Predicting climate change impact on nutrient pollution in waterways: a case study in the upper catchment of the Latrobe River, Australia

Article


Alam, Md Jahangir and Dutta, Dushmanta. 2013. "Predicting climate change impact on nutrient pollution in waterways: a case study in the upper catchment of the Latrobe River, Australia." Ecohydrology. 6 (1), pp. 73-82. https://doi.org/10.1002/eco.282
Article Title

Predicting climate change impact on nutrient pollution in waterways: a case study in the upper catchment of the Latrobe River, Australia

ERA Journal ID40327
Article CategoryArticle
AuthorsAlam, Md Jahangir (Author) and Dutta, Dushmanta (Author)
Journal TitleEcohydrology
Journal Citation6 (1), pp. 73-82
Number of Pages10
Year2013
Place of PublicationUnited Kingdom
ISSN1936-0584
1936-0592
Digital Object Identifier (DOI)https://doi.org/10.1002/eco.282
Web Address (URL)http://onlinelibrary.wiley.com/doi/10.1002/eco.282/epdf
Abstract

Climate change, together with the increasing influence of anthropogenic activities in the atmosphere, has impacted ecosystems enormously, escalating much concern for pollution control and management. Proper assessment of the effect of temperature rise due to global warming and the subsequent changes in hydrology on catchment biogeochemical processes is essential for accurate prediction of pollution level. Not many studies have been carried out on the aspect of climate change-driven nutrient pollution assessment, and inability of many existing modelling tools persists. With these research needs in focus, this study has made an assessment of climate change impact on nutrient pollution by applying a distributed hydrological modelling tool with newly developed nutrient modules that incorporate climate-based description of catchment and in-stream processes. The model has been applied to the Latrobe River basin in Australia and calibrated and validated prior to simulation of climate change scenarios. The scenarios have been developed on the basis of the Intergovernmental Panel on Climate Change projections of higher-emission scenario A1F1 for this region. The model has predicted the impact of temperature rise on the nutrient-transformation processes and the subsequent releases into waterways for projected high-flow and low-flow situations. The results show that climate change is likely to contribute to increase in nutrient pollution in the waterways. The results have been used to assess future stream water quality condition in the study area.

Keywordsnutrient pollution; hydrology; climate change impact; water quality
ANZSRC Field of Research 2020370704. Surface water hydrology
370903. Natural hazards
400499. Chemical engineering not elsewhere classified
410406. Natural resource management
379999. Other earth sciences not elsewhere classified
400513. Water resources engineering
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsMonash University
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q3091/predicting-climate-change-impact-on-nutrient-pollution-in-waterways-a-case-study-in-the-upper-catchment-of-the-latrobe-river-australia

  • 1774
    total views
  • 7
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

