Laplace transform step-response functions are presented for one dimensional transient flow in fractured semi-infinite &amp / finite aquifers. Unsteady flow in the aquifer resulting from a constant discharge pumped from the stream is considered. Flow is one-dimensional, perpendicular to the stream in the confined aquifers. The stream is assumed to penetrate the full thickness of the aquifer. The aquifers may be semi-infinite or finite in width. The Laplace domain solutions are numerically inverted to the real-time domain with the Stehfest (1970) algorithm. During the course of the thesis a simple computer code is written to handle the algorithm and the code is verified by applying it to the one-dimensional transient flow in a semi-infinite homogeneous aquifer problem which can be solved analytically to crosscheck with the numerical results.

This study aims to develop an integrated methodology for finding water leaks in a water distribution network. The integrated methodology is formed from SCADA System, Customer Information System (CIS), and Geographic Information System. The methodology is based on forming district-metered areas (DMA) and sub-DMAs in pressure zones by isolation of the network. Leaking spots in the network are localised by step testing within the DMA. With leak noise loggers leaking spots are localized with an increased accuracy and finally pinpointed by ground microphones. Minimum night flows are observed from the SCADA system before and after the repairs of the leaks to calculate physical water loss percentage in the DMA. Monthly non-revenue water percentage is calculated using the data obtained from SCADA and CIS. With a buffer analysis on the water distribution network data, the benefit of the leak noise loggers is maximized and the working time with the ground microphones are minimized. The methodology is applied in two different DMAs in Antalya water distribution network with different characteristics. In the first DMA, only the developed methodology is applied and a decrease of 19.2% is achieved in physical water losses. In the second DMA, pressure reduction is added to the methodology and a decrease of 4.9% is achieved.