| 1. |
- Hosseini, Seyyed Hasan, et al.
(författare)
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Evaluation of a new X-band weather radar for operational use in south Sweden
- 2020
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Ingår i: Water Science and Technology. - : IWA Publishing. - 0273-1223 .- 1996-9732. ; 81:8, s. 1623-1635
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Tidskriftsartikel (refereegranskat)abstract
- The performance of a new type of X-band Weather Radar (WR) for Sweden during a pilot run is studied. Compared to the conventional C-band WRs, the X-band WR covers a smaller area but with a higher spatiotemporal resolution, making it suitable for urban hydrological applications. Rainfall estimations from different elevation angles of the radar (levels) are compared at one-minute and single-event timescales with the observations of several rain gauges at different ranges using hyetographs. In general, the estimations aligned well with observations and the best match appeared for ranges as long as 5–10 km. Seemingly, radar estimations suffered from overshooting of lower lying showers by higher level scans in longer ranges (19–30 km) and from the reflectivity contamination due to moving objects in short ranges (<1 km). Also, the effective range of the radar dropped sharply for the moments when a cloudburst was located over the radar. Although various sources of error could affect the X-band WR rainfall estimates, higher resolution spatiotemporal rainfall monitoring for wider areas will benefit from an integration of data from a network of X-band WRs.
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| 2. |
- South, Nicholas, et al.
(författare)
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Väderradarteknik inom VA-området : Test av metodik
- 2019
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The report consists of a literature study of X-band weather radar technology, a comparison of rain data between an X-band radar facility near Lund and rain gauges, an analysis of flow- and sewage overflow data during rain events and implementation ideas of the X-band radar.
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| 3. |
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| 4. |
- Bornefalk Hermansson, Anna, 1971-
(författare)
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Resampling Evaluation of Signal Detection and Classification : With Special Reference to Breast Cancer, Computer-Aided Detection and the Free-Response Approach
- 2007
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The first part of this thesis is concerned with trend modelling of breast cancer mortality rates. By using an age-period-cohort model, the relative contributions of period and cohort effects are evaluated once the unquestionable existence of the age effect is controlled for. The result of such a modelling gives indications in the search for explanatory factors. While this type of modelling is usually performed with 5-year period intervals, the use of 1-year period data, as in Paper I, may be more appropriate.The main theme of the thesis is the evaluation of the ability to detect signals in x-ray images of breasts. Early detection is the most important tool to achieve a reduction in breast cancer mortality rates, and computer-aided detection systems can be an aid for the radiologist in the diagnosing process.The evaluation of computer-aided detection systems includes the estimation of distributions. One way of obtaining estimates of distributions when no assumptions are at hand is kernel density estimation, or the adaptive version thereof that smoothes to a greater extent in the tails of the distribution, thereby reducing spurious effects caused by outliers. The technique is described in the context of econometrics in Paper II and then applied together with the bootstrap in the breast cancer research area in Papers III-V.Here, estimates of the sampling distributions of different parameters are used in a new model for free-response receiver operating characteristic (FROC) curve analysis. Compared to earlier work in the field, this model benefits from the advantage of not assuming independence of detections in the images, and in particular, from the incorporation of the sampling distribution of the system's operating point.Confidence intervals obtained from the proposed model with different approaches with respect to the estimation of the distributions and the confidence interval extraction methods are compared in terms of coverage and length of the intervals by simulations of lifelike data.
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| 5. |
- 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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| 6. |
- 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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| 7. |
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| 8. |
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| 9. |
- Larsson, Rolf, et al.
(författare)
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Framtidens ledningssystem för skola och förskola
- 2012
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In this report a new method, a Development laboratory (D-lab), has been used. From the D-lab a prototype for e new Decision Support System for school managers evolved, that helped to adress problems with Management by Objectives (MBO) in local school organisations. In the report critique is raised against the way MBO has been used in school management. As a conclusion, a systematic development model is presented that could lead to organisational development and learning.
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| 10. |
- 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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