Heavy metal capture from the suspended particulate matter by Morus alba and evidence of foliar uptake and translocation of PM associated zinc using radiotracer (65Zn)

Chemosphere ◽  
2020 ◽  
Vol 254 ◽  
pp. 126863 ◽  
Author(s):  
Priyanka Sharma ◽  
Poonam Yadav ◽  
Chirashree Ghosh ◽  
Bhupinder Singh
2011 ◽  
Vol 184 (12) ◽  
pp. 7113-7124 ◽  
Author(s):  
Ahmet Demirak ◽  
Hanife Aydın Yılmaz ◽  
Feyyaz Keskin ◽  
Yalçın Şahin ◽  
Oğuz Akpolat

2006 ◽  
Vol 178 (1-4) ◽  
pp. 373-384 ◽  
Author(s):  
Shaik Basha ◽  
Premsingh Mansingh Gaur ◽  
Ravikumar Bhagwan Thorat ◽  
Rohitkumar Harikrishna Trivedi ◽  
Sandip Kumar Mukhopadhyay ◽  
...  

Author(s):  
Jie Zeng ◽  
Guilin Han ◽  
Qixin Wu ◽  
Yang Tang

To investigate the abundance, water/particle interaction behavior, sources, and potential risk of heavy metals in suspended particulate matter (SPM), a total of 22 SPM samples were collected from the Zhujiang River, Southwest China, in July 2014 (wet season). Nine heavy metal(loid)s (V, Cr, Mn, Ni, Cu, Zn, As, Cd and Pb) in SPM were detected. The results show that the selected heavy metal(loid)s in SPM appear in the following order: Mn (982.4 mg kg−1) > Zn (186.8 mg kg−1) > V (143.6 mg kg−1) > Cr (129.1 mg kg−1) > As (116.8 mg kg−1) > Cu (44.1 mg kg−1) > Ni (39.9 mg kg−1) > Pb (38.1 mg kg−1) > Cd (3.8 mg kg−1). Furthermore, both the enrichment factor (EF) and geo-accumulation index (Igeo) indicate that SPM is extremely enriched in metal(loid)s of Cd and As, while SPM is slightly enriched, or not enriched, in other heavy metals. According to the toxic risk index (TRI) and hazard index (HI), arsenic accounts for the majority of the SPM toxicity (TRI = 8, 48.3 ± 10.4%) and causes the primary health risk (HI > 1), and the potential risks of V and Cr are also not negligible. By applying a correlation matrix and principal component analysis (PCA), three principal components (PC) were identified and accounted for 79.19% of the total variance. PC 1 (V, Cr, Mn, Ni, Cu, and Pb) is controlled by natural origins. PC 2 (As and Cd) is mainly contributed by anthropogenic origins in the basin. PC 3 (Zn) can be attributed to mixed sources of natural and anthropogenic origins. Moreover, all the partition coefficients (lgKd) exceeded 2.9 (arithmetical mean value order: Mn > Pb > Cd > V ≈ Cu > Cr ≈ Ni), indicating the powerful adsorptive ability of SPM for these heavy metal(loid)s during water/particle interaction.


2010 ◽  
Vol 97 (1-2) ◽  
pp. 257-265 ◽  
Author(s):  
Shaik Basha ◽  
Jayaraj Jhala ◽  
Ravi Thorat ◽  
Sangita Goel ◽  
Rohit Trivedi ◽  
...  

2021 ◽  
Author(s):  
Wenye Li ◽  
ZHANG Wenqiang ◽  
SHAN Baoqing ◽  
SUN Baoping ◽  
GUO Xiaoping ◽  
...  

Abstract Suspended particulate matter (SPM) is a major contamination source in urban rivers. In this work, the Beiyun River, northern China, was used as a case study to determine the characteristics of heavy metal spatial distribution in SPM, and to evaluate the potential ecological risks and identify heavy metal sources. The concentration of seven heavy metals and associated indicators (TC, TN, TP, and OM) were measured at 12 sites and analyzed by Pearson correlation (PC) and principal component analyses (PCA). The average concentrations of Cr, Ni, Cu, Zn, As, Cd, and Pb were 70.72, 27.88, 31.35, 115.70, 27.77, 0.23, and 29.62 mg/kg, respectively, and significant spatial differences occurred between some elements. Igeo values indicated the ranking of heavy metal pollution in SPM as As > Cd > Zn > Cu > Pb > Cr > Ni. The Eir analysis demonstrated that the order of potential ecological risk of the seven metals was Cd > As > Cu > Pb > Ni > Cr > Zn. RI (potential ecological risk index) results confirmed high potential ecological risk in objective area. Of the measured heavy metals, Cd represented the highest pollution risk. Significant positive correlations were found between TC, TN, TP, and Cu. Three element pairs, Zn-Cd, Cr-Cu, and Cr-Ni, had strong correlations. Zn, Cu, and Ni were mainly introduced by human activities, and Cr was mainly from natural processes. This information on the concentration, risk, and sources of SPM in Beiyun River provides an important reference for reducing heavy metal pollution in SPM of a typical river in the Haihe River Basin.


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