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Water quality investigation in Brunei Darussalam: investigation of the influence of climate change

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Abstract

The majority of Brunei’s drinking water is sourced from river water. Increases in population, and industrialization are putting more and more pressure on water resources not only in Brunei but worldwide. The management of water resources under a changing climate is of key importance. The goal of this study was to investigate if current water quality changes in Brunei can be related to climatic change. The study investigated time series data from water quality parameters as well as rainfall data measured over a 3-year period. The time series data was analysed using auto-correlation and partial auto-correlation functions. The results showed changes in climate evident from a decrease in precipitation and increase in rainfall intensity. These changes can be correlated with changes in water quality in particular a rise in aluminium concentrations. The highest correlation was observed between turbidity and colour, with a Pearson correlation coefficient greater than 0.8. The results from cross correlation showed that pH values tend to be low before the occurrence of rainfall, due to a dropping of water levels and the likely exposure of acid sulphate soils. Low pH values were correlated with higher aluminium concentrations which have been rising consistently throughout the observation period. The rise in aluminium concentration is correlated with a rise in abstraction from the river during the time period which underlines the importance of water management in a changing climate.

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References

  • American Public Health Association (1992) Standard Methods for the examination of water and wastewater (ISBN 0-87553-207-1)

  • Azhar AS, Latiff AHA, Lim LH, Gӧdeke SH (2019) Groundwater investigation of a coastal aquifer in Brunei Darussalam using seismic refraction. Environ Earth Sci 78:1–17. https://doi.org/10.1007/s12665-019-8203-6

    Article  Google Scholar 

  • Benítez-Gilabert M, Alvarez-Cobelas M, Angeler DG (2010) Effects of climatic change on stream water quality in Spain. Clim Change 103(3):339–352

    Article  Google Scholar 

  • Boxall ABA, Hardy A, Beulke S, Boucard T, Burgin L, Falloon PD, Haygarth PM, Hutchinson T, Kovats RS, Leonardi G, Levy LS, Nichols G, Parsons SA, Potts L, Stone D, Topp E, Turley DB, Walsh K, Wellington EMH, Williams RJ (2009) Impacts of climate change on indirect human exposure to pathogens and chemicals from agriculture. Environ Health Perspect 117(4):508–514

    Article  Google Scholar 

  • Brunei Meteorological Department (2016) Study of annual average temperature in Brunei Darussalam (1970–2014) (unpublished report)

  • Brunei Meteorological Department (2017) Daily rainfall data including 1h rainfall intensities from 2014 to 2017 (unpublished report)

  • Cisneros Jiménez BE, Oki T, Arnell NW, Benito G, Cogley JG, Döll P, Jiang T, Mwakalila SS (2014) Freshwater resources. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, New York, pp 229–269

  • Cobb AR, Harvey CF (2019a) Hydrologic data from Mendaram peat swamp (2012–3). PANGAEA. https://doi.org/10.1594/PANGAEA.908215

    Article  Google Scholar 

  • Cobb AR, Harvey CF (2019b) Scalar simulation and parameterization of water table dynamics in Tropical Peatlands. Water Resour Res 55(11):9351–9377. https://doi.org/10.1029/2019WR025411

    Article  Google Scholar 

  • Cobb AR, Hoyt AM, Gandois L, Eri J, Dommain R, Abu Salim K, Kai FM, Haji Su’ut NS, Harvey CF (2017) How temporal patterns in rainfall determine the geomorphology and carbon fluxes of tropical peatlands. Proc Natl Acad Sci. https://doi.org/10.1073/pnas.1701090114

  • Deng W, Wang G (2017) A novel water quality data analysis framework based on time-series data mining. J Environ Manage 196:365–375. https://doi.org/10.1016/j.jenvman.2017.03.024

    Article  Google Scholar 

  • de Meyer CMC, Rodríguez JM, Carpio EA, García PA, Stengel C, Berg M (2017) Arsenic, manganese and aluminum contamination in groundwater resources of Western Amazonia (Peru). Sci Total Environ 607–608:1437–1450. https://doi.org/10.1016/j.scitotenv.2017.07.059

    Article  Google Scholar 

  • Department of Water Services (2018) Internal report on the water consumption per person in Brunei Darussalam, Unpublished Internal Report

  • Derrick TR, Thomas JM (2004) Time-series analysis: the cross-correlation function. In: Stergiou N (ed) Innovative analyses of human movement. Human Kinetics Publishers, Champaign, pp 189–205

    Google Scholar 

  • FAO (2011) Irrigation in Southern and Eastern Asia in figures, AQUASTAT Survey—FAO Water report 37. ISBN 978-92-5-107282-0

  • Gascuel-Odoux C, Aurousseau P, Durand P, Ruiz L, Molenat J (2010) The role of climate on inter-annual variation in stream nitrate fluxes and concentrations. Sci Total Environ 408(23):5657–5666

