Thermodynamic analysis of the phenomenon of hail in the North West (1992 - 2009)And providing a model for the region's instability

Abstract:
Introduction
Identify patterns and synoptic models that create instability and precipitation in the region is necessary. If the systems that come into the area, contain the appropriate thermodynamic structure, ie of high volatility, with appropriate heat and humidity make good rainfall in the region. Thunder storms along with subsidiary phenomena arising from it, such as hailstone, are one of the violent manifestations of nature. . In the North West of the country due to geographical conditions, in addition to synoptic systems (front cold low pressure systems) instability of local causes urinals (in this instability rising moist air causes rain too) and sometimes because of both the (system synoptic and local instability) heavy showers and hail occur. Thus, in the present research, in order to obtain hailstone risk management in north western part of the country and reducing damages deriving from it, the evaluation of this destructive phenomenon has been taken into consideration using instability indices.
Materials And Methods
The data used in this study included daily information related to hail of the country's North West region is 25 synoptic stations. Codes of hail (27, 90, 87, 93, 94, 96 and 99) of the 100 Code of Group VII (ww air now) were extracted from the data of listed stations. In order for detecting thermodynamic conditions of the occurrence of this phenomenon during a 18 year statistical period (1992 2009), instability indices, 230 cases of the occurrence of Skew T log P, and glacial levels of PWC, T.T, V.T, C.T, KI, SW, LI, SI hailstone atmospheric climatic diagrams of Tabriz and Kermanshah provinces’ stations to thorough covering of the region were extracted from the Wyoming University website of the United States of America and were studied.
Findings: Evaluating and comparing the instability indices of days of hail in the North West with the above table, the following conclusions emerged: the values of SI on all days of sampling except on 22 April 1994, 22 April and 29 May 2003, 27 January 2004, 19 May 2005 and 21 November 2009, about 9/73% of the days selected are larger than 4. LI values greater than zero on all days have been evaluated. It means the observed figures on the proposed figure of 100% are contrary to international indicators. SW values in all the days to the days of April 22, 1994, February 11, 2003, April 27, 2005 and November 21, 2009, about 6/82 are less than 150% of study days. Index values are less than 43 days T.T on December 18, 1993, February 11, 1997, January 16 and 6 March and 4 May 1998, 18 February 1998, 23 January and 27 April 2005, respectively. In other words, it can be noted that about 8/34% of observation days is contrary to the global indices. Days of less than 15, KI includes 30.4% of the studied days. it means on December 18, 1993, February 11 and March 8, 1997, January 16 and 6 March and 4 May 1998 and 23 January 2005, CT values of about 39% of studied days on December 18, 1993, April 22, 1994, February 11 and 3, 1997, January 16 and 6 March and 4 may 1998, 8 February 1999 and 29 may 2003 were lower. V.T index also includes amounts less than 25 days of December 18, 1993, February 11, 1997, January 16, 6 March 4, 1998, February 8, 1999, is April 4, 2002 and January 23, 2005. In other words, about 8/34% of studied days are incompatible with global indices figures.
Conclusion
The results obtained from all of the aforementioned indices were compared with the atmospheric instability standards and were evaluated. In this study, some contradictions between observatory and predicted values were discerned and finally, instability indices of the region were determined as follows: SI ≤ 20.71, LI ≤ 16.63, SW≤ 19.