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Li F, Gong Y, Yang X, Jiang Y, Cen Y, Zhang Z. Distribution characteristics and integrated ecological risks evaluation modelling of microplastics and heavy metals in geological high background soil. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 944:173602. [PMID: 38848909 DOI: 10.1016/j.scitotenv.2024.173602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/11/2024] [Accepted: 05/26/2024] [Indexed: 06/09/2024]
Abstract
The microplastics (MPs), a novel pollutant, and heavy metals (HMs) significantly affect soil ecology. The study investigated HMs and MPs in Qianxi's high geological background soil, established a model for risk evaluation with MPs types and shapes, and proposed a two-dimensional comprehensive index model for MPs-HMs combined pollution and risk evaluation criterion. The results revealed a high soil Cd concentration, with a mean value of 0.38 mg·kg-1. Additionally, soils from soybean-wheat intercropping-potato-corn rotation (SWI-PCR) exhibited significantly higher concentrations of Hg, As, and Pb compared with those from soybean-wheat intercropping-corn rotation (SWI-CR). Moreover, the soil exhibited a high abundance of MPs (8667.66 ± 3864.26 items·kg-1), mainly characterized by PS and fiber. The mean of adjusted ecological risk index (ARI) for MPs in soil was 525.27, indicating a grade 3 risk. The two-dimensional combined index (TPI) was used to assess the ecological risk of MPs-HMs combined pollution, exhibiting an exceedance rate of 56 % with a mean of 445.07. The risk level of the combined pollution was graded as 6, indicating high risk. The microplastic risk evaluation model and the comprehensive evaluation method of combined pollution established in this study provide a reference for the future risk evaluation of multi-pollutant combined pollution.
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Affiliation(s)
- Fupeng Li
- Key Laboratory of Kast Georesources and Environment, Ministry of Education, Guizhou University, Guiyang 550025, China
| | - Yufeng Gong
- School of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, Guizhou, China
| | - Xiuyuan Yang
- College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, Guizhou, China
| | - Yongcheng Jiang
- College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, Guizhou, China
| | - Yunlei Cen
- Key Laboratory of Kast Georesources and Environment, Ministry of Education, Guizhou University, Guiyang 550025, China
| | - Zhenming Zhang
- Key Laboratory of Kast Georesources and Environment, Ministry of Education, Guizhou University, Guiyang 550025, China; School of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, Guizhou, China; College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, Guizhou, China.
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Fang S, Fang Z, Hua C, Zhu M, Tian Y, Yong X, Yang J, Ren L. Distribution, sources, and risk analysis of heavy metals in sediments of Xiaoqing River basin, Shandong province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:112445-112461. [PMID: 37831261 DOI: 10.1007/s11356-023-30239-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/29/2023] [Indexed: 10/14/2023]
Abstract
The accumulation of heavy metals in river sediment poses a major threat to ecological safety. The Xiaoqing River originates in western Jinan, with higher population density and per capita gross domestic product (GDP) in its basin compared to the Shandong province average. This study analyzed the spatial characteristics, ecological risk, human health risk, and contamination sources of heavy metals by collecting sediment samples from Xiaoqing River. We use the methods such as geo-accumulation index (Igeo), ecological risk assessment based on the interval number sorting method, and health risk assessment to evaluate the risk of heavy metals in sediments. The research finding suggests heavy metals including Pb, As, Ni, and Cr are low ecological risks, while Hg and Cd have reached high and extreme ecological risks. Correlation analysis and principal component analysis were used to analyze the correlation and sources of different heavy metals. The six heavy metals were categorized into three groups. Factor 1, comprising Hg, Cr, and Pb, was identified as a mixed source with a contribution rate of 37.76%. Factor 2 is an agricultural source and comprises Ni, Cd, and As with a contribution rate of 27.05%. Factor 3 includes Pb and Ni contributing to 15.30% as a natural source. This study offers valuable insights for the prevention of heavy metal pollution, as well as promoting sustainable urban development.
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Affiliation(s)
- Shumin Fang
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Zhaotong Fang
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Chunyu Hua
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Mengyuan Zhu
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Yueru Tian
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Xian Yong
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Jiaying Yang
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China
| | - Lijun Ren
- School of Environmental Science and Engineering, Shandong University, Shandong Province, 72# Binhai Road, Jimo, 266235, People's Republic of China.
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Luo Y, Wang Z, Zhang ZL, Zhang JQ, Zeng QP, Tian D, Li C, Huang FY, Chen S, Chen L. Contamination characteristics and source analysis of potentially toxic elements in dustfall-soil-crop systems near non-ferrous mining areas of Yunnan, southwestern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 882:163575. [PMID: 37075998 DOI: 10.1016/j.scitotenv.2023.163575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 04/14/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023]
Abstract
Potentially toxic elements (PTEs) in the dustfall-soil-crop system pose a serious threat to the ecological environment and agricultural production. However, there is still a knowledge gap in terms of better understanding the distinctive sources of PTEs by integrating various models and technologies. In this study, we comprehensively investigated the concentrations, distribution, and sources of seven PTEs in a dustfall-soil-crop system (424 samples in total) near a typical non-ferrous mining area, using absolute principal component score/multiple linear regression (APCS/MLR) combined with X-ray diffraction (XRD) and microscopy techniques. Our results showed that the mean values of As, Cd, Cr, Cu, Ni, Pb, and Zn in the soils were 211, 14, 105, 91, 65, 232, and 325 mg/kg, respectively. These values were significantly higher than the background soil values in Yunnan. Except for Ni and Cr, all elements in the soil were significantly higher than the screening values of agricultural lands in China. The spatial distribution of PTE concentrations was similar among the three media. The ACPS/MLR, XRD, and microscopy analyses further indicated that soil PTEs mainly originated from industrial activities (37 %), vehicle emissions and agricultural activities (29 %), respectively. Dustfall PTEs mainly originated from vehicle emissions and industrial activities, accounting for 40 % and 37 %, respectively. Crop PTEs mainly originated from vehicle emissions and soil (57 %), and agricultural activities (11 %), respectively. PTEs seriously threaten the safety of agricultural products and the ecological environment once they settle from the atmosphere to soil and crop leaves, further accumulate in crops, and spread through the food chain. Therefore, our study provides scientific evidence for government regulators to control PTE pollution and reduce their environmental risks in dustfall-soil-crop systems.
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Affiliation(s)
- Ying Luo
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Zhe Wang
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China.
| | - Zhen-Long Zhang
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Jia-Qian Zhang
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Qiu-Ping Zeng
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Duan Tian
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Chao Li
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Feng-Yu Huang
- School of Environment and Resources, Xichang University, Xichang, Sichuan 615000, China
| | - Shu Chen
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
| | - Li Chen
- College of Environment and Resources, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China; College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
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