Fler vegetationsbränder förväntas framöver i Sverige som följd av temperaturökning och förändrat nederbördsmönster. För att distribuera resurser effektivt vid ett släckningsarbete i vegetation kan information som tillgänglighet och brandbenägenhet vara önskvärt. Riskområden för personsäkerhet i samband med släckningsarbete bör granskas för att undvika onödiga risker. Syftet med studien var att undersöka hur brandbenägenhet, tillgänglighet och personskaderisk varierade geografiskt inom Arvika kommun. Med rasteranalys och weighted overlay beräknades brandbenägenhet med faktorerna: krontäthet, lutning, lutningsriktning, skogens utvecklingsfas och vegetation. Tillgängligheten beräknades med följande faktorer: avstånd till väg, avstånd till vatten, körtid, lutning, skogens utvecklingsfas och vegetation. Personskaderisken beräknades enligt följande faktorer: elektrifierad järnväg, förorenade områden, kraftledning, lutning och militära områden. Analysen visar att brandbenägenheten är mycket hög i ett fåtal områden, den största delen av studieområdet har brandbenägenhet mellan värde 4,1–6 av 10. Tillgängligheten är hög eller mycket hög i 98 % av studieområdet. Den lägsta tillgängligheten finns i studieområdets norra och södra delar. 92 % av studieområdet har en låg eller mycket låg personskaderisk med värde mellan 1–4 av 10. Brandbenägenhet, tillgänglighet och personskaderisk studerades på platser där bränder rapporterats åren 2008–2019. Bränder mellan år 2008–2017 med avbränd areal större än 1 hektar studerades igen. Den största faktorn för brandbenägenheten är lutningsriktning för dessa platser. Tillgänglighetens viktigaste faktorer är avstånd till väg och vegetation. Personskaderiskens största faktor är förorenade områden där bränderna var rapporterade. Brandbenägenheten inom studieområdet var störst vid lutning mot syd eller sydväst. Plana områden har generellt låg brandbenägenhet. Enligt analysen är tillgängligheten lägst i studieområdets yttre delar, speciellt dem sydligaste och nordligaste delarna. Områden i närhet av brandstationer har generellt en bättre tillgänglighet. Personskaderisken är koncentrerad till elektrifierad järnväg och kraftledning som medför direkt fara. Potentiellt förorenade områden finns spridda i hela studieområdet. Hur dessa påverkar människor är ovisst och varierar beroende på förorening. / In the future, more wildfires are expected in Sweden because of increasing temperature and changing precipitation. To being able to effectively distribute the resources of the firefighters, information about accessibility and fire tendency can come in handy. In order to avoid unnecessary risks, areas with potential hazard for the firefighters should be examined. The purpose of this study is to analyse how fire tendency, accessibility and personal injury risk varies in Arvika municipality, Sweden. Raster analysis and weighted overlay were applied in this study to examine fire tendency using the factors: crown closure, slope, aspect, the stage of stand development and vegetation. Accessibility was calculated including the following factors: distance to roads, distance to water, driving time, slope, the stage of stand development and vegetation. The personal injury risk was calculated by the following factors: electrified railways, polluted areas, power lines, slopes and military areas. The results show a high fire tendency in a few areas. Most of the areas have a fire tendency value between 4. 1–6 out of 10. Areas with a good or very good accessibility covers 98 % of the study area. Only a few spots have a very low accessibility. Areas with a low or very low personal injury risk covers 92 % of the study area. In the next part sites, with wildfires reported too MSB between 2008–2019 were studied. Wildfires larger than 10 000 square meters were studied again. Aspect was considered as a factor with a high impact on fire tendency. The major factor of the accessibility is distance to the road and the vegetation of those places. Polluted areas have the largest risk for extinguishing the fire in those places. Fire tendency shows its peaks in areas with slopes and aspect to the south or southwest thanks to the results. Flat areas receive a low risk of fire tendency. Accessibility is lowest in the outer parts of the study area, especially the southern and northern parts. Areas with risks for firefighter injury are concentrated to electrified railways and power lines, especially those that cross polluted areas. However, not all the polluted areas have been investigated in this study, therefore the effect of the pollution on the people’s health is uncertain.

Due to growing population over the past decades, settlements are scattered in sparse as well as dense clusters across Dalarna County. However, irrespective of any physical, social or economic conditions, free public health care must be available at a minimum and equal distance of travel for all citizens of a region. In the current scenario in Dalarna, around 16% of the population travels beyond 10 km to reach their nearest medical facility. The aim of this study is to suggest the most favorable locations for Mobile Hospital services across Dalarna County, based on spatial analysis of accessibility, population coverage, and importantly, in a way that travel distance, is minimized and equal for all. This study makes use of Multi Criteria Analysis methods. The problem of mobile hospital site selection is broken down into criteria, and Analytic Hierarchical Process is used to evaluate weights for each criterion. Then, a weighted overlay results in regions with score-based suitability for a mobile hospital. Maximum population coverage based Location Allocation analysis results in generating a proposed Facility and Demand Coverage output. The results show an increase in coverage of population, while meeting the requirements of criteria in the aim.

