Fluid flows occurring in moving and/or deforming environments are influenced by the transient nature of their containment. In Computational Fluid Dynamics (CFD), simulating such flow fields requires effort to maintain the geometric integrity of the transient flow domain. Convective fluxes in such domains are evaluated with respect to the motion of the boundaries of the control volume. These simulations demand conservation of space in addition to the conservation of mass, momentum and energy as the solution continues in time. The Space Conservation Law in its continuous form can be inferred by using the rules of fundamental calculus. However, implementing it in a discrete form poses substantial challenges. During mesh motion, the surfaces enclosing the control volumes sweep through three-dimensional space. As per the Space Conservation Law, the change in the control volume has to match the sum of the swept volumes of all its faces exactly. The Space Conservation Law must be satisfied accurately and consistently in order to avoid the occurrence of non-physical masses and to prevent the violation of the continuity equation. In this work we have attempted to address the consistency issues surrounding the implementation of the Space Conservation Law in OpenFOAM. The existing method for calculation of swept volumes falls short in terms of consistency. Moreover, its capabilities are limited when it comes to complex three-dimensional mesh motions. The existing method of calculation treats swept volumes as net fluxes emanating from cell faces. We have implemented an alternate algorithm in which the swept volumes are treated as intermittent virtual cells whose volumes can be calculated in a unique and consistent manner. We will conclude by validating our approach for mesh motions of varying degrees of complexity.

Increasing demand for freshwater and energy is pushing towards the development of alternative technologies that are sustainable. One of the realistic solutions to address this is utilization of the renewable resources like wastewater. Conventional wastewater treatment processes can be highly energy demanding and can fails to recover the full potential of useful resources such as energy in the wastewater. As a consequence, there is an urgent necessity for sustainable wastewater treatment technologies that could harness such resources present in wastewaters. Advanced treatment process based on microbial electrochemical technologies (METs) such as microbial fuel cells (MFCs) and microbial electrolysis cells (MECs) have a great potential for the resources recovery through a sustainable wastewater treatment process. METs rely on the abilities of microorganisms that are capable of transferring electrons extracellularly by oxidizing the organic matter in the wastewater and producing electrical current for electricity generation (MFC) or H2 and CH4 production (MEC). Propionate is an important volatile fatty acid (VFA) (24-70%) in some wastewaters and accumulation of this VFA can cause a process failure in a conventional anaerobic digestion (AD) system. To address this issue, MECs were explored as a novel, alternative wastewater treatment technology, with a focus on a better understanding of propionate oxidation in the anode of MECs. Having such knowledge could help in the development of more robust and efficient wastewater treatment systems to recover energy and produce high quality effluents. Several studies were conducted to: 1) determine the paths of electron flow in the anode of propionate fed MECs low (4.5 mM) and high (36 mM) propionate concentrations; 2) examine the effect of different set anode potentials on the electrochemical performance, propionate degradation, electron fluxes, and microbial community structure in MECs fed propionate; and 3) examine the temporal dynamics of microbial communities in MECs fed with low or high concentration of acetate or propionate relating to the reactor performance. Overall, the findings from these studies provides new knowledge on propionate oxidation in MECs. The discovery of such findings may shed light on the development of an energy positive wastewater treatment process capable of producing a high quality effluent.

CARBON AND NITROGEN POOLS AND FLUXES OF TWO FOREST ECOSYSTEMS IN THE ORE MOUNTAINS With increasing atmospheric CO2 concentrations, forest ecosystems are considered for their sequestration ability. However, there are differences between coniferous and deciduous tree species in their impact on the carbon (C) and nitrogen (N) fluxes within forest ecosystems, which influence soil carbon and nitrogen pools. In natural beech and monoculture spruce stands on research sites of Czech Geological Survey in the Ore Mountains, C and N fluxes and pools were investigated. There were investigated ecosystem inputs (C, N, in throughfall, litterfall) as well as outputs (soil respiration, concentrations of C, N in seepage water discharge). Further, C and N pools of living biomass and soils were determined. Throughfall DOC was significantly higher in the spruce stand, on the other hand litterfall C flux showed the opposite relationship. At output, DOC, DON and NH4 + discharge fluxes from O horizon were significantly higher in the spruce stand whereas in the beech stand higher NO3 - flux from mineral soil was recorded. Soil respiration was quite similar in the both stands, however different parts of original sources of respiration among tree species were different. Beech stand has larger pools of carbon and nitrogen in...

