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Relationship between infiltration, sewer rehabilitation, and groundwater flooding in coastal urban areas

  • Xin Su
  • Ting Liu
  • Maryam Beheshti
  • Valentina PrigiobbeEmail author
Advances in Receiving Water Quality Models
  • 164 Downloads

Abstract

The aging of sewer networks is a serious issue in urban areas because of the reduced functionality of the system that can have negative impact on the urban environment. Aging pipes are not water-tight anymore and they can leak untreated sewage or allow infiltration of groundwater. In the latter case, more frequent combined sewer overflows (CSOs) may occur. Generally, prompt intervention to repair damaged conduits is envisaged. However, in low-lying coastal regions, sewer systems may provide an unplanned drainage that controls the groundwater table from flooding the urban ground. Here, a study is presented to investigate the influence of the repair of damaged sewer on the water table of an urban shallow aquifer. Sewer and groundwater models were built to describe the effect of sewer replacement. Based on a real dataset, simulations were run for a city located along an estuary. Results show that the presence of infiltration into the sewer system increases the frequency of CSOs, which trigger the discharge of untreated sewage after a minor precipitation or even in dry weather conditions. As the sewer is repaired, CSO spills diminish occurring only upon significant precipitation. However, the water table rises and eventually, during the high tide, the groundwater floods the low-lying part of the city. Overall, this work highlights the susceptibility of shallow aquifers in coastal urban areas and suggests that they should be regarded in flooding predictions.

Keywords

Aging infrastructure Combined sewer overflows (CSOs) Coastal urban areas Groundwater flooding Hydrologic modelling Sewer infiltration Urban hydrology 

Notes

Acknowledgements

The authors would like to thank the Municipality of Hoboken, New Jersey Department of Environmental Protection (NJDEP), and Dewberry Company for providing, respectively, the high resolution map of the impervious surface, the geology, and the data of the water table. The authors would also like to thank the North Hudson Sewerage Authority (NHSA) for the information and the maps of the sewer network.

