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Stanovanja Po Vrsti, Površina Stanovanj, Število Gospodinjstev In
SLOVENIJA 1-2. STANOVI PREMA VRSTI, POVRŠINA STANOVA, BROJ DOMA6INSTAVA I LICA Broj stinovi prsmi vrsti Stanovi u društvenoj svojini Broj Povröna doma7instava 1-sobni stanova u m' u stanovima površina broj lici ukupno posebne sobe 2-sotmi broj stanova i garsonijere u stanovima stanova u m: u stanovima SOCIJALISTI<KA REPUBLIKA SLOVENIJA AJDOVŠ<INA AJDOV5CINA 1 186 56 376 333 182 70 159 256 * 166 5 86 30 11* 2 029 RATUJE 87 1 25 31 2* 6 625 90 337 7 *61 23 BELA T 2 5 635 7 33 BRJE 114 10 *6 7 88* 121 *36 35* 21 BUDANJE 16* 30 61 10 *66 157 676 *76 19 CESTA 69 6 26 25 5 683 80 332 COL HO 22 ** 33 7 766 112 *02 215 22 CRNICE 11* 1* 29 36 8 597 118 • 01 31* 15 DOBRAVLJE IIS 11 *6 *0 7 856 123 *50 198 11 OOLENJE 29 9 8 2 1*6 29 11* OOLCA POLJANA 71 11 37 18 5 677 7* 285 399 ?6 OUPLJE *7 2 22 22 3 807 *7 201 116 I ERZELJ 25 2 9 11 1 895 2* 82 GABRJE 73 U 32 * 6*3 71 219 80 GOCE 8» 12 36 6 825 80 283 *5 GOJACE 70 8 15 5 65* 66 256 BOU 25 1 11 2 189 28 12* GRADIŠ6E PRI VIPAVI 5* 5 2* 21 * **7 60 226 GRIVCE 17 8 * 1 081 17 6* KANNJE 10* 51 32 6 8*7 109 **0 KOVK *0 5 13 3 079 *1 190 KRUNA GORA 12 1 7 955 13 58 LOKAVEC 2** 31 78 85 15 *ll 251 1 025 161 16 LOZICI 5B 18 2* * 7*5 55 22* 23* 12 LOZE 57 23 18 * 693 58 2*7 201 15 DALE ZABIJE 8* 39 5 975 79 328 HALO POLJE 3* U 2 673 35 181 MANCE 29 9 8 2 320 29 106 NANOS 1 * 80* * 1* OREHOVI CA 1* 19 2 831 *1 179 OTLICA 103 *5 30 6 619 • 37 19 PLACE *7 20 13 3 285 19* PLANINA 101 12 25 38 8 *39 1C6 *86 160 6 POOBREG *2 9 15 1* 2 73* *2 19* 73 POOGRIC 17 2 6 5 1 0*5 16 59 POOKRAJ 110 16 *3 37 7 *3* 111 *36 -
Observations of Bora Events Over the Adriatic Sea and Black Sea by Spaceborne Synthetic Aperture Radar
1150 MONTHLY WEATHER REVIEW VOLUME 137 Observations of Bora Events over the Adriatic Sea and Black Sea by Spaceborne Synthetic Aperture Radar WERNER ALPERS Institute of Oceanography, University of Hamburg, Hamburg, Germany ANDREI IVANOV P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia JOCHEN HORSTMANN* GKSS Research Center, Geesthacht, Germany (Manuscript received 20 February 2008, in final form 15 September 2008) ABSTRACT Bora events over the Adriatic Sea and Black Sea are investigated by using synthetic aperture radar (SAR) images acquired by the advanced SAR (ASAR) on board the European satellite Envisat.Itisshown that the sea surface roughness patterns associated with bora events, which are captured by SAR, yield information on the finescale structure of the bora wind field that cannot be obtained by other spaceborne instruments. In particular, SAR is capable of resolving 1) bora-induced wind jets and wakes that are organized in bands normal to the coastline, 2) atmospheric gravity waves, and 3) boundaries between the bora wind fields and ambient wind fields. Quantitative information on the sea surface wind field is extracted from the Envisat ASAR images by inferring the wind direction from wind-induced streaks visible on SAR images and by using the C-band wind scatterometer model CMOD_IFR2 to convert normalized cross sections into wind speeds. It is argued that spaceborne SAR images acquired over the east coasts of the Adriatic Sea and the Black Sea are ideal means to validate and improve mesoscale atmospheric models simulating bora events. 1. Introduction co.uk/reports/wind/The-Bora.htm). In Europe, strong bora winds are encountered at 1) the east coast of the Bora winds are regional downslope winds, where cold Adriatic Sea, where they are called Adriatic bora, and 2) air is pushed over a coastal mountain range due to the the east coast of the Black Sea, where they are called presence of a high pressure gradient or by the passage of Novorossiyskaya bora because they are encountered near a cold front over the mountain range. -
Researcher's Guide to Slovenia
