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
  • [31] Distribution of nutrients and heavy metals in surface sediments of Shijiu lake and its pollution assessment
    Li Z.
    Wu S.
    Zhu X.
    Guo L.
    Xiao P.
    Xu J.
    Water Resources Protection, 2020, 36 (02) : 73 - 78
  • [32] Radionuclides and heavy metals in the Kerch Strait sediments: Spatial distribution, fluxes and pollution loads
    Gurov, Konstantin I.
    Kotelyanets, Ekaterina A.
    Zhuravleva, Anna A.
    Kremenchutskii, Dmitrii A.
    CONTINENTAL SHELF RESEARCH, 2025, 285
  • [33] Spatial-temporal Distribution and Pollution Assessment of Heavy Metals in Sediments of the Yellow River
    Wang T.-Y.
    Pan B.-Z.
    Han X.
    Wang Y.-Z.
    Li C.-H.
    Du L.
    Huanjing Kexue/Environmental Science, 2022, 43 (05): : 2467 - 2475
  • [34] The concentration distribution and pollution assessment of heavy metals in surface sediments of the Bohai Bay, China
    Ding, Xigui
    Ye, Siyuan
    Laws, Edward A.
    Mozdzer, Thomas J.
    Yuan, Hongming
    Zhao, Guangming
    Yang, Shixiong
    He, Lei
    Wang, Jin
    MARINE POLLUTION BULLETIN, 2019, 149
  • [35] Pollution characteristics, distribution and risk level of heavy metals in sediments of the Yangtze River estuary
    Liu, Xingpo
    Ding, Chen
    Qin, Hailong
    Zhang, Yiqing
    Jiang, Yunqi
    Li, Zhiheng
    Wu, Jiangshuai
    Cheng, Haifeng
    HELIYON, 2024, 10 (07)
  • [36] Distribution and pollution assessment of heavy metals in surface sediments along the Weihai coast, China
    Wu, Zhen
    Liu, Longlong
    Zhang, Xianxia
    Jiang, Shenghui
    Gao, Junfeng
    Zhang, Shengjiang
    MARINE POLLUTION BULLETIN, 2023, 190
  • [37] Ecological risk assessment and source tracing of heavy metals in surface sediments of a hilly riverine reservoir in Chongqing, China
    Liang Ao
    Ruiting Chang
    Yanqiu Tang
    Sheng Zhang
    Environmental Sciences Europe, 36
  • [38] Distribution, source and pollution assessment of heavy metals in the surface sediments of the Yangtze River Estuary and its adjacent East China Sea
    Zhuang, Wen
    Zhou, Fengxia
    MARINE POLLUTION BULLETIN, 2021, 164
  • [39] Spatial Distribution, Ecological Risk Assessment and Source Analysis of Heavy Metals Pollution in Urban Lake Sediments of Huaihe River Basin
    Wu, Dun
    Liu, Hai
    Wu, Jian
    Gao, Xia
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (22)
  • [40] Ecological risk assessment and source tracing of heavy metals in surface sediments of a hilly riverine reservoir in Chongqing, China
    Ao, Liang
    Chang, Ruiting
    Tang, Yanqiu
    Zhang, Sheng
    ENVIRONMENTAL SCIENCES EUROPE, 2024, 36 (01)