References

  1. Abraham WR (2010) Megacities as sources for pathogenic bacteria in rivers and their fate downstream. International Journal of MicrobiologyGoogle Scholar
  2. Altizer S, Ostfeld RS, Johnson PTJ, Kutz S, Harvell CD (2013) Climate change and infectious diseases: from evidence to a predictive framework. Science 341(6145):514–519CrossRefGoogle Scholar
  3. AWWARF (1999) Residential end uses of water. Tech. repGoogle Scholar
  4. Beheshti M, Saegrov S (2018) Quantification assessment of extraneous water infiltration and inflow by analysis of the thermal behavior of the sewer network. Water 10(8)CrossRefGoogle Scholar
  5. Belhadj N, Joannis C, Raimbault G (1995) Modelling of rainfall induced infiltration into separate sewerage. Water Sci Technol 32(1):161–168CrossRefGoogle Scholar
  6. Bradbury KR, Borchardt MA, Gotkowitz M, Spencer SK, Zhu J, Hunt RJ (2013) Source and transport of human enteric viruses in deep municipal water supply wells. Environ Sci Technol 47(9):4096–4103CrossRefGoogle Scholar
  7. Brokamp C, Beck AF, Muglia L, Ryan P (2017) Combined sewer overflow events and childhood emergency department visits: a case-crossover study. Sci Total Environ 607:1180–1187CrossRefGoogle Scholar
  8. Bureau UC (2016) American FactFinder, Annual Estimates Of the Resident Population: April 1, 2010 to July 1, 2016, 2016 Population Estimates, New Jersey. http://factfinder2.census.gov
  9. Cho KH, Mun S (2015) Determining hydraulic conductivity parameters of porous asphalt concrete using bayesian parameter estimation. KSCE J Civ Eng 19(5):1277–1281CrossRefGoogle Scholar
  10. Cronshey R (1986) Urban Hydrology for Small Watersheds. Tech. rep., US Dept of Agriculture. Soil Conservation Service, Engineering DivisionGoogle Scholar
  11. Czajkowski J, Engel V, Martinez C, Mirchi A, Watkins D, Sukop MC, Hughes JD (2018) Economic impacts of urban flooding in South Florida: potential consequences of managing groundwater to prevent salt water intrusion. Sci Total Environ 621:465– 478CrossRefGoogle Scholar
  12. De Bénédittis J, Bertrand-Krajewski JL (2005) Infiltration in sewer systems: comparison of measurement methods. Water Sci Technol 52(3):219–227CrossRefGoogle Scholar
  13. De Giglio O, Caggiano G, Bagordo F, Barbuti G, Brigida S, Lugoli F, Grassi T, La Rosa G, Lucentini L, Uricchio VF, De Donno A, Montagna MT (2017) Enteric viruses and fecal bacteria indicators to assess groundwater quality and suitability for irrigation. International Journal of Environmental Research and Public Health 14(6)Google Scholar
  14. Diogo AF, Barros LT, Santos J, Temido JS (2018) An effective and comprehensive model for optimal rehabilitation of separate sanitary sewer systems. Sci Total Environ 612:1042–1057CrossRefGoogle Scholar
  15. Donovan E, Unice K, Roberts JD, Harris M, Finley B (2008) Risk of gastrointestinal disease associated with exposure to pathogens in the water of the Lower Passaic River. Appl Environ Microbiol 74(4):994–1003CrossRefGoogle Scholar
  16. Edge T, Hill S (2005) Occurrence of antibiotic resistance in Escherichia coli from surface waters and fecal pollution sources near Hamilton, Ontario. Can J Microbiol 51(6):501–505CrossRefGoogle Scholar
  17. Eiswirth M, Houtzl H (2006) The impact of leaking sewers on urban groundwater. Groundwater in the Urban Environment, pp 399– 404Google Scholar
  18. El-Housni H, Ouellet M, Duchesne S (2018) Identification of most significant factors for modeling deterioration of sewer pipes. Can J Civ Eng 45(3):215–226CrossRefGoogle Scholar
  19. Ellis B, Bertrand-Krajewski JL (2010) Assessing infiltration and exfiltration on the performance of urban sewer systems. Tech. repGoogle Scholar
  20. Gironás J, Roesner LA, Rossman LA, Davis J (2010) A new applications manual for the Storm Water Management Model (SWMM). Environ Model Softw 25(4–5, SI):813–814CrossRefGoogle Scholar
  21. Habel S, Fletcher CH, Rotzoll K, El-Kadi AI (2017) Development of a model to simulate groundwater inundation induced by sea-level rise and high tides in Honolulu. Hawaii. Water Research 114:122–134CrossRefGoogle Scholar
  22. Halliday E, Gast RJ (2010) Bacteria in beach sands: an emerging challenge in protecting coastal water quality and bather health. Environ Sci Technol 45(2):370–379CrossRefGoogle Scholar
  23. Harbaugh A, Banta E, Hill M, McDonald M (2000) MODFLOW-2000, the U.S. Geological Survey modular groundwater model user guide to modularization concepts and the groundwater flow process. Tech. repGoogle Scholar
  24. Hassard F, Gwyther CL, Farkas K, Andrews A, Jones V, Cox B, Brett H, Jones DL, McDonald JE, Malham SK (2016) Abundance and distribution of enteric bacteria and viruses in coastal and estuarine sediments - a review. Front Microbiol 7:1692CrossRefGoogle Scholar
