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Tytuł artykułu

Do Changes of Rainfall Trends Affect Choice of Drainage Systems?

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Precipitation is one of the main factors causing surface, linear and landslide erosion. Their influence on erosion processes is determined by such parameters as: precipitation frequency, amount, duration and intensity. These features affect the rate of infiltration and the intensity of surface runoff, and thus the occurrence, course and effectiveness of erosion processes [2, 3, 4]. The aim of research was to analyse the 40-years of rainfall measurements data from the Lubuskie Voivodeship and inspect whether occurring of heavy rains are random events or maybe indicate some long period trends. To analysis was used non-parametrical Mann Kendall test and correlation test. What is more the authors’ prepared a path of selecting the optimal dewatering system, where would be taken into consideration ground stability and changes in the rainfall trends. For this purpose, the paper contain short overview existing dewatering systems which are used to reducing risk of landslides.
Rocznik
Strony
389--409
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wykr.
Twórcy
  • University of Zielona Góra, Faculty of Civil Engineering, Architecture and Environmental Engineering, Institute of Environmental Engineering, Poland
  • AGH - University of Science and Technology, Faculty of Civil Engineering and Resource Management, Kraków, Poland
Bibliografia
  • 1. NOAA Natiolan Centers for Environmental Information 2020. What’s the Difference Between Weather and Climate? [Online 26.10.2020]. Available at: https://www.ncei.noaa.gov/news/weather-vs-climate.
  • 2. Lipski, C and Kostuch, R 2005. [Characteristics of soil erosion processes on the example of the catchment area of rivers in the Carpathians] Infrastruktura i Ekologia Terenów Wiejskich 3, 95-105.
  • 3. Święchowicz, J 2011. [Influence of rainfall characteristics on the occurrence of flushing on agricultural mountain slopes (Wiśnicz foothills)] Studia i Raporty IUNG - PIB 117 27(1).
  • 4. Kunkel, K et al. 2022. Extreme Precipitation Trends and Meteorological Causes Over the Laurentian Great Lakes. Frontiers in Water 4(804799).
  • 5. Kotowski, A et al. 2010. [Modeling of precipitation for sewer dimensioning],Warszawa: PAN Komitet Inżynierii Lądowej i Wodnej.
  • 6. Lorenc, H et al. 2012. [The structure of the occurrence of heavy rainfall causing threats to the society, environment and economy of Poland]. In: Lorenc, H (ed) [Natural Disasters And The Internal Security Of The Country]. Warszawa: Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy, pp. 7-32.
  • 7. Bevacqua , E et al. 2022. Precipitation trends determine future occurrences of compound hot–dry events. Nature Climate Chan 12. 350-355.
  • 8. Kaźmierszak, B, Kotowski, A and Wdowikowski, M 2014.[ Analysis of the trends of annual and seasonal changes in the amount of precipitation in the Gorba Odra basin] Ochrona Środowiska, 36(3), 49-54.
  • 9. Tichavsky R, et al. 2019. Dry Spells and Extreme Precipitation are The Main Tigger of Landslides in Central Europe Scientific Reports 9/14560, 1-10.
  • 10. Vegas-Vilarrúbia, T et al. 2022. Regional precipitation trends since 1500 CE reconstructed from calcite sublayers of a varved Mediterranean lake record (Central Pyrenees). Science of the Total Environment 826, 1-14.
  • 11. Gocic, M and Trajkovic, S 2013. Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia. Global and Planetary Change 100, 172-182.
  • 12. Urban, G 2020. [Climat of Zielona Góra], Warszawa: Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy.
  • 13. Zaiontz, C Mann-Kendall Test. Real Statistics Using Excel. [Online 25.11.2022] Available: https://www.real-statistics.com/time-series analysis/time-series-miscellaneous/mann-kendall-test/
  • 14. Nain, M and Hooda, BK 2019. Probability and Trend Analysis of Monthly Rainfall in Haryana. International Journal of Agricultural and Statistics Sciences 15(1), 221-229.
  • 15. Holliday, JK et al. 2013. Stabilisation of landslides using gravity fed siphon and electro-pneumatic pumped wells: two examples of slope stabilisation projects from the United Kongdom and Czech Republic. Slope Stability 2013: Proceedings of the 2013 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering, Perth, 981-994.
  • 16. Szymański, A 2007. [Ground Mechanics], Warszawa: Wydawnictwo SGGW.
  • 17. Państwowy Instytut Geologiczny 2022. [Geohazards Center] [Online 29.08.2022]. Available at: https://www.pgi.gov.pl/osuwiska/sopo-baza wiedzy/11881-ruchy-masowe-i-osuwisko-definicje.html
  • 18. Glapa, W and Korzeniowski, JI 2005. [Small Lexicon of Opencast Mining]. Wrocław: Wydawnictwa i Szkolenia Górnicze.
  • 19. Elfadil, ME 2018. Effect of antecedent rainfall on pore-water pressure distribution characteristics in residual soil slopes under tropical rainfall [Online 30.10.2022]. International Journal of Hydrology 2(6), 744-750. Available at: 10.15406/ijh.2018.02.00152.
  • 20. Cashman, PM and Preene, M 2013. Groundwater Lowering in Construction: a Practical Guide to Dewatering. Boca Raton: Taylor & Francis Group.
  • 21. Bosak, J, Bosak, M and Michalski, T 2008. [Effectiveness of deep drainage using the drilling method in the stabilization of landslides]. Górnictwo i Geoinżynieria 32/2, 43-58.
  • 22. Powers, JP et al. 2007. Construction Dewatering and Groundwater Control. New Methods and Applications. Hoboken: John Wiley & Sons.
  • 23. P.P.H.U. Klaudia sp. z o.o. [Wellpoints - application and the idea of operation] [Online 29.08.2022]. Available at: https://www.klaudia.eu/iglofiltry/iglofiltry-zastosowanie-i-idea funkcjonowania.
  • 24. Instytut Meteorologii i Gospodarki Wodnej – Państwowy Instytut Badawczy, [Public Data] [Online 01.08.2022]. Available: https://danepubliczne.imgw.pl/data/dane_pomiarowo_obserwacyjne/.
  • 25. Nicholson, P 2015. Soil Improvement and Ground Modification Methods. Elsevier Inc.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-138e4938-9f28-430d-a9ac-5a8839b2b932
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