DOCSLIB.ORG

Urząd Statystyczny W Gdańsku

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Urząd Statystyczny W Gdańsku DZIA54 GEOGRAFIAŁ I CHAPTER I GEOGRAFIA GEOGRAPHY TABL. 1. POŁOŻENIE GEOGRAFICZNE GEOGRAPHIC LOCATION W stopniach, Gmina i minutach W km WYSZCZEGÓLNIENIE SPECIFICATION Gmina In degrees In km and minutes Najdalej wysunięte punkty granicy Extreme points of the voivodship województwa: border: na północ (szerokość geografi czna in the north (northern geographic północna) – przylądek Rozewie Władysławowo 54º50’ x latitude) – cape Rozewie na południe (szerokość geografi czna in the south (northern geographic północna) – Stare Gronowo ......... Debrzno 53º29’ x latitude) – Stare Gronowo na zachód (długość geografi czna in the west (eastern geographic wschodnia) – Zalesin .................. Ustka 16º42’ x longitude) – Zalesin na wschód (długość geografi czna in the east (eastern geographic wschodnia) – Piaski .................... Krynica Morska 19º39’ x longitude) – Piaski Rozciągłość: z południa na północ ...... - 1º21’ 150 Extent: from south to north z zachodu na wschód .... - 2º57’ 191 from west to east Ź r ó d ł o: dane Wojewódzkiego Inspektoratu Nadzoru Geodezyjnego i Kartografi cznego Pomorskiego Urzędu Wojewódzkiego w Gdańsku. S o u r c e: data of the Geodesy and Cartography Inspectorate of the Pomorskie Voivodship Offi ce in Gdańsk. TABL. 2. POWIERZCHNIA I GRANICE W 2014 R. Stan w dniu 31 XII AREA AND BORDERS IN 2014 As of 31 XII W liczbach W % WYSZCZEGÓLNIENIE bezwzględnych SPECIFICATION In % In absolute numbers Powierzchnia w km2 ............................. 18310 x Area in km2 Długość granic w km ........................... 961 100,0 Length of borders in km lądowych ......................................... 703 73,2 land borders z województwami: with voivodships: warmińsko-mazurskim ............ 196 20,4 warmińsko-mazurskie kujawsko-pomorskim .............. 249 25,9 kujawsko-pomorskie wielkopolskim ......................... 66 6,9 wielkopolskie zachodniopomorskim ............. 191 19,9 zachodniopomorskie z Rosją ........................................ 1 0,1 with Russia morskich (bez półwyspu Helskiego) 258 26,8 sea borders (without Hel Peninsula) Na 1000 km2 powierzchni przypada granic w km ..................................... 52,5 x Borders in km per 1000 km2 of area U w a g a. Powierzchnia ogólna województwa według podziału administracyjnego obejmuje obszar lądowy (łącznie z wodami śródlądowymi) oraz część morskich wód wewnętrznych, tj. część Zalewu Wiślanego wraz z wodami portów oraz wody portów Zatoki Gdańskiej i portów graniczących z wodami morza terytorialnego. Ź r ó d ł o: dane Centralnego Ośrodka Dokumentacji Geodezyjnej i Kartografi cznej w oparciu o dane PRG (Państwowy Rejestr Granic). N o t e. The total area of the voivodship according to the administrative division includes a land area (including inland waters) as well as a part of internal seawaters, i.e. a part of the Wisła Bay including waters of ports and waters of the Gulf of Gdańsk and ports bordering on territorial sea waters. S o u r c e: data of the Geodesic and Cartographic Documentation Center based on data of the National Register of Boundaries. GEOGRAPHY 55 TABL. 3. UKŁAD PIONOWY POWIERZCHNI ELEVATIONS Wzniesienie nad Gmina poziom morza w m WYSZCZEGÓLNIENIE SPECIFICATION Gmina Elevation above the sea level in m Najwyżej położony punkt – Wieżyca ... Stężyca 329 The highest point – Wieżyca Najniżej położony punkt – rów w Cedrach Małych ............................................. Cedry Wielkie -1,5 The lowest point – ditch in Cedry Małe Ź r ó d ł o: dane Wojewódzkiego Inspektoratu Nadzoru Geodezyjnego i Kartografi cznego Pomorskiego Urzędu Wojewódzkiego w Gdańsku. S o u r c e: data of the Geodesy and Cartography Inspectorate of the Pomorskie Voivodship Offi ce in Gdańsk. TABL. 4. WIĘKSZE RZEKI PRINCIPAL RIVERS W tym na terenie Długość całkowita województwa RZEKI a Recypient b Total length Of which on the voivodship RIVERS a Recipient b territory w km in km Wisła .................................................... Morze Bałtyckie 1022,4 86,9 Brda ..................................................... Wisła 249,2 135,6 Wda (Czarna Woda) ............................ Wisła 203,2 142,8 Wierzyca .............................................. Wisła 177,0 177,0 Słupia ................................................... Morze Bałtyckie 157,6 157,6 Łeba ..................................................... Morze Bałtyckie 135,3 135,3 Wieprza ............................................... Morze Bałtyckie 130,7 67,9 Liwa ..................................................... Nogat 114,7 88,7 Łupawa ................................................ Morze Bałtyckie 112,9 112,9 Radunia ............................................... Motława 87,4 87,4 Nogat ................................................... Zalew Wiślany 62,7 51,8 Czernica .............................................. Gwda 55,1 51,8 Motława ............................................... Martwa Wisła 42,2 42,2 a Uszeregowane w porządku hydrografi cznym. b Rzeka lub zbiornik wodny, do którego uchodzi dopływ. Ź r ó d ł o: Wydział Katastru Wodnego Departament Planowania i Zasobów Wodnych, Krajowy Zarząd Gospodarki Wodnej, na podstawie Mapy Podziału Hydrografi cznego Polski w skali 1:10000. a Listed according to hydrographic order. b River or reservoir into which the water fl ows. S o u r c e: Planning and Water Resources Department, National Water Management Authority, on the basis of Raster Hydrographical Map of Poland at a scale 1:10000. 56 GEOGRAFIA TABL. 5. WIĘKSZE I GŁĘBSZE JEZIORA LARGER AND DEEPER LAKES JEZIORA Gmina Powierzchnia a w ha Głębokość maksymalna w m LAKES Gmina Area a in ha Maximum depth in m WEDŁUG POWIERZCHNI BY AREA Łebsko ................................................. Smołdzino, Wicko 7033,7 6,3 Gardno ................................................. Smołdzino 2270,8 2,6 Żarnowieckie ....................................... Gniewino 1412,7 19,4 Charzykowskie .................................... Chojnice 1346,9 30,5 Wdzydze .............................................. Karsin, Dziemiany 932,8 68,0 Dzierzgoń ............................................ Prabuty 780,6 15,0 Raduńskie Dolne ................................. Chmielno 689,7 35,4 Karsińskie ............................................ Chmielno 681,5 27,1 Sarbsko ............................................... Wicko 618,6 3,2 Rzeczenica, Szczytno Wielkie ................................. Przechlewo, Człuchów 587,5 21,4 Bobięcińskie Wielkie ............................ Miastko 518,5 48,0 WEDŁUG GŁĘBOKOŚCI BY DEPTH Wdzydze .............................................. Karsin, Dziemiany 932,8 68,0 Bobięcińskie Wielkie ............................ Miastko 518,5 48,0 Mausz .................................................. Sulęczyno 398,6 45,0 Raduńskie Górne ................................. Stężyca 379,7 43,0 Ostrowite ............................................. Chojnice 265,7 43,0 Borzechowskie Wielkie ........................ Zblewo 229,8 43,0 Gwiazdy ............................................... Lipnica 206,2 43,7 Wielewskie ........................................... Karsin 156,1 40,5 Ocypel Wielki ....................................... Lubichowo 105,1 40,0 a Zwierciadła wody i wysp na jeziorze. Ź r ó d ł o: Wydział Katastru Wodnego Departament Planowania i Zasobów Wodnych, Krajowy Zarząd Gospodarki Wodnej, na podstawie Mapy Podziału Hydrografi cznego Polski w skali 1:10000. a Water and island lake level. S o u r c e: Planning and Water Resources Department, National Water Management Authority, on the basis of Raster Hydrographical Map of Poland at a scale 1:10000. GEOGRAPHY 57 TABL. 6. TEMPERATURY POWIETRZA AIR TEMPERATURES Temperatury w oC Wzniesienie Temperatures in oC stacji nad a średnie skrajne amplitudy STACJA METEO- poziom a average extreme temperatur ROLOGICZNA morza w m skrajnych METEORO- Station amplitudes LOGICAL elevation maksimum minimum of extreme STATION above the maximum minimum 1971–2000 1991–2000 2001–2010 2014 tempe- sea level ratures in m 1971–2014 Chojnice ........... 