Seasonal Analysis of Days of Heavy Rainfall in Talesh-Anzali Basin

Document Type : Research Article

Authors

1 Ph.D of Climatology, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2 Associate Professor of Climatology, Rasht Branch, Islamic Azad University, Rasht,, Iran

3 Associate Professor of Climatology, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Abstract

Heavy Rainfall are one of natural dangers. Heavy rainfalls, directly or indirectly, affect human lives and their activities. In this study Talesh-Anzali wet land basin in the west of Guilan province has been investigated. To determine the probability of heavy rainfall events (seasonal) and the trend existence, non-parametric Men-Kendall test, to determine the probability of rainfall event 30mm Poison’s method and to identify local patterns of precipitation event IDW method have been applied. The data in this study include daily precipitation of 30mm in 20 synoptic stations in a period of 30 year (1987-2016). The results showed the trend is mainly increasing, so that the stations located in the center towards the north of the study district in every four seasons and the stations in Anzali in spring and Masoleh in three seasons of summer, autumn and winter have increasing trend, but in some cases, some stations mainly toward the south half of the area such as kasma in summer, Bashmahalleh and Rasht in winter and Ghalehroudkhan in autumn and winter have extreme decrease trend. Also, in all seasons of the year, in some stations, irregular and accidental changes are observed in the event frequency. This irregularity results from lack of continuity increase or decrease of the event frequency and rainfall or lack of rainfall of 30mm in some stations. Poison’s distribution showed that the probability of lack of event in stations with non-humid climate is so high and addition of lack of event with an event is more than 90% frequency of rainfall event 30mm. Furthermore, in the north and central stations of the region, the most possibility for different events in all seasons of the year has been recorded. In the end, the results showed Poison’s distribution has a proper evaluation of precipitation events in this region.

