Supporting data for “Evaluation, Design and Distribution of Sustainable Drainage Systems in Sloping Environments”

The dataset titled "Evaluation, Design and Distribution of Sustainable Drainage Systems in Sloping Environments" provides comprehensive data supporting the research on sustainable drainage systems, specifically in sloping environments. The research focuses on understanding and optimizing drainage systems to enhance their efficiency and sustainability. The dataset is organized into three main folders, each corresponding to a chapter of the associated thesis, and represents independent research studies. The first folder contains laboratory results of stepped bioretention cells from Chapter 2, which document the performance and behavior of stepped bioretention cells through a series of experiments. This data is crucial for the calibration and validation of numerical models discussed in the thesis.The second folder includes data used for simulations in Chapter 4, focusing on bioretention cells located in St. Francis, Cincinnati, OH. It encompasses various environmental parameters such as rainfall, inflow rates, outflow rates, and evaporation, necessary for simulating the performance of these systems in real-world scenarios.The third folder provides data for catchment-wide simulations in Chapter 5, including digital elevation models, rainfall measurements, monitored groundwater, and imperviousness data. This information is vital for understanding the broader implementation of drainage systems across different landscapes.Each dataset is meticulously organized, with clear descriptions of variables, data collection methods, and file structures. The use of software such as ArcGIS is essential for analyzing spatial data included in the dataset. The dataset is prepared with a focus on facilitating understanding and reuse by other researchers and practitioners interested in sustainable drainage systems. Researchers are encouraged to reference the chapters of the associated thesis for detailed methodological explanations and to appropriately cite the dataset when used in their work.