164 7,3 7,6 7,9 9,0 36,3 -25,7 62,0 Hel ................... 1 8,1 8,4 8,7 9,4 33,7 -18,2 51,9 Łeba ................. 2 7,7 8,0 8,3 9,2 37,2 -25,0 62,2 a Dane za okresy wieloletnie dotyczą średnich rocznych z tych okresów. Ź r ó d ł o: dane Instytutu Meteorologii i Gospodarki Wodnej. a Data for multi-year periods include annual averages from these periods. S o u r c e: data of the Institute of Meteorology and Water Management. TABL. 7. OPADY ATMOSFERYCZNE, PRĘDKOŚĆ WIATRU, USŁONECZNIENIE I ZACHMURZENIE ATMOSPHERIC PRECIPITATION, WIND VELOCITY, INSOLATION AND CLOUDINESS Średnia Średnie Wzniesienie prędkość Usłonecz- zachmurzenie stacji nad wiatru Roczne sumy opadów w mm nienie w h w oktantach a STACJA METEO- poziom w m/s Total annual precipitation in mm Insolation Average ROLOGICZNA morza w m Average in h cloudiness in METEO- Station wind velocity octants a ROLOGICAL elevation in m/s STATION above the 1971–2000 1991–2000 2001–2010 sea level b 2014 in m średnie average b Chojnice ........... 164 547 574 670 508 3,5 1978 5,4 Hel ................... 1 578 590 623 455 3,3 1778 4,9 Łeba ................. 2 632 638 703 433 4,8 2071 5,2 a Stopień zachmurzenia nieba od 0 (niebo bez chmur) do 8 (niebo całkowicie pokryte chmurami). b Dane za okresy wieloletnie dotyczą średnich rocznych z tych okresów. Ź r ó d ł o: dane Instytutu Meteorologii i Gospodarki Wodnej. a Degree of cloudiness from 0 (no clouds) to 8 (total cloud cover). b Data for multi-year periods include annual averages from these periods. S o u r c e: data of the Institute of Meteorology and Water Management..
Load more

Recommended publications
  • Quantitative Analysis of the Impact of Fishing Ship Traffic Streams on Traffic Streams of Merchant Vessels in Polish Maritime Areas
    Scientific Journals Zeszyty Naukowe of the Maritime University of Szczecin Akademii Morskiej w Szczecinie 2018, 53 (125), 93–101 ISSN 1733-8670 (Printed) Received: 24.10.2017 ISSN 2392-0378 (Online) Accepted: 20.02.2018 DOI: 10.17402/270 Published: 16.03.2018 Quantitative analysis of the impact of fishing ship traffic streams on traffic streams of merchant vessels in Polish maritime areas Anna Anczykowska, Paulina Rekowska, Wojciech Ślączka Maritime University of Szczecin, Faculty of Navigation, Maritime Risk Center 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland e-mail: [email protected] corresponding author Key words: fishing vessels, Baltic Sea, traffic streams, merchant vessels, maritime areas, risk Abstract The Baltic Sea is crisscrossed by several dense vessel traffic routes. Growing shipping traffic increases the likelihood of collisions. A quantitative analysis of the impact of fishing vessel traffic streams on streams of merchant vessel traffic aims to identify areas of intense traffic of this type and to assess the potential risks. The identification of intersections of fishing vessel routes and merchant shipping traffic allows us to identify spots of potential collisions. The analysis made use of the IALA IWRAP Mk2 program and AIS data collected from April 1, 2013 to March 31, 2014. Introduction Shipping routes in the South Baltic – state of knowledge The intensity of commercial vessel traffic in the Baltic Sea has been increasing yearly. The observed The Helsinki Commission (HELCOM) conducts growth comprises mainly bulk carriers, container research on the vessel traffic density in the Baltic ships, general cargo vessels and passenger ships. Sea. Traffic streams are recorded via the automatic Since the LNG terminal in Świnoujście was put into identification system (AIS).
