The variation of microbiological characteristics in surface waters during persistent precipitation

Xinyan Xiao, Chenlan Chen, Haoran Li, Lihua Li, Xin Yu

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Front. Environ. Sci. Eng. ›› 2024, Vol. 18 ›› Issue (9) : 111. DOI: 10.1007/s11783-024-1871-9
RESEARCH ARTICLE

The variation of microbiological characteristics in surface waters during persistent precipitation

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Highlights

● The maximum coliforms concentration increased by 2 Logs during rainfall.

● Culturable bacterial concentrations had a delayed increase during precipitation.

● DOC concentration was the main impact factor for the microbial characteristics.

● Culturable bacteria concentrations in waters could recover to pre-rainfall levels.

Abstract

Climate change leads to an increase in both the frequency and intensity of extreme precipitation. Surface runoff generated by extreme precipitation has a significant impact on water. However, the impact of persistent precipitation on surface water quality is easy to neglect, due to its prolonged duration and lower-intensity rainfall. This study established eight sampling points within selected surface waters to observe the variation of microbial characteristics in a typical persistence precipitation event. The primary difference between Furong Lake (FL) and Chengqian Reservoir (CR) was: the concentrations of dissolved organic carbon (DOC) were 21.3 ± 0.7 and 8.3 ± 1.5 mg/L in FL and CR, respectively. The concentrations of R2A culturable bacteria and coliforms were 104.57 and 101.58 colony-forming units (CFU)/mL in FL, and were 105.46 and 102.64 CFU/mL in CR, respectively. During precipitation, the maximum increase concentrations of R2A, NA culturable bacteria, and coliforms were 100.75, 101.30, and 102.27 CFU/mL in FL, respectively. Furthermore, microbial concentration and rainfall did not increase simultaneously, and a delay phenomenon was observed in the increasing microbial concentrations. Through analyzing the concentration change trends and correlation of various water quality indicators during persistent precipitation, the significant correlation between the DOC concentration and the changes in the dominant species of microbial community structure was found in this study (p < 0.05). For example, as the DOC concentration declined, the abundance of hgcl_clade and CL500-29_marine_group increased. Consequently, although persistent precipitation might not obviously alter the water quality visibly, it could still pose potential microbial risks.

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Keywords

Rainfall / Dissolved organic carbon / Culturable bacteria / Water quality / Microbial community structure / Climate change

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Xinyan Xiao, Chenlan Chen, Haoran Li, Lihua Li, Xin Yu. The variation of microbiological characteristics in surface waters during persistent precipitation. Front. Environ. Sci. Eng., 2024, 18(9): 111 https://doi.org/10.1007/s11783-024-1871-9