Researcher’s Guide to Slovenia Researcher’s Guide to S LOVE NIA 2019 | www.euraxess.si 1 Researcher’s Guide to Slovenia 1. COUNTRY ID CARD Legal name of the country: Republic of Slovenia Political system: democratic parliamentary republic established on June 25th 1991. Member of the European Union since May 1st 2004 Capital: Ljubljana Official Language: Slovenian, (also Italian and Hungarian in nationally mixed border areas) Currency: EUR 1 = 100 cents Country phone code: +386 Emergency call (Fire Brigade, Ambulance): 112, police: 113 GDP: €20,815 per capita Average gross monthly salary: 1,812,00 € (Nov 2018) Average gross monthly salary in research and development: 2,040,00 € (Nov 2018) Source: Statistical Office RS National flag Horizontal stripes in white, blue and red with coat of arms. Coat of arms Three six-pointed yellow stars are symbols of the Counts of Celje, with Triglav as a symbol of Slovenian statehood and underlying two wavy lines symbolizing Slovenian rivers and the sea. Anthem The seventh stanza of 'Zdravljica', a poem by France Prešeren, set to music by Stanko Premrl. 2 Researcher’s Guide to Slovenia Size: 20,273 km² Population: 2,070,000 Length of coastline: 46.6 km Neighbouring states: Austria, Italy, Hungary, Croatia Largest towns: Ljubljana (288,300), Maribor (108,600), Kranj (39,400), Celje (38,400) Highest mountain: Triglav 2,864 m Longest river: Sava 221 km Landscape: four basic types of landscape - Alpine in the north, Mediterranean in the south-west, Dinaric in the south and Pannonian in the east. Climate: there are three different types of climate in Slovenia: continental in the central part, Alpine in the north-west and sub-Mediterranean along the coast and its hinterland. -
Il Vino Nato Al Sole E Alla Bora
La valle Perché la nostra uva Attraverso i villaggi e vigneti, Il nostro vino è immensa è così dolce? per i campi, colline e prati generoso Chi attraversa la Slovenia dal centro verso il litorale o dal confine In primavera il sole alla Valle di Vipava riscalda velocemente la Sulle orme di Vertovec. Intraprendete il sentiero tematico attra- Sui pendii soleggiati dei colli di Vipava gli abitanti locali coltivano a ovest verso il cuore del Paese può vedere il monte Nanos. Pro- terra ed i liquidi vitali delle piante incominciano presto a circolare. verso i villaggi dell’Alta Valle di Vipava dove lavorò e visse Matija ben 25 specie di viti. Le più diffuse sono: ribolla, sauvignon, prio lì, dietro la curva e sotto la montagna sorge il fiume Vipava. Potare le viti a febbraio è un po’ presto, ma da noi è già tardi. Nelle Vertovec (1784 – 1851). L’escursione organizzata si svolge ogni malvasia, riesling italico e chardonnay, tra le qualità rosse in- Percorrendo la pianura verso l’Isonzo il fiume, la bora e il sole, piogge primaverili la terra può riempirsi d’acqua; quando invece anno in novembre, la prima domenica dopo la festa di San Mar- vece coltivano merlot, barbera ed cabernet sauvignon. Oltre che non sa se sorgere sopra le Alpi o sopra il mare, hanno creato la primavera si sporge nell’estate incomincia il caldo e il tempo di tino con il punto di partenza davanti alla vecchia quercia a Ustje a queste vengono coltivate le specie autoctone come zelen, pi- nela, klarnica, poljšakica, glera, pergulin, vitovska grganja e pikolit nonché i conosciutissimi pinot grigio e bianco, moscato giallo, sauvignon verde, prosecco e le rosse – pinot blu, cabernet I N F O : franc, refosco e syrah. -
Diapositiva 1
INCENDI BOSCHIVI NEL FRIULI VENEZIA GIULIA Nuovi strumenti di conoscenza, prevenzione e previsione VILLA MANIN DI PASSARIANO – 24 Maggio 2012 L’esercitazione internazionale antincendio boschivo “KARST EXERCISE 2011” Piero Giacomelli Gruppo Comunale Volontari Antincendio Boschivo e Protezione Civile TRIESTE esercitazione internazionale antincendio boschivo “KARST EXERCISE 2011” TRIESTE – Domenica 29 Maggio 2011 Obiettivi dell’esercitazione • Verifica delle procedure previste dal Protocollo di cooperazione transfrontaliera tra la Protezione civile della Repubblica di Slovenia e la Protezione civile del Friuli Venezia Giulia del 18 gennaio 2006 • Verifica delle procedure e comunicazioni tra le componenti del Volontariato AIB, del Corpo Forestale, dei Vigili del Fuoco e tra queste e la Sala Operativa Regionale (con particolare riguardo alla nuova rete radio regionale del volontariato) nonché tra le componenti Italiane e Slovene. • Verifica, in ambito carsico, del sistema di monitoraggio degli incendi boschivi tramite