Quantifying Source Apportionment, Co-occurrence, and Ecotoxicological Risk of Metals from Upstream, Lower Midstream, and Downstream River Segments, Bangladesh.
Agriculture
Arsenic
/ analysis
Bangladesh
Cadmium
/ analysis
Chromium
/ analysis
Ecosystem
Ecotoxicology
Environmental Monitoring
/ methods
Environmental Pollutants
/ analysis
Geologic Sediments
/ chemistry
Metals, Heavy
/ analysis
Risk Assessment
Rivers
/ chemistry
Water Pollutants, Chemical
/ analysis
Bangladesh
Co-occurrence network
Metal sources
Positive matrix factorization
Potential ecological risk
Toxicity unit
Journal
Environmental toxicology and chemistry
ISSN: 1552-8618
Titre abrégé: Environ Toxicol Chem
Pays: United States
ID NLM: 8308958
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
received:
17
05
2020
revised:
10
06
2020
accepted:
06
07
2020
pubmed:
8
7
2020
medline:
9
2
2021
entrez:
8
7
2020
Statut:
ppublish
Résumé
The positive matrix factorization (PMF) receptor model was used for the first time to quantify the source contributions to heavy metal pollution of sediment on a national basin scale in the upstream, midstream, and downstream rivers (Teesta and Kortoya-Shitalakkah and Meghna-Rupsha and Pasur) of Bangladesh. The metal contamination status, co-occurrence, and ecotoxicological risk were also investigated. Sediment samples were collected from 30 sites at a depth range of 0 to 20 cm for analysis of 9 metals using inductively coupled plasma-mass spectrometry. The mean concentrations of metals varied for upstream, lower midstream, and downstream river segments. The results showed that chromium (Cr) exhibited a strong significant co-occurrence network with other metals (e.g., manganese [Mn], iron [Fe], and nickel [Ni]). Monte Carlo simulation results of the geo-accumulation index (Igeo; 63.3%) and risk indices (48.5%) showed that cadmium (Cd) was the main contributor to sediment pollution. However, the cumulative probabilities of sediments being polluted by metals were ranked as "moderate to heavily polluted" (Igeo 46.6%; risk index 16.7%). Toxicity unit results revealed that zinc (Zn) and Cd were the key toxic contributors to sediments. The PMF model predicted metal concentrations and identified 4 potential sources. The agricultural source (factor 1) mostly contributed to copper (Cu; 78.9%) and arsenic (As; 62.8%); Ni (96.9%) and Mn (83.5%) exhibited industrial point sources (factor 2), with 2 hot spots in northwestern and southwestern regions. Cadmium (93.5%) had anthropogenic point sources (factor 3), and Fe (64.3%) and Cr (53.5%) had a mixed source (factor 4). Spatially, similar patterns between PMF apportioning factors and predicted metal sources were identified, showing the efficiency of the model for river systems analysis. The degree of metal contamination in the river segments suggests an alarming condition for biotic components of the ecosystem. Environ Toxicol Chem 2020;39:2041-2054. © 2020 SETAC.
Substances chimiques
Environmental Pollutants
0
Metals, Heavy
0
Water Pollutants, Chemical
0
Cadmium
00BH33GNGH
Chromium
0R0008Q3JB
Arsenic
N712M78A8G
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2041-2054Informations de copyright
© 2020 SETAC.
Références
Ahsan MA, Satter F, Siddique MAB, Akbor MA, Shamim A, Shajahan M, Khan R. 2019. Chemical and physicochemical characterization of effluents from the tanning and textile industries in Bangladesh with multivariate statistical approach. Environ Monit Assess 191:575.
Ali MM, Ali ML, Islam MS, Rahman MZ. 2018. Assessment of toxic metals in water and sediment of Pasur River in Bangladesh. Water Sci Technol 77:1418-1430.
Armid A, Shinjo R, Zaeni A, Sani A, Ruslan R. 2014. The distribution of heavy metals including Pb, Cd and Cr in Kendari Bay surficial sediments. Mar Pollut Bull 84:373-378.