We present the supersymmetry and localization of an N=2 theory on S3b along with that of an N=(2,2) theory on S2. Performing the dimensional reduction of the theory on S3b produces a theory on S2 with no flux-sectors. A re-evaluated version of twisted reduction is applied on the level of the S3b partition function, arguing for a splitting of the partition function into pieces. The splitting produces flux-like sectors correspondent to the S2 theory but holds the potential for superfluous sectors. An argument interpreting these sectors as true flux is given and utilized to remove superfluous sectors due to topological restrictions on S2. The final result is a method which gives a bijective mapping ZS3b to ZS2 . / Vi utför konstruktionen av två supersymmetriska teorier på en deformerad 3-sfär samt en 2-sfär. Den utökade symmetrin tillåter oss att använda en lokaliseringsmetod för att reducera partitionsfunktionerna till ändligt-dimensionella integraler. På 2-sfären finner vi diskreta konfigurationer vars tolkning vi vill finna i konstruktionen på 3-sfären. Vi utför en dimensionell reduktion ifrån 3-sfären till 2-sfären och finner en ekvivalens som saknar dessa konfigurationer. Som substitut presenteras en metod där integralen delas upp i delar som kan tolkas att vara ekvivalenta med de avsaknade diskreta konfigurationerna. Slutligen framförs ett argument för vilka delar av integralen som kan existera på 2-sfären och resterande delar avfärdas. Resultatet är en exakt avbilding mellan partitionsfunktionerna.

The meridional temperature gradient between middle and high latitudes is decreasing due to Arctic amplification, which enhances the warming in the Arctic region. This change in temperature is also influencing the circulation and the horizontal energy fluxes between the mid latitudes and the Arctic, which itself might influence the Arctic additionally. The horizontal energy flux, to our best knowledge, has never been analyzed using the up-to-date method called self-organizing map (SOM). The SOM is a simple unsupervised neural network that is used to extract patterns of high-dimensional data and presents the patterns in a two dimensional lattice, where similar (more different) patterns are closer together (farther apart) within the lattice. An advantage of using the SOM is that there are no underlying linear assumptions like in other methods that characterize the circulation, such as the Arctic Oscillation or the North Atlantic Oscillation index. The SOM has been used in this work to extract and analyze horizontal heat flux patterns from reanalysis data and climate model data. Using the SOM method, it was possible to find distinct horizontal heat flux patterns into the Arctic, that have been combined into heat flux pathways. The SOM made it possible to characterize the pathways' change in occurrence frequency throughout the last thirty years and the change between present-day climate model simulations and climate projections with increased greenhouse gas concentrations. Using reanalysis data, three distinct patterns have been extracted, which all show different features. They are named according to the main pathway the horizontal heat flux takes to reach the Arctic: the Atlantic pathway, the Pacific pathway, and the continental pathway. For the reanalysis data, it is shown that the Atlantic pathway, which is connected with positive temperature anomalies in the central Arctic, has become more frequent during the last three decades, while the Pacific pathway, that is connected to negative temperature anomalies around Svalbard, has become less frequent. This suggests that the circulation, which is connected to the temperature in the Arctic, is changing. The trends for the occurrence frequencies of the SOM horizontal heat flux pathways have, to our best knowledge, never been analyzed prior to this work. With respect to climate model results, the three distinct patterns were also identified in climate simulations of the second half of the twentieth century and climate projections of the second half of the twenty-first century from eight models. This demonstrates that these three pathways are an inherent part of the atmosphere. In comparison with the reanalysis data, the climate models show much stronger occurrence frequencies for the continental pathway. The reanalysis data of the continental pathway does not show such high occurrence frequencies. However, the multi model mean shows a clear decrease