References

[1]
Signor R S, Roser D J, Ashbolt N J, Ball J E. (2005). Quantifying the impact of runoff events on microbiological contaminant concentrations entering surface drinking source waters. Journal of Water and Health, 3(4): 453–468
CrossRef Google scholar
[2]
Burgos-Garay M L, Hong C, Moorman G W. (2014). Interactions of heterotrophic bacteria from recycled greenhouse irrigation water with plant pathogenic pythium. HortScience horts, 49(7): 961–967
CrossRef Google scholar
[3]
Burnet J B, Penny C, Ogorzaly L, Cauchie H M. (2014). Spatial and temporal distribution of Cryptosporidium and Giardia in a drinking water resource: implications for monitoring and risk assessment. Science of the Total Environment, 472: 1023–1035
CrossRef Google scholar
[4]
Chen H J, Chang H. (2014). Response of discharge, TSS, and E. coli to rainfall events in urban, suburban, and rural watersheds. Environmental Science. Processes & Impacts, 16(10): 2313–2324
CrossRef Google scholar
[5]
Ciric S, Petrovic O, Milenkovic D. (2010). Low-nutrient R2A medium in monitoring microbiological quality of drinking water. Chemical Industry & Chemical Engineering Quarterly, 16(1): 39–45
CrossRef Google scholar
[6]
Collins R, Elliott S, Adams R. (2005). Overland flow delivery of faecal bacteria to a headwater pastoral stream. Journal of Applied Microbiology, 99(1): 126–132
CrossRef Google scholar
[7]
De Man H, Van Den Berg H H, Leenen E J, Schijven J F, Schets F M, Van Der Vliet J C, Van Knapen F, De Roda Husman A M. (2014). Quantitative assessment of infection risk from exposure to waterborne pathogens in urban floodwater. Water Research, 48: 90–99
CrossRef Google scholar
[8]
Donat M G, Lowry A L, Alexander L V, O’Gorman P A, Maher N. (2016). More extreme precipitation in the world’s dry and wet regions. Nature Climate Change, 6(5): 508–513
CrossRef Google scholar
[9]
Fang W, Lin M, Shi J, Liang Z, Tu X, He Z, Qiu R, Wang S. (2022). Organic carbon and eukaryotic predation synergistically change resistance and resilience of aquatic microbial communities. Science of the Total Environment, 830: 154386
CrossRef Google scholar
[10]
Ferguson C M, Davies C M, Kaucner C, Ashbolt N J, Krogh M, Rodehutskors J, Deere D A. (2007). Field scale quantification of microbial transport from bovine faeces under simulated rainfall events. Journal of Water and Health, 5(1): 83–95
CrossRef Google scholar
[11]
Guo E, Chen L, Sun R, Wang Z. (2015). Effects of riparian vegetation patterns on the distribution and potential loss of soil nutrients: a case study of the Wenyu River in Beijing. Frontiers of Environmental Science & Engineering, 9(2):: 279–287
CrossRef Google scholar
[12]
Guo L, Wan K, Zhu J, Ye C, Chabi K, Yu X. (2021). Detection and distribution of VBNC/viable pathogenic bacteria in full-scale drinking water treatment plants. Journal of Hazardous Materials, 406: 124335
CrossRef Google scholar
[13]
HamersT, Kamstra J H, Van GilsJ, KotteM C, Van Hattum A G (2015). The influence of extreme river discharge conditions on the quality of suspended particulate matter in Rivers Meuse and Rhine (The Netherlands). Environmental Research, 143(Pt A): 241–255
[14]
Huang J, Tu Z, Du P, Li Q, Lin J (2012). Analysis of rainfall runoff characteristics from a subtropical urban lawn catchment in South-east China. Frontiers of Environmental Science & Engineering, 6(4): 531–539
[15]
Jeng H A C, Englande A J, Bakeer R M, Bradford H B. (2005). Impact of urban stormwater runoff on estuarine environmental quality. Estuarine, Coastal and Shelf Science, 63(4): 513–526
CrossRef Google scholar
[16]
Jeznach L C, Hagemann M, Park M H, Tobiason J E. (2017). Proactive modeling of water quality impacts of extreme precipitation events in a drinking water reservoir. Journal of Environmental Management, 201: 241–251
CrossRef Google scholar
[17]
Kistemann T, Classen T, Koch C, Dangendorf F, Fischeder R, Gebel J, Vacata V, Exner M. (2002). Microbial load of drinking water reservoir tributaries during extreme rainfall and runoff. Applied and Environmental Microbiology, 68(5): 2188–2197
CrossRef Google scholar
[18]
Konapala G, Mishra A K, Wada Y, Mann M E. (2020). Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation. Nature Communications, 11(1): 3044
