Heavy metals pollution in riverine sediments: Distribution, source, and environmental implications

被引:0
|
作者
Khan, Kifayatullah [1 ,2 ]
Younas, Muhammad [2 ]
Yaseen, Muhammad [3 ]
Sher, Hassan [4 ]
Maryam, Afsheen [2 ,5 ]
Ibrahim, Sobhy M. [6 ]
Adnan, Adnan [7 ]
Ali, Ahmad [4 ]
Fawad, Muhammad [8 ]
Khan, Akhtar Zeb [2 ]
Khan, Nasrullah [2 ]
Shah, Izaz Ali [9 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[2] Univ Swat, Dept Environm & Conservat Sci, Swat 19120, Pakistan
[3] Univ Peshawar, Inst Chem Sci, Peshawar 25120, Pakistan
[4] Univ Swat, Ctr Plant Sci & Biodivers, Swat 19120, Pakistan
[5] Stockholm Univ, Inst Miljovetenskap, Dept Environm Sci, ACES b, S-10691 Stockholm, Sweden
[6] King Saud Univ, Coll Sci, Dept Biochem, POB 2455, Riyadh 11451, Saudi Arabia
[7] Univ Swat, Inst Chem Sci, Swat 19120, Pakistan
[8] Univ Haripur, Dept Environm Sci, Haripur 22620, Pakistan
[9] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100875, Peoples R China
关键词
Riverine sediments; Heavy metals; Ecological risks; Multivariate analysis; River Kabul; ECOLOGICAL RISK-ASSESSMENT; SURFACE SEDIMENTS; SOURCE IDENTIFICATION; YANGTZE-RIVER; SOURCE APPORTIONMENT; SURFICIAL SEDIMENTS; AGRICULTURAL SOILS; HEALTH-RISKS; TRACE-METALS; ESTUARY;
D O I
10.1007/s10661-025-13623-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This research reports heavy metal pollution in riverine sediments from River Kabul, Pakistan, which could endanger human health and ecology via the food web. The results revealed a substantial special variation in the average contents (mg/kg) of chromium (Cr), manganese (Mn), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), cadmium (Cd), mercury (Hg), lead (Pb), iron (Fe), and aluminum (Al) in riverine sediments, in the order of Fe (20,234.51) > Al (17,550.86) > Mn (375.45) > Zn (149.08) > Ni (89.11) > Cr (83.36) > Pb (45.29) > Cu (19.86) > Cd (7.48) > Co (6.28) > Hg (0.81). Among the heavy metals, Cd exhibited the highest degree of pollution along the river, followed by Hg > Ni > Zn > Pb > Al > Cr > Mn > Fe > Cu > Co. The overall contamination factor (CF) values for the sum of heavy metals were highest at monitoring site S-9, followed by S-8 > S-10 > S-6 > S-5 > S-7 > S-1 > S-4 > S-12 > S-3 > S-2 > S-1 with pollution load index (PLI) > 1, whereas the geo-accumulation index (Igeo) values of Cd and Hg fluctuated between Levels 3, 4, and 6, suggesting moderate to extreme pollution in the river. The correlation statistics determined the fate and distribution of heavy metals by establishing significant positive correlations between the specific metals of bounded sediments. The cluster analysis separates the correlated metals into Groups A and B, and Groups 1 and 2. While the principal component analysis evaluates the qualitative behavior of clustering by discerning industrial, agrochemicals, mining, and domestic wastewater discharges, leakages of lubricants along with multiple geogenic inputs, erosion of mafic and ultramafic rocks, and minimal atmospheric deposition are all potential sources of Cr, Mn, Co, Ni, Cu, Zn, Cd, Hg, Pb, Fe, and Al contamination. In terms of risk, the contaminations of Mn, Co, Cu, Zn, and Pb in riverine sediments were 85, 100, 100, 17, and 11%, respectively, representing a rare biological influence because their value is less than their corresponding threshold effect concentrations (TECs), whereas the levels of Mn, Ni, Cd, and Hg were above their probable effect concentrations (PECs) of 100, 100, 81, and 52%, respectively, representing prominent adverse biological influence. Based on consensus-based TECs and PECs, the contamination levels of Cr, Mn, Zn, Cd, Hg, and Pb were 100, 85, 83, 19, 48, and 90%, respectively, indicating occasionally exhibited adverse biological effects on the riverine population. Besides, the overall potential ecological risk index (PERI) of Cd and Hg, in particular, exhibited the maximum pollution level (E-r(i) >= 320), suggesting a very high potential ecological risk in the drainage that requires special attention from pollution control authorities.
引用
收藏
页数:19
相关论文
共 50 条
  • [11] Distribution and pollution assessment of heavy metals in surface sediments in the Yellow Sea
    Jiang, Xin
    Teng, Ankang
    Xu, Wenzhe
    Liu, Xiaoshou
    MARINE POLLUTION BULLETIN, 2014, 83 (01) : 366 - 375
  • [12] Distribution Characteristics and Pollution Assessment of Heavy Metals in Sediments of Zhushan Bay
    Chen, Fangyuan
    Chen, Xinmin
    Zhu, Fan
    Sun, Qi
    5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL ENGINEERING, 2019, 358
  • [14] The source of natural and anthropogenic heavy metals in the sediments of the Minjiang River Estuary (SE China): Implications for historical pollution
    Xu, Yonghang
    Sun, Qinqin
    Yi, Liang
    Yin, Xijie
    Wang, Aijun
    Li, Yunhai
    Chen, Jian
    SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 493 : 729 - 736
  • [15] The source of natural and anthropogenic heavy metals in the sediments of the Minjiang River Estuary (SE China): Implications for historical pollution
    Xu, Yonghang
    Sun, Qinqin
    Yi, Liang
    Yin, Xijie
    Wang, Aijun
    Li, Yunhai
    Chen, Jian
    Science of the Total Environment, 2014, 493 : 729 - 736
  • [16] Distribution, Assessment, and Source of Heavy Metals in Sediments of the Qinjiang River, China
    Zhang, Shuncun
    Chen, Bo
    Du, Junru
    Wang, Tao
    Shi, Haixin
    Wang, Feng
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (15)
  • [17] Spatial distribution and risk assessment of heavy metals and As pollution in the sediments of a shallow lake
    Deng, Jiancai
    Wang, Yuansheng
    Liu, Xin
    Hu, Weiping
    Zhu, Jinge
    Zhu, Lin
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (05)
  • [18] Spatial distribution and risk assessment of heavy metals and As pollution in the sediments of a shallow lake
    Jiancai Deng
    Yuansheng Wang
    Xin Liu
    Weiping Hu
    Jinge Zhu
    Lin Zhu
    Environmental Monitoring and Assessment, 2016, 188
  • [19] Spatio-temporal distribution of the heavy metals pollution in the sediments of Minjiang Estuary
    Sun, Qinqin
    Luo, Meixue
    Ji, Houde
    ADVANCES IN ENERGY AND ENVIRONMENT RESEARCH, 2017, : 203 - 206
  • [20] Distribution Characteristics and Pollution Assessments of Heavy Metals in Sediments from Zhangweinan Canal
    Li, Guoliang
    Chen, Qiuwen
    PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS I AND II, 2013, : 3522 - 3529