Application of Build-up and Wash-off Models for an East-Australian Catchment
Estimation of stormwater pollutants is a pre-requisite
for the protection and improvement of the aquatic environment and
for appropriate management options. The usual practice for the
stormwater quality prediction is performed through water quality
modeling. However, the accuracy of the prediction by the models
depends on the proper estimation of model parameters. This paper
presents the estimation of model parameters for a catchment water
quality model developed for the continuous simulation of stormwater
pollutants from a catchment to the catchment outlet. The model is
capable of simulating the accumulation and transportation of the
stormwater pollutants; suspended solids (SS), total nitrogen (TN) and
total phosphorus (TP) from a particular catchment. Rainfall and water
quality data were collected for the Hotham Creek Catchment (HTCC),
Gold Coast, Australia. Runoff calculations from the developed model
were compared with the calculated discharges from the widely used
hydrological models, WBNM and DRAINS. Based on the measured
water quality data, model water quality parameters were calibrated
for the above-mentioned catchment. The calibrated parameters are
expected to be helpful for the best management practices (BMPs)
of the region. Sensitivity analyses of the estimated parameters were
performed to assess the impacts of the model parameters on overall
model estimations of runoff water quality.
[1] C. L. Chang, S. L. Lo and M. Y. Chen, Uncertainty in watershed response
predictions induced by spatial variability of precipitation. Environmental
Monitoring and Assessment, 127(1-3), pp. 147-153, 2007.
[2] I. E. Ball, R. Jenks and D. Aubourg, An assessment of the availability
of pollutant constituents on road surfaces. Science of the Total
Environment, 209(2-3), pp. 243-254, 1998.
[3] V. A. Tsihrintzis and R. Hamid, Runoff quality prediction from small
urban catchments using SWMM. Hydrological Processes, 12, pp. 311-
329, 1998.
[4] A. B. Deletic and C. T. Maksimovic, Evaluation of water quality factors
in storm runoff from paved areas. Journal of Environmental Engineering,
124(9), pp. 869-879, 1998.
[5] L. H. Kim, K. D. Zoh, S. M. Jeong, M. Kayhanian and M. K. Stenstrom,
Estimating pollutant mass accumulation on highways during dry periods.
Journal of Environmental Engineering, 132(9), pp. 985-993, 2006.
[6] J. D. Sartor and G. B. Boyd, SWMM (Stormwater Management Model)
Version 5, User Manual. Water pollutants aspects of street surface contaminants.
Report No. EPA-R2-72-081, EPA, Washington D.C., United
States, 1972.
[7] W. M. Alley and P. E. Smith, Estimation of accumulation parameters for
urban runoff quality modelling. Water Resources, 17(6), pp. 1657-1664,
1981.
[8] S. Leinster and W. Walden, The application of sophisticated stormwater
quality estimation techniques in Australian catchments- A Queensland
case study. Water 99: Joint Congress, Brisbane, Australia, pp. 589-595,
1999.
[9] J. Chen and B. J. Adams, Analytical urban storm water quality models
based on pollutant buildup and washoff process. Journal of Environmental
Engineering, 132(10), pp. 1314-1330, 2006.
[10] C. Baffaut and J. W. Delleur, Calibration of SWMM runoff quality
model with expert system. Journal of Water Resources Planning and
Management, 116(2), pp. 247-261, 1990.
[11] L. J. Puckett, Identifying the major sources of nutrient water pollution.
Environmental Science and Technology, 29(9), pp. 408-414, 1995.
[12] M. B. Beck, Principles of modelling. Water Science and Technology,
24(6), pp. 1-8, 1991.
[13] J. Vaze and F. H. S. Chew, Nutrient loads associated with different
sediment sizes in urban stormwater and surface pollutants. Journal of
Environmental Engineering, 130(4), pp. 391-396, 2004.
[14] A. Rahman, P. E. Weinmann, T. M. T. Hoang and E. M. Laurensen,
Monte Carlo simulation of flood frequency curves from rainfall. Journal
of Hydrology, 256(3-4), pp. 196-210, 2002.
[15] M. Ilahee and M. A. Imteaz, Improved continuing losses estimation
using initial loss-continuing loss model for medium size rural catchments.
American Journal of Engineering and Applied Sciences, 2(4), pp. 796-
803, 2009.
[16] I. Hossain, M. Imteaz, S. Gato-Trinidad and A. Shanableh, Development
of a catchment water quality model for continuous simulation of
pollutants build-up and wash-off. International Journal of Civil and
Environmental Engineering, 2(4), pp. 210-217, 2010.
[17] L. A. Rossman, SWMM (Stormwater Management Model) Version 5,
User Manual. US EPA (Environmental Protection Agency), Washington
D.C., United States, 2004.
[1] C. L. Chang, S. L. Lo and M. Y. Chen, Uncertainty in watershed response
predictions induced by spatial variability of precipitation. Environmental
Monitoring and Assessment, 127(1-3), pp. 147-153, 2007.