    [Show full text]
  • 12.2% 126000 145M Top 1% 154 5100
    We are IntechOpen, the world’s leading publisher of Open Access books Built by scientists, for scientists 5,100 126,000 145M Open access books available International authors and editors Downloads Our authors are among the 154 TOP 1% 12.2% Countries delivered to most cited scientists Contributors from top 500 universities Selection of our books indexed in the Book Citation Index in Web of Science™ Core Collection (BKCI) Interested in publishing with us? Contact [email protected] Numbers displayed above are based on latest data collected. For more information visit www.intechopen.com Chapter Mercury Cycling in the Gulf of Gdańsk (Southern Baltic Sea) Dominika Saniewska Abstract The most efficient way of mercury (Hg) transport to the Gulf of Gdańsk was river runoff. Therefore, hydrological conditions were the most important factors controlling the inflow of Hg to the sea. The second most important Hg source in the Gulf was atmospheric deposition, which transported seven times smaller load than rivers. The Hg wet deposition dominated in the warm season, while during the heating season the predominant was dry deposition of mercury. The Hg source, which should not be neglected during the creation of the mass balance of Hg in aquatic ecosystems, was the coastal erosion. In the Gulf of Gdańsk, it accounts for 6% of the Hg load reaching the sea. The main sink of Hg was bottom sediments. Other important processes that reduced the Hg load in the Gulf water were re- emission of Hg to the atmosphere and export of this metal to the Baltic Proper. The mass balance of mercury in the Gulf of Gdańsk indicated that a larger load of this metal flowed into the Gulf than left it.
    [Show full text]
  • Kierunki Zmian W Krajobrazie Polskiego Wybrzeża Wynikające Z
    https://doi.org/10.18778/0867-5856.15.1-2.13 Elżbieta Gerstmannowa Katedra Organizacji Usług Turystyczno-Hotelarskich Akademia Morska w Gdyni 81-225 Gdynia ul. Morska 83 tel./iax: (058) 6901401, [email protected] KIERUNKI ZMIAN W KRAJOBRAZIE LANDSCAPE CHANGES POLSKIEGO WYBRZEŻA ON THE POLISH COASTLINE WYNIKAJĄCE Z ROZWOJU RELATED TO TOURISM TURYSTYKI DEVELOPMENT Zarys treści: Piętnastoletni okres transformacji spoleczno- Abstract: The 15-year long period of socio-economic -gospodarczej w Polsce to czas dynamicznego rozwoju nad­ transformation in Poland has seen a dramatic develop­ morskiej turystyki. Na podstawie badań z lat 1989-2004 do­ ment in coastal tourism. This paper, based on investiga­ konano krótkiej analizy zmian w turystycznym zagospodaro­ tions conducted between 1989 and 2004, analyses waniu wybrzeża. Określono m.in. główne funkcje gospodarcze tourism-related changes in Poland’s coastal regions. It discusses their main economic functions, the phases wybrzeża, etapy rozwoju turystyki i kierunki zmian w krajo­ of tourism development and trends in landscape brazie polskiego wybrzeża. change. Stówa kluczowe: wybrzeże, krajobraz, zmiany, turystyka. Key words: coast, landscape, recent changes, tourism. 1. POŁOŻENIE I CECHY 1. THE SITUATION AND PHYSICAL FIZYCZNOGEOGRAFICZNE POLSKIEJ CHARACTERISTICS OF POLAND’S STREFY NADMORSKIEJ COASTLINE Polskie wybrzeże otwartego morza o długości ok. The Polish section of the Baltic shoreline, 500 km znajduje się w następujących makroregio­ running for some 500 km, belongs to nach i mezoregionach (KONDRACKI 2000): the following macro- and meso-regions 313.2-3. Pobrzeże Szczecińskie, (Kondracki 2000): 313.21. Wyspy Uznam i Wolin, 313.2-3. Szczecin Coastal Region, 313.22. Wybrzeże Trzebiatowskie, 313.21. the islands of Usedom and Wolin, 313.4.
