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Träfflista för sökning "WFRF:(Brandt S. Anders 1970 ) ;hsvcat:2"

Search: WFRF:(Brandt S. Anders 1970 ) > Engineering and Technology

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  • Brandt, S. Anders, 1970-, et al. (author)
  • Kartografiska Sällskapets utbildningssektion : ett nytt tillskott i KS-familjen
  • 2006
  • In: Kart- & bildteknik. - Gävle : Kartografiska sällskapet. - 1651-792X. ; 21:2, s. 10-11
  • Journal article (pop. science, debate, etc.)abstract
    • På Kartografiska Sällskapets årsmöte i Jönköping den 21 mars beslutades att inrätta en ny sektion inom sällskapet – en utbildningssektion. Denna artikel beskriver bakgrunden till sektionen och dess verksamhetsidé. Utbildningssektionens embryo tillkom för tre år sedan efter förslag från ULI som delegerade uppgiften till Geomatikprogrammet vid Högskolan i Gävle. Tanken vara att skapa ett forum för lärare inom geomatikområdet. Både för att sammanföra lärare från olika lärosäten, för att öka förståelsen för varandras arbeten, och för att kunna förbättra möjligheterna till samarbete.
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  • Kordi, Maryam, 1979-, et al. (author)
  • Effects of increasing fuzziness on analytic hierarchy process for spatial multicriteria decision analysis
  • 2012
  • In: Computers, Environment and Urban Systems. - : Elsevier. - 0198-9715 .- 1873-7587. ; 36:1, s. 43-53
  • Journal article (peer-reviewed)abstract
    • Multicriteria decision analysis (MCDA) involves techniques which relatively recently have received great increase in interest for their capabilities of solving spatial decision problems. One of the most frequently used techniques of MCDA is Analytic Hierarchy Process (AHP). In the AHP, decision-makers make pairwise comparisons between different criteria to obtain values of their relative importance. The AHP initially only dealt with crisp numbers or exact values in the pairwise comparisons, but later it has been modified and adapted to also consider fuzzy values. It is necessary to empirically validate the ability of the fuzzified AHP for solving spatial problems. Further, the effects of different levels of fuzzification on the method have to be studied. In the context of a hypothetical GIS-based decision-making problem of locating a dam in Costa Rica using real-world data, this paper illustrates and compares the effects of increasing levels of uncertainty exemplified through different levels of fuzzification of the AHP. Practical comparison of the methods in this work, in accordance with the theoretical research, revealed that by increasing the level of uncertainty or fuzziness in the fuzzy AHP, differences between results of the conventional and fuzzy AHPs become more significant. These differences in the results of the methods may affect the final decisions in decision-making processes. This study concludes that the AHP is sensitive to the level of fuzzification and decision-makers should be aware of this sensitivity while using the fuzzy AHP. Furthermore, the methodology described may serve as a guideline on how to perform a sensitivity analysis in spatial MCDA. Depending on the character of criteria weights, i.e. the degree of fuzzification, and its impact on the results of a selected decision rule (e.g. AHP), the results from a fuzzy analysis may be used to produce sensitivity estimates for crisp AHP MCDA methods.
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  • Lim, Nancy Joy, 1980-, et al. (author)
  • DEM Resolution and Roughness Effect in Relation to Model Performance
  • 2023. - 1
  • In: Geospatial Information Handbook for Water Resources and Watershed Management, Volume II. - Boca Raton : CRC Press. - 9781003175025 - 9781032006499 - 9781032006512
  • Book chapter (peer-reviewed)abstract
    • To understand how the produced flood boundaries from hydraulic modeling can be affected by the resolution of the Digital Elevation Model (DEM) and the roughness values used, and how different performance measures can affect the choice of most optimal models, different simulations were conducted using varying pairs of DEM and Manning’s n. Each result was then compared to the reference flood data and analyzed using different performance measures that account for the sizes of inundation (F-statistics), and the distance between the modeled and reference flood (disparity measures). The results showed that the different pairs of DEM resolution and Manning’s n produced different performance scores and flood extents. High-resolution DEMs performed generally better with higher resolution DEMs, while lower resolution DEMs received better performance when paired with lower Manning’s n. The different model performances also produced different combinations having the most optimal performances depending on the assumptions they applied in the computations. Additionally, the results showed that models from coarser resolution DEMs can produce higher maximum scores than higher resolution DEMs. However, when the maps, cross-sectional profiles, and the water surface elevations from the coarser resolution DEMs were compared with the higher resolution DEMs, they are more inaccurate in representing the terrain, flood boundaries, and the water depths. Thus, interpreting model results only based on performance measure, particularly for lower resolution DEMs, may give incorrect conclusion on the optimality of the result. It is important that the flood extent maps, cross-sectional profiles, and the derived water depths are analyzed together with the performance scores to gain better understanding of the reliability of flood model results.
