiujiang River (named as the Liaohe tributary) were Zn > Cu > Cr > As, which met the class III of the Environmental Quality Standards for Surface Water in China. However, it was founded that TN and NH4+-N in some agricultural areas had not met the class III standard of surface water. Hierarchical clustering analysis grouped sampling sites into four clusters. Clusters 1, cluster 2, cluster 3, and cluster 4 corresponded to an urban industrial area, rural mountainous area, primitive mountainous area, and agricultural area, respectively. The majority of the sampling sites were classified as mountainous rural areas less impacted by human activities, while the Liaohe tributary were urban industrial areas impacted more by human activities. Principal component analysis and correlation analysis results showed that variation of heavy metals and nutrient elements in Xiujiang River is related to the heterogeneity of human activities, which is mainly affected by urban industrial and agricultural pollution, and natural environments of the river with different background values. The results obtained in the current study will potentially provide a scientific basis for the protection and management of freshwater resources and aquatic ecosystems in the Xiujiang River and Poyang Lake Basin.

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“…Lacking of proper infrastructure to contain these anthropogenic activities, especially in the heavily populated areas, has led to several environmental problems (Nagajyoti et al, 2010;Alloway, 2012;Wu et al, 2016 andSteffan et al, 2017). Consequences include water and soil contamination by sewage and industrial wastes and the accumulation of heavy metals in agricultural soil and subsequently in various plantations (Zhou et al, 2016;Wang et al, 2017;Chen et al, 2018 andKhalifa andGad, 2018). These problems have also provided a better environment for pests and disease vectors to flourish and accordingly the use of pesticides has also intensified (Biswas, 1993 andEl-Nemr, 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Changes in Weed Flora in Response to Agricultural Practices in the Arable Lands of El-Menoufia Governorate, Nile Delta, Egypt

Elsaied

Bdair

2018

Taeckholmia

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In Egypt and during the last 50 years, several changes in agricultural practices have affected different components of agro-ecosystems including weed flora. The aim of the present study was to evaluate changes in the weed flora of El-Menoufia Governorate, South of the Nile Delta of Egypt during the period from 1984 to 2018, in response to different agricultural practices. A total of 240 stands were investigated in both spring and summer seasons in order to document the present status of the weed flora. The obtained results were compared to results obtained by other authors in 1984. Results showed major shifts in the weed flora of El-Menoufia Governorate where 67 species out of 146 species were recorded in our study while only 42 species out of 121 species were present in 1984 survey. Changes in the family composition, life form, life span, and chorology were reported. Reasons responsible for such changes have been discussed. Changes in the crop composition, cultivation area of each crop, excessive use of fertilizers and pesticides, changes in irrigation water quality and quantity are the leading change promoters. The high economic importance of the weed flora and the potential threats facing agriculture in Egypt necessitate the formulation of a sustainable strategy for maintaining agro-ecosystems of Egypt and its biodiversity.

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Combining emission inventory and isotope ratio analyses for quantitative source apportionment of heavy metals in agricultural soil

Cited by 84 publications

References 48 publications

Distribution and risk assessment of trace metals in riverine surface sediments in gold mining area

Distribution and risk assessment of trace metals in riverine surface sediments in gold mining area

Spatial Distribution Characteristics and Sources of Nutrients and Heavy Metals in the Xiujiang River of Poyang Lake Basin in the Dry Season

Evaluation of Changes in Weed Flora in Response to Agricultural Practices in the Arable Lands of El-Menoufia Governorate, Nile Delta, Egypt

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