    [Show full text]
  • Imentarycharacter of the Ocean Floor
    CoastalChange on the TimeScale of Oecadesla !filiffennia Passiveairborne multi-spectral remote sensing application to nearshore, acean-floor mapping and geology EbitariIsoun', charlesFletcher', Neil Frazer!,Jodi I-larney',and JonathanGradiez 1University of Hawaii, Manoa, Department of Geology and Geophysics, 1680East-west Rd.,posT 721 Honolulu, ~I 96822, u.s.A. e-mail Isoun!:ebitari@soest hawaii.edu e-maillFietcher!. fletcherosoest hawaii.edu e-mail Frazer!:neilosoest.hawaa.edu e-mail Harney!:[email protected] 2!onathanGradie Terra systems nc.Earth & planetRs,suite 264, 2800 woodlawn Dr., Honolulu, Hl96822, u s,A, e-mailigradie!Ter rasys. corn Airbornedigital multi-spectral images collected in fourdiscrete narrow bands 88, 551,557, 701nm; width of 10nm! providehigh resolution mapping capabilities in near-shoremarine environments. The digital database for thisproject con- sistsof informationfor depthsup to -35min KailuaBay; a typicalfringing reef environment on windwardOahu, Hawaii. Subsequentphysical modeling of the multi-spectralcomponents is usedto deconvolvethe spectraleffects of the atmos- phere,water column and benthic substrates to obtain depth and bottom-type maps, Using high-resolution USGS bathym- etrysurvey data collected at two sectionsof the bayfor errorassessment, the physicalmodel achieves 80'in accuracy in predicteddepth. Spatial clustering of the bottom-typepredictions are supported by extensiveground truthing and field knowledgeas well as low error in depthpredictions. Fifteen classes are mapped that reflect variations in ecologyand sed- imentarycharacter of the ocean floor. The usefulness of this model lies its flexible application to this and other spectral data types collected in marine environments. 10S CoasraiChange on the TimeScafe of Oecades o INIIennia Measuring and modeling coastal progradation, catastrophic shoreline retreat. and shoreface translation along the coast of Washington State, USA GeorgeM.
    [Show full text]
  • Monosaccharides in the Water of the Gulf of Gdańsk 249
    Monosaccharides OCEANOLOGIA, 43 (2), 2001. pp. 247–256. in the water of 2001, by Institute of the Gulf of Gdańsk Oceanology PAS. KEYWORDS Monosaccharides Baltic Sea Seawater Waldemar Grzybowski Agnieszka Maksymiuk Institute of Oceanography, University of Gdańsk, al. Marszałka Piłsudskiego 46, PL–81–378, Gdynia, Poland; e-mail: [email protected] Manuscript received 20 February 2001, reviewed 23 April 2001, accepted 9 May 2001. Abstract The concentration of monosaccharides in samples collected in the Gulf of Gdańsk area was determined in water filtered through ∼0.8 µm pore size filters. Seawater concentrations ranged from about 0.2 to 1.1 mg C dm−3, the highest values being detected at the mouth of the river Vistula. Seasonality was detectable in the data distribution; the majority of autumn values lay within the 0.2–0.4 range while concentrations in the spring samples were higher and the values more widely scattered. Measurements of monosaccharide concentrations at selected points during the whole observation period showed that values increased from spring to autumn as much as 5-fold. Concomitant analyses in Vistula river water yielded concentrations from 0.4 to 1.2 mg C dm−3. These latter values were all higher than those recorded in seawater in the corresponding months. 1. Introduction Saccharides comprise the largest class of chemically identified cons- tituents of dissolved organic matter (DOM) in seawater (Williams 1975). Their estimated proportion in the dissolved organic carbon (DOC) pool ranges from ∼15% (Heinrichs & Williams 1985, Senior & Chevolet 1989) to ∼35% (Burney et al. 1982). Even at low concentrations they provide 248 W.