Wescam installata su elicottero del Servizio Aereo Regionale. • Verifica del livello di coordinamento tra i responsabili delle operazioni dei vari enti competenti sul territorio. INQUADRAMENTO GENERALE SCENARIO 1 FERNETTI – Bosco LANZI SCENARIO 1 • Si ipotizza che l’incendio sia generato dal passaggio di un convoglio ferroviario lungo la linea Villa Opicina – Sesana. • Nella primissima fase, l’incendio (Incendio 1a) si sviluppa nella zona compresa tra la ferrovia e il confine di Stato, favorito dalla pendenza del terreno e dalla sua conformazione che lo pone al riparo dal vento di bora. Successivamente a causa del vento, alcuni tizzoni oltrepassano la linea ferroviaria innescando la seconda parte dell’incendio che si propaga con rapidità favorito, questa volta, dal vento. • La zona interessata dall’incendio 1a è particolarmente carente di viabilità forestale. -
Vipava River Basin Adaptation Plan
Vipava River Basin Adaptation Plan 2016 Part I Vipava River Basin Adaptation Plan Authors: Manca Magjar, Peter Suhadolnik, Sašo Šantl, Špela Vrhovec, Aleksandra Krivograd Klemenčič, Nataša Smolar-Žvanut – IzVRS Contributors: Evelyn Lukat, Ulf Stein – Ecologic Institute Hans Verkerk, Nicolas Robert – European Forest Institute Steven Libbrecht, Roxana Dude, Valérie Boiten – PROSPEX Georgia Angelopoulou – GWP-MED Disclaimer: This river basin adaptation plan was developed within the BeWater project, based on funding received from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreement No. 612385. Views expressed are those of the authors only. FP7 BeWater D4.3: Four River Basin Adaptation Plans 168 Preface Climate change projections for the Mediterranean region estimate an increase in water scarcity and drought episodes, as well as more frequent floods and other extreme weather events . There is a high likelihood that these events will evoke substantial socio-economic losses and negative environmental impacts if no action is taken to support territories’ adaptation efforts. Furthermore, changes in population and land use, such as urban expansion or the abandonment or intensification of agriculture, also affect the response of territories to these events. In this context, sustainable water management strategies are urgently needed as they will enhance the resilience of socio-ecological systems, referring both to society and the environment. Current water management practices focus on the river basin level as the natural geographical and hydrological unit. Resilient water management strategies focusing on the river basin can respond to pressures within this unit in an appropriate way, while trying to minimize disruptions to the socio- ecological systems. -
Vanishing Landscape of the “Classic” Karst: Changed Landscape Identity
Landscape and Urban Planning 132 (2014) 148–158 Contents lists available at ScienceDirect Landscape and Urban Planning j ournal homepage: www.elsevier.com/locate/landurbplan Vanishing landscape of the “classic” Karst: changed landscape identity and projections for the future a,b a,∗ Mitja Kaligaricˇ , Danijel Ivajnsiˇ cˇ a Department of Biology, Faculty of Natural Sciences and Mathematics, University of Maribor, Koroskaˇ 160, Maribor, Slovenia b Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, Hoce,ˇ Slovenia h i g h l i g h t s • Changed landscape identity of the classic Karst was perceived in the last 250 years. • Grasslands declined for 3.5× from 1763/1787 to 2012. • The MLP model output validation revealed 89% similarity. • 2 Predictions indicate the speed of grassland overgrowing of 2.2 km /year. • Maintenance of grassland remnants should be incorporated in landscape planning. a r t i c l e i n f o a b s t r a c t 2 Article history: Continuous change over an area of 238 km of the “classic” Karst in Slovenia, previously severely defor- Received 5 March 2014 ested, has resulted in a change of the landscape identity in last 250 years (from 1763/1787 to 2012): Received in revised form 6 August 2014 grasslands declined from 82 to 20% and forests progressed from 17 to 73%. The Multi-Layer Perceptron Accepted 3 September 2014 model was validated before making predictions for further landscape change using the Markov chain method: a predicted map for 2009 was produced and compared with an actual one. -
