The Impact of Environmental Variables on Faecal Indicator Bacteria in the Betna River Basin, Bangladesh
Tóm tắt
Environmental variables influence Faecal Indicator Bacteria (FIB) in surface water. Understanding that influence is important, because presence of FIB, which are an indication of faecal contamination, means that harmful pathogens could be present that could also be influenced by environmental variables. Although some recent studies have focused on this topic, most of this work has been conducted in developed countries. Similar studies in developing countries and in a (sub)tropical climate are lacking. In this study we assess the influence of environmental variables on fluctuations in FIB concentrations of the Betna River in southwest Bangladesh that floods almost every year. Monthly water samples from five locations along Betna River were tested for FIB (E. coli and enterococci) in 2014–2015. A linear regression model was developed to assess the effect of the environmental variables on FIB concentrations. The study revealed increased FIB concentrations during wet weather conditions. Precipitation and water temperature were positively correlated with FIB concentrations. Water temperature was positively correlated, because the warm May to September period coincides with frequent precipitation. Precipitation increases manure release from land to surface water. The regression model explains nearly half of the variability in FIB concentrations (R
2
of 0.46 for E. coli and 0.48 for enterococci). This study indicates that increased precipitation combined with higher water temperature, as is expected in this region with climate change, likely increases FIB concentrations. Waterborne pathogens are expected to respond similarly to these environmental changes, indicating that disease outbreaks could well become more frequent and severe.
Tài liệu tham khảo
Abia ALK, Ubomba-Jaswa E, Momba MNB (2015) Impact of seasonal variation on Escherichia coli concentrations in the riverbed sediments in the Apies River, South Africa. Sci Total Environ 537:462–469
ADB (2011) Adapting to climate change: strengthening the climate resilience of the water sector infrastructure in Khulna. Bangladesh, Asian Development Bank, Mandaluyong City, Philippines
Adingra A, Kouadio A, Blé M, Kouassi A (2012) Bacteriological analysis of surface water collected from the grand-Lahou lagoon, Côte d’Ivoire. Afr J Microbiol Res 6:3097–3105
Ahmed N, Bachofen C, Cameron E (2011) Case study-Bangladesh: climate impacts threaten national development. SDCC Learning in Focus, The World Bank, Washington DC
Ahmed W, Yusuf R, Hasan I, Goonetilleke A, Gardner T (2010) Quantitative PCR assay of sewage-associated Bacteroides markers to assess sewage pollution in an urban lake in Dhaka, Bangladesh. Can J Microbiol 56:838–845
An Y-J, Kampbell DH, Peter Breidenbach G (2002) Escherichia coli and total coliforms in water and sediments at lake marinas. Environ Pollut 120:771–778
APHA (1992) Standard methods for the examination of water and wastewater, 18th edn. American Public Health Association, Washington DC
Aragonés L, López I, Palazón A, López-Úbeda R, García C (2016) Evaluation of the quality of coastal bathing waters in Spain through fecal bacteria Escherichia coli and enterococcus. Sci Total Environ 566:288–297
BBS (2011) Population and housing census report 2011. Bangladesh Bureau of Statistics, Ministry of Planning, Government of Bangladesh
Bruhn L, Wolfson L (2007) Bacteria and water quality. In: Lyn C (ed) Citizens Monitoring Bacteria: a Training Manual for Monitoring E. coli, 2nd edn. USA, pp 7–11
Burres E (2009) Surface water ambient monitoring program using IDEXX for fecal indicator bacteria monitoring. SWRCB-Clean Water Team, Canada
Byappanahalli MN, Shively DA, Nevers MB, Sadowsky MJ, Whitman RL (2003) Growth and survival of Escherichia coli and enterococci populations in the macro-alga Cladophora. FEMS Microbiol Ecol 46:203–211