Barberán A, Bates ST, Casamayor EO, Fierer N. 2012. Using network analysis to explore co-occurrence patterns in soil microbial communities. ISME J 6:343-351.
Barik SK, Muduli PR, Mohanty B, Rath P, Samanta S. 2018. Spatial distribution and potential biological risk of some metals in relation to granulometric content in core sediments from Chilika Lake, India. Environ Sci Pollut Res 25:572-587.
Bhuiyan MAH, Dampare SB, Islam MA, Suzuki S. 2015. Source apportionment and pollution evaluation of heavy metals in water and sediments of Buriganga River, Bangladesh, using multivariate analysis and pollution evaluation indices. Environ Monit Assess 187:4075.
Bhuiyan MS, Bakar MA, Akhtar A, Hossain MB, Ali MM, Islam MS. 2017. Heavy metal contamination in surface water and sediment of the Meghna River, Bangladesh. Environ Nanotechnol Monit Manag 8:273-279.
Bhuiyan MS, Bakar MA, Rashed-Un-Nabi M, Senapathi V, Chung SY, Islam MS. 2019. Monitoring and assessment of heavy metal contamination in surface water and sediment of the Old Brahmaputra River, Bangladesh. Appl Water Sci 9:125.
Bodrud-Doza M, Islam Armt, Ahmed F, Samiran D, Narottam S, Rahman MS. 2016. Characterization of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central Bangladesh. Water Sci 30:19-40.
Dash S, Borah SS, Kalamhad AS. 2020. Application of positive matrix factorization receptor model and elemental analysis for the assessment of sediment contamination and their source apportionment of Deepor Beel, Assam, India. Ecol Indic 114:106291.
Daskalakis KD, O'Connor TP. 1995. Normalization and elemental sediment contamination in the coastal United States. Environ Sci Technol 29:470-477.
Fishman G. 2013. Monte Carlo: Concepts, Algorithms, and Applications. Springer Science & Business Media, New York, NY, USA.
Frimpong SK, Koranteng SS. 2019. Levels and human health risk assessment of heavy metals in surface soil of public parks in Southern Ghana. Environ Monit Assess 191:588.
Gall JE, Boyd RS, Rajakaruna N. 2015. Transfer of heavy metals through terrestrial food webs: A review. Environ Monit Assess 187:201.
García-Gaines RA, Frankenstein S. 2015. USCS and the USDA Soil Classification System: Development of a mapping scheme. ERDC/CRREL-TR-15-4. Engineer Research and Development Center, Hanover, NH, Cold Regions Research and Engineering Laboratory, UPRM and ERDC Educational and Research Internship Program. US Army Corps of Engineers, Washington, DC, USA.
Ginebreda A, Kuzmanovic M, Guasch H, Lopez de Alda M, Lopez-Doval JC, Munoz I, Ricart M, Romani AM, Sabater S, Barcelo D. 2014. Assessment of multi-chemical pollution in aquatic ecosystems using toxic units: Compound prioritization, mixture characterization and relationships with biological descriptors. Sci Total Environ 468:715-723.
Guan J, Wang J, Pan H, Yang C, Qu J, Lu N, Yuan X. 2018. Heavy metals in Yinma River sediment in a major Phaeozems zone, Northeast China: Distribution, chemical fraction, contamination assessment and source apportionment. Scientific Reports 8:12231.
Habib MA, Basuki T, Miyashita S, Bekelesi W, Nakashima S, Phoungthong K, Khan R, Rashid MB, Islam ARMT, Techato K. 2019. Distribution of naturally occurring radionuclides in soil around a coal-based power plant and their potential radiological risk assessment. Radiochim Acta 107:243-259.
Habib MA, Islam ARMT, Bodrud-Doza M, Mukta FA, Khan R, Siddique MAB, Phoungthong K, Techato K. 2020. Simultaneous appraisals of pathway and probable health risk associated with trace metals contamination in groundwater from Barapukuria coal basin, Bangladesh. Chemosphere 242:125183.
Hakanson L. 1980. An ecological risk index for aquatic pollution control-A sedimentological approach. Water Res 14:975-1001.
