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Warianty tytułu
Języki publikacji
Abstrakty
The type of precipitation is one of the factors taken into consideration when deciding on the most optimal drainage system. Drainage systems are used to prevent the landslides caused by water erosion. Rainfall affect the rate of infiltration and the intensity of surface runoff and thus the occurrence, course and effectiveness of erosion processes [1, 2, 3]. Knowledge of local precipitation trends will help to apply precautions and thus minimise the risk of adverse events such as landslides. What is more it can help more effectively manage projects risks and costs. The aim of this study was to analyse more than 30 years of data from daily rainfall measurements from the Podkarpackie Voivodeship and to check whether the occurrence of precipitation is a random event or whether it indicates long-term trends that may affect changes in ground stability. The non-parametric Mann-Kendall test and correlation test were used for the analysis.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
122--138
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
autor
- University of Zielona Góra, Faculty of Civil Engineering, Architecture and Environmental Engineering, Institute of Environmental Engineering, Zielona Góra, Poland
Bibliografia
- 1. 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.
- 2. 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).
- 3. Kunkel, K et al. 2022. Extreme Precipitation Trends and Meteorological Causes Over the Laurentian Great Lakes. Frontiers in Water 4(804799).
- 4. Kotowski, A et al. 2010. [Modeling of precipitation for sewer dimensioning],Warszawa: PAN Komitet Inżynierii Lądowej i Wodnej.
- 5. 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.
- 6. Bevacqua , E et. al 2022. Precipitation trends determine future occurrences of compound hot–dry events. Nature Climate Chan 12. 350-355.
- 7. 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.
- 8. 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.
- 9. 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.
- 10. 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.
- 11. Kubiszyn, K and Łochańska, D 2022. Do Changes of Rainfall Trends Affect Choice of Drainage Systems? Civil and Environmental Engineering Reports 4, 389-409.
- 12. Jaroń-Warszyńskiej, R et al. 2020. [State of the Environment in the Voivodeship of the Podkarpackie Voivodeship - Report 2020], Rzeszów: Główny Inspektorat Ochrony Środowiska.
- 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. Szymański, A 2007. [Ground Mechanics], Warszawa: Wydawnictwo SGGW.
- 16. 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
- 17. 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
- 18. Instytut Meteorologii i Gospodarki Wodnej – Państwowy Instytut Badawczy, [Public Data] [Online 01.08.2022]. Available: https://danepubliczne.imgw.pl/data/dane_pomiarowo_obserwacyjne/
- 19. Urban, G 2020. [Climat of Zielona Góra], Warszawa: Instytut Meteorologii i Gospodarki Wodnej − Państwowy Instytut Badawczy.
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-90250062-a6bb-4eb8-99eb-2c5e6f9b9507