Study: Mapping Fake News and Disinformation in the Western
STUDY Requested by the AFET committee Mapping Fake News and Disinformation in the Western Balkans and Identifying Ways to Effectively Counter Them Policy Department for External Relations Directorate General for External Policies of the Union EN PE 653.621 - February 2021 DIRECTORATE-GENERAL FOR EXTERNAL POLICIES POLICY DEPARTMENT STUDY Mapping Fake News and Disinformation in the Western Balkans and Identifying Ways to Effectively Counter Them ABSTRACT Disinformation is an endemic and ubiquitous part of politics throughout the Western Balkans, without exception. A mapping of the disinformation and counter-disinformation landscapes in the region in the period from 2018 through 2020 reveals three key disinformation challenges: external challenges to EU credibility; disinformation related to the COVID-19 pandemic; and the impact of disinformation on elections and referenda. While foreign actors feature prominently – chiefly Russia, but also China, Turkey, and other countries in and near the region – the bulk of disinformation in the Western Balkans is produced and disseminated by domestic actors for domestic purposes. Further, disinformation (and information disorder more broadly) is a symptom of social and political disorder, rather than the cause. As a result, the European Union should focus on the role that it can play in bolstering the quality of democracy and governance in the Western Balkans, as the most powerful potential bulwark against disinformation. EP/EXPO/AFET/FWC/2019-01/Lot1/R/01 EN February 2021 - PE 653.621 © European Union, -
Climate Change Adaptation Strategy for Agriculture in the Vipava Valley for the Period 2017-2021
LIFE15 CCA/SI/000070 ADAPTING TO THE IMPACT OF CLIMATE CHANGE IN THE VIPAVA VALLEY CLIMATE CHANGE ADAPTATION STRATEGY FOR AGRICULTURE IN THE VIPAVA VALLEY FOR THE PERIOD 2017-2021 JULY, 2017 Climate Change Adaptation Strategy for Agriculture in the Vipava Valley for the period 2017– 2021. UNIVERSITY OF LJUBLJANA BIOTECHNICAL FACULTY (UL BF) JAMNIKARJEVA 101 1000 LJUBLJANA SLOVENIA INSTITUTE FOR WATER OF THE REPUBLIC OF SLOVENIA (IZVRS) DUNAJSKA CESTA 156 1000 LJUBLJANA SLOVENIA HIDROTEHNIK D.D. SLOVEN ČEVA ULICA 97 1000 LJUBLJANA SLOVENIA BO – MO, D.O.O. BRATOVŠEVA PLOŠ ČAD 4 1000 LJUBLJANA SLOVENIA MUNICIPALITY OF AJDOVŠ ČINA CESTA 5. MAJA 6A 5270 AJDOVŠ ČINA SLOVENIA DEVELOPMENT AGENCY ROD AJDOVŠ ČINA VIPAVSKA CESTA 4 5270 AJDOVŠ ČINA SLOVENIA Cveji ć R., Honzak L., Tratnik M., Klan čnik K., Kompare K., Trdan Š., Štor P., Vodopivec P., Marc I., Pintar M. 2017. Climate Change Adaptation Strategy For Agriculture In The Vipava Valley For The Period 2017–2021 Climate Change Adaptation Strategy for Agriculture in the Vipava Valley for the period 2017– 2021. TABLE OF CONTENTS 1. Address by Development Agency ROD ........................................................................ 1 2. Vision, purpose and objectives ....................................................................................... 1 3. Starting points ................................................................................................................ 1 3.1 Climate change .............................................................................................................. -
A Preliminary Numerical Simulation of Bora Wind with a Limited Area Model of Atmospheric Circulation
View metadata, citation and similar papers at core.ac.uk brought to you by CORE IL NUOVO CIMENTOVOL. 23 C, N. 5 Settembre-Ottobre 2000 provided by Scientific Open-access Literature Archive and Repository A preliminary numerical simulation of bora wind with a limited area model of atmospheric circulation 1 2 M. W. QIAN ( ) (*)and C. GIRAUD ( ) (1) LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences Beijing 100029, China (2) Istituto di Cosmogeofisica del CNR - Torino, Italy (ricevuto il 28 Febbraio 2000; approvato il 21 Marzo 2000) Summary. — One case of bora that burst out on the 4th of January 1995 has been simulated with a regional atmospheric model (RAMS). This was a typical bora with a stationary cyclone that remained over southern Adriatic Sea during the whole episode of bora. Some common features of bora such as upstream acceleration, strong descent within bora layer and turbulent zone just downstream of the mountain have been demonstrated by the model simulation. The simulation of the bora wind speed and direction showed good agreement with the observation in Trieste (Italy). PACS 92.10.Fj – Dynamics of the upper ocean. PACS 92.10.Kp – Sea-air energy exchange processes. PACS 92.60.Gn – Winds and their effects. 