CEGIS (2013) Environmental impact assessment of re-excavation of Betna River in Satkhira District for removal of drainage congestion. Bangladesh Water Development Board
Crowther J, Kay D, Wyer MD (2001) Relationships between microbial water quality and environmental conditions in coastal recreational waters: the Fylde coast, UK. Water Res 35:4029–4038
Dastager SG (2015) Assessment of enteric bacterial indicators and correlation with physico-chemical parameters in Veraval coast, India. Indian J Geo-Marine Sci 44:501–507
Delpla I, Jung A-V, Baures E, Clement M, Thomas O (2009) Impacts of climate change on surface water quality in relation to drinking water production. Environ Int 35:1225–1233
Faruque SM (2014) Food and waterborne diseases. International Centre for Diarrhea and Diarrheal Diseases of Bangladesh (ICDDR'B), Dhaka, Bangladesh. http://www.Icddrb.Org/News-and-events/features?Id=73& task=view. Accessed 12 Nov 2015
Freeman J, Anderson D, Sexton D (2009) Seasonal peaks in Escherichia coli infections: possible explanations and implications. Clin Microbiol Infect 15:951–953
Funari E, Manganelli M, Sinisi L (2012) Impact of climate change on waterborne diseases. Ann Ist Super Sanità 48:473–487
Hofstra N (2011) Quantifying the impact of climate change on enteric waterborne pathogen concentrations in surface water. Curr Opin Environ Sustain 3:471–479
Hong H, Qiu J, Liang Y (2010) Environmental factors influencing the distribution of total and faecal coliform bacteria in six water storage reservoirs in the Pearl River Delta region, China. J Environ Sci 22:663–668
Hoppe H-G, Giesenhagen H, Koppe R, Hansen H-P, Gocke K (2013) Impact of change in climate and policy from 1988 to 2007 on environmental and microbial variables at the time series station Boknis Eck, Baltic Sea. Biogeosciences 10:4529–4546
Hossain ANHA (2003) Integrated flood management: case study Bangladesh. In: WMO/GWP associated programme on flood management. Bangladesh Water Development Board, Dhaka, pp 1–14
Ibekwe AM, Lesch S, Bold R, Leddy M, Graves A (2011) Variations of indicator bacteria in a large urban watershed. T ASABE 54:2227–2236
Isobe KO, Tarao M, Chiem NH, Minh LY, Takada H (2004) Effect of environmental factors on the relationship between concentrations of coprostanol and fecal indicator bacteria in tropical (Mekong Delta) and temperate (Tokyo) freshwaters. Appl Environ Microbiol 70:814–821
IWM (2014) Feasibility study for drainage improvement of polder 1, 2, 6–8 by mathematical modelling under the Satkhira District. Institute of Water Modelling, Bangladesh
Kamal A, Goyer K, Koottatep T, Amin A (2008) Domestic wastewater management in south and Southeast Asia: the potential benefits of a decentralised approach. Urban Water J 5:345–354
Kay D et al (2005) Predicting faecal indicator fluxes using digital land use data in the UK's sentinel water framework directive catchment: the Ribble study. Water Res 39:3967–3981
Koirala SR, Gentry RW, Perfect E, Schwartz JS, Sayler GS (2008) Temporal variation and persistence of bacteria in streams. J Environ Qual 37:1559–1566
Lata P, Ram S, Shanker R (2016) Multiplex PCR based genotypic characterization of pathogenic vancomycin resistant Enterococcus faecalis recovered from an Indian river along a city landscape SpringerPlus 5:1199–1206
Liu L et al (2006) Modeling the transport and inactivation of E. coli and enterococci in the near-shore region of Lake Michigan. Environ Sci Technol 40:5022–5028
Liu Y, Zhang C, Wang X (2009) Simultaneous detection of enteric bacteria from surface waters by QPCR in comparison with conventional bacterial indicators. Environ Monit Assess 158:535–544
Lucas FS, Therial C, Gonçalves A, Servais P, Rocher V, Mouchel J-M (2014) Variation of raw wastewater microbiological quality in dry and wet weather conditions. Environ Sci Pollut Res 21:5318–5328
Martinez G, Pachepsky YA, Whelan G, Yakirevich AM, Guber A, Gish TJ (2014) Rainfall-induced faecal indicator organisms transport from manured fields: model sensitivity analysis. Environ Int 63:121–129