    Article  Google Scholar 

  • Gejl RN, Rygaard M, Henriksen HJ, Rasmussen J, Bjerg PL (2019) Understanding the impacts of groundwater abstraction through long-term trends in water quality. Water Res. https://doi.org/10.1016/j.watres.2019.02.026

    Article  Google Scholar 

  • Gensemer RW, Playle RC (1999) The bioavailability and toxicity of aluminium in aquatic environments. Crit Rev Environ Sci Technol 29:315–450. https://doi.org/10.1080/10643389991259245

    Article  Google Scholar 

  • Gharbi O, Goedeke S, Al-Sammaraie M, Al-Shahwani S, Cheneviere P, Al-Mohannadi N, Julien P (2014) Core-flood analysis of acid stimulation in carbonates: towards effective diversion and water mitigation, SPE-, IPTC 2014: Unlocking Energy Through Innovation, Technology and Capability, vol 4, pp 3270–3274. https://doi.org/10.2523/IPTC-17608-MS

  • Grealish JG, Fitzpatrick WR (2013) Acid sulphate soil characterization in Negara Brunei Darussalam: a case study to inform management decisions. Soil Use Manag 29(3):432–444. https://doi.org/10.1111/sum.12051

    Article  Google Scholar 

  • Groisman P, Knight R, Karl T, Easterling D, Sun B, Lawrimore J (2004) Contemporary changes ofthe hydrological cycle over the contiguous United States: trends derived from in situ observa-tions. J Hydrometeorol 5:64–85

    Article  Google Scholar 

  • Gumbricht T, Roman-Cuesta RM, Verchot L, Herold M, Wittmann F, Householder E, Herold N, Murdiyarso D (2017) An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor. Glob Chang Biol 23:3581–3599. https://doi.org/10.1111/gcb.13689

    Article  Google Scholar 

  • Gӧdeke S, Geistlinger H, Fischer A, Richnow HH, Wachter T, Schirmer M (2008) Simulation of a reactive tracer experiment using stochastic hydraulic conductivity fields. Environ Geol 55(6):1255–1261. https://doi.org/10.1007/s00254-007-1073-3

    Article  Google Scholar 

  • Häder DP, Barnes PW (2019) Comparing the impacts of climate change on the responses and linkages between terrestrial and aquatic ecosystems. Sci Total Environ 682:239–246. https://doi.org/10.1016/j.scitotenv.2019.05.024

    Article  Google Scholar 

  • Hasan DSNAPA, Ratnayake U, Shams S (2016) Evaluation of rainfall and temperature trends in Brunei Darussalam. AIP Conf Proc 1705(1):020034. https://doi.org/10.1063/1.4940282

    Article  Google Scholar 

  • Hasan DSNAPA, Ratnayake U, Shams S, Nayan ZBH, Rahman EKA (2018) Prediction of climate change in Brunei Darussalam using statistical downscaling model. Theor Appl Climatol 133:343–360. https://doi.org/10.1007/s00704-017-2172-z

    Article  Google Scholar 

  • Hazen A (1892) A new colour-standard for natural waters. Am Chem J 14:300–310

    Google Scholar 

  • Hongve DAG, Akesson G (1996) Spectrophotometric determination of water. Wat Res 30(11):2771–2775

    Article  Google Scholar 

  • Howden NJK, Burt TP, Worrall F, Whelan MJ, Bieroza M (2010) Nitrate concentrations and fluxes in the River Thames over 140 years (1868–2008): are increases irreversible? Hydrol Process 24(18):2657–2662

    Article  Google Scholar 

  • Hyndman RJ, Athanasopoulos G (2018) Forecasting: principles and practice, 2nd edn. OTexts, Melbourne. OTexts.com/fpp2. Accessed on 20th Jan 2020

  • IBM (2012) IBM Corp. Released (2012): IBM SPSS Statistics for Windows, version 21.0. IBM Corp, Armonk

  • Karl TR, Trenberth K (2003) Modern global climate change. Science 302(5651):1719–1723. https://doi.org/10.1126/science.1090228

    Article  Google Scholar 

  • Kharin V, Zwiers F (2005) Estimating extremes in transient climate change simulations. J Clim 18:1156–1173

    Article  Google Scholar 

  • Könönen M, Jauhiainen J, Laiho R, Kusin K, Vasander H (2015) Physical and chemical properties of tropical peat under stabilised land uses. Mires Peat 16:1–13

    Google Scholar 

  • Könönen M, Jauhiainen J, Straková P, Heinonsalo J, Laiho R, Kusin K, Limin S, Vasander H (2018) Deforested and drained tropical peatland sites show poorer peat substrate quality and lower microbial biomass and activity than unmanaged swamp forest. Soil Biol Biochem 123:229–241. https://doi.org/10.1016/j.soilbio.2018.04.028

