Sökresultat

Dataharmonisering är en förutsättning för smarta städer, för ett mer effektivt informationsflöde i samhällsbyggnadsprocessen och för många andra tillämpningar i en stadsmiljö. Vid ett bästa tänkbart scenario kommer dataharmonisering att resultera i ett digitalt informationsflöde som inkluderar information från ett objekts hela livscykel, till exempel för byggnader, vägar och tunnlar. Alla aktörer Data harmonisation is a prerequisite for smart cities, for a more efficient information flow in the planning and building process and for many applications in the urban environment. Ideally, data harmonisation will result in a digital information flow that include information from the whole lifecycle of a feature, for example for buildings, roads and tunnels. All actors and applications involved i

Large-scale photovoltaic solar farms envisioned over the Sahara desert can meet the world's energy demand while increasing regional rainfall and vegetation cover. However, adverse remote effects resulting from atmospheric teleconnections could offset such regional benefits. We use state-of-the-art Earth-system model simulations to evaluate the global impacts of Sahara solar farms. Our results indi

Field-based thermal infrared cameras provide surface temperature information at very high spatial and temporal resolution and could complement existing phenological camera and spectral sensor networks. Since temperature is one of the main drivers of ecosystem respiration (ER), field-based thermal cameras offer a new opportunity to model and upscale ER in unprecedented detail. We present such an ap

Requirements on radiating structures are constantly increasing, demand for faster speed, smaller size, and higher reliability drives today's technical development. However, for electrically small structures, less than half-a-wavelength in size, performance is fundamentally limited by physical size. This thesis explores how to construct and calculate physical bounds for advanced antennas and comple

This work presented the working scheme developed and used in order to conduct multiple daylight simulations for distinct rooms in a wide range of apartment buildings within the urban grid. The objective was to generate 3D models of the rooms under study and their urban surroundings, and to obtain the corresponding illuminance files and geometry information in a time-efficient, automated manner. Th

Background and purpose — Patients having a total knee arthroplasty (TKA) after a previous high tibial osteotomy (HTO) constitute a minor group among those undergoing primary TKA for knee osteoarthritis (OA). There have been few reports on whether such patients differ pre- and postoperatively from those who undergo TKA as the first measure. We evaluated patient characteristics, knee-related pain, f

Understanding the transition of biosphere‐atmosphere carbon exchange between glacial and interglacial climates can constrain uncertainties in its future projections. Using an individual‐based dynamic vegetation model, we simulate vegetation distribution and terrestrial carbon cycling in past cold and warm climates and elucidate the forcing effects of temperature, precipitation, atmospheric CO2 con

Across the Arctic, the net ecosystem carbon (C) balance of tundra ecosystems is highly uncertain due to substantial temporal variability of C fluxes and to landscape heterogeneity. We modeled both carbon dioxide (CO2) and methane (CH4) fluxes for the dominant land cover types in a ~100-km2 sub-Arctic tundra region in northeast European Russia for the period of 2006–2015 using process-based biogeoc

Recent accelerated warming over the Arctic coincides with sea ice reduction and shifting patterns of land cover. We use a state-of-the-art regional Earth system model, RCAO-GUESS, which comprises a dynamic vegetation model (LPJ-GUESS), a regional atmosphere model (RCA), and an ocean sea ice model (RCO), to explore the dynamic coupling between vegetation and sea ice during 1989–2011. Our results sh

Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. Atmospheric emissions and concentrations of CH4 continue to increase, making CH4 the second most important human-influenced greenhouse gas in terms of climate forcing, after carbon dioxide (CO2). The relative importance of CH4 compared to CO2 depends on its shorte

Associate professor Contact details Email: niklas [dot] altermark [at] svet [dot] lu [dot] seOrganisation Department of Political Science Service point: 31 WebpageNiklas Altermarks profile in Lund University research portalOther affiliations Profile area member LU Profile Area: Human rights Senior lecturer Department of Political ScienceNiklas Altermark is an associate professor at the Department

https://www.svet.lu.se/en/niklas-altermark - 2026-06-24

The 8.2 ka bp cooling event is assumed to be the most clearly marked abrupt climate event in the Holocene at northern mid- to high latitudes. In this study, we simulate the vegetation responses to the 8.2 ka bp climate change event over Europe and Northern Africa. Our results show that all dominant plant functional types (PFTs) over Europe and North Africa respond to these climate changes, but the

The purpose of this study was to establish an experimental setting and an anesthetic method compatible with future sequential studies using (18)F-FDG-PET single scans, i.e. autoradiographic measurements, for the estimation of metabolic rate of glucose (MRglc) in mice. In this study we had no access to a small animal PET scanner and therefore focus was on the anesthetic setting and optimization of

PURPOSE: Evaluate the effects of radiotherapy after sector resection for ductal carcinoma in situ of the breast (DCIS) in patient groups as defined by age, size of the lesion, focality, completeness of excision and mode of detection. PATIENTS AND METHODS: A total of 1,067 women in Sweden were randomly assigned to either postoperative radiotherapy (RT) or control from 1987 to 1999, and 1,046 were f

The number of individuals suffering from neuropsychiatric disorders (NPDs) has increased worldwide, with 3 million disability-adjusted life-years calculated in 2019. Though research using various approaches including genetics, imaging, clinical and animal models has advanced our knowledge regarding NPDs, we still lack basic knowledge regarding the underlying pathophysiological mechanisms. Moreover

Nitrous oxide (N2O) is the most important stratospheric ozone-depleting agent based on current emissions and the third largest contributor to increased net radiative forcing. Increases in atmospheric N2O have been attributed primarily to enhanced soil N2O emissions. Critically, contributions from soils in the Northern High Latitudes (NHL, >50°N) remain poorly quantified despite their exposure to r

Forestation is expected to play an significant role as a terrestrial carbon dioxide removal technology in low-emission scenarios by storing carbon in the biosphere, thereby changing the physical properties of the land surface. To represent land use change, including afforestation and reforestation (AR), Earth system models (ESM) that contribute to the Coupled Model Intercomparison Project Phase 6

Despite the increasing recognition of the critical role that nature-based solutions (NBS) play in urban resilience, decision-makers in many cities across the Global South continue to prioritize grey infrastructure and engineered solutions. This prevailing approach may offer short-term economic advantages but ultimately falls short in ensuring the long-term sustainability and resilience of communit

Nitrogen (N) transformation processes by soil microbes account for significant nitrous oxide (N2O) emissions from natural ecosystems and cropland. However, understanding and quantifying global soil N2O emissions and their responses to changing environmental conditions remain challenging. Here, we implemented a soil nitrification–denitrification module into the dynamic vegetation model LPJ-GUESS to

Meeting the Paris Agreement’s temperature goals requires limiting future carbon emissions, yet current policies make temporarily overshooting the 1.5°C target likely. The potential climate feedback from destabilizing peatlands, storing large amounts of carbon, remains poorly quantified. Using the reduced-complexity Earth System Model OSCAR with an integrated peat carbon module, we found that acros