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  • 1
    Online Resource
    Online Resource
    Leachability of microplastic from different plastic materials
    Elsevier BV ; 2021
    In:  Journal of Environmental Management Vol. 294 ( 2021-09), p. 112995-
    Details
    In: Journal of Environmental Management, Elsevier BV, Vol. 294 ( 2021-09), p. 112995-
    Type of Medium: Online Resource
    ISSN: 0301-4797
    URL: Article
    DOI: 10.1016/j.jenvman.2021.112995
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1469206-5
    SSG: 12
    SSG: 14
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  • 2
    Online Resource
    Online Resource
    Climate Change Impacts on Inflows into Lake Eppalock Reservoir from Upper Campaspe Catchment
    MDPI AG ; 2021
    In:  Hydrology Vol. 8, No. 3 ( 2021-07-24), p. 108-
    Details
    In: Hydrology, MDPI AG, Vol. 8, No. 3 ( 2021-07-24), p. 108-
    Abstract: Climate change has significant effects on societies and ecosystems. Due to the strong link between climate and the hydrological cycle, water resources is one of the most affected fields by climate change. It is of great importance to investigate climate change effects on streamflows by producing future streamflow projections under different scenarios to create adaptation measures and mitigate potential impacts of climate change. The Upper Campaspe Catchment (UCC), located at North Central Victoria in Australia, is a significant catchment as it provides a large portion of total inflow to the Lake Eppalock Reservoir, which supplies irrigation to the Campaspe Irrigation district and urban water to Bendigo, Heathcote, and Ballarat cities. In this study, climate change effects on monthly streamflows in the UCC was investigated using high resolution future climate data from CSIRO and MIROC climate models in calibrated IHACRES hydrological model. The IHACRES model was found to be very successful to simulate monthly streamflow in UCC. Remarkable streamflow reductions were projected based on the climate input from both models (CSIRO and MIROC). According to the most optimistic scenario (with the highest projected streamflows) by the MIROC-RCP4.5 model in near future (2035–2064), the Upper Campaspe River will completely dry out from January to May. The worst scenario (with the lowest streamflow projection) by the CSIRO-RCP8.5 model in the far future (2075–2104) showed that streamflows will be produced only for three months (July, August, and September) throughout the year. Findings from this study indicated that climate change will have significant adverse impacts on reservoir inflow, operation, water supply, and allocation in the study area.
    Type of Medium: Online Resource
    ISSN: 2306-5338
    URL: Article
    DOI: 10.3390/hydrology8030108
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2777964-6
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  • 3
    Online Resource
    Online Resource
    3D Numerical Modelling of Flow Around Skewed Bridge Crossing
    Informa UK Limited ; 2012
    In:  Engineering Applications of Computational Fluid Mechanics Vol. 6, No. 3 ( 2012-01), p. 475-489
    Details
    In: Engineering Applications of Computational Fluid Mechanics, Informa UK Limited, Vol. 6, No. 3 ( 2012-01), p. 475-489
    Type of Medium: Online Resource
    ISSN: 1994-2060 , 1997-003X
    URL: Article
    DOI: 10.1080/19942060.2012.11015436
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2012
    detail.hit.zdb_id: 2474593-5
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  • 4
    Online Resource
    Online Resource
    GIS-based Study on the Susceptibility of Dubai Creek (UAE) to Eutrophication
    HARD Publishing Company ; 2016
    In:  Polish Journal of Environmental Studies Vol. 25, No. 6 ( 2016-11-24), p. 2275-2282
    Details
    In: Polish Journal of Environmental Studies, HARD Publishing Company, Vol. 25, No. 6 ( 2016-11-24), p. 2275-2282
    Type of Medium: Online Resource
    ISSN: 1230-1485 , 2083-5906
    URL: Article
    DOI: 10.15244/pjoes/63659
    Language: Unknown
    Publisher: HARD Publishing Company
    Publication Date: 2016
    detail.hit.zdb_id: 1203127-6
    detail.hit.zdb_id: 2070542-6
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  • 5
    Online Resource
    Online Resource
    Prediction of afflux on undistorted scale bridge model
    Canadian Science Publishing ; 2009
    In:  Canadian Journal of Civil Engineering Vol. 36, No. 6 ( 2009-06), p. 1051-1058
    Details
    In: Canadian Journal of Civil Engineering, Canadian Science Publishing, Vol. 36, No. 6 ( 2009-06), p. 1051-1058
    Abstract: This paper presents the results and findings from several sets of experimental data on afflux around bridge waterways in overbank flow condition. The paper also investigates the accuracy, capability, and suitability of one-dimensional hydraulic river modelling software (HEC-RAS and ISIS) to model flow through bridge structure. To eliminate a scaling effect between the laboratory-scale experiments and model techniques, all experimental results were scaled up using an undistorted-scale model in which both the vertical and horizontal scale ratio was 100. A total of six methods of predicting afflux, the energy method, the momentum method, the water surface profile (WSPRO) method, Yarnell's method (in HEC-RAS), the U.S. Bureau of Public Roads (USBPR) method, and the arch bridge method (in ISIS) were compared with scaled up experimental results. The results for ISIS are significantly different from the measured data and the output from HEC-RAS. The energy method and the momentum method in HEC-RAS are the most accurate methods to compute the afflux around the bridge waterways.