    Article  Google Scholar 

  • Lee HW, Kim EJ, Park SS, Choi JH (2015) Effects of climate change on the movement of turbidity flow in a stratified reservoir. Water Resour Manag 29:4095–4110. https://doi.org/10.1007/s11269-015-1047-2

    Article  Google Scholar 

  • Lehmann A, Rode M (2001) Long-term behaviour and cross-correlation water quality analysis of the river Elbe, Germany. Water Res 35(9):2153–2160

    Article  Google Scholar 

  • Li W, Johnson CE (2016) Relationships among pH, aluminium solubility and aluminium complexation with organic matter in acid forest soils of the Northeastern United States. Geoderma 271:234–242. https://doi.org/10.1016/j.geoderma.2016.02.030

    Article  Google Scholar 

  • Loos S, Middelkoop H, van der Perk M, van Beek R (2009) Large scale nutrient modelling using globally available datasets: a test for the Rhine basin. J Hydrol 369(3–4):403–415

    Article  Google Scholar 

  • Low DHX, Utomo HD, Lim KZH (2011) Correlation between turbidity and total suspended solids in Singapore rivers. J Water Sustain 1:313–322

    Google Scholar 

  • Macleod CJA, Falloon PD, Evans R, Haygarth PM (2012) The effects of climate change on the mobilization of diffuse substances from agricultural systems. In: Sparks DL (ed) Advances in agronomy, vol 115, pp 41–77. https://doi.org/10.1016/B978-0-12-394276-0.00002-0

  • Marshall DJ, Abdelhady AA, Wah DTT, Mustapha N, Gӧdeke SH, De Silva LC, Hall-Spencer JM (2019) Biomonitoring acidification using marine gastropods. Sci Total Environ 692:833–843. https://doi.org/10.1016/J.SCITOTENV.2019.07.041

    Article  Google Scholar 

  • Metcalf and Eddy (2014) Wastewater engineering treatment and resource recovery, 5th edn. McGraw-Hill, New York (ISBN 978-0-07-340118-8)

    Google Scholar 

  • Mimikou MA, Baltas E, Varanou E, Pantazis K (2000) Regional impacts of climate change on water resources quantity and quality indicators. J Hydrol 234:95–109. https://doi.org/10.1016/S0022-1694(00)00244-4

    Article  Google Scholar 

  • Montgomery DC (2009) Introduction to statistical quality control, 6th edn. Wiley, New York, pp 228–268

    Google Scholar 

  • Myhre G, Alterskjær K, Stjern CW, Hodnebrog Ø, Marelle L, Samset BH, Sillmann J, Schaller N, Fischer E, Schulz M, Stohl A (2019) Frequency of extreme precipitation increases extensively with event rareness under global warming. Sci Rep 9:1–10. https://doi.org/10.1038/s41598-019-52277-4

    Article  Google Scholar 

  • National Research Council (2002) Adapting to the impacts of climate change (ISBN 978-0-309-14591-6)

  • Ömer Faruk D (2010) A hybrid neural network and ARIMA model for water quality time series prediction. Eng Appl Artif Intell 23:586–594. https://doi.org/10.1016/j.engappai.2009.09.015

    Article  Google Scholar 

  • Osaki M, Tsuji N (2015) Tropical Peatland Ecosystems. Springer, New York (ISBN-13: 978-4431556800)

    Google Scholar 

  • Paerl HW, Valdes LM, Piehler MF, Stow CA (2006) Assessing the effects of nutrient management in an estuary experiencing climatic change: the Neuse River Estuary, North Carolina. Environ Manag 37(3):422–436

    Article  Google Scholar 

  • Pednekar AM, Grant SB, Jeong Y, Poon Y, Oancea C (2005) Influence of climate change, tidal mixing, and watershed urbanization on historical water quality in Newport Bay, a saltwater wetland and tidal embayment in southern California. Environ Sci Technol 39(23):9071–9082

    Article  Google Scholar 

  • Proum S, Santos JH, Lim LH, Marshall DJ (2018) Tidal and seasonal variation in carbonate chemistry, pH and salinity for a mineral-acidified tropical estuarine system. Reg Stud Mar Sci 17:17–27. https://doi.org/10.1016/j.rsma.2017.11.004

    Article  Google Scholar 

  • Radojevic M, Lim LH (1995) A rain acidity study in Brunei Darussalam. Water Air Soil Pollut 85(4):2369–2374

    Article  Google Scholar 

  • Saarinen T, Vuori K-M, Alasaarela E, Kløve B (2010) Long-term trends and variation of acidity, CODMn and colour in coastal rivers of western Finland in relation to climate and hydrology. Sci Total Environ 408(21):5019–5027