    [Show full text]
  • A Guide Northern
    The Baltic shores swept by bitter northern winds and the sunniest bay in Poland, Puck Bay. A chance to marvel at the Northern Lights in winter. Birds travelling from afar herald seasonal changes here as each autumn and spring they stop on their way between the Arctic and warmer climes. Even though it is not a lakeland, the cleanest Polish lakes are here. This is Northern Kashubia, where you can discover amazing landscapes, natural phenomena, plants, and animals that you won’t fi nd in other regions of Poland. www.kaszubypolnocne.pl “European Agricultural Fund for Rural Development: Europe investing in rural areas”, The publication prepared by Tourist Association “Northern Kashubia” Local Tourist Organisation The publication co-fi nanced from the European Union funds under the LEADER of the Rural Development Programme for 2014–2020 The Managing Authority of the Rural Development Programme for 2014–2020 – the Minister of Agriculture and Rural Development A GUIDE NORTHERN Key to the icons used in the texts: Spring Summer Autumn Winter observation of sea and sky phenomena sky observation bird observation seal observation plant observation Download our offi cial app Northern Kashubia Local Tourist OrganizationA GUIDE Table INVITATION TO NORTHERN KASHUBIA of contents The Baltic shores swept by bitter northern winds and the sunniest bay in Poland, Puck Bay. In summer, the longest days and the most beautiful beaches on the longest Polish peninsula; in winter, the longest nights, providing a chance to see the Northern Lights. Travelling birds herald seasonal changes here as each spring and autumn they stop on their way between the Arctic and warmer climes.
    [Show full text]
  • Budget of 90Sr in the Gulf of Gdańsk (Southern Baltic Sea)
    Oceanologia (2018) 60, 256—263 Available online at www.sciencedirect.com ScienceDirect jou rnal homepage: www.journals.elsevier.com/oceanologia/ ORIGINAL RESEARCH ARTICLE 90 Budget of Sr in the Gulf of Gdańsk (southern Baltic Sea) Michał Saniewski *, Tamara Zalewska Institute of Meteorology and Water Management, National Research Institute, Gdynia, Poland Received 11 September 2017; accepted 17 November 2017 Available online 1 December 2017 90 KEYWORDS Summary In the period from 2005 to 2011 the major source of Sr to the Gulf of Gdańsk was the 90 Sr; Vistula river. Its contribution was 99.7% of the total load. The main processes responsible for the 90 Budget; decrease in Sr activity in the Gulf of Gdańsk were: radioactive decay (87%) and sediment 90 deposition (13%). Average increase in the activity of Sr in the Gulf of Gdańsk during the study Gulf of Gdańsk 90 period was 5.0% (114 GBq), which was almost 2 times higher than the loss of Sr due to 137 radioactive decay. In the years 1997—2015, the effective half-life of Cs was 9.1 years and 90 137 90 that of Sr was 50.3 years. Assuming a further decrease in Cs and maintaining Sr concentra- 90 tions at present level, it is expected that Sr will become the major anthropogenic isotope having impact on the level of radioactivity in the Gulf of Gdańsk. © 2017 Institute of Oceanology of the Polish Academy of Sciences. Production and hosting by Elsevier Sp. z o.o. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
    [Show full text]
  • Bukowska Janiszewska Mordw
    Potentials of Poland Introduction to Socio-Economic Geography of Poland for Foreigners Łódź 2012 citation: Rosińska-Bukowska M., Janiszewska A., Mordwa S. (eds), 2012, Potentials of Poland. Introduction to socio-economic geography of Poland for foreigners, Dep. of Spatial Economy and Spatial Planning, ISBN 978-83937758-1-1, doi: 11089/2690. Review Izabela Sołjan Editors Magdalena Rosińska-Bukowska Anna Janiszewska Stanisław Mordwa Managing editor Ewa Klima (If you have any comments to make about this title, please send them to: [email protected]) Text and graphic design by Karolina Dmochowska-Dudek Cover design by Karolina Dmochowska-Dudek Książka dostępna w Repozytorim Uniwersytetu Łódzkiego http://hdl.handle.net/11089/2690 ISBN: 978-83-937758-1-1 © Copyright by Department of Spatial Economy and Spatial Planning, University of Łódź, Łódź 2012 TABLE OF CONTENTS 1. INTRODUCTION ......................................................................................................... 