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Final Report <br />City of Paris, Texas <br />Wastewater Collection System Capacity Analysis <br />The Storm Event graph shows in greater detail the nature of the flows during the viewed <br />event. It includes all of the above parameters and additionally shows what portions of <br />the flows arise within that basin. This is again a very good way to determine the nature <br />of the dominant defects within the system. <br />System Data <br />The entire collection system was inspected during the physical inspection phase of the <br />program. This resulted in the accumulation of mapping information that was used to <br />update existing collection system maps. Additionally several techniques were employed <br />to locate and identify defects within the system. All of this information was captured <br />into digital maps and was used as the basis of the collection system model. Details of the <br />defects located are presented in the other portions of this report. <br />GPS Program <br />As a portion of the data collection, a limited GPS survey was performed. This <br />resulted in the establishment of elevations for approximately 270 manholes in the <br />system. Of these 240 were matched and based on these elevations, grade lines <br />were established where possible. 30 GPS points were not used as there was no <br />near matching XY coordinates. It was assumed that the enor in XY would likely <br />be observed in the Z elevation as well. <br />Assumptions <br />In all endeavors of this magnitude, certain assumptions must be made when data is <br />unavailable or of questionable origin. In these areas a conservative approach has been <br />taken to assure that the model represents the system under a"worst-case" scenario. It is <br />important to note that as the system data is updated and verified this can be incorporated <br />into the system model and its overall impacts assessed. <br />A common assumption or estimate of this type is in the roughness of the pipe. The <br />actual ability to measure this roughness may be possible in university laboratories but is <br />practically impossible in the field. The roughness coefficient that is employed tends to <br />generate a capacity number that is slightly less than would be measured in the laboratory <br />setting. This results in a conservative estimate of the flow. <br />Another example of this type of assumption would be in the determination of pipe slope. <br />Pipe slope is a very important parameter in the determination of the hydraulic capacity. <br />To acquire this information, field measurements are made which include the <br />measurement of the bottom of the pipe from the rim of the manhole. This is a difficult <br />task to accomplish in the field. A reasonable assumption (in the absence of field data) <br />would be that the pipe was laid at minimum slope. The capacity that would be calculated <br />would be the minimum that would be accepted by the local authority. The underlying <br />13 <br />