    Type of Medium: Online Resource
    ISSN: 0315-1468 , 1208-6029
    URL: Article
    DOI: 10.1139/L09-045
    Language: English
    Publisher: Canadian Science Publishing
    Publication Date: 2009
    detail.hit.zdb_id: 1490923-6
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  • 6
    Online Resource
    Online Resource
    A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
    IWA Publishing ; 2016
    In:  Water Quality Research Journal Vol. 51, No. 3 ( 2016-08-11), p. 219-232
    Details
    In: Water Quality Research Journal, IWA Publishing, Vol. 51, No. 3 ( 2016-08-11), p. 219-232
    Abstract: This paper presents the outcomes of a study on the water quality of Dubai Creek which aimed to assess its eutrophication status. Field water quality data from stations along the creek collected in 2012 and 2013 were used. Ordinary least squares (OLS) and spatial autocorrelation analyses were used as part of geographic information system (GIS)-based exploratory regression analysis to study the relationship between chlorophyll-a and nutrients, specifically total nitrogen and phosphate. Multiple logistic regression analysis was used to study the vulnerability of the creek to eutrophication. Results showed unique trends of spatiotemporal variability of chlorophyll-a and nutrients. OLS modeling showed high correlation between field and modeled chlorophyll-a values between Al Garhoud Bridge and Sanctuary stations, located about 2 km upstream and downstream of the Sewage Treatment Plant (STP) Outfall station. Furthermore, results showed the lower half of the creek was more vulnerable to eutrophication than the upper, which was believed to be due to the location of the STP station, poor flushing, shallow water depth, and irregular circulation patterns in the creek. Accordingly, this study recommends development of a mitigation plan in order to control the levels of nutrients in the creek.
