PhD

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Theses and Dissertations of the Sri Lanka Institute of Information Technology (SLIIT) are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License .

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Open Access
Interactions between river flow and seepage flow
(M. Sc. Thesis, Hokkaido University, Japan, 2009-09) Rathnayake, U. S
Many previous studies have been carried on the interactions between river flow and the seepage flow in the environmental and biological point of view. Even though the interactions between river flow and seepage flow is recognized as an important process in rivers, previous literature hardly touches on the stability or the limitations for the interactions. Since these interactions are occurred frequently at least in mountainous regions, the river flow cannot be well treated as a lined cannel flow. Understanding the stability of these interactions among river flow and the seepage flow would be advantages for several research areas; including river environmental engineering, ecological and biological studies. The subsurface layer below the river is known as the “hyporheic zone” and it can be defined as a saturated band of sediment that surrounds river flow and forms a linkage between the river and the aquifer. The zone facilitates to have bidirectional interactions as up-welling interactions and downwelling interactions. The origin of these interactions is due to the pressure and velocity differences between the two layers. The large velocity difference between the river flow layer and the seepage flow layer causes the instability of the flows. Due to this flow instability, a reciprocating flow motion is generated between the hyporheic layer and the above. In addition flow obstructions create an upstream high-pressure zone and a downstream low-pressure zone, resulting in hyporheic circulation under the object. The stability of these hyporheic interactions is analyzed using the linear stability analysis technique. Linear stability analysis technique is used to understand the stability of the natural phenomenon by many researchers. Navier-Stokes equations and Brinkman-Forchheimer equations are used in order to formulate the river flow and seepage flow interactions respectively. The open channel flow in river is analyzed using the mixing length turbulent model and spectral collocation method incorporated with the Chebyshev polynomials are used to perform the numerical solution of the perturbed equations. Stability diagrams are discussed with several slopes of the layers against the dimensionless particle diameter and wave number. It has been understood that the range for the occurrence of instability region increases with the slope of the combined river and seepage layers. However it is important to recognize another instability region which occurs even in the range of small dimensionless particle diameter with relatively high wave numbers. Several experiments are carried out, in order to understand the hyporheic interactions. Seepage layer is modeled using a Hele-Shaw which is a longitudinal parallel plate model. Methylene blue is used as the tracer to understand the hyporheic interactions and the experiment is conducted for two slopes as 0.1% and 0.2%. It can be concluded that the dimensionless dominant wave numbers have an effect on the combined channel slope and the Froude number of the river flow. In addition, it can be concluded that the residence time of hyporheic interactions are increased with the height of the river layer. Rough comparison between the theoretical analysis and the experimental observations is carried out. It can be concluded that the same tendency in the theoretical analysis and the experimental observations from the comparison figures
Open Access
Optimal management and operational control of urban sewer systems
(University of Strathclyde, 2013) Rathnayake, U. S
Combined sewer networks control, like many other real world problems, is usually identified with competing and conflicting objectives. Decision makers have a great need of selecting the best possible control strategy in minimizing the combined sewer overflows (CSOs) when controlling the sewer networks. However, this control strategy should be cost effective to produce a feasible control approach in real world. Cost effectiveness has become significantly important in present economic recession. Over the past decades, people have witnessed the control strategies based on minimization of CSOs. However, it is now, not only to minimize CSOs, but also to minimize the impact to the natural water from these CSOs. Therefore, this research explores the development of a holistic framework that is used for the multi-objective optimization of urban wastewater systems, considering flows and water quality in combined sewers and the cost of wastewater treatment. Pollution levels of several water quality parameters in dry weather flows and stormwater runoff are considered. Pollutographs for several water quality parameters are generated for the stormwater runoff. Temporal and spatial variations of the stormwater runoff are incorporated using these pollutographs for different land-uses. Furthermore, pollutographs are developed for different storm conditions, including single, two consecutive and migrating storms. Evolutionary algorithms are extensively used in solving the developed multiobjective optimization approach. Formulations for two different optimization approaches, one for the snapshot optimization and the other one for the dynamic optimization are developed. Simulation results from a full hydraulic model, including water quality routing are used in the optimization. The performance of the multi-objective optimization models are tested on a simple interceptor sewer system for several storm conditions. The proposed optimization approach for snapshot optimization gives the optimal CSO control settings where a single set of static control settings is used throughout the considered time period. However, the proposed optimization approach for dynamic optimization is capable of producing control strategies over the full duration of storm period. Furthermore, results for a number of alternative formulations in constraint handling for the developed multi-objective optimization approach are compared. They produce interesting findings. Overall, the constraint handling formulations developed outside the genetic (NSGA II) algorithm provides better control in combined sewer networks. In addition, the results of the multi-objective optimization demonstrate the benefits of the usage of optimization approach and its potential to establish the key properties of a range of control strategies through an analysis of the various tradeoffs involved. Solutions from the dynamic optimization approach highlight the usage of the real-time control in combined sewer systems. Given that the technology is there to measure water quality and flow rates, collect data and send feedbacks to the sewer system through central processing unit and the usage of high performance computers, the developed optimization model is capable of handing the present society's concerns in combined sewer systems. The model is capable of controlling the existing sewer networks according to the receiving water regulations and the fund availability of the wastewater treatment plants. However, further research is required to apply the developed multi-objective optimization approach in real-time control of urban sewer systems.