CrossRef Google scholar
[19]
Lai H, Hales S, Woodward A, Walker C, Marks E, Pillai A, Chen R X, Morton S M. (2020). Effects of heavy rainfall on waterborne disease hospitalizations among young children in wet and dry areas of New Zealand. Environment International, 145: 106136
CrossRef Google scholar
[20]
Lei H, Yao K, Yang B, Xie L, Ying G (2023).Occurrence, spatial and seasonal variation, and environmental risk of pharmaceutically active compounds in the Pearl River basin, South China. Frontiers of Environmental Science & Engineering, 17(4): 46
[21]
Liu X, Liu Z, Zhang Y, Jiang B. (2016). Quantitative analysis of burden of bacillary dysentery associated with floods in Hunan, China. Science of the Total Environment, 547: 190–196
CrossRef Google scholar
[22]
Luo Y, Zhang Y, Lang M, Guo X, Xia T, Wang T, Zhu L (2021). Identification of sources, characteristics and photochemical transformations of dissolved organic matter with EEM-PARAFAC in the Wei River of China. Frontiers of Environmental Science & Engineering, 15, 1–10
[23]
Lynch V D, Shaman J. (2022). The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011. BMC Infectious Diseases, 22(1): 550
CrossRef Google scholar
[24]
Maalej S, Denis M, Dukan S. (2004). Temperature and growth-phase effects on Aeromonas hydrophila survival in natural seawater microcosms: role of protein synthesis and nucleic acid content on viable but temporarily nonculturable response. Microbiology, 150(1): 181–187
CrossRef Google scholar
[25]
Mackowiak M, Leifels M, Hamza I A, Jurzik L, Wingender J. (2018). Distribution of Escherichia coli, coliphages and enteric viruses in water, epilithic biofilms and sediments of an urban river in Germany. Science of the Total Environment, 626: 650–659
CrossRef Google scholar
[26]
Madoux-Humery A S, Dorner S, Sauve S, Aboulfadl K, Galarneau M, Servais P, Prevost M. (2016). The effects of combined sewer overflow events on riverine sources of drinking water. Water Research, 92: 218–227
CrossRef Google scholar
[27]
Mallin M A, Johnson V L, Ensign S H. (2009). Comparative impacts of stormwater runoff on water quality of an urban, a suburban, and a rural stream. Environmental Monitoring and Assessment, 159(1-4): 475–491
CrossRef Google scholar
[28]
Mary P, Sautour M, Chihib N E, Tierny Y, Hornez J P. (2003). Tolerance and starvation induced cross-protection against different stresses in Aeromonas hydrophila. International Journal of Food Microbiology, 87(1-2): 121–130
CrossRef Google scholar
[29]
McCarthy D T, Hathaway J M, Hunt W F, Deletic A. (2012). Intra-event variability of Escherichia coli and total suspended solids in urban stormwater runoff. Water Research, 46(20): 6661–6670
CrossRef Google scholar
[30]
McKergow L A, Davies-Colley R J. (2010). Stormflow dynamics and loads of Escherichia coli in a large mixed land use catchment. Hydrological Processes, 24(3): 276–289
CrossRef Google scholar
[31]
Muirhead R W, Meenken E D. (2018). Variability of Escherichia coli concentrations in rivers during base-flow cconditions in New Zealand. Journal of Environmental Quality, 47(5): 967–973
CrossRef Google scholar
[32]
Paerl H W, Huisman J. (2009). Climate change: a catalyst for global expansion of harmful cyanobacterial blooms. Environmental Microbiology Reports, 1(1): 27–37
CrossRef Google scholar
[33]
Paszko-Kolva C, Yamamoto H, Shahamat M, Sawyer T K, Morris G, Colwell R R. (1991). Isolation of Amoebae and Pseudomonas and Legionella spp. from eyewash stations. Applied and Environmental Microbiology, 57(1): 163–167
CrossRef Google scholar
[34]
Pianetti A, Battistelli M, Citterio B, Parlani C, Falcieri E, Bruscolini F. (2009). Morphological changes of Aeromonas hydrophila in response to osmotic stress. Micron, 40(4): 426–433
CrossRef Google scholar
[35]
Prein A F, Rasmussen R M, Ikeda K, Liu C, Clark M P, Holland G J. (2017). The future intensification of hourly precipitation extremes. Nature Climate Change, 7(1): 48–52
CrossRef Google scholar
[36]
Qiu L, Li Y, Zhong Q, Ma W, Kuang Y, Zhou S, Chen G, Xie J, Hu H, Chen Y. . (2023). Adaptation mechanisms of the soil microbial community under stoichiometric imbalances and nutrient-limiting conditions in a subtropical nitrogen-saturated forest. Plant and Soil, 489(1–2): 239–258
