0000000000370678

AUTHOR

Mario Rega

showing 10 related works from this author

Impacts d’une meilleure description de la végétation urbaine sur des résultats de modélisation du climat urbain

2022

[SHS.GEO] Humanities and Social Sciences/Geography
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How relevant are local climate zones and urban climate zones for urban climate research? Dijon (France) as a case study.

2018

17 pages; International audience; Several typologies of urban surface properties have been proposed, in recent years, for urban heat island studies and climate modeling. Some were specifically developed for cities and urban climate issues, like the Urban Climate Zones, and the more recent Local Climate Zones. The initial objective of this paper is to evaluate the capacity of these two typologies to identify thermal environments in and around cities, and to determine which typology best captures the daily spatio-temporal patterns of surface and urban canopy heat islands. To simulate urban climate with a model, LULC data based on a given typology are required. To avoid circularity, we combine…

TypologyAtmospheric Science010504 meteorology & atmospheric sciencesUrban heat IslandGeography Planning and DevelopmentWRFLand cover010501 environmental sciencesEnvironmental Science (miscellaneous)01 natural sciencesMUSTARDijon networkNormalized Difference Vegetation IndexUrban climate11. SustainabilityUrban heat islandUrban climate zone0105 earth and related environmental sciencesLocal climate zoneClimate zones[SHS.ARCHI]Humanities and Social Sciences/Architecture space managementANOVA[SHS.GEO]Humanities and Social Sciences/Geography[SDE.ES]Environmental Sciences/Environmental and SocietyUrban Studies13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyWeather Research and Forecasting ModelEnvironmental scienceClimate model
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Distinct amino acids of  the Oenococcus oeni small heat shock protein Lo18 are essential for damaged protein protection and membrane stabilization

2010

The small heat shock protein (smHsp) Lo18 from lactic acid bacteria Oenococcus oeni reduces in vitro thermal aggregation of proteins and modulates the membrane fluidity of native liposomes. An absence of information relating to the way in which the smHsp demonstrates a stabilizing effect for both proteins and membranes prompted this study. We expressed three Lo18 proteins with amino acid substitutions in Escherichia coli to investigate their ability to prevent E. coli protein aggregation and their capacity to stabilize E. coli whole-cell membranes. Our results showed that the alanine 123 to serine substitution induces a decrease in chaperone activity in denaturated proteins, and that the ty…

chemistry.chemical_classificationbiologyProtein aggregationbiology.organism_classificationMicrobiologyAmino acidBiochemistrychemistryMembrane proteinChaperone (protein)Heat shock proteinGeneticsMembrane fluiditybiology.proteinDenaturation (biochemistry)Molecular BiologyOenococcus oeniFEMS Microbiology Letters
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Évaluation des effets thermiques des leviers d'action visant à réduire l'îlot de chaleur urbain : l'exemple de Dijon.

2017

Climate Change and Urban Heat Island (UHI) combine their effects and lead to increased frequencies and intensities of heat waves in urban environments. Considering the associated public health issues, several actions are possible: the color of the materials, the development of water surfaces or urban vegetation. In Dijon, a network of 60 stations makes it possible to evaluate the potential of these three actions. Analysis of the warm summer 2016 season reveals that the refreshing role of water only occurs during daytime, the effect of bright surfaces (concrete versus bitumen) on the air temperature is only a few tenths of a degree, while vegetation offers the largest refreshing potential. I…

[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyvegetationeauwaterICUUHI[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologyalbedo
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A statistical-dynamical downscaling for the urban heat island and building energy consumption - Analysis of Its uncertainties.

2020

AbstractHigh-resolution maps of the urban heat island (UHI) and building energy consumption are relevant for urban planning in the context of climate change mitigation and adaptation. A statistical–dynamical downscaling for these parameters is proposed in the present study. It combines a statistical local weather type approach with dynamical simulations using the mesoscale atmospheric model Meso-NH coupled to the urban canopy model Town Energy Balance. The downscaling is subject to uncertainties related to the weather type approach (statistical uncertainty) and to the numerical models (dynamical uncertainty). These uncertainties are quantified for two French cities (Toulouse and Dijon) for …

Consumption (economics)Atmospheric Science010504 meteorology & atmospheric sciencesbusiness.industryEnvironmental resource managementBuilding energyContext (language use)010501 environmental sciences01 natural sciences7. Clean energyClimate change mitigation13. Climate actionUrban planning[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology11. SustainabilityEnvironmental scienceUrban heat islandbusinessAdaptation (computer science)0105 earth and related environmental sciencesDownscaling
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Urban Heat Island (UHI) and heat waves: what relations?