[2] I. E. Ball, R. Jenks and D. Aubourg, An assessment of the availability
of pollutant constituents on road surfaces. Science of the Total
Environment, 209(2-3), pp. 243-254, 1998.
[3] V. A. Tsihrintzis and R. Hamid, Runoff quality prediction from small
urban catchments using SWMM. Hydrological Processes, 12, pp. 311-
329, 1998.
[4] A. B. Deletic and C. T. Maksimovic, Evaluation of water quality factors
in storm runoff from paved areas. Journal of Environmental Engineering,
124(9), pp. 869-879, 1998.
[5] L. H. Kim, K. D. Zoh, S. M. Jeong, M. Kayhanian and M. K. Stenstrom,
Estimating pollutant mass accumulation on highways during dry periods.
Journal of Environmental Engineering, 132(9), pp. 985-993, 2006.
[6] J. D. Sartor and G. B. Boyd, SWMM (Stormwater Management Model)
Version 5, User Manual. Water pollutants aspects of street surface contaminants.
Report No. EPA-R2-72-081, EPA, Washington D.C., United
States, 1972.
[7] W. M. Alley and P. E. Smith, Estimation of accumulation parameters for
urban runoff quality modelling. Water Resources, 17(6), pp. 1657-1664,
1981.
[8] S. Leinster and W. Walden, The application of sophisticated stormwater
quality estimation techniques in Australian catchments- A Queensland
case study. Water 99: Joint Congress, Brisbane, Australia, pp. 589-595,
1999.
[9] J. Chen and B. J. Adams, Analytical urban storm water quality models
based on pollutant buildup and washoff process. Journal of Environmental
Engineering, 132(10), pp. 1314-1330, 2006.
[10] C. Baffaut and J. W. Delleur, Calibration of SWMM runoff quality
model with expert system. Journal of Water Resources Planning and
Management, 116(2), pp. 247-261, 1990.
[11] L. J. Puckett, Identifying the major sources of nutrient water pollution.
Environmental Science and Technology, 29(9), pp. 408-414, 1995.
[12] M. B. Beck, Principles of modelling. Water Science and Technology,
24(6), pp. 1-8, 1991.
[13] J. Vaze and F. H. S. Chew, Nutrient loads associated with different
sediment sizes in urban stormwater and surface pollutants. Journal of
Environmental Engineering, 130(4), pp. 391-396, 2004.
[14] A. Rahman, P. E. Weinmann, T. M. T. Hoang and E. M. Laurensen,
Monte Carlo simulation of flood frequency curves from rainfall. Journal
of Hydrology, 256(3-4), pp. 196-210, 2002.
[15] M. Ilahee and M. A. Imteaz, Improved continuing losses estimation
using initial loss-continuing loss model for medium size rural catchments.
American Journal of Engineering and Applied Sciences, 2(4), pp. 796-
803, 2009.
[16] I. Hossain, M. Imteaz, S. Gato-Trinidad and A. Shanableh, Development
of a catchment water quality model for continuous simulation of
pollutants build-up and wash-off. International Journal of Civil and
Environmental Engineering, 2(4), pp. 210-217, 2010.
[17] L. A. Rossman, SWMM (Stormwater Management Model) Version 5,
User Manual. US EPA (Environmental Protection Agency), Washington
D.C., United States, 2004.
@article{"International Journal of Earth, Energy and Environmental Sciences:52418", author = "Iqbal Hossain and Monzur Alam Imteaz and Mohammed Iqbal Hossain", title = "Application of Build-up and Wash-off Models for an East-Australian Catchment", abstract = "Estimation of stormwater pollutants is a pre-requisite
for the protection and improvement of the aquatic environment and
for appropriate management options. The usual practice for the
stormwater quality prediction is performed through water quality
modeling. However, the accuracy of the prediction by the models
depends on the proper estimation of model parameters. This paper
presents the estimation of model parameters for a catchment water
quality model developed for the continuous simulation of stormwater
pollutants from a catchment to the catchment outlet. The model is
capable of simulating the accumulation and transportation of the
stormwater pollutants; suspended solids (SS), total nitrogen (TN) and
total phosphorus (TP) from a particular catchment. Rainfall and water
quality data were collected for the Hotham Creek Catchment (HTCC),
Gold Coast, Australia. Runoff calculations from the developed model
were compared with the calculated discharges from the widely used
hydrological models, WBNM and DRAINS. Based on the measured
water quality data, model water quality parameters were calibrated
for the above-mentioned catchment. The calibrated parameters are
expected to be helpful for the best management practices (BMPs)
of the region. Sensitivity analyses of the estimated parameters were
performed to assess the impacts of the model parameters on overall
model estimations of runoff water quality.", keywords = "Calibration, Model Parameters, Suspended Solids, TotalNitrogen, Total Phosphorus.", volume = "5", number = "3", pages = "126-6", }