in these occurrence frequencies of the continental pathway between the present-day climate simulation and the climate projection with increased greenhouse gas concentrations. The continental pathway is mostly connected to strong zonal fluxes while there are only small meridional transports over Siberia or North America. This suggests that the fluxes become more meridional with an enhanced warming and thus increase the heat flux into the Arctic, which might influence the surface air temperature.:Bibliographische Beschreibung Bibliographic Description Acronyms 1. Introduction: Arctic Amplification, Circulation and Transport 1.1. Arctic Amplification 1.2. The (AC)3 project 1.3. Overview of General Circulation in Mid and High Latitudes 1.3.1. Drivers of the general circulation 1.3.2. Circulation impacts on high and mid latitudes 1.3.3. Atmospheric energy transport into the Arctic 1.4. Overview of the Thesis 2. The Self-organizing Map 2.1. Mathematical Description 2.2. SOM Parameters and their Effect on Clustering Meteorological Data 2.2.1. Map size 2.2.2. Neighborhood function 2.2.3. Iterations 2.2.4. Learning rate 2.2.5. Summary of the effect of learning parameters 2.3. Limits of SOM 2.4. Application of SOM in Atmospheric Sciences 2.5. Comparison with the K-Means Clustering Algorithm 2.6. A Practical Guide to SOM 3. Clustering of Atmospheric Energy Transport within ERA-Interim 3.1. Data and Method 3.1.1. ERA-Interim data 3.1.2. Analysis method 3.2. Results 3.2.1. Heat transport SOM 3.2.2. Temperature anomaly composites related to transport pathways 3.2.3. Mean meridional heat transport 3.2.4. Trend of transport pathways 3.2.5. Two-meter temperature trends 3.3. Discussion 3.4. Summary of ERA-Interim Analysis 4. Comparison of Flux Pathways in CMIP5 Model Analysis 4.1. Methods and Data 4.1.1. CMIP5 model data 4.1.2. Analysis using the SOM method 4.2. Results 4.2.1. Historical patterns 4.2.2. RCP8.5 patterns 4.2.3. Mean pathway occurrence frequencies 4.2.4. Pathway occurrence frequency trends during the historical and future time intervals 4.3. Discussion of CMIP5 Analysis 5. Summary and Conclusion of the Horizontal Energy Flux SOM Analysis References A. Appendix: ERA-Interim Self-Organizing Map Analysis B. Appendix: CMIP5 Self-Organizing Map Results Acknowledgments Curriculum Vitae Affirmation / Der meridionale Temperaturgradient zwischen mittleren und hohen Breiten nimmt aufgrund der arktischen Verstärkung ab. Diese Temperaturänderung beeinflusst auch die Zirkulation und die horizontalen Energieflüsse zwischen den mittleren Breiten und der Arktis, was die Arktis selbst zusätzlich beeinflussen könnte. Der horizontale Energietransport wurde, unserem bestem Wissen nach, nie mit der aktuellen Methode namens Self-Organizing Map (SOM) analysiert. Die SOM ist ein einfaches unüberwachtes neuronales Netzwerk, das zum Extrahieren von Mustern hoch dimensionaler Daten verwendet wird und die Muster in einem zweidimensionalen Gitter darstellt, in dem ähnliche (unterschiedliche) Muster innerhalb des Gitters näher beieinander (weiter voneinander entfernt) liegen. Ein Vorteil der SOM besteht darin, dass keine linearen Annahmen wie bei anderen Methoden vorliegen, die die Zirkulation charakterisieren, wie z. B. die Arktische Oszillation oder der Nordatlantische Oszillationsindex. Die SOM wurde im Rahmen dieser Arbeit verwendet, um horizontale Wärmetransportmuster aus Reanalysedaten und Klimamodelldaten zu extrahieren und zu analysieren. Mit der SOM-Methode konnten unterschiedliche horizontale Muster des Wärmetransports in die Arktis identifiziert werden, welche wiederum zu Pfaden zusammengefasst wurden. Die SOM ermöglichte es, die Veränderung der Auftrittshäufigkeit der Pfade in den letzten dreißig Jahren und die Veränderung der Muster zwischen einer Simulation des heutigen Zustandes und einer Klimaprojektion mit erhöhten Treibhausgaskonzentrationen zu charakterisieren. Unter Verwendung von Reanalysedaten konnten drei unterschiedliche Pfade extrahiert werden, die alle unterschiedliche Merkmale aufweisen. Sie wurden nach dem jeweiligen Hauptpfad benannt, den der horizontale Wärmetransport vollzieht, um in die Arktis zu gelangen: der Atlantikpfad, der Pazifikpfad und der Kontinentalpfad. Für die Reanalysedaten konnte gezeigt werden, dass die Auftretenshäufigkeit des Atlantikpfads, der mit positiven Temperaturanomalien in der Zentralarktis verbunden ist, in den letzten drei Jahrzehnten gestiegen ist. Demgegenüber