2018

With four years of measurements and alarge sample of stations, the MUSTARDijon network allows for a detailed characterization of the Urban HeatIsland (UHI), a warm season phenomenon. But UHI and maximum temperature values are out of phase at twodistinct time-scales. Seasonally, the maxima of UHI occur from May to July, i.e. before the annual peak oftemperature (July to August). At a daily time-scale, analysis of the two heat waves of July 2015 shows a lag of afew days between the peak of UHI and the heat wave. Two hypotheses are suggested to explain these lags:changes in radiative conditions and/or energy fluxes between the ground surface and the atmosphere.

heat wavecaniculeUrban Heat Island (UHI)[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologyvegetation[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyDijondéphasageÎlot de Chaleur Urbain (ICU)lagvégétation
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Les Local Climate Zones face à la canicule de 2018 à Dijon.

2019

Air temperatures measured by the MUSTARDijon network are analyzed during the summer 2018 (July 24 - August 8) heat wave. The WUDAPT method is applied to Dijon to identify Local Climate Zones (LCZs). Diurnal rhythms and nighttime mean temperatures are analyzed according to LCZs as well as to altitude and distance to the city center. During warm nights, altitude plays a negligible role. The temperatures depend to the distance of the city center. They are also associated to the anthropization summarized by the LCZs. Form of the building and vegetation are the two keys to understand and modulate the night temperatures which have the greatest impact on human health during heat waves.

heat waveÎlot de Chaleur Urbaincanicule[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyUrban Heat IslandTempératureLCZ
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Dynamique spatio-temporelle d’un événement extrême froid : impact de la circulation atmosphérique sur les basses températures en Bourgogne viticole.

2020

During April 2019 France experienced several frost events that caused extensive damage to almost all of its winegrowing regions. In Bourgogne-Franche-Comté the frost effects were very punctual and spatially diffused, the greatest damage being observed in the early bud breaking winegrowing sub-regions of Saône-et-Loire and the south of the Côte de Beaune. This study focuses on the multi-scalar analysis of the spring frost event underwent during the night between the 4th and 5th of April on a vineyard plot located in the Hautes Côtes de Beaune appellation. The analysis highlights the impact of local parameters (topography, surface discontinuity, etc.) on the spatio-temporal structuring of tem…

physiological impact[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologyextreme weather events[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatologyatmospheric circulationimpact physiologiquecold snapcirculation atmosphériqueviticulturevagues de froidextrêmes thermiques
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Impacts d’une meilleure description de la végétation urbaine sur des simulations du climat urbain avec SURFEX-TEB.

2022

Le réseau MUSTARDijon offre la possibilité de procéder à une cartographie fine des températureshoraires sur Dijon Métropole. La méthode proposée ici repose sur des régressions linéaires multiplesmobilisant deux familles de prédicteurs : des descripteurs du relief et des descripteurs de l’occupation dusol. L’application porte sur la canicule de l’été 2020 (6-9 août). Deux configurations sont comparées. L’une,en mode recherche, laisse la possibilité aux descripteurs de varier dynamiquement en fonction de leurpertinence statistique, l’autre, en mode opérationnel, impose les 5 mêmes descripteurs en entrée. Entermes de performance statistique ou de structure spatiale, l’impact de la méthode n’es…

[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyModélisationÎlot de chaleur urbainVégétation urbaineDijon Métropole
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Comment et pour qui cartographier l’îlot de chaleur urbain (ICU) ?

2022

Le réseau MUSTARDijon offre la possibilité de procéder à une cartographie fine des températureshoraires sur Dijon Métropole. La méthode proposée ici repose sur des régressions linéaires multiplesmobilisant deux familles de prédicteurs : des descripteurs du relief et des descripteurs de l’occupation dusol. L’application porte sur la canicule de l’été 2020 (6-9 août). Deux configurations sont comparées. L’une,en mode recherche, laisse la possibilité aux descripteurs de varier dynamiquement en fonction de leurpertinence statistique, l’autre, en mode opérationnel, impose les 5 mêmes descripteurs en entrée. Entermes de performance statistique ou de structure spatiale, l’impact de la méthode n’es…

Îlot de Chaleur Urbain[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyCartographieDijon-Métropole.Géostatistique
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