Temporal Dynamics and Predictive Modelling of Streamflow and Water Quality Using Advanced Statistical and Ensemble Machine Learning Techniques
Farzana, Syeda Zehan, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2024. "Temporal Dynamics and Predictive Modelling of Streamflow and Water Quality Using Advanced Statistical and Ensemble Machine Learning Techniques." Water. 16 (15). https://doi.org/10.3390/w16152107
Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach
Farzana, Syeda Zeh, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2024. "Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach." Geosciences. 14 (8). https://doi.org/10.3390/geosciences14080225
Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia
Pakdel, Hadis, Chadalavada, Sreeni, Alam, Md Jahangir, Paudyal, Dev Raj and Vazifedoust, Majid. 2024. "Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia." ISPRS International Journal of Geo-Information. 13 (4). https://doi.org/10.3390/ijgi13040123
An Alternative Method for Estimating the Peak Flow for a Regional Catchment Considering the Uncertainty via Continuous Simulation
Brown, Ian, McDougall, Kevin, Chadalavada, Sreeni and Alam, Md Jahangir. 2023. "An Alternative Method for Estimating the Peak Flow for a Regional Catchment Considering the Uncertainty via Continuous Simulation ." Water. 15 (19). https://doi.org/https://doi.org/10.3390/w15193355
Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia
Farzana, Syeda Zehan, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2023. "Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia." Geosciences. 13 (293). https://doi.org/10.3390/geosciences13100293
A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia
Pakdel, Hadis, Paudyal, Dev Raj, Chadalavada, Sreeni, Alam, Md Jahangir and Vazifedoust, Majid. 2023. "A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia." ISPRS International Journal of Geo-Information. 12 (9). https://doi.org/10.3390/ijgi12090370
Calibration of a continuous hydrologic simulation model in the urban Gowrie Creek catchment in Toowoomba, Australia
Brown, I. W., McDougall, K., Alam, Md. Jahangir, Chowdhury, R. and Chadalavada, S.. 2022. "Calibration of a continuous hydrologic simulation model in the urban Gowrie Creek catchment in Toowoomba, Australia." Journal of Hydrology: Regional Studies. 40, pp. 1-16. https://doi.org/10.1016/j.ejrh.2022.101021
Modelling of Nutrient Pollution Dynamics in River Basins: A Review with a Perspective of a Distributed Modelling Approach
Alam, Md Jahangir and Dutta, Dushmanta. 2021. "Modelling of Nutrient Pollution Dynamics in River Basins: A Review with a Perspective of a Distributed Modelling Approach." Geosciences. 11 (9), pp. 1-16. https://doi.org/10.3390/geosciences11090369
Short duration rainfall estimation of Sylhet: IMD and USWB method
Chowdhury, Rezaul Kabir, Alam, Md. J. B., Das, P. and Alam, Md. A.. 2007. "Short duration rainfall estimation of Sylhet: IMD and USWB method." Journal of the Indian Water Works Association. 39 (4), pp. 285-292.
A two-dimensional hydrodynamic model for flood inundation simulation: a case study in the lower Mekong river basin
Dutta, Dushmanta, Alam, Jahangir, Umeda, Kazuo, Hayashi, Masayoshi and Hironaka, Sadayuki. 2007. "A two-dimensional hydrodynamic model for flood inundation simulation: a case study in the lower Mekong river basin." Hydrological Processes. 21 (9), pp. 1223-1237. https://doi.org/10.1002/hyp.6682
A sub-catchment based approach for modelling nutrient dynamics and transport at a river basin scale
Alam, Md Jahangir and Dutta, Dushmanta. 2016. "A sub-catchment based approach for modelling nutrient dynamics and transport at a river basin scale." Water Resources Management. 30 (14), pp. 5455-5478. https://doi.org/10.1007/s11269-016-1500-x
A process-based and distributed model for nutrient dynamics in river basin: development, testing and applications
Alam, Md Jahangir and Dutta, Dushmanta. 2012. "A process-based and distributed model for nutrient dynamics in river basin: development, testing and applications." Ecological Modelling. 247, pp. 112-124. https://doi.org/10.1016/j.ecolmodel.2012.07.031
Investigating environmental watering options using Source IMS: a case study – the River Murray, Australia
Alam, Md Jahangir, Korn, Alistair and Hardy, Matthew. 2015. "Investigating environmental watering options using Source IMS: a case study – the River Murray, Australia." Weber, T., McPhee, M. J. and Anderssen, R. S. (ed.) 21st International Congress on Modelling and Simulation (MODSIM2015). Gold Coast, Australia 29 Nov - 04 Dec 2015 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/MODSIM.2015.L18.alam
Modelling water demand and trade on the Murray and lower Darling rivers
Alam, Md Jahangir, Bethune, Matthew, Townsend, Phil and Close, Andy. 2014. "Modelling water demand and trade on the Murray and lower Darling rivers." 17th International River Symposium 2014: Excellence Collaboration Integration. Canberra, Australia 15 - 18 Sep 2014 Canberra, Australia.