Montgomery D, Peck EA, Vining G (2001) Introduction to linear regression analysis. John Wiley & Sons, New York
Myers MR, Ambrose RF (2015) Salt marsh reduces fecal indicator bacteria input to coastal waters in Southern California. Bull South Calif Acad Sci 114:76–88
NIDOS (2009) Bangladesh Climate Change Factsheet. In: Network of International Development Organisations in Scotland, 1–8. Available in https://www.nidos.org.uk/news. Accessed 19 April 2014
Noble RT, Moore DF, Leecaster MK, McGee CD, Weisberg SB (2003) Comparison of total coliform, fecal coliform, and enterococcus bacterial indicator response for ocean recreational water quality testing. Water Res 37:1637–1643
Patz J, Olson S, Uejio C, HK G (2008) Disease emergence from global climate and land use change. Med Clin N Am 92:1473–1479
Rochelle-Newall E, Nguyen TMH, Le TPQ, Sengtaheuanghoung O, Ribolzi O (2015) A short review of fecal indicator bacteria in tropical aquatic ecosystems: knowledge gaps and future directions. Front Microbiol 6:1–15
Rose JB, Epstein PR, Lipp EK, Sherman BH, Bernard SM, Patz JA (2001) Climate variability and change in the United States: potential impacts on water-and foodborne diseases caused by microbiologic agents. Environ Health Perspect 109:211–220
Rouf M, Islam M, Hambrey J, Telfer T (2012) Nutrient budget of shrimp culture ponds in southwest coastal region of Bangladesh. J Aquacult Trop 27:41–51
Schilling KE, Zhang Y-K, Hill DR, Jones CS, Wolter CF (2009) Temporal variations of Escherichia coli concentrations in a large Midwestern river. J Hydrol 365:79–85
Shergill SS, Pitt R (2004) Quantification of Escherichia coli and enterococci levels in wet weather and dry weather flows. Proc Water Environ Fed 2004:746–774
Teklehaimanot GZ, Coetzee MA, Momba MN (2014) Faecal pollution loads in the wastewater effluents and receiving water bodies: a potential threat to the health of Sedibeng and Soshanguve communities, South Africa. Environ Sci Pollut Res 21:9589–9603
Tiefenthaler LL, Stein ED, Lyon GS (2009) Faecal indicator bacteria (FIB) levels during dry weather from Southern California reference streams. Environ Monit Assess 155:477–492
Tobler WR (1970) A computer movie simulating urban growth in the Detroit region. Econ Geogr 46:23–240
USEPA (2002) Method 1103.1: Escherichia coli (E. coli) in water by membrane filtration using membrane-Thermotolerant E. coli agar (mTEC). US EPA Office of water, Washington DC
USEPA (2009). Method 1106.1: enterococci in water by membrane filtration using membrane enterococcus-Esculin iron agar (mE-EIA). US EPA Office of water, Washington DC
Vermeulen L, Hofstra N (2013) Influence of climate variables on the concentration of Escherichia coli in the Rhine, Meuse, and Drentse Aa during 1985–2010. Reg Environ Chang 14:307–319
Walters SP, Thebo AL, Boehm AB (2011) Impact of urbanization and agriculture on the occurrence of bacterial pathogens and stx genes in coastal waterbodies of central California. Water Res 45:1752–1762
Whitman RL, Nevers MB (2008) Summer E. coli patterns and responses along 23 Chicago beaches. Environ Sci tech 42:9217–9224
WHO (2008) Guidelines for drinking-water quality, 3rd edn, incorporating first and second addenda. World Health Organization, Geneva
Widmer K et al (2013) Prevalence of Escherichia coli in surface waters of Southeast Asian cities. World J Microbiol Biotechnol 29:2115–2124
Winfield MD, Groisman EA (2003) Role of nonhost environments in the lifestyles of Salmonella and Escherichia coli. Appl Environ Microbiol 69:3687–3694
Wu J, Long S, Das D, Dorner S (2011) Are microbial indicators and pathogens correlated? A statistical analysis of 40 years of research. J Water Health 9:265–278
Zhang L, Seagren EA, Davis AP, Karns JS (2012) Effects of temperature on bacterial transport and destruction in bioretention media: field and laboratory evaluations. Water Environ Res 84:485–496