1. – Introduction Bora has been studied by scientists for more than one hundred years. The earliest studies on bora were mostly descriptive. Bora was described as a cold and dry wind that was highly influenced by the local topography [1-3]. Later, some special field observations and wind tunnel experiments were performed and since then bora started to be considered as a fall wind [4]. -
Administrative Units of the Alpine Convention Alpine the of Units Administrative Alpine Signals 1 Signals Alpine 21
Administrative Units of the Alpine Convention Administrative Units Alpine signals 1 21 Scope of application of the Alpine Convention Administrative Units LIST OF ADMINistrative UNITS OF THE ALPINE CONVENTION IN 1) According to the Federal Official Journal (of the Republic of Austria) THE REPUBLIC OF AUSTRIA III vol. 18/1999 from 01.28.1999. Federal state of Strobl Weißpriach VORARLBERG Thalgau Zederhaus all municipalities Wals-Siezenheim District of Zell am See F e d e r a l s t a t e o f T Y R O L District of Sankt Johann im Pongau Bramberg am Wildkogel all municipalities Altenmarkt im Pongau Bruck an der Großglockner- straße Bad Hofgastein Federal state of Dienten am Hochkönig CARINTHIA Badgastein Bischofshofen Fusch an der Großglockner- all municipalities straße Dorfgastein Hollersbach im Pinzgau Eben im Pongau Federal state of Kaprun SALZBURG Filzmoos Flachau Krimml Lend Salzburg (town area) Forstau Goldegg Leogang District of Hallein Großarl Lofer Hüttau Maishofen Abtenau Maria Alm am Steinernen Adnet Hüttschlag Kleinarl Meer Annaberg im Lammertal Mittersill Golling an der Salzach Mühlbach am Hochkönig Pfarrwerfen Neukirchen am Großvene- Hallein diger Krispl Radstadt Sankt Johann im Pongau Niedernsill Kuchl Piesendorf Oberalm Sankt Martin am Tennen- gebirge Rauris Puch bei Hallein Saalbach-Hinterglemm Rußbach am Paß Gschütt Sankt Veit im Pongau Schwarzach im Pongau Saalfelden am Steinernen Sankt Koloman Meer Scheffau am Tennengebirge Untertauern Sankt Martin bei Lofer Vigaun Wagrain Stuhlfelden District Werfen Taxenbach Salzburg/Surrounding -
Action C.2 C.4
Funded by European Union Humanitarian Aid and Civil Protection Task C – Risk/Vulnerability assessment Action C.2/C.4: Assessing the risk/vulnerability of the local area to high wind gusts in five major aspects: population, infrastructure, transit, buildings and forests; Assessing the risk/vulnerability of areas to high wind during storms For the Wind Risk prevention project University of Ljubljana Technical University of Dortmund University of Split Municipality of Ajdovščina »With the contribution of the Civil Protection Financial Instrument of the European Union« Chapter C.2 – Assessing the risk/vulnerability of the local area to high wind gusts in five major aspects: population, infrastructure, transit, buildings and forests ‘Zastava clouds’ Source: Šterman Mirko: Ob burji se pojavijo zastave – Oblačne kape nad Goro, 2013 (Zastava air masses over mountain barriers) Igor Benko, Polonca Vodopivec, Tjaša Gulje, Urška Bajc, Mitja Plos, Goran Turk 1 »With the contribution of the Civil Protection Financial Instrument of the European Union« Chapter C.2 – Assessing the risk/vulnerability of the local area to high wind gusts in five major aspects: population, infrastructure, transit, buildings and forests.................................................... 0 1. General and local winds over Earth .......................................................................................... 4 1.1. Sea breezes .............................................................................................................................. 5 1.2. Land