Master of Landscape Architecture or Regional and Community Planning / Department of Landscape Architecture/Regional and Community Planning / Timothy Keane / Kansas City is expecting a 25% growth in population by 2050. This design proposal promotes West Bottoms as a potential area to house some of the new population, and more importantly supply a live and work community for these people. West Bottoms is also home to major industry in Kansas City as well as an up and coming art culture. West Bottoms has great potential for a community that allows the existing and new population to be a part of a live-work-play community with the vacancies in the area. The projected population growth is expected to promote sprawl, further increasing the average driving time to the city. West Bottoms currently has few connections to the downtown and offers few reasons to come to the area. These connections are mainly major bridges or highways. Another issue West Bottoms faces is flooding problems from OK Creek and Turkey Creek, which lead into the Kansas and Missouri Rivers. Finally, post and present industrial soil contamination threatens the groundwater. When mixed with flooding concerns, this contamination is potentially harmful for the health of downstream cities. Drawing inspiration from travels, Kansas City charm, plants, art, and water storage, case studies were researched. Themes from each case study were quantified. These themes paired with inventory and analysis of the West Bottoms provided the basis for the design proposed here. The successional design of the area will progress from a contaminated landscape to a landscape that holds floodwater. The final design holds all of the stormwater from the 100 year 1, 2, 3, 6, 12, and 24 hour rain events. The final design incorporates areas of learning, a variety of paths and seating, a live-work-play community, clean and creative industry, and an art culture that sustains the excitement for the timeline of succession. Overtime this landscape will evolve into a new destination for Kansas City using an integrated solution remediating the soil and holding flood waters as an amenity for the new population.

Damaging changes and interventions in the water cycle in our landscape caused mainly in the last century together with uncertainties from climate change are the cause of more frequent occurrences of hydrological extremes. In Hydrology, the most urgent problem is that the values of the long-term mean flows are decreasing in rivers as well as the yield of groundwater sources, but on the other hand, we cannot forget to the problem of extreme floods. In these consequences developing methods and tools to uncertainty analysis of the reservoir yield and of the reservoir flood protection is very important, useful and desired. The main aim was to determine the functional volumes of the reservoir considering input data measurement uncertainties and to quantify them and was explained how uncertainty took into account in results. The active storage capacity was determined from the historical series of monthly flows that were affected by uncertainties, next were applied on water evaporation, seepage losses of the dam and morphological volume-area curves. The simulation-optimization reservoir model was developed and temporal reliability as reservoir yield performance measures was applied. This model will extend the existing UNCE_RESERVOIR software. The flood capacity was determined from random flood wave variations were obtained by repeatedly generating uncertainty on the flood hydrograph. Software was developed based on the modified Klemes method, which was able to transform flood waves. The measurement uncertainties of data inputs were created using Monte Carlo method in both softwares. By connecting two softwares, the functional volumes of the reservoir under conditions of measurement uncertainties were complexly determined. The case study was applied to the real water reservoir, in the Morava River Basin. The result will be whether the dam is resistant to the current conditions, or the optimal design of the functional volumes of reservoir under conditions uncertainties.