Mitigation: Mechanics, Monitoring, Modeling, and Assessment - Proceedings of the 7th International Conference on Debris-Flow Hazards Mitigation. All rights reserved. Debris-slides are a frequent hazard in fragile decomposed metasedimentary rocks in the Anakeesta rock formation in Great Smoky Mountain National Park. The spatial distribution of an existing debris-slide area could be used to prepare susceptibility map for future debris-slide initiation zones. This work aims to create a debris-slide susceptibility map by using a knowledge-driven method in a GIS platform in Anakeesta formation of Great Smoky Mountain National Park. Six geofactors, namely, elevation, annual rainfall, slope curvature, landcover, soil texture and various slope failure modes were used to create the susceptibility map. Debris-slide locations were mapped from the satellite imagery, previous studies, and field visits. A Weighted Overlay Analysis was performed in order to generate the final susceptibility map, where individual classes of geofactors were ranked and were assigned weights based on their influence on debris-slide. The final susceptibility map was classified into five categories: very low, low, moderate, high and very high susceptible zones. Validation of the result shows very high category predicted ~10%, high and moderate categories predicted 75.5% and ~14.5% of the existing debris-slide pixels respectively. This study successfully depicts the advantage and usefulness of the knowledge-driven method, which can save considerable amount of time and reduce complicated data analysis unlike statistical or physical based methods. However, the accuracy of the model highly depends on the researcher’s experience of the area and selection of respective geofactors.

Debris-slides are fast-moving landslides that occur in the Appalachian region including the Great Smoky Mountains National Park (GRSM). Various knowledge and data-driven approaches using spatial distribution of the past slides and associated factors could be used to estimate the region’s debris-slide susceptibility. This study developed two debris-slide susceptibility models for GRSM using knowledge-driven and data-driven methods in GIS. Six debris-slide causing factors (slope curvature, elevation, soil texture, land cover, annual rainfall, and bedrock discontinuity), and 256 known debris-slide locations were used in the analysis. Knowledge-driven weighted overlay and data-driven bivariate frequency ratio analyses were performed. Both models are helpful; however, each come with a set of advantages and disadvantages regarding degree of complexity, time-dependency, and experience of the analyst. The susceptibility maps are useful to the planners, developers, and engineers for maintaining the park’s infrastructures and delineating zones for further detailed geotechnical investigation.

Renewable energy development is breaking global records each year. European and national Swedish legislation target substantial portions of wind energy production by 2040. Sweden has ambitious objectives for wind energy, with plans to nearly triple its wind energy proportion in the next 17 years. However, expanding wind energy also requires using forest lands, which raises concerns for biodiversity and landscape fragmentation. The objective of this study is to determine the values impacted by wind energy development in the Swedish boreal forest to identify appropriate low-impact locations for the construction of Wind Turbine Generators (WTG). The study employs an Analytic Hierarchy Process (AHP) and a Weighted Overlay Analysis (WOA) to categorise potential areas for WTG deployment. Twenty-four input constraints are distributed into six categories and analysed in three stages, resulting in a suitability map and a numerical data output. The analysis conducted across six northern boreal counties indicates that significant parts of northern Sweden are unsuitable for wind energy development due to insufficient wind speeds and numerous water bodies. Cultural and botanical value areas further limit some areas' potential for wind energy development. The findings indicate that 25.85% of the northernmost six counties are viable for constructing wind energy facilities, surpassing the national target area for renewable energy by a considerable margin. The research indicates that forested boreal counties in Sweden provide significant potential for the sustainable development of wind energy, whilst preserving biodiversity and avoiding interference with faunal, societal, and cultural values.

An inventory of unstable slopes along transportation corridors and performance modeling are important components of geotechnical asset management in Great Smoky Mountains National Park (GRSM). Hazards and risk were assessed for 285 unstable slopes along 151 miles of roadway. A multi-criteria model was created to select fourteen sites for two-dimensional probabilistic rockfall simulations and Acid Base Accounting (ABA) tests. Simulations indicate that rock material would likely enter the roadway at all fourteen sites. ABA test results indicate that influence of significant acid-producing potential is generally confined to slaty rocks of the Anakeesta Formation and graphitic schist of the Wehutty Formation. The research illustrates an approach for prioritizing areas for site-specific investigations towards the goal of improving safety in GRSM. These results can help park officials develop mitigation strategies for rockfall, using strategies such as widening ditches and encapsulating acidic rockfall material.