  25. He LML, He ZL (2008) Water quality prediction of marine recreational beaches receiving watershed baseflow and stormwater runoff in southern California, USA. Water Res 42(10):2563–2573CrossRefGoogle Scholar
  26. Hoover DJ, Odigie KO, Swarzenski PW, Barnard P (2017) Sea-level rise and coastal groundwater inundation and shoaling at select sites in california, usa. Journal of Hydrology: Regional Studies 11:234–249Google Scholar
  27. Howard K, Gerber R (2018) Impacts of urban areas and urban growth on groundwater in the great lakes basin of North America. J Great Lakes Res 44(1):1–13CrossRefGoogle Scholar
  28. Jalliffier-Verne I, Leconte R, Huaringa-Alvarez U, Heniche M, Madoux-Humery AS, Autixier L, Galarneau M, Servais P, Prévost M, Dorner S (2017) Modelling the impacts of global change on concentrations of Escherichia coli in an urban river. Adv Water Resour 108:450–460CrossRefGoogle Scholar
  29. Jeppesen J, Christensen S, Ladekarl UL (2011) Modelling the historical water cycle of the Copenhagen area 1850-2003. J Hydrol 404(3–4):117–129CrossRefGoogle Scholar
  30. Karpf C, Krebs P (2011a) Quantification of groundwater infiltration and surface water inflows in urban sewer networks based on a multiple model approach. Water Res 45(10):3129–3136CrossRefGoogle Scholar
  31. Karpf C, Krebs P (2011b) A new sewage exfiltration model –parameters and calibration. Water Sci Technol 63(10):2294–2299CrossRefGoogle Scholar
  32. Kracht O, Gresch M, Gujer W (2007) A stable isotope approach for the quantification of sewer infiltration. Environ Sci Technol 41(16):5839–5845CrossRefGoogle Scholar
  33. Liu T, Su X, Prigiobbe V (2018) Groundwater-sewer interaction in urban coastal areas. Water 10 (12):1774CrossRefGoogle Scholar
  34. Locatelli L, Mark O, Mikkelsen PS, Arnbjerg-Nielsen K, Deletic A, Roldin M, Binning PJ (2017) Hydrologic impact of urbanization with extensive stormwater infiltration. J Hydrol 544:524–537CrossRefGoogle Scholar
  35. MassDep (2017) Guidelines for Performing Infiltration/Inflow Analyses and Sewer System Evaluation SurveysGoogle Scholar
  36. McGinnis S, Spencer S, Firnstahl A, Stokdyk J, Borchardt M, McCarthy DT, Murphy HM (2018) Human Bacteroides and total coliforms as indicators of recent combined sewer overflows and rain events in urban creeks. Sci Total Environ 630:967–976CrossRefGoogle Scholar
  37. McLellan SL, Hollis EJ, Depas MM, Dyke MV, Harris J, Scopel CO (2007) Distribution and fate of Escherichia coli in lake michigan following contamination with urban stormwater and combined sewer overflows. J Great Lakes Res 33(3):566–580CrossRefGoogle Scholar
  38. Miao J, Guo X, Liu W, Yang D, Shen Z, Qiu Z, Chen X, Zhang K, Hu H, Yin J, Yang Z, Li J, Jin M (2018) Total coliforms as an indicator of human enterovirus presence in surface water across Tianjin city, China. BMC Infectious Diseases 18Google Scholar
  39. Minnig M, Moeck C, Radny D, Schirmer M (2018) Impact of urbanization on groundwater recharge rates in dübendorf, switzerland. J Hydrol 563:1135–1146CrossRefGoogle Scholar
  40. Morgan D, Xiao L, McNabola A (2017) Evaluation of combined sewer overflow assessment methods: case study of Cork City, Ireland. Water and Environment Journal, pp 202–208CrossRefGoogle Scholar
  41. National Oceanographic and Atmospheric Administration (NOAA) (1989) The Battery, NY - Station ID: 8518750. https://tidesandcurrents.noaa.gov/stationhome.html?id=8518750, accessed: 2017-02-14
  42. New Jersey Department of Environmental Protection (NJDEP) (2002a) NJDEP 10-meter Digital Elevation Grid of the Hackensack and Pascack Watershed Management Area (WMA 5). http://www.state.nj.us/dep/gis/digidownload/zips/wmalattice/wma05lat.zip
  43. New Jersey Department of Environmental Protection (NJDEP) (2002b) Surficial geology of the Elizabeth quadrangle, Essex, Hudson, and Union Counties, NJ. http://www.state.nj.us/dep/njgs/pricelst/ofmap/ofm42.pdf
  44. New Jersey Department of Environmental Protection (NJDEP) (2015) Land Use/Land Cover 2012 Update, Edition 20150217 Subbasin 02030101 - Lower Hudson, Subbasin 02030103 - Hackensack-Passaic (Land_lu_2012_hu02030101_103). http://www.nj.gov/dep/gis/listall.html
  45. NHSA (2018) System Characterization Report for the Adams Street WWTP. https://www.nj.gov/dep/dwq/pdf/CSO_SystemCharacterization_NHSAAdamsStreet_20180701.pdf
  46. NOAA’s National Weather Service (2019) NOAA Atlas 14 Point Precipitation Frequency Estimates: NJ. https://hdsc.nws.noaa.gov/hdsc/pfds/pfds_map_cont.html?bkmrk=nj