ist die Auftretenshäufigkeit des pazifischen Pfads, der mit negativen Temperaturanomalien um Spitzbergen verbunden ist, in den letzten drei Jahrzehnten gesunken. Dies deutet darauf hin, dass sich die Zirkulation, die mit der Temperatur in der Arktis verbunden ist, ändert. Die Trends für die Auftrittshäufigkeiten der horizontalen SOM-Wärmetransportpfade wurden, nach bestem Wissen, vor dieser Arbeit noch nie analysiert. Auswertungen basierend auf acht Klimamodellen haben die drei unterschiedlichen Muster sowohl in Klimasimulationen für die zweite Hälfte des zwanzigsten Jahrhunderts, als auch in Klimaprojektionen der zweiten Hälfte des einundzwanzigsten Jahrhunderts gefunden. Dies zeigt, dass diese drei Pfade der Atmosphäre inhärent sind. Im Vergleich zu den Reanalysedaten zeigen die Klimamodelle viel stärkere Auftrittshäufigkeiten für den Kontinentalpfad. Die Reanalysedaten des Kontinentalpfads weisen keine hohen Auftrittshäufigkeiten auf. Der Multi-Modell-Mittelwert zeigt jedoch eine deutliche Abnahme dieser Auftrittshäufigkeiten des Kontinentalpfads zwischen der Simulation des heutigen Zustands und der Projektion mit erhöhten Treibhausgaskonzentrationen. Der Kontinentalpfad ist meist mit starken zonalen Transporten verbunden, während nur kleine meridionale Transporte über Sibirien oder Nordamerika erfolgen. Dies deutet darauf hin, dass mit zunehmender Erwärmung die Flüsse meridionaler werden sowie den Wärmetransport in die Arktis erhöhen und somit die Lufttemperatur in Bodennähe beeinflussen können.:Bibliographische Beschreibung Bibliographic Description Acronyms 1. Introduction: Arctic Amplification, Circulation and Transport 1.1. Arctic Amplification 1.2. The (AC)3 project 1.3. Overview of General Circulation in Mid and High Latitudes 1.3.1. Drivers of the general circulation 1.3.2. Circulation impacts on high and mid latitudes 1.3.3. Atmospheric energy transport into the Arctic 1.4. Overview of the Thesis 2. The Self-organizing Map 2.1. Mathematical Description 2.2. SOM Parameters and their Effect on Clustering Meteorological Data 2.2.1. Map size 2.2.2. Neighborhood function 2.2.3. Iterations 2.2.4. Learning rate 2.2.5. Summary of the effect of learning parameters 2.3. Limits of SOM 2.4. Application of SOM in Atmospheric Sciences 2.5. Comparison with the K-Means Clustering Algorithm 2.6. A Practical Guide to SOM 3. Clustering of Atmospheric Energy Transport within ERA-Interim 3.1. Data and Method 3.1.1. ERA-Interim data 3.1.2. Analysis method 3.2. Results 3.2.1. Heat transport SOM 3.2.2. Temperature anomaly composites related to transport pathways 3.2.3. Mean meridional heat transport 3.2.4. Trend of transport pathways 3.2.5. Two-meter temperature trends 3.3. Discussion 3.4. Summary of ERA-Interim Analysis 4. Comparison of Flux Pathways in CMIP5 Model Analysis 4.1. Methods and Data 4.1.1. CMIP5 model data 4.1.2. Analysis using the SOM method 4.2. Results 4.2.1. Historical patterns 4.2.2. RCP8.5 patterns 4.2.3. Mean pathway occurrence frequencies 4.2.4. Pathway occurrence frequency trends during the historical and future time intervals 4.3. Discussion of CMIP5 Analysis 5. Summary and Conclusion of the Horizontal Energy Flux SOM Analysis References A. Appendix: ERA-Interim Self-Organizing Map Analysis B. Appendix: CMIP5 Self-Organizing Map Results Acknowledgments Curriculum Vitae Affirmation

Chloroquine (CQ) and hydroxychloroquine (HCQ) have been proposed as treatments for COVID-19. These drugs have been studied for many decades, primarily in the context of their use as antimalarials, where they induce oxidative stress-killing of the malarial parasite. Less appreciated, however, is evidence showing that CQ/HCQ causes systemic oxidative stress. In vitro and observational data suggest that CQ/HCQ can be repurposed as potential antiviral medications. This review focuses on the potential health concerns of CQ/HCQ induced by oxidative stress, particularly in the hyperinflammatory stage of COVID-19 disease. The pathophysiological role of oxidative stress in acute respiratory distress syndrome (ARDS) has been well-documented. Additional oxidative stress caused by CQ/HCQ during ARDS could be problematic. In vitro data showing that CQ forms a complex with free-heme that promotes lipid peroxidation of phospholipid bilayers are also relevant to COVID-19. Free-heme induced oxidative stress is implicated as a systemic activator of coagulation, which is increasingly recognized as a contributor to COVID-19 morbidity. This review will also provide a brief overview of CQ/HCQ pharmacology with an emphasis on how these drugs alter proton fluxes in subcellular organelles. CQ/HCQ-induced alterations in proton fluxes influence the type and chemical reactivity of reactive oxygen species (ROS).