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  • Brandt, S. Anders, 1970- (author)
  • Okunskap får städer att svämma över
  • 2022
  • In: Forskning & framsteg. - Stockholm : Stiftelsen Forskning & Framsteg. - 0015-7937. ; :2, s. 38-39
  • Journal article (pop. science, debate, etc.)abstract
    • Ett varmare klimat innebär kraftigare skyfall och fler översvämningar. Men många kommuner är dåliga på att avgöra var risken för höga vattenflöden gör det olämpligt att bygga. Det menar naturgeografen Anders Brandt – som vill se ett kunskapslyft i geografi.
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  • Brandt, S. Anders, 1970-, et al. (author)
  • Importance of river bank and floodplain slopes on the accuracy of flood inundation mapping
  • 2012
  • In: River Flow 2012. - Leiden, The Netherlands : CRC Press / Balkema (Taylor & Francis). - 9780415621298 - 9780203076354 - 9781466575523 ; , s. 1015-1020
  • Conference paper (peer-reviewed)abstract
    • Effective flood assessment and management depend on accurate models of flood events, which in turn are strongly affected by the quality of digital elevation models (DEMs). In this study, HEC-RAS was used to route one specificwater discharge through the main channel of the Eskilstuna River, Sweden. DEMs with various resolutions and accuracies were used to model the inundation. The results showed a strong positive relationship between the quality of theDEMand the extent of the inundation. However, evenDEMswith the highest resolution produced inaccuracies. In another case study, the Testebo River, the model settings could be calibrated, thanks to a surveyed old inundation event. However, even with the calibration efforts, the resulting inundation extents showed varying degrees of deviation from the surveyed flood boundaries. Therefore, it becomes clear that not only does the resolution of the DEM impact the quality of the results; also, the floodplain slope perpendicular to the river flow will impact the modelling accuracy. Flatter areas exhibited the greatest predictive uncertainties regardless of the DEM’s resolution. For perfectly flat areas, uncertainty becomes infinite.
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  • Andersson, Kjell, 1956-2014, et al. (author)
  • Limited GIS skills hamper spatial planning for green infrastructures in Sweden
  • 2022
  • In: Geografiska Notiser. - : Geografilärarnas Riksförening. - 0016-724X. ; 80:1, s. 16-35
  • Journal article (other academic/artistic)abstract
    • The term green infrastructure captures the need to conserve biodiversity and to sustain landscapes’ different ecosystem services. Maintaining green infrastructures through protected areas, management and landscape restoration requires knowledge in geography, spatial data about biophysical, anthropogenic and immaterial values, spatial comprehensive planning, and thus geographical information systems (GIS). To understand land use planning practices and planning education regarding GIS in Sweden we interviewed 43 planners and reviewed 20 planning education programmes. All planners used GIS to look at data but did not carry out spatial analyses of land covers. BSc programmes included more GIS than MSc programmes but very few taught analyses for spatial planning. As key spatial planning actors, municipalities’ barriers and bridges for improved GIS use for collaborative learning about green infrastructures are discussed. A concluding section presents examples of how GIS can support spatial planning for green infrastructures.
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  • Brandt, S. Anders, 1970-, et al. (author)
  • Visualising DEM-related flood-map uncertainties using a disparity-distance equation algorithm
  • 2016
  • In: IAHS-AISH Proceedings and Reports. - Göttingen : Copernicus Publications on behalf of International Association of Hydrological Sciences (IAHS). ; , s. 153-159
  • Conference paper (peer-reviewed)abstract
    • The apparent absoluteness of information presented by crisp-delineated flood boundaries can lead tomisconceptions among planners about the inherent uncertainties associated in generated flood maps. Even mapsbased on hydraulic modelling using the highest-resolution digital elevation models (DEMs), and calibrated withthe most optimal Manning’s roughness (n) coefficients, are susceptible to errors when compared to actual floodboundaries, specifically in flat areas. Therefore, the inaccuracies in inundation extents, brought about by thecharacteristics of the slope perpendicular to the flow direction of the river, have to be accounted for. Instead ofusing the typical Monte Carlo simulation and probabilistic methods for uncertainty quantification, an empiricalbaseddisparity-distance equation that considers the effects of both the DEM resolution and slope was used tocreate prediction-uncertainty zones around the resulting inundation extents of a one-dimensional (1-D) hydraulicmodel. The equation was originally derived for the Eskilstuna River where flood maps, based on DEM dataof different resolutions, were evaluated for the slope-disparity relationship. To assess whether the equation isapplicable to another river with different characteristics, modelled inundation extents from the Testebo Riverwere utilised and tested with the equation. By using the cross-sectional locations, water surface elevations, andDEM, uncertainty zones around the original inundation boundary line can be produced for different confidences.The results show that (1) the proposed method is useful both for estimating and directly visualising modelinaccuracies caused by the combined effects of slope and DEM resolution, and (2) the DEM-related uncertaintiesalone do not account for the total inaccuracy of the derived flood map. Decision-makers can apply it to alreadyexisting flood maps, thereby recapitulating and re-analysing the inundation boundaries and the areas that areuncertain. Hence, more comprehensive flood information can be provided when determining locations whereextra precautions are needed. Yet, when applied, users must also be aware that there are other factors that caninfluence the extent of the delineated flood boundary.
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