9 (Editors) 2. POTENTIAL OF THE POLISH ENVIRONMENT ................................................. 10 (Sławomir Kobojek) 2.1. Location – area – spatial resources .............................................. 10 2.2. Resources of the Polish land – geological composition – minerals12 2.2.1. Geological structures in Poland – tectonic units ................... 12 2.2.2. The Quaternary and the Pleistocene – the Polish ice age ... 18 2.3. Diversity of geomorphological landscape – topographic relief of Poland ..........................................................................................
    [Show full text]
  • The Ice Season 2010-2011
    HELCOM Baltic Sea Environment Fact Sheets 2011 The ice season 2010-2011 Author: Jouni Vainio1 Co-authors: Patrick Eriksson1, Natalija Schmelzer2, Jürgen Holfort2, Torbjörn Grafström3, Amund E.B. Lindberg3, Lisa Lind3, Jörgen Öberg3, Andris Viksna4, Eduards Križickis4, Ida Stanisławczyk5 and Marzenna Sztobryn5 Key Message • The ice season of 2011-2012 was severe in terms of ice extent (Figure 1.). • The largest ice cover – 309,000 km² – was reached a few days earlier than average on the 25th of February. • The ice extent was the greatest in the Baltic since the record winter of 1986-1987. • On the 25th May the Baltic Sea was ice-free (Figure 4.). • The duration of the ice winter in the northern sea areas of the Baltic Sea was about one month longer than average. Figure 1. The maximum extents of ice cover in the Baltic Sea in the winters 1719-1720 to 2010-2011 (Courtesy of FMI). HELCOM Baltic Sea Environment Fact Sheets 2011 Ice season in the northern Baltic Sea Ice formation Autumn and early winter Following a normal October, sea surface temperatures in the areas surrounding Finland were in line with long-term averages. At the beginning of November, the seawater actually warmed up a bit, but then began to cool down again after the first week of the month. A thin layer of ice formed in Kemi inner harbour and the innermost bays of Raippaluoto in mid-November. At that point sea surface temperatures were equivalent to long term averages. Ice growth December The end of November was unusually, even exceptionally, cold.
    [Show full text]
  • Water Mass Exchange Between the Gulf of Gdansk and the Baltic Sea
    Papers OCEANOLOGIA, 20, 1985 Water mass exchange PL ISSN 0078-3234 between the Gulf of Gdansk Water exchange Baltic Sea and the Baltic Sea* Gulf of Gdansk Numerical model A n d r z e j Ja n k o w s k i Institute of Oceanology, Polish Academy of Sciences Sopot Manuscript received 17 November 1982, in final form 11 October 1983. Abstract On the basis of the results of H-N models of steady wind-driven circulation in the Baltic Sea a general picture of water movements in the Gulf of Gdansk is discussed. Depth profiles of the current speed components at the open boundary (Rozewie —Taran) complete the spatial scheme of the water mass exchange between the Gulf of Gdansk and the Baltic Sea. The results presented in the paper were calculated for the case of the homogeneous sea water and for the homogeneous field of winds blowing from the directions, W, N, NW, and NE. 1. Introduction The Gulf of Gdańsk has a wide and deep connection with the southern Baltic, which is not without influence on the hydrological regime of its waters. The deter­ mination of water dynamics in the Gulf, based on hydrodynamic numerical (H-N) models [3, 9], carried out so far, shows that the Gulf cannot be treated as a separate area as far as its water circulation is concerned. The field of currents of the Gulf is a continuation of such a field in the southern Baltic. This fact makes it more dif­ ficult to determine the water exchange between the Gulf and the Baltic Sea and estimate the balance of biogenic and chemical deposits carried into and out of the Gulf by water.