The Carbon dioxide (CO2) concentration in the atmosphere has increased dramatically since the start of the industrialisation. The effects that the increase of CO2 has on the future climate are still not fully investigated. CO2 in the atmosphere contributes to the, for all life on earth, necessary greenhouse effect. It is confirmed that higher CO2 concentration in the atmosphere increases the green house effect, which results in higher temperature. The main source to the increase of CO2 is burning of fossil fuels. The change in land use is also a contribution to the increase of the CO2 concentration in the atmosphere. The largest sinks of CO2 are organic consumption and oceanic uptake. The organic consumption of CO2 varies a lot at higher latitudes due to the difference in vegetation between the seasons. During the warmer seasons the consumption of CO2 is large and during the winters the consumptions of CO2 is practically zero. The ocean uptake of CO2 varies also a lot during the year because the CO2 dissolves more easily in cold water. The purpose of this study is to analyse CO2 concentration and air-sea fluxes of CO2 measured at Östergarnsholm, a small flat island east of Gotland in the Baltic Sea, and compare the results to previous studies. The CO2 concentration data was collected between 1997 – 1999 and 2001 – 2003. The CO2 flux data was collected between 2001 and 2003. The analysis of the CO2 concentration showed that for the period 1997 to 1999, the CO2 concentration at Östergarnsholm was lower than for the reference series from a Polish site in the Baltic Sea. A correction was made by adding 27 ppm to the Östergarnsholm series. The annual fluctuations of CO2 concentration at Östergarnsholm are significant (about 40 ppm). During the summer 1998, the expected decrease was not as large as it should be because of the El Niño outbreak 97/98 and the locally cold and rainy summer. The direct measured CO2 fluxes were corrected with the well known Webb correction before they were analysed. The CO2 fluxes are wind dependant – higher wind speed give higher CO2 flux. The CO2 fluxes are also dependant of the difference in partial pressure between the air and the water. Parameterised CO2fluxes were calculated and compared to the direct measured CO2 fluxes. The parameterisations use a quadratic as well as a cubic wind dependency. To calculate the parameterised CO2 fluxes, a fixed value of the difference in partial pressure between the air and the water was used because the CO2 in the water was not measured. The parameterised CO2 fluxes wind dependency agreed with the direct measured CO2 fluxes. / Koldioxid(CO2)-koncentrationen i atmosfären har ökat stadigt sen början av industrialiseringen. Effekten som de ökade CO2-halterna kommer ha på framtidens klimat är ännu inte helt utrett. CO2 bidrar till den livsviktiga växthuseffekten. Det är en ökning av växthusgaser, bland annat CO2, som leder till en ökning av växthuseffekten. Ökad växthuseffekt leder till högre temperatur på jorden. Den största ökningen av CO2 i atmosfären beror på förbränning av fossila bränslen. Även förändringen i markanvändning leder till ökade halter av CO2. De största sänkorna av CO2 är den organiska konsumtionen av CO2 och havens upptag av CO2. Den organiska konsumtionen av CO2 varierar mycket under året och är som störst under de varmare månaderna. Havens upptag av CO2 varierar också mycket under året eftersom havens förmåga att lösa CO2 beror på vattnets temperatur. Syftet med den här studien är att analysera CO2-koncentrationen och CO2-flödena mellan hav och luft på Östergarnsholm, en liten, låg ö öster om Gotland. Resultaten jämförs med tidigare studier. CO2-koncentrationsdata samlades in mellan 1997 – 1999 och 2001 – 2003. CO2-flödesdata samlades in mellan 2001 och 2003. Analysen av CO2-koncentrationen visar att under perioden 1997 till 1999 är CO2- halterna för låga på Östergarnsholm. En korrektion gjordes genom att lägga till 27 ppm till de uppmätta CO2-halterna. Årsvariationerna av CO2-halterna är mycket tydliga men sommaren 1998 sjunker inte CO2-halten till så låga värden som de borde vara. Att CO2-halterna inte sjönk mer beror dels