Publications
123 results found
Pina RD, Ochoa Rodriguez S, Simões NE, et al., 2016, Semi- vs. Fully-Distributed Urban Stormwater Models: Model Set Up and Comparison with Two Real Case Studies, Water, Vol: 8, ISSN: 2073-4441
Urban stormwater models can be semi-distributed (SD) or fully distributed (FD). SD models are based on subcatchment units with various land use types, where rainfall is applied and runoff volumes are estimated and routed. FD models are based on the two dimensional (2D) discretization of the overland surface, which has a finer resolution with each grid-cell representing one land use type, where runoff volumes are estimated and directly routed by the 2D overland flow module. While SD models have been commonly applied in urban stormwater modeling, FD models are generally more detailed and theoretically more realistic. This paper presents a comparison between SD and FD models using two case studies in Coimbra (Portugal) and London (UK). To enable direct comparison between SD and FD setups, a model-building process is proposed and a novel sewer inlet representation is applied. SD and FD modeling results are compared against observed records in sewers and photographic records of flood events. The results suggest that FD models are more sensitive to surface storage parameters and require higher detail of the sewer network representation.
Stercke S, Mijic A, Keirstead J, 2016, A Review of Urban Water-energy Linkages in End-use: A Call for Joint Demand Studies, British Journal of Environment and Climate Change, Vol: 6, Pages: 192-200
Moulds S, Buytaert W, Mijic A, 2015, An open and extensible framework for spatially explicit land use change modelling: the lulcc R package, Geoscientific Model Development, Vol: 8, Pages: 3215-3229, ISSN: 1991-9603
We present the lulcc software package, an object-oriented framework for land use change modelling written in the R programming language. The contribution of the work is to resolve the following limitations associated with the current land use change modelling paradigm: (1) the source code for model implementations is frequently unavailable, severely compromising the reproducibility of scientific results and making it impossible for members of the community to improve or adapt models for their own purposes; (2) ensemble experiments to capture model structural uncertainty are difficult because of fundamental differences between implementations of alternative models; and (3) additional software is required because existing applications frequently perform only the spatial allocation of change. The package includes a stochastic ordered allocation procedure as well as an implementation of the CLUE-S algorithm. We demonstrate its functionality by simulating land use change at the Plum Island Ecosystems site, using a data set included with the package. It is envisaged that lulcc will enable future model development and comparison within an open environment.
Paterson W, Rushforth R, Ruddell BL, et al., 2015, Water Footprint of Cities: A Review and Suggestions for Future Research, SUSTAINABILITY, Vol: 7, Pages: 8461-8490, ISSN: 2071-1050
Moulds SC, Buytaert W, Mijic A, 2015, An open and extensible framework for spatially explicit land use change modelling in R: the lulccR package (0.1.0), Geoscientific Model Development, Vol: 8, Pages: 3359-3402, ISSN: 1991-9603
Tsarouchi GM, Buytaert W, Mijic A, 2014, Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India, Hydrol. Earth Syst. Sci., Vol: 18, Pages: 4223-4238
Tsarouchi GM, Mijic A, Moulds S, et al., 2014, Historical and future land-cover changes in the Upper Ganges basin of India, International Journal of Remote Sensing, Vol: 35, Pages: 3150-3176
The green revolution represents one of the greatest environmental changes in India over the last century. The Upper Ganges (UG) basin is experiencing rapid rates of change of land cover and irrigation practices. In this study, we investigated the historical rate of change and created future scenario projections by means of 30 m-resolution multi-temporal Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus data of the UG basin. Post-classification change analysis methods were applied to Landsat images in order to detect and quantify land-cover changes in the UG basin. Subsequently, Markov chain analysis was applied to project future scenarios of land-cover change. Fifteen different scenarios were generated based on historic land-cover change. These scenarios diverged in terms of future projections, highlighting the dynamic nature of the changes. This study has shown that between the years 1984 and 2010 the main land-cover change trends are conversion from shrubs to forest (+4.7%), urbanization (+5.8%), agricultural expansion (+1.3%), and loss of barren land (–9.5%). The land-cover change patterns in the UG basin were mapped and quantified, showing the capability of Landsat data in providing accurate land-cover maps. These results, in combination with those derived from the Markov model, provide the necessary evidence base to support regional land-use planning and develop future-proof water resource management strategies.
