scholarly journals Source Apportionment of Heavy Metal Pollution in Agricultural Soils around the Poyang Lake Region Using UNMIX Model

2021 ◽  
Vol 13 (9) ◽  
pp. 5272
Author(s):  
Yanhong Li ◽  
Huifen Kuang ◽  
Chunhua Hu ◽  
Gang Ge
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Agricultural Soils ◽  
Poyang Lake ◽  
Pollution Sources ◽  
Average Content ◽  
Natural Background ◽  
Poyang Lake Region ◽  
Lake Region

Rapid urbanization and industrialization have caused the continuous discharge of heavy metals into the soils of China’s Poyang Lake region, where they pose a major threat to human health. Yet, the spatial characteristics of these heavy metals in farmland soils and their pollution sources in this region remain unclear. This study was conducted to document the pollution caused by heavy metals in the Poyang Lake region through sampling that consisted of the collection of 215 soil samples from agricultural fields. The UNMIX model provided identification of the sources causing heavy metal pollution and source contributions to soil pollution. ArcGIS was used to study the spatial distribution of the eleven heavy metals and to validate the apportionment of pollution sources provided by the UNMIX model. Soil concentrations of heavy metals were above the local background concentrations. The average content of eight heavy metals, including Cd, Mo, Zn, Cu, Sb, W, Pb, and Ni, was approximately 1–6 times greater than natural background levels (6.91, 2.0, 1.67, 1.53, 1.23, 1.38, 1.11, and 1.24, respectively), while the average content of V, Cr, and Co was lower than natural background levels. The average contents of Cr, Ni, Cu, Zn, Cd, and Pb were all lower than the screening levels for unacceptable risks in agricultural land soils. The percentage of Cd content exceeded the risk screening value in all sampling sites, up to 55%, indicating that agricultural soils may significantly be affected by cadmium contamination. Five pollution sources of heavy metals were identified: natural sources, copper mine tailings, agricultural activities, atmospheric depositions, and industrial activities. The contribution rates of the pollution sources were 7%, 13%, 20%, 29%, and 31%, respectively. The spatial pattern of heavy metals was closely aligned with the outputs of the UNMIX model. The foregoing supports the utility of the UNMIX model for the identification of pollution sources of heavy metals, apportionment study, and its implementation in agricultural soils in the Poyang Lake region.

scholarly journals Heavy Metal Pollution and Its Effects on Agriculture

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1719
Author(s):  
Radim Vácha
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Soil Degradation ◽  
Agricultural Soils ◽  
Thematic Strategy

The contamination of agricultural soils by heavy metals is one of the most important methods of soil degradation (EU Soil Thematic Strategy) [...]

scholarly journals Real-Time Detection Method for Heavy Metal Pollution in Soil of Mining Area

2020 ◽  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Real Time ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Detection Method ◽  
Pollution Index ◽  
Mining Area ◽  
Pollution Sources ◽  
Real Time Detection

<p>Solid wastes and acid wastewater lead to the enrichment of heavy metals in the soil of mining area. Heavy metal pollution causes the decline of soil quality, ecosystem degradation, crop yield reduction, and even threatens human health. For this reason, the real-time detection method for heavy metal pollution in mining area is studied. Taking a mining area as an example, the data of heavy metal content in mining area soil are collected by PLSR model. Based on the collected data, the real-time detection model of heavy metal pollution in mining area soil based on improved analytic hierarchy process and weighted average method is adopted to real-time detect the heavy metal pollution index in the soil of mining area. The results show that the pollution index of Cu, Zn and Pb in the soil of this mining area belongs to heavy pollution, and the pollution of Cd is relatively small. Among them, the pollution index of Pb is the largest among the four heavy metals, and the pollution is quite serious. The pollution sources of Pb, Zn and Cu in this mining area are the same, and the pollution sources of Cd are different from those of other three heavy metals.</p>

scholarly journals Identifying the Source of Heavy Metal Pollution and Apportionment in Agricultural Soils Impacted by Different Smelters in China by the Positive Matrix Factorization Model and the Pb Isotope Ratio Method

2021 ◽  
Vol 13 (12) ◽  
pp. 6526
Author(s):  
Danyang Yu ◽  
Jingran Wang ◽  
Yanhong Wang ◽  
Xueli Du ◽  
Guochen Li ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Isotope Ratio ◽  
Agricultural Soil ◽  
Agricultural Soils ◽  
Research Area ◽  
Pollution Sources ◽  
Ratio Method ◽  
Pb Isotope