på El Niño-utbrottet 97/98 och dels på den lokalt kalla och regniga sommaren. De direkt mätta CO2-flödena korrigerades med hjälp av den välkända Webbkorrektionen innan de analyserades. CO2-flödena är beroende av vindhastigheten – högre vindhastighet ger högre CO2-flöden. CO2-flödena beror också på skillnaden i CO2-halt mellan luften och havet. Parameteriserade CO2-flöden beräknades och jämfördes med de direkt mätta CO2-flödena. De parameteriserade CO2-flödena beräknas antingen med kvadratiskt eller kubiskt vindberoende. För att beräkna parameteriserade CO2-flöden användes ett fast värde på skillnaden i CO2-halt mellan luften och vattnet eftersom CO2-halten i vattnet inte mäts. De parameteriserade CO2- flödenas vindberoende stämde överrens med de direkt mätta CO2-flödena.

In this study data from the regional climate model RCA1 is compared to measured data to investigate how good the model is during ice conditions and mainly how well the turbulent surface fluxes are described by the model. Comparisons of the sensible heat flux and the momentum flux as well as mean parameters are included. The measured data used are from the Bothnian Bay measured during the BASIS field experiment in February to March 1998. RCA1 (Rossby Centre regional Atmospheric model) is a regional climate model for Northern Europe based on HIRLAM and forced by ERA-40 data. Two different grid points of the RCA1 44 km grid have been chosen with geographical coordinates as close as possible to the two measuring sites. The first site is a small peninsula south of the town Umeå at the east coast of Sweden and the second one is the ship R/V Aranda anchored in the sea ice outside the Finnish west coast. The model presents generally too large negative (downward) sensible heat fluxes and too large momentum fluxes over ice. The largest difference between modelled and measured sensible heat fluxes are seen after warm front passages due to melting conditions. There are some uncertainties in the comparison of modelled fluxes and measured fluxes at Umeå due to a complex and varying ice cover around this measuring site. The vertical structure in the atmosphere has also been studied and modelled temperature, wind and humidity profiles were compared to radiosondes at the Umeå site. Two periods with on-ice flow and off-ice flow was analysed and one of the main differences was that for the on-ice situation an internal boundary layer was built up over the ice. Modelled profiles are generally smoother then measured profiles and inversions and other small-scale phenomena like low-level jets are almost never described correctly by the model but there are tendencies of the phenomena to occur. / Sammanfattning av ”En undersökning i hur bra den regionala klimatmodellen RCA1 beskriver olika parametrar över is, i huvudsak de turbulenta flödena”. I denna undersökning har den regionala klimatmodellen RCA1 jämförts med mätdata för att se hur bra modellen är över is och framförallt hur bra den beskriver de turbulenta flödena över is. RCA1 är en regional klimatmodell för norra Europa baserad på HIRLAM och som drivs av ERA-40 data. Modelldata har jämförts med mätdata från två platser i Bottenviken, en liten halvö utanför Umeå på den svenska östkusten och forskningsfartyget Aranda som var fastankrad i havsisen utanför Finlands västkust. Mätningarna gjordes under BASIS fältexperiment i februari till mars 1998. Modellen ger generellt för stora negativa (nedåtriktade) sensibla värmeflöden över is och likaså för stora impulsflöden över is. Den största skillnaden mellan modellvärden och mätningar förekom efter det att varmfronter passerat och detta beror delvis på smältförhållanden. I jämförelsen av de turbulenta flödena beräknade av RCA och de uppmäta turbulenta flödena från Umeå finns det vissa osäkerheter pga. den komplicerade issituationen runt denna mätplats med mycket varierande isförhållanden. Den vertikala strukturen i atmosfären har också undersökts och temperatur, vind och fuktighetsprofiler har jämförts. Två perioder varav en där det blåste från havet mot isen (on-ice) och en där det blåste från isen mot havet (off-ice) valdes ut och en av skillnaderna var att det bildades ett internt gränsskikt över isen i on-ice perioden. Modellen har en tendens att släta ut profilerna och småskaliga fenomen som inversionsskikt, inversionshöjder och low-level jets är nästan aldrig korrekt beskrivna i modellen men det finns tendenser till inversioner och vindmaximum.