    [Show full text]
  • Journal of Ecology and Protection of the Coastline
    Geotourist assets of coastal zone between Władysławowo and Jastrzębia Góra 91 B A L T I C C O A S T A L Z O N E Journal of Ecology and Protection of the Coastline ISBN 1643-0115 Vol. 21 pp. 91-108 2017 ISSN 1643-0115 © Copyright by Institute of Biology and Environmental Protection of the Pomeranian University in Słupsk Received: 20/06/2017 Original research paper Accepted: 11/09/2017 GEOTOURIST ASSETS OF COASTAL ZONE BETWEEN WŁADYSŁAWOWO AND JASTRZĘBIA GÓRA Aneta Marek 1, Ireneusz J. Olszak 1 Department of Socio-Economic Geography and Touristics, Institute of Geography and Regional Studies, Pomeranian University in Słupsk, ul. Partyzantów 27, 76-200 Słupsk, Poland e-mail: [email protected] Abstract Polish Baltic coast, especially in summer season, is one of the most attractive, in terms of tourism, regions of the country. From a geotourist viewpoint, particularly attractive are the cliff sections. The attractiveness of a given coast fragment is also determined by tourist facilities provided there and an- thropogenic objects which are of interest to tourists. The coast section between Władysławowo and Jastrzębia Góra is particularly attractive. This is thanks to its diverse geological structure visible in cliff outcrops, and varied cliff relief cut by deep gullies. The geological sediments to be observed there include brown coal outcrops. The attractiveness of the coast is enhanced by its geographical lo- cation. It is the northernmost fragment of Poland’s territory. An additional attraction is provided by anthropogenic objects, e.g. the lighthouse in Rozewie or various forms of technical shore defence against abrasion.
    [Show full text]
  • Selected Results of the Parametric Soundings of the Gdaￅﾄsk
    SELECTED RESULTS OF THE PARAMETRIC SOUNDINGS OF THE GDAŃSK BAY GRAŻYNA GRELOWSKA1, EUGENIUSZ KOZACZKA1,2 1Polish Naval Academy Śmidowicza 69 , 81-103 Gdynia, Poland 2Gdańsk University of Technology Narutowicza 11/12, 80-952 Gdańsk, Poland [email protected]; [email protected] The aim of the paper is to present results of experimental investigation using parametric echosounder in natural conditions for profiling the sub-bottom sediments in the Gdansk Bay. The special experimental setup has been arranged allowing penetration of bottom sediments as well as precise positioning and following a given route. Measurements were conducted exactly along given routes, for those geological profiles have bean taken by means of another method. It allow as to compare detailed date obtained by means of parametric echosounding to ones given at geological map. In all investigations the primary frequency of the array was of 100 kHz, whereas the secondary frequency changed in range 5 kHz - 15 kHz. INTORDUCTION The sub-bottom reflection profiling is an essential methodology for better understanding of seafloor and its shallow subsurface on a wider scale with good detail in a most economical manner possible. This is a method whereby an acoustic impulse is directed down to the seabed from a transducer. Part of the sound wave then reflects off the seabed and it’s subsurface and returns to the transducer (transceiver) or an independent receiver. There are various types of high resolution sub-bottom profiling systems, mainly varying in energy source and receiving element, with their respective merits and demerits as well as applications. One of the most popular and widely used sub-bottom profiling system is system utilizing air gun(s) as an energy source and a separate receiving cable for recording the reflected acoustic signals.
    [Show full text]