Hemann JG, Brinkman GL, Dutton SJ, Hannigan MP, Milford JB, Miller SL. 2009. Assessing positive matrix factorization model fit: A new method to estimate uncertainty and bias in factor contributions at the measurement time scale. Atmos Chem Phys 9:497-513.
Hopke PK. 2003. Recent developments in receptor modeling. J Chemom 17:255-265.
Islam ARMT, Mamun AA, Rahman MM, Zahid A. 2020a. Simultaneous comparison of modified-integrated water quality and entropy weighted indices: Implication for safe drinking water in the coastal region of Bangladesh. Ecol Indic 113:106229.
Islam ARMT, Islam HMT, Mia MU, Khan R, Habib MA, Bodrud-Doza M, Siddique MAB, Chu R. 2020b. Co-distribution, possible origins, status and potential health risk of trace elements in surface water sources from six major river basin, Bangladesh. Chemosphere 249:126180.
Islam MS, Ahmed MK, Raknuzzaman M, Habibullah-Al-Mamun M, Islam MK. 2015. Heavy metal pollution in surface water and sediment: A preliminary assessment of an urban river in a developing country. Ecol Indic 48:282-291.
Islam MS, Hossain MB, Matin A, Islam Sarker MS. 2018. Assessment of heavy metal pollution, distribution and source apportionment in the sediment from Feni River estuary, Bangladesh. Chemosphere 202:25-32.
Ji ZH, Zhang Y, Zhang H, Huang CX, Pei YS. 2019. Fraction spatial distributions and ecological risk assessment of heavy metals in the sediments of Baiyangdian Lake. Ecotoxicol Environ Saf 174:417-428.
Khan R, Das S, Kabir S, Habib MA, Naher K, Islam MA, Tamim U, Rahman AKMR, Deb AK, Hossain SM. 2019. Evaluation of the elemental distribution in soil samples collected from ship-breaking areas and an adjacent island. J Environ Chem Eng 7.
Khan R, Islam MS, Tareq ARM, Naher K, Islam ARMT, Habib MA, Siddique MAB, Islam MA, Das S, Rashid MB, Ullah AKMA, Mia MMH, Masrura SU, Modrud-Doza M, Sarker MR, Badruzzaman ABM. 2020. Distribution, sources and ecological risk of trace elements and polycyclic aromatic hydrocarbons in sediments from a polluted urban river in central Bangladesh. Environ Nanotechnol Monit Manag 14:100318.
Khan R, Shirai N, Ebihara M. 2015a. Chemical characteristics of R chondrites in the light of REE, Th, U and P abundances. Earth Planet Sci Lett 422:18-27.
Khan R, Yokozuka Y, Terai S, Shirai N, Ebihara M. 2015b. Accurate determination of Zn in geological and cosmochemical rock samples by isotope dilution inductively coupled plasma mass spectrometry. J Anal At Spectrom 30:506-514.
Kükrer S. 2018. Vertical and horizontal distribution, source identification, ecological and toxic risk assessment of heavy metals in sediments of Lake Aygır, Kars, Turkey. Environ Forensics 19:122-133.
Larsen RK, Baker JE. 2003. Source apportionment of polycyclic aromatic hydrocarbons in the urban atmosphere: A comparison of three methods. Environ Sci Technol 37:1873-1881.
Li J. 2014. Risk assessment of heavy metals in surface sediments from the Yanghe River, China. Int J Environ Res Public Health 11:12441-12453.
Li Y, Lin Y, Wang L. 2018. Distribution of heavy metals in seafloor sediments on the East China Sea inner shelf: Seasonal variations and typhoon impact. Mar Pollut Bull 129:534-544.
Liu L, Dong Y, Kong M, Zhou J, Zhao H, Tang Z, Zhang M, Wang Z. 2020. Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models. Chemosphere 242:125272.
Liu LL, Wang ZP, Ju F, Zhang T. 2015. Co-occurrence correlations of heavy metals in sediments revealed using network analysis. Chemosphere 119:1305-1313.