  47. O’Flaherty E, Solimini A, Pantanella F, Cummins E (2019) The potential human exposure to antibiotic resistant-Escherichia coli through recreational water. Sci Total Environ 650:786–795CrossRefGoogle Scholar
  48. O’Mullan GD, Dueker ME, Juhl AR (2017) Challenges to managing microbial fecal pollution in coastal environments: extra-enteric ecology and microbial exchange among water, sediment, and air. Current Pollution Reports 3(1):1–16CrossRefGoogle Scholar
  49. Ouattara NK, Garcia-Armisen T, Anzil A, Brion N, Servais P (2014) Impact of wastewater release on the faecal contamination of a small urban river: the Zenne river in Brussels (Belgium). Water, Air, Soil Pollut 225 (8):2043CrossRefGoogle Scholar
  50. Pelletier G, Rochette S, Rodriguez M (2017) Impacts of the ageing and rehabilitation of water pipes on residence times at the residential neighborhood scale. Urban Water J 14(9):940–946CrossRefGoogle Scholar
  51. Prigiobbe V, Giulianelli M (2009) Quantification of sewer system infiltration using δ 18O hydrograph separation. Water Sci Technol 60(3):727–735CrossRefGoogle Scholar
  52. Prigiobbe V, Giulianelli M (2011) Quantification of sewer leakage by a continuous tracer method. Water Sci Technol 64(1):132–138CrossRefGoogle Scholar
  53. Rotzoll K, Fletcher CH (2013) Assessment of groundwater inundation as a consequence of sea-level rise. Nat Clim Chang 3(5):477– 481CrossRefGoogle Scholar
  54. Seidel M, Jurzik L, Brettar I, Hoefle MG, Griebler C (2016) Microbial and viral pathogens in freshwater: current research aspects studied in Germany. Environmental Earth Sciences 75(20)Google Scholar
  55. Sercu B, Van De Werfhorst LC, Murray JLS, Holden PA (2011) Sewage exfiltration as a source of storm drain contamination during dry weather in urban watersheds. Environ Sci Technol 45(17):7151–7157CrossRefGoogle Scholar
  56. Service UNRC (2019) Information on Rainfall, Frequency, & Distributions. https://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/water/manage/hydrology/?cid=stelprdb1044959
  57. Staufer P, Scheidegger A, Rieckermann J (2012) Assessing the performance of sewer rehabilitation on the reduction of infiltration and inflow. Water Res 46(16):5185–5196CrossRefGoogle Scholar
  58. Suez (2016) Your water quality information. Consumer confidence report. Tech. repGoogle Scholar
  59. The City of Hoboken (2018) High resolution imperviousness shapefile for the city of hoboken (not published)Google Scholar
  60. Thi Mai Nguyen H, Le TPQ, Garnier J, Janeau JL, Rochelle-Newall E (2016) Seasonal variability of faecal indicator bacteria numbers and die-off rates in the Red River basin, North Viet Nam. Scientific Reports 6Google Scholar
  61. Trogrlic RS, Rijke J, Dolman N, Zevenbergen C (2018) Rebuild by design in hoboken: a design competition as a means for achieving flood resilience of urban areas through the implementation of green infrastructure. Water 10(5)Google Scholar
  62. Tubau I, Vázquez-Suñé E, Carrera J, Valhondo C, Criollo R (2017) Quantification of groundwater recharge in urban environments. Sci Total Environ 592:391–402CrossRefGoogle Scholar
  63. United States Environmental Protection Agency (USEPA) (2013) Sanitary Sewer Overflow Analysis and Planning (SSOAP) Toolbox. https://www.epa.gov/water-research/sanitary-sewer-overflow-analysis-and-planning-ssoap-toolbox
  64. Vedachalam S, Lewenstein BV, DeStefano KA, Polan SD, Riha SJ (2016) Media discourse on ageing water infrastructure. Urban Water J 13(8):861–874CrossRefGoogle Scholar
  65. Winston R (2009) ModelMuse-A graphical user interface for MODFLOW-2005 and PHAST: U.S. Geological Survey Techniques and Methods 6-A29. Tech. repGoogle Scholar
  66. Wittenberg H, Aksoy H (2010) Groundwater intrusion into leaky sewer systems. Water Sci Technol 62 (1):92–98CrossRefGoogle Scholar
  67. Wolf L, Fund K, Held I, Winter J (2004) Microbiological condition of urban groundwater in the vicinity of leaky sewer systems. Acta Hydrochim Hydrobiol 32(4–5):351–360Google Scholar
  68. Yang DY, Frangopol DM (2019) Life-cycle management of deteriorating civil infrastructure considering resilience to lifetime hazards: a general approach based on renewal-reward processes. Reliab Eng Syst Saf 183:197–212CrossRefGoogle Scholar
  69. Young S, Juhl A, O’Mullan GD (2013) Antibiotic-resistant bacteria in the hudson river estuary linked to wet weather sewage contamination. J Water Health 11(2):297–310CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Civil, Environmental, and Ocean EngineeringStevens Institute of TechnologyHobokenUSA
  2. 2.Department of Civil and Environmental EngineeringNorwegian University of Science and Technology (NTNU)TrondheimNorway

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