    Type of Medium: Online Resource
    ISSN: 1201-3080 , 2408-9443
    URL: Article
    DOI: 10.2166/wqrjc.2015.020
    Language: English
    Publisher: IWA Publishing
    Publication Date: 2016
    detail.hit.zdb_id: 2948758-4
    detail.hit.zdb_id: 2739923-0
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Discharge estimation in compound channels with fixed and mobile bed
    Springer Science and Business Media LLC ; 2009
    In:  Sadhana Vol. 34, No. 6 ( 2009-12), p. 923-945
    Details
    In: Sadhana, Springer Science and Business Media LLC, Vol. 34, No. 6 ( 2009-12), p. 923-945
    Type of Medium: Online Resource
    ISSN: 0256-2499 , 0973-7677
    URL: Article
    DOI: 10.1007/s12046-009-0056-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2009
    detail.hit.zdb_id: 2097680-X
    SSG: 11
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  • 8
    Online Resource
    Online Resource
    Prediction of backwater level of bridge constriction using an artificial neural network
    Thomas Telford Ltd. ; 2013
    In:  Proceedings of the Institution of Civil Engineers - Water Management Vol. 166, No. 10 ( 2013-11), p. 556-570
    Details
    In: Proceedings of the Institution of Civil Engineers - Water Management, Thomas Telford Ltd., Vol. 166, No. 10 ( 2013-11), p. 556-570
    Abstract: Bridge constriction in channels usually increases the water level well above the normal depth and may result in overflow on the surrounding floodplain. In this paper, the experimental backwater level at which the maximum afflux value was observed due to bridge constriction was investigated. An artificial neural network (ANN) was used to predict the backwater level based on Manning's roughness coefficient of the main channel (n mc ) and of the floodplain (n fp ), bridge width (b) and flow discharge (Q). A multi-layer perceptron (MLP) ANN was used to predict the backwater level using these parameters. Multiple linear (MLR) regression and multiple non-linear regression (MNLR) were used as benchmarks for comparison of ANN results. It is concluded that an ANN can very accurately predict the backwater level. The developed ANN model was then used to conduct a parametric study to investigate the influence of n mc , n fp , b and Q on the backwater level due to a bridge constriction without piers. It is concluded that n mc and Q have a more profound effect on the backwater level than does n fp , while b has very little effect on the backwater level within this range of parameters. Other observations and conclusions are also drawn.
    Type of Medium: Online Resource
    ISSN: 1741-7589 , 1751-7729
    URL: Article
    DOI: 10.1680/wama.11.00112
    Language: English
    Publisher: Thomas Telford Ltd.
    Publication Date: 2013
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  • 9
    Online Resource
    Online Resource
    Green and Ampt infiltration model extended beyond rain duration
    Wiley ; 2015
    In:  Water and Environment Journal Vol. 29, No. 4 ( 2015-12), p. 515-522
    Details
    In: Water and Environment Journal, Wiley, Vol. 29, No. 4 ( 2015-12), p. 515-522
    Abstract: A simple method requiring only hand calculations is presented in this study that enables the use of the Green and Ampt infiltration model beyond the rain duration. The method takes into account that the runoff and infiltration processes continue for some period of time after the rain stops. Both the ground surface and subsurface characteristics are considered. A conjunctive overland flow‐infiltration mathematical model is employed for this purpose. A kinematic‐wave approach is used to model the overland flow, and the Green and Ampt equations are employed to calculate the infiltration rates. The governing equations are expressed and solved in terms of dimensionless parameters to enable the generalization of the results based on the principle of hydrologic similarity. A four‐point finite difference scheme is used to solve the governing equations. The results are presented in chart form. An example application of the proposed method is included.
    Type of Medium: Online Resource
    ISSN: 1747-6585 , 1747-6593
    URL: Issue
    URL: Article
    DOI: 10.1111/wej.2015.29.issue-4
    DOI: 10.1111/wej.12120
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2218235-4
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  • 10
    Online Resource
    Online Resource
    Grass filter strip residence time‐trap efficiency relationship
    Wiley ; 2017
    In:  Water and Environment Journal Vol. 31, No. 2 ( 2017-05), p. 277-283
    Details
    In: Water and Environment Journal, Wiley, Vol. 31, No. 2 ( 2017-05), p. 277-283
    Abstract: This paper investigates the relationship between trap efficiency and residence time in vegetative filter strips under unsteady flow conditions. A mathematical model, based on a kinematic‐wave formulation of overland flow and a mass balance equation for suspended sediments, is employed. An empirical equation is used to estimate sediment removal. The governing equations are written and solved numerically in terms of a set of dimensionless variables. The results indicate that the relationships between the trap efficiency and residence time depend on the shape of the inflow hydrograph. Further analysis of results identified another non‐dimensional parameter that can predict the trap efficiency if only the volume and the peak rate of inflow are known. While the mathematical model employed includes many elements of the sophisticated vegetative filter strip models previously reported, the resulting charts are as easy to use as the oversimplified design methods currently in use
    Type of Medium: Online Resource
    ISSN: 1747-6585 , 1747-6593
    URL: Issue
    URL: Article
    DOI: 10.1111/wej.2017.31.issue-2
    DOI: 10.1111/wej.12240
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2218235-4
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