Keywords


References (in Persian)
Asakereh, H., (2011), Change the frequency of extreme precipitation in Zanjan, J. Geograph. Plan. 23(45), 51-66. [In Persian]
Asakereh, H., (2012), Analysis of Heavy Precipitation Trends in Zanjan City, Journal of Geography and Planning. University of Tabriz. 16(39), 73-88. [In Persian]
Asakereh, H., (2011), Fundamentals of Statistical Climatology, Zanjan University of Publishers. [In Persian]
Bahak, B., (2013). Study of the Likelihood of Climate change in Kerman Province Using Man–Kendall Method (Case Study: Kerman Station). Quarterly Geographical Journal of Territory (Sarzamin), 10(39): 65-72. [In Persian]
Farsadnia, F., Rostami Kamrod, M., & Moghadam Nia, A., (2012), Rainfall Trend Analysis of Mazandaran Province Using Regional Mann-Kendall Test, Iran-Water Resources Research Quarterly, 8(24), 60-70. [In Persian]
Janbaz Ghobadi, Gh. Mofidi, A., & Zarrin, A., (2011), Recognizing the Synoptic Patterns of Wintertime Heavy Precipitation in the Southern Coast of the Caspian Sea, Geography and Environmental Planning, 22(42), 23-40. [In Persian]
Khoshrou, A., Gandomkar, A., Hajian, A., (2015), Investigation of Night Temperature Alterations' Procedure (NTAP) in Central Iran: Mann-Kendall's Non-Parameter Method in Focus, Quarterly of Geography(Regional Planning), 5(4), 7-24. [In Persian]
Marofnejad, A., Ghasami, SH., (2017), Analysis of changes using the method of Mann-Kendall (Case Study of Four townships and Bakhtiari Province). Journal Management System, 10(37), 149-166. [In Persian]
Maryanaji, Z., Abbasi, H., (2016), Zoning of the Occurrence Probability of maximum daily precipitation In Hamedan Province, Scientific-Research Quarterly of Geographical Data (Sepehr),25(100), 89-96. [In Persian]
Mohamadi, B., (2013), Annual Trend Analysis heavy precipitation Iran. J. Geographical Researches. 28(108),163–176. [In Persian]
Mohammadi, H., Azizi, GH, Khoshahklagh, F., & Ranjbar, F., (2017), Analysis of Daily Precipitation Extreme Indices Trend in Iran, The University of Tehran¢s Scientific Journals Database, 49(1), 21-37. [In Persian]
Mozafari, Gh. A., Mazidi, A., & Fathi, Sh., (2017), Analysis and determining the threshold of extreme precipitation of Western Iran through using general extreme value distribution, J. of Water and Soil Conservation, 24( 2),109-125. [In Persian]
Nadi, M., Khalili, A., (2013), Climatic Classification of Iran by Cluster Factor Analysis Method, Iranian Journal of Soil and Water Research, University of Tehran, Article 2, Volume 44, Number 3, October-November 2013, 242-235. [In Persian]
Oji, R., Ghafarian, P., (2018), Identification and Estimation of Extreme Rainfalls of Southern Coast of the Caspian Sea Using Extreme Value Analysis Theory, Journal of Oceanography, 9(34): 39-48. [In Persian]
RamezaniGourabi, B., Soodeh Izakmehri, S., (2015), The Classification of temporal and Spatial on heavy rainfall in Gilanwith GIS, Journal of Geographical Sciences, (22), 28-41. [In Persian]
Rezaei, P., Roshani, M., Keshavarz, S., (2018), Statistical Analysis- Synoptic July Rainfall in South West Coast of the Caspian Sea, the Second National Conference on Climatology of Iran, May 9th, 2018, Ferdowsi University of Mashhad. [In Persian]
Rezaei, P., Roshani, M., (2010), Investigation of Precipitations Showery and Change Process in Guilan Province, Journal of Geographic Space, 10(30), 1-20. [In Persian]
Safarpour, F., Khoshhal Dastjerdi, J., Masoodian, A., (2020), Forecast of heavy rainfall in West of Iran According to Weather Radar Estimates Using the Z-R method, Journal of Natural Environmental Hazards, 8(22), 59-74. [In Persian]
Mofidi, A., Zarrin, A., & Janbaz Ghobadi, G., (2008), Determining the Synoptic Pattern of Winter Heavy Precipitation and it’s Comparison to Autumn Heavy Precipitation in Southern Coasts of Caspian Sea, The 1st International Conference on the Caspian Region Environmental Changes, August 24-25, 2008, University of Mazandaran, Babolsar, Iran. [In Persian]
References (in English)
Amin, M. T., Rizwan, M., & Alazba, A., (2016), A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan, Open Life Sci, 11, 432–440.
Anagnostopoulou, Ch., and Tolika, K. (2011). Extreme precipitation in Europe: statistical threshold selection based on climatological criteria, J. Theor. Appl. Climatol. 30 July, 489-479.
Barkotulla, M. A. B., (2017). Probability analysis for estimation of annual extreme rainfall. Journal of Biodiversity and Environmental Sciences, (JBES). ISSN: 2220-6arho663, 10(2), 248-253.
Jones, R., Hayley, J., Fowler, Ch., Kilsby, G., and Blenkinsop, S. (2012). An assessment of changes in seasonal and annual extreme rainfall in the UK between 1961 and 2009.J. Climatol. DOI: 10.1002/joc.3503.
Kendall, M.G., (1970), Rank Correlation Methods, 2nd Ed., New York: Hafner.
Roradeh, H., Safarrad, T., (2018). Analysis of Sea-air Temperature Difference on Regional Heavy Precipitation in the Southern Coasts of Caspian Sea during fall, Physical Geography Research Quarterly, 49(1), 71-83.
Seo, Y., Hwang, J., & Kim, B., (2017). Extreme Precipitation Frequency Analysis Using a Minimum Density Power Divergence Estimator. http://www.mdpi.com/journal/water, 9(2), 81; 1-17.
Soltani. S, Modarres. R, 2006, Classification of Spatio -Temporal Pattern of Rainfall in Iran Using A Hierarchical and Divisive Cluster Analysis, Journal of Sp.
Volume 9, Issue 25 - Serial Number 3
September 2020
Pages 17-40
  • Receive Date: 23 June 2019
  • Revise Date: 29 February 2020
  • Accept Date: 13 June 2020
  • First Publish Date: 22 September 2020
  • Publish Date: 22 September 2020