Liu Y, Huang H, Sun T, Yuan Y, Pan Y, Xie Y, Fan Z, Wang X. 2018. Comprehensive risk assessment and source apportionment of heavy metal contamination in the surface sediment of the Yangtze River Anqing section, China. Environ Earth Sci 77:493.
Ma X, Zuo H, Tian M. 2016. Assessment of trace elements contamination in sediments from three adjacent regions of the Yellow River using element chemical fractions and multivariate analysis techniques. Chemosphere 144:264-272.
Marshal TJ. 1947. Mechanical composition of soil in relation to field descriptions of texture. Bulletin 224. Council for Scientific and Industrial Research, Canberra, ACT, Australia.
Mehr MR, Keshavarzi B, Sorooshian A. 2019. Influence of natural and urban emissions on rainwater chemistry at a southwestern Iran coastal site. Sci Total Environ 668:1213-1221.
Men C, Liu RM, Wang QR, Guo LJ, Miao YX, Shen ZY. 2019. Uncertainty analysis in source apportionment of heavy metals in road dust based on positive matrix factorization model and geographic information system. Sci Total Environ 652:27-39.
Muller G. 1979. Schwermetalle in den sedimenten des Rheins, Veranderungen Seit 1971. Umschau 79:778-783.
Nguyen BT, Do DD, Nguyen TX, Nguyen VN, Nguyen DTP, Nguyen MH, Truong HTT, Dong HP, Le AH, Bach q-V. 2020. Seasonal, spatial variation, and pollution sources of heavy metals in the sediment of the Saigon River, Vietnam. Environ Pollut 256:113412.
Niu Y, Jiang X, Wang K, Xia J, Jiao W, Niu Y, Yu H. 2020. Meta analysis of heavy metal pollution and sources in surface sediments of Lake Taihu, China. Sci Total Environ 700:134509.
Paatero P. 1997. Least squares formulation of robust non-negative factor analysis. Chemometr Intell Lab Syst 37:23-35.
Pant RR, Zhang F, Rehman FU, Koirala M, Rijal K, Maskey R. 2020. Spatiotemporal characterization of dissolved trace elements in the Gandaki River, Central Himalaya Nepal. J Hazard Mater 389:121913.
Pedersen F, Bjørnestad E, Andersen HV, Kjølholt J, Poll C. 1998. Characterization of sediments from Copenhagen Harbour by use of biotests. Water Sci Technol 37:233-240.
Polissar AV, Hopke PK, Paatero P, Malm WC, Sisler JF. 1998. Atmospheric aerosol over Alaska 2. Elemental composition and sources. J Geophys Res 103:19045-19057.
Proshad R, Kormoker T, Islam S. 2019. Distribution, source identification, ecological and health risks of heavy metals in surface sediments of the Rupsa River, Bangladesh. Toxin Rev 1-25.
Qu C, Li B, Wu H, Wang S, Li F. 2016. Probabilistic ecological risk assessment of heavy metals in sediments from China's major aquatic bodies. Stoch Environ Res Risk Assess 30:271-282.
Rahman MS, Islam ARMT. 2019. Are precipitation concentration and intensity changing in Bangladesh overtimes? Analysis of the possible causes of changes in precipitation systems. Sci Total Environ 690:370-387.
Ran X, Yue H, Fu X, Kang Y, Xu S, Yang Y, Wu Z. 2015. The response and detoxification strategies of three freshwater phytoplankton species, Aphanizomenonflos-aquae, Pediastrum simplex, and Synedra acus, to cadmium. Environ Sci Pollut Res 22:19596-19606.
Rudnick RL, Gao S. 2014. Composition of the Continental Crust. Treatise on Geochemistry 3:1-51.
Sakan SM, Đorđević DS, Manojlović DD, Predrag PS. 2009. Assessment of heavy metal pollutants accumulation in the Tisza river sediments. J Environ Manage 90:3382-3390.
Schumacher BA. 2002. Methods for the determination of total organic carbon (TOC) in soils and sediments. Environmental Sciences Division, National Exposure Research Laboratory, Ecological Risk Assessment Support Center, Office of Research and Development, US Environmental Protection Agency, Washington, DC, pp 1-25.
