| 1. |
- Hosseini, Seyyed Hasan, et al.
(författare)
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Kombinerade X-bandsanläggningar som väderradar : Jämförelse med etablerade metoder för regnmätning
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In this research report, a new methodology has been developed in order to integrate several X-band radar data sets in to one complete set. Furthermore, a direct and an indirect evaluation have been conducted compared to stationary rain gauges and C-band radar. In the indirect analysis, the input data sets were integrated into runoff models for Ellinge and Lundåkra WWTP where the results were compared to measured incoming flow to the sewage plants.
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| 2. |
- Karagiorgos, Konstantinos, et al.
(författare)
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Rain data crowdsourcing for improving urban flood risk management : Exploring the potential in Sweden
- 2022
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Konferensbidrag (refereegranskat)abstract
- <p>Urban flooding causes considerable societal damage and necessitates increased climate adaptation measures. Extreme rain events' rapid and local character make them difficult to observe, assess, predict, and warn about. One example is the flood event in Malm&#246; in 2014, not only in terms of rain intensities and volumes but also the fact that the more intense parts of the rainfall fell across central Malm&#246; with adverse consequences (approx. SEK 100 million for 1400 claims). &#160;These extreme hydrological events are generally predicted to become more frequent and damaging in Sweden due to the warming climate.</p><p>The overarching aim of this study is to develop an approach to improve urban rain safety by establishing a participatory system for collecting data to support urban flood risk modelling for the adaptation of cities to intense rainfall. Nowadays, meteorological information to improve flood risk modelling can be obtained from non-traditional sources such as privately owned weather stations and social media. Crowdsourcing techniques linked to public engagement via citizen science are frequently used across different scientific areas to supplement traditional data collection.</p><p>Our analysis compiles data from available platforms (WeatherObervationWebsite (WOW) by SMHI, Netatmo platform and WunderMap website) for different case studies. The data will be organised in databases; and validated with SMHI-certified automatic rain gauges, municipal gauges, radar data and integrated gridded products.</p><p>The approach presented opens up insights into the measurement accuracy and issues in operational crowdsourcing of private rain measurements. The new type of rain data will be used for testing their applicability with flood models. The particular focus in the testing will be on the effect of model output from added spatial resolution in rain measurements.</p>
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| 3. |
- Nyberg, Lars, et al.
(författare)
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New data sources for cloudburst risk assessment and management
- 2022
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Ingår i: Vatten: tidskrift för vattenvård /Journal of Water Management and research. - 0042-2886. ; 78:2
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Urban flooding causes large societal damages and increased climate adaptation measures is needed. Therapid and local character of extreme rain events make them difficult to observe and predict, and to issuewarnings for. There is also a lack of data on urban flood damages, mainly because of scarce and nonsystematic data collection and management. In this paper, we present the approaches behind the new research project SPARC. The overarching aim of the project is to improve urban rain safety by establishinga participatory system for crowdsourcing of data, to support urban flood risk modelling and adaptation ofcities to intense rainfall. The project will also investigate flood damage mechanisms on the built environment as well as evaluate and communicate small-scale adaptation measures. Municipal water and wastewater utility organizations and insurance industry representatives will be included in a trans-disciplinaryprocess, also including crowdsourcing in a citizen science approach.
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