Mijic A, LaForce TC, Muggeridge AH, 2014, CO2 injectivity in saline aquifers: the impact of non-Darcy flow, phase miscibility and gas compressibility, Water Resources Research
LaForce T, Mijic A, Ennis-King J, et al., 2014, Semi-analytical solutions for nonisothermal fluid injection including heat loss from the reservoir: Part 2. Pressure and stress, Advances in Water Resources
In this work semi-analytical solutions for saturation, temperature, pressure and in situ reservoir stress are found for immiscible nonisothermal injection into a radial porous medium. A model for advection-dominated, nonisothermal, two-phase flow from a previous work is used to estimate the reservoir pressure and stress that result from injection of cold CO2. Flow is assumed to be one-dimensional and purely advective, while temperature has radial advection in the reservoir and transverse diffusion into the surrounding media. A simplified thermal solution is developed to allow for easier analysis of the reservoir stress. Two pressure models are presented, one which requires numerical integration of the pressure in the two-phase region, and one which is fully analytical, but simplifies the pressure profile. Two models are used to calculate reservoir stress, one which uses the full pressure and temperature profiles and must be numerically integrated, and one which uses the simplified models and has a closed-form analytical solution. The resulting radial and tangential (hoop) stress profiles in the reservoir are compared and it is shown that the simplified model is adequate for estimating the reservoir stresses. The impact of outer boundary conditions on reservoir pressure and stresses are also explored.
Mijic A, LaForce TC, 2012, Spatially varying fractional flow in radial CO<sub>2</sub>-brine displacement (vol 48, W09503, 2012), WATER RESOURCES RESEARCH, Vol: 48, ISSN: 0043-1397
Mijic A, LaForce T, Muggeridge A, 2012, Non-Darcy CO2-brine Displacement with Spatially Varying Flux: Effects on Near-wellbore Permeability, ECMOR XIII
Mijic A, LaForce T, Muggeridge A, 2012, Role of non-Darcy flow on salt precipitation during CO2 sequestration in saline aquifers, Water Futures Conference
Mijic A, Mathias S, LaForce T, 2012, Multiple well systems with non-Darcy flow, Ground Water
Mijic A, LaForce T, 2012, Spatially varying fractional flow in radial CO2-brine displacement, Water Resources Research, Vol: 48
Mijic A, LaForce T, 2011, Analytical solutions to radial two-phase displacement with nonlinear flow, AGU Conference
Mijic A, LaForce T, 2011, Extension of the Buckley-Leverettformulation to variable andnonlinear two-phase flow, PGE Seminar, ESE Department, Imperial College London
Mijic A, LaForce T, 2011, Extension of the Buckley-Leverett formulation to variable and nonlinear two-phase flow, Clean Fossil Fuel Seminars, Imperial College London
Mijic A, LaForce T, 2011, Radial two-phase displacement with nonlinear flow, PERM Affiliates Meeting
Mijic A, LaForce T, Mathias S, 2011, Near wellbore effects in CO2 storage into saline aquifers, UKCCSC Winter School, Imperial College London
Mijic A, LaForce T, Mathias S, 2010, Near wellbore effects in CO2 storage into saline aquifers, Grantham Inst. Year-end Presentations
Mijic A, Mathias S, 2010, Forchheimer flow in multiple well systems, MSc Hydology Hydroinformatics Lecture, Guest presentation, Civil and Env. Eng. Dept, Imperial College London
Mijic A, LaForce T, Mathias S, 2010, Near wellbore effects in CO2 storage into saline aquifers, PGE Seminar (transfer exam presentation), ESE Dept, Imperial College London
Mijic A, LaForce T, Mathias S, 2010, Near Wellbore Effects in CO2 Storage, Grantham Review Meeting
Mijic A, LaForce T, 2010, Effects of non-Darcy flow in CO2 injection into saline aquifers, Clean Fosil Fuels Seminar, Imperial College London
Mijic A, LaForce T, 2010, Effects of non-Darcy flow in CO2 injection into saline aquifers, ECMOR XII
Mijic A, Mathias S, LaForce T, 2010, Nonlinear Flow in Multiple Well Systems, BHS
Mijic A, LaForce T, Mathias S, 2010, Near Wellbore Effects in CO2 Storage, PERM Affiliates Meeting
Prodanovic D, Ivanovic R, Branisavljevic N, et al., 2009, Streamflow measurement by salinity dilution method, Vodoprivreda, Vol: 41, Pages: 159-168
Mijic A, Ivetic M, Prodanovic D, 2007, Analytical optimization method for water supply systems modelling, Voda i sanitarna tehnika, Vol: 1, Pages: 5-14, ISSN: 0350-5049
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