In this study, the agricultural soil around Zhuzhou Smelter in Zhuzhou district, Hunan, China and Huludao Zinc Plant in Huludao district, Liaoning, China was selected as the research area to discuss the current situation of heavy metal pollution in the surrounding agricultural soil caused by different smelting plants for soil environmental management and sustainable development of soil resources. Eight elements’ (Cd, Pb, As, Hg, Cr, Ni, Cu, and Zn) contents were measured to assess their pollution risk level and spatial distribution distinction. Correlation analysis, the positive matrix factorization (PMF), and Pb isotope ratio method were employed to analyze the sources of soil heavy metal pollution in the research area. The contents of Cd, Pb, Hg, and Zn in the soil of the two research areas were seriously polluted, and the changes of their spatial content were related to the migration and sedimentation of the smelter waste gas. Four types of pollution sources, including the smelting source, agricultural sources, natural sources, and mixed sources of industrial activity and traffic were identified in both areas by PMF, and the contribution rates of the four pollution sources in both areas were similar. Taking the agricultural soil around Huludao Zinc Plant as an example, the contribution rates of the different pollution sources analyzed by Pb isotope ratio method were the lead smelting source (43.7%), followed by the agricultural source (34.6%), traffic source (14.2%), and natural source (7.5%), which were basically consistent with that of PMF analysis, verifying the reliability of the two methods. The results above showed that the smelters were the main cause of heavy metal pollution in agricultural soils around the two research areas, and the analysis results of element content ratio and smelting source characteristic element contribution rate ratio could provide reference for the analysis of heavy metal pollution in agricultural soil around smelters for soil pollution control decision making.

Distribution and partitioning of heavy metals in sediments of the Xinjiang River in Poyang Lake Region, China

2014 ◽  
Vol 34 (3) ◽  
pp. 713-723 ◽  
Author(s):  
Yong Ji ◽  
Jie Zhang ◽  
Ronghui Li ◽  
Baozhu Pan ◽  
Liwei Zhang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Poyang Lake ◽  
Poyang Lake Region ◽  
Lake Region

scholarly journals HEAVY METAL POLLUTION OF AGRICULTURAL SOILS AND VEGETABLES OF BHAKTAPUR DISTRICT, NEPAL

2015 ◽  
Vol 12 (12) ◽  
pp. 48-55 ◽  
Author(s):  
Sadhana Pradhanang Kayastha
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Agricultural Soil ◽  
Agricultural Soils ◽  
Leafy Vegetables ◽  
High Accumulation ◽  
Broad Leaf ◽  
Geo Accumulation

The aim of this study was carried out to assess heavy metals (Cu, Zn, Pb, Cd,) in soils as well as vegetables of respective place of the Bhakatpur District (Manohara, Nagadesh, Bode, Hanumanghat, Sipadol, Tathali and Gundu). The leafy vegetables under this study were Spinach, Cauliflower, Carrot, Cabbage and Broad leaf mustard. The results showed that the concentration of heavy metals in the plants and soils from the Bhakatpur was proportional in the order Zn> Cu>Pb> Cd. Spinach showed the extremely high accumulation tendency towards the heavy metals compare to other vegetables. The geo-accumulation class (Igeo) indicates that the agricultural soil of Hanumanghat, Manohara, Nagadesh and Bode are moderately contaminated of Cd.Scientific World, Vol. 12, No. 12, September 2014, page 48-55  

Distribution and Contamination Status of Heavy Metals in the Surface Sediments along Western Coast of Bali Strait, Banyuwangi

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Defri Yona ◽  
Syarifah Hikmah Julinda Sari ◽  
Anedathama Kretarta ◽  
Citra Ravena Putri Effendy ◽  
Misba Nur Aini ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Contamination Factor ◽  
Pollution Index ◽  
Western Coast ◽  
Sampling Locations ◽  
Accumulation Index ◽  
Geo Accumulation Index ◽  
Geo Accumulation

This study attempted to analyze the distribution and contamination status of heavy metals (Cu, Fe and Zn) along western coast of Bali Strait in Banyuwangi, East Java. Bali Strait is one of the many straits in Indonesia with high fisheries activities that could potentially contributed to high heavy metal pollution. There were five sampling areas from the north to south: Pantai Watu Dodol, Pantai Kalipuro, Ketapang Port, Pantai Boom and Muncar as the fish landing area. Heavy metal pollution in these locations comes from many different activities such as tourism, fish capture and fish industry and also domestic activities. Contamination factor (CF), geo-accumulation index (Igeo) and enrichment factor (EF) of each heavy metal were calculated to obtain contamination status of the research area. The concentrations of Fe were observed the highest (1.5-129.9 mg/kg) followed by Zn (13.2-23.5 mg/kg) and Cu (2.2-7.8 mg/kg). The distribution of Cu, Fe and Zn showed variability among the sampling locations in which high concentrations of Cu and Zn were higher in Ketapang Port, whereas high concentration of Fe was high in almost all sampling locations. According to the pollution index, contamination factors of Cu, Fe and Zn were low (CF < 1 and Igeo < 1). However, high index of EF (> 50) showed high influence of the anthropogenic activities to the contribution of the metals to the environment. This could also because of the high background value used in the calculation of the index due to the difficulties in finding background value from the sampling areas.Keywords: heavy metals, pollution index, contamination factor, geo-accumulation index, Bali Strait

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