This study is part of a larger collaborative effort to determine the overall environmental sustainability of intercropping pine (Pinus taeda L.) and switchgrass (Panicum virgatum L.), both of which are promising feedstock for bioenergy production in the Lower Coastal Plain in North Carolina. We measured soil CO₂ efflux (RS) every six weeks from January 2012 to March 2013 in four-year-old monoculture and intercropped stands of loblolly pine and switchgrass. RS is primarily the result of root respiration (RA) and microbial decomposition of organic matter (RH) releasing CO₂ as a by-product and is an important and large part of the global carbon (C) cycle. Accurate estimates of the two components of total soil respiration (RS) are required as they are functionally different processes and vary greatly spatially and temporally with species composition, temperature, moisture, productivity, and management activities. We quantified RA and RH components of RS by using a root exclusion core technique based on root carbohydrate depletion, which eliminates RA within the cores over time. We determined the relationship between RS, RA and RH measurements and roots collected from the cores. We took fresh soil cores in July 2012 to compare root productivity of loblolly pine and switchgrass in monoculture versus the co-culture. Additionally, CH₄ and N₂O fluxes were monitored quarterly using vented static chambers. Pure switchgrass had significantly higher RS rates (July, August, September), root biomass and root length in the top 0-35 cm relative to switchgrass in the co-culture, while loblolly pine with and without switchgrass had no significant changes in RS and roots. Correlations between RA and roots showed significantly positive correlation of RA to grass root biomass (r = 0.37, p ≤ 0.001), fine (r = 0.26, p ≤ 0.05) and medium root surface area (r = 0.20, p ≤ 0.1). The estimated portions of RS attributed to RA in the intercrop stand were 31% and 22% in the summer and fall, respectively. No significant treatment differences were observed in either CH₄ or N₂O flux. Our study indicates a decrease in switchgrass root productivity in the intercropped stand versus the monoculture stand which could account for differences in the observed RS. / Master of Science

<p>Freshwater wetlands are capable of processing large amounts of excess nutrients from agricultural fields. These systems also have the potential to produce substantial amounts of nitrous oxide (N2O) and methane (CH4), both potent greenhouse gasses. Agricultural land use alters delivery of nutrients and carbon to downstream wetlands. These changes can impact denitrification and methanogenesis, leading to increased or decreased rates of greenhouse gas production. While there have been studies on effects of carbon and nutrients on greenhouse gasses separately, few studies in the region have identified how the combination of nutrients and carbon come together to modulate greenhouse gasses. Identifying the variation of carbon and nutrient processing in wetlands systems with different hydrology and agricultural impacts could potentially change what we know about carbon and nutrient cycling and how they impact greenhouse gasses emitted from wetlands. This study showed that 1) watershed land cover and wetland size correlated to water chemistry including concentrations of nitrogen, phosphorus, sulfate, and dissolved organic carbon concentration and composition and that 2) wetlands with higher levels of labile carbon, lower concentrations of nitrogen and sulfate are linked to higher rates of methane in wetland water while higher levels of nitrate were linked to increased wetland nitrous oxide. </p>