A sub-catchment based approach for modelling nutrient dynamics and transport at a river basin scale

Article


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
Article Title

A sub-catchment based approach for modelling nutrient
dynamics and transport at a river basin scale

ERA Journal ID30189
Article CategoryArticle
AuthorsAlam, Md Jahangir (Author) and Dutta, Dushmanta (Author)
Journal TitleWater Resources Management
Journal Citation30 (14), pp. 5455-5478
Number of Pages24
Year2016
Place of PublicationNetherlands
ISSN0920-4741
1573-1650
Digital Object Identifier (DOI)https://doi.org/10.1007/s11269-016-1500-x
Web Address (URL)http://link.springer.com/article/10.1007%2Fs11269-016-1500-x
Abstract

The prediction of nutrient pollution at realistic details is difficult due to lack of proper description of inherent processes in modelling tools. To overcome that this study has adopted a process based approach to build a semi-distributed model to simulate nutrient pollution in changing environment. The model was built to describe: (1) nutrient generation process in the catchment with consideration of different aspects of external and internal sources, (2) nutrient release from surface to the waterways via runoff and soil erosion, and (3) in-stream transport and chemical reaction process. The key novelty of this research is the linking of the nutrient generation process with transport mechanism for modelling nutrient
dynamics at a basin scale. A flow capacity based approach was introduced to determine nutrient export from catchment to the waterways, which was useful to achieve the high resolution outputs from the model. The model performed reasonably well to represent the behaviour of nutrient in high flow events as well as in seasonal flow in two catchments located in distinct hydro-climatic regions. The study has shown that the nutrient model is suitable for predicting actual nutrient pollution in rivers for both high flow and seasonal flow under different hydro-climatic conditions. By simulating organic and inorganic nutrients separately,the model allows to estimate river water quality status in detail.

Keywordsnutrient pollution; process-based modelling; soil erosion; catchment and in-stream process; river basin
ANZSRC Field of Research 2020401199. Environmental engineering not elsewhere classified
370704. Surface water hydrology
490303. Numerical solution of differential and integral equations
370901. Geomorphology and earth surface processes
400513. Water resources engineering
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsSchool of Civil Engineering and Surveying
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q39y9/a-sub-catchment-based-approach-for-modelling-nutrient-dynamics-and-transport-at-a-river-basin-scale

Download files


Accepted Version
WARM-JA-DD-2016.pdf
File access level: Anyone

  • 1589
    total views
  • 196
    total downloads
  • 3
    views this month
  • 1
    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
Predicting climate change impact on nutrient pollution in waterways: a case study in the upper catchment of the Latrobe River, Australia
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
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.