Siddiqui E, Pandey J. 2019. Assessment of heavy metal pollution in water and surface sediment and evaluation of ecological risks associated with sediment contamination in the Ganga River: A basin-scale study. Environ Sci Pollut Res 26:10926-10940.
Suresh G, Ramasamy V, Meenakshisundaram V, Venkatachalapathy R, Ponnusamy V. 2011. Influence of mineralogical and heavy metal composition on natural radionuclide concentrations in the river sediments. Appl Radiat Isot 69:1466-1474.
Tamim U, Khan R, Jolly YN, Fatema K, Das S, Naher K, Islam MA, Islam SMA, Hossain SM. 2016. Elemental distribution of metals in urban river sediments near an industrial effluent source. Chemosphere 155:509-518.
Tang W, Zhang C, Zhao Y, Shan B, Song Z. 2017. Pollution, toxicity, and ecological risk of heavy metals in surface river sediments of a large basin undergoing rapid economic development. Environ Toxicol Chem 36:1149-1155.
Thevenon F, Alencastro LFD, Loizeau JL, Adatte T, Grandjean D, Wildi W, Pote J. 2013. A high-resolution historical sediment record of nutrients, trace elements and organochlorines (DDT and PCB) deposition in a drinking water chlorobiphenyls in reservoir (Lake Bret, Switzerland) points at local and regional pollutant sources. Chemosphere 90:2444-2452.
US Environmental Protection Agency. 2014. Positive Matrix Factorization (PMF) 5.0 Fundamentals and User Guide. Office of Air Quality Planning and Standards, Research Triangle Park, NC.
Ustaoğlua F, Islam MS. 2020. Potential toxic elements in sediment of some rivers at Giresun, Northeast Turkey: A preliminary assessment for ecotoxicological status and health risk. Ecol Indic 113:106237.
Varol M. 2011. Assessment of heavy metal contamination in sediments of the Tigris River (Turkey) using pollution indices and multivariate statistical techniques. J Hazard Mater 195:355-364.
Wang X, Gu Y, Tan X. 2019. Yunguo Liu functionalized biochar/clay composites for reducing the bioavailable fraction of arsenic and cadmium in river sediment. Environ Toxicol Chem 38:2337-2347.
Xia F, Zhang C, Qu L, Song Q, Ji X, Mei K, Dahlgren RA, Zhang M. 2020. A comprehensive analysis and source apportionment of metals in riverine sediments of a rural-urban watershed. J Hazard Mater 381:121230.
Xiao L, Guan D, Chen Y, Dai J, Ding W, Peart MR, Zhang C. 2019. Distribution and availability of heavy metals in soils near electroplating factories. Environ Sci Pollut Res 26:22596-22610.
Xiao R, Bai JH, Gao HF, Wang JJ, Huang LB, Liu PP. 2012. Distribution and contamination assessment of heavy metals in water and soils from the college town in the Pearl River Delta, China. Clean Water 40:1167-1173.
Xu X, Huang R, Liu J, Shu Y. 2019. Fractionation and release of Cd, Cu, Pb, Mn, and Zn from historically contaminated river sediment in Southern China: Effect of time and pH. Environ Toxicol Chem 38:464-473.
Zhang GL, Bai JH, Xiao R, Zhao QQ, Jia J, Cui BS, Liu XH. 2017. Heavy metal fractions and ecological risk assessment in sediments from urban, rural and reclamation-affected rivers of the Pearl River Estuary, China. Chemosphere 184:278-288.
Zhang Z, Lu Y, Li H, Tu Y, Liu B, Yang Z. 2018. Assessment of heavy metal contamination, distribution and source identification in the sediments from the Zijiang River, China. Sci Total Environ 645:235-243.
Zheng N, Wang Q, Liang Z, Zheng D. 2008. Characterization of heavy metal concentrations in the sediments of three freshwater rivers in Huludao City, Northeast China. Environ Pollut 154:135-142.
Zhu YG, Gillings M, Simonet P, Stekel D, Banwart S, Penuelas J. 2017. Microbial mass movements. Science 357:1099-1100.