    Article  Google Scholar 

  • Salerno F, Viviano G, Tartari G (2018) Urbanization and climate change impacts on surface water quality: enhancing the resilience by reducing impervious surfaces. Water Res 144:491–502. https://doi.org/10.1016/j.watres.2018.07.058

    Article  Google Scholar 

  • Sazali YA, Sazali WML, Ibrahim JM, Dindi M, Graham G, Gödeke S (2019) Investigation of high temperature, high pressure, scaling and dissolution effects for Carbon Capture and Storage at a high CO2 content carbonate gas field offshore Malaysia. J Pet Sci Eng 174:599–606

    Article  Google Scholar 

  • Schwartz J, Levin R, Goldstein R (2000) Drinking water turbidity and gastrointestinal illness in the elderly of Philadelphia. J Epidemiol Community Health 54(1):45–51

    Article  Google Scholar 

  • Semenov V, Bengtsson L (2002) Secular trends in daily precipitation characteristics: greenhouse gas simulation with a coupled AOGCM. Clim Dyn 19:123. https://doi.org/10.1007/s00382-001-0218-4

    Article  Google Scholar 

  • Setty KE, Enault J, Loret JF, 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. Int J Hyg Environ Health 221:714–726. https://doi.org/10.1016/j.ijheh.2018.04.001

    Article  Google Scholar 

  • Shahwan T, Odening M (2007) Computational intelligence in economics and finance. Springer, Berlin, Heidelberg, New York, pp 63–74

    Book  Google Scholar 

  • Suhip MAABH, Gӧdeke SH, Cobb AR, Sukri RS (2020) Seismic refraction study, single well test and physical core analysis of anthropogenic degraded Peat at the Badas Peat Dome, Brunei Darussalam. Eng Geol 273:105689

    Article  Google Scholar 

  • Tetzlaff D, Soulsby C, Birkel C (2010) Hydrological connectivity and microbiological fluxes in montane catchments: the role of seasonality and climatic variability. Hydrol Process 24(9):1231–1235

    Article  Google Scholar 

  • Tibby J, Tiller D (2007) Climate-water quality relationships in three western Victorian (Australia) lakes 1984–2000. Hydrobiologia 591(1):219–234

    Article  Google Scholar 

  • Tizro A, Ghashghaie M, Georgiou P, Voudouris K (2014) Time series analysis of water quality parameters. J Appl Res Water Wastewater 1(1):40–50

    Google Scholar 

  • Vet R, Artz RS, Carou S, Shaw M, Ro CU, Aas W, Baker A, Bowersox VC, Dentener F, Galy-Lacaux C, Hou A, Pienaar JJ, Gillett R, Forti MC, Gromov S, Hara H, Khodzher T, Mahowald NM, Nickovic S, Rao PSP, Reid NW (2014) A global assessment of precipitation chemistry and deposition of sulfur, nitrogen, sea salt, base cations, organic acids, acidity and pH, and phosphorus. Atmos Environ 93:3–100. https://doi.org/10.1016/j.atmosenv.2013.10.060

    Article  Google Scholar 

  • Yang G, Moyer DL (2020) Estimation of nonlinear water-quality trends in high-frequency monitoring data. Sci Total Environ 715:136686. https://doi.org/10.1016/j.scitotenv.2020.136686

    Article  Google Scholar 

  • Yusri NIA, Gӧdeke SH, Mansor NH (2018) A water quality database for Brunei—the case of Bukit Barun and Layong. IET Conference Publications (CP750). https://doi.org/10.1049/cp.2018.1556

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Acknowledgements

This project was funded by research grants UBD/CRG#18 as well as UBD/RSCH/URC/RG(b)/2020/17 from Universiti Brunei Darussalam. The authors thank the Ministry of Development, Department of Water Services, Brunei Darussalam for the supplied data as well as for allowing the publication of this study. The authors thank Thomas Rüttimann of Eawag, the Swiss Federal Institute of Aquatic Science and Technology, for the analyses of water samples.

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Authors and Affiliations

  1. Faculty of Science, Physical and Geological Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Darussalam

    Stefan Herwig Gӧdeke

  2. Faculty of Science, Computer Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Darussalam

    Owais Ahmed Malik & Daphne Teck Ching Lai

  3. Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland

    Anja Bretzler & Mario Schirmer

  4. Centre of Hydrogeology and Geothermics (CHYN), University of Neuchâtel, Neuchâtel, Switzerland

    Mario Schirmer

  5. Public Works Department, Department of Water Services, Ministry of Development, Bandar Seri Begawan, Brunei Darussalam

    Nur Hakimah Mansor

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  1. Stefan Herwig Gӧdeke
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Gӧdeke, S.H., Malik, O.A., Lai, D.T.C. et al. Water quality investigation in Brunei Darussalam: investigation of the influence of climate change. Environ Earth Sci 79, 419 (2020). https://doi.org/10.1007/s12665-020-09157-2

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