CrossRef Google scholar
[37]
Rechenburg A, Koch C, Classen T, Kistemann T. (2006). Impact of sewage treatment plants and combined sewer overflow basins on the microbiological quality of surface water. Water Science and Technology, 54(3): 95–99
CrossRef Google scholar
[38]
Ruecker A, Uzun H, Karanfil T, Tsui M T K, Chow A T. (2017). Disinfection byproduct precursor dynamics and water treatability during an extreme flooding event in a coastal blackwater river in southeastern United States. Chemosphere, 188: 90–98
CrossRef Google scholar
[39]
Sales-Ortells H, Medema G. (2015). Microbial health risks associated with exposure to stormwater in a water plaza. Water Research, 74: 34–46
CrossRef Google scholar
[40]
Schreiber C, Heinkel S B, Zacharias N, Mertens F M, Christoffels E, Gayer U, Koch C, Kistemann T. (2019). Infectious rain? Evaluation of human pathogen concentrations in stormwater in separate sewer systems. Water Science and Technology, 80(6): 1022–1030
CrossRef Google scholar
[41]
Setty K E, Enault J, Loret J F, Puigdomenech Serra C, Martin-Alonso J, Bartram J. (2018). Time series study of weather, water quality, and acute gastroenteritis at Water Safety Plan implementation sites in France and Spain. International Journal of Hygiene and Environmental Health, 221(4): 714–726
CrossRef Google scholar
[42]
ShaoYXu Y (2023). Challenges and countermeasures of urban water systems against climate change: a perspective from China. Frontiers of Environmental Science & Engineering, 17(12), 156
[43]
Tan X, Wu X, Huang Z, Fu J, Tan X, Deng S, Liu Y, Gan T Y, Liu B. (2023). Increasing global precipitation whiplash due to anthropogenic greenhouse gas emissions. Nature Communications, 14(1): 2796
CrossRef Google scholar
[44]
Thackeray C W, Hall A, Norris J, Chen D. (2022). Constraining the increased frequency of global precipitation extremes under warming. Nature Climate Change, 12(5): 441–448
CrossRef Google scholar
[45]
Tornevi A, Bergstedt O, Forsberg B. (2014). Precipitation effects on microbial pollution in a river: lag structures and seasonal effect modification. PLoS One, 9(5): e98546
CrossRef Google scholar
[46]
Wang J, Fan H, He X, Zhang F, Xiao J, Yan Z, Feng J, Li R. (2021). Response of bacterial communities to variation in water quality and physicochemical conditions in a river-reservoir system. Global Ecology and Conservation, 27: e01541
CrossRef Google scholar
[47]
Wortman A T, Bissonnette G K. (1988). Metabolic processes involved in repair of Escherichia coli cells damaged by exposure to acid-mine water. Applied and Environmental Microbiology, 54(8): 1901–1906
CrossRef Google scholar
[48]
Zhang L, Fang W, Li X, Lu W, Li J. (2020a). Strong linkages between dissolved organic matter and the aquatic bacterial community in an urban river. Water Research, 184: 116089
CrossRef Google scholar
[49]
Zhang L, Zhong M, Li X, Lu W, Li J. (2020b). River bacterial community structure and co-occurrence patterns under the influence of different domestic sewage types. Journal of Environmental Management, 266: 110590
CrossRef Google scholar
[50]
Zhang Y, Zou L, Li P, Du Z J, Dou M, Huang Z D, Liang Z J, Qi X B. (2022). Differential characteristics and source contribution of water pollutants before and after the extreme rainfall event in the Huaihe River Basin. Frontiers in Environmental Science, 10: 1003421
CrossRef Google scholar
[51]
Zhong S, Cheng Q, Huang C R, Wang Z. (2021). Establishment and validation of health vulnerability and adaptation indices under extreme weather events on the basis of the 2016 flood in Anhui Province, China. Advances in Climate Change Research, 12(5): 649–659
CrossRef Google scholar

Acknowledgements

This research was supported by the National Key R&D Program of China (No. 2023YFE0112100), the Natural Science Foundation of China-Joint Fund Project (No. U2005206).

Conflict of Interests

Xin Yu is a response editor of the special issue of Frontiers of Environmental Science & Engineering. The authors declare that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest.

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://doi.org/10.1007/s11783-024-1871-9 and is accessible for authorized users.

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