Theįindings show that the flow sensors evaluated can perform satisfactorily if measurement sites are Of errors and gaps in field measurements, showing that regular maintenance is required. Steeper pipe slopes and upstream obstacles lead to larger measurement errors,īut this last effect was reduced by increasing water levels in the pipe. Good agreement with a reference instrument in the laboratory, as long as installation conditions Requirements for maintenance and data acquisition. Different types of precipitation sensors were associated with different The precipitation sensors used in this thesis showed generally satisfactory performance in fieldĬalibration checks. (b) calibration data selection, (3) evaluate two alternative calibration methods for green urbanĭrainage models, and (4) discuss desirable structural features in urban drainage models. Thesis aims to (1) evaluate several sensors for hydrometeorological measurements in urbanĬatchments, (2) improve understanding of the uncertainties arising from (a) model structure and Therefore, the overall objective of this thesis is to contribute to the improvedĪpplicability and reliability of computer models of green urban drainage systems. These uncertainties haveīeen investigated extensively for traditional pipe-based urban drainage systems, but not yet for Outcomes, which can affect the design and operation of these systems. Uncertain measured data, so uncertainties will be involved in the modelling process and its Models of this kind are simplifications of reality and are based on Computer models are used to analyse and predict the performance of such systems forĭesign and operation purposes. Reducing downstream flooding and water quality problems associated with pipe-based drainage Green urban drainage systems are used to avoid flooding and harm to people and property, while
Convert pcswmm 2016 to mike urban free#
My thanks go to Akademiska Hus for providing additional information on the Porsön catchment.ĭuring my work on this thesis I made extensive use of free and open source software, and I would like to thank all authors of and contributors to Python, Jupyter, Matplotlib, Pandas, Seaborn, Numpy, SciPy and swmmtoolbox.įinally I would like to thank all those who helped me to relax as well: my friends and family for being there, my colleagues for providing a pleasant work environment, my flatmates at Väderleden for providing a homely atmosphere while I lived there, and my teammates/opponents from Luleå Foreign Hockey Legion and StiL Fencing for all the fun I had training and practicing! In addition I would like to thank Snežana for her help in the Porsön catchment and the fluid mechanics lab. My gratitude also goes out to the Fluid Mechanics research group at LTU for allowing me to use their lab and to Henrik Lycksam for his help with the lab work. I would therefore like to send a big thank you to Helen, Karolina and Kerstin for their work on the pilot catchment in Porsön to Hendrik for his work on the test site in Solbacken and to Ralf for his work on both. Both of these sites were inititally established by others from the Urban Water Engineering research group.
I would like to thank Luleå kommun for supporting the pilot catchment in Porsön, Luleå and Skellefteå kommun for their support of the study site in Solbacken, Skellefteå. Several people and organizations provided practical support to this thesis.
I would also like to thank Jiri, for his encouragement and minutious feedback and comments on paper III of this thesis, and for his helpful comments on my work in general I would like to thank Tone (NTNU) for helping out with the data for and her feedback on the drafts of paper I in this thesis and I would like to thank Sarah for her help with Swedish translations.
Convert pcswmm 2016 to mike urban license#
HydroPraxis provided a free license for PCSWMM and DHI provided free licenses for MIKE URBAN and MIKE ZERO.įirst and foremost I would like to express my great gratitude to Günther and Maria for all their supervision, support, feedback, encouragement and the fruitful discussions during the past three years, and to Anna-Maria for her help in getting started on my PhD studies during my first half year of working at LTU. The work was financed by Formas (grant numbers 8) and was part of the GreenNano project and the DRIZZLE Centre for Stormwater management (both financed by Vinnova). The work was carried out as part of the research cluster Stormwater&Sewers, a collaboration between the Urban Water Engineering research group at LTU, the municipalities of Luleå, Skellefteå, Östersund and Boden, the municipal organizations Vakin (Umeå), MittSverige Water & Waste (Sundsvall) and VA SYD, and the Swedish Water and Wastewater Association. This licentiate thesis presents the results of my work during the past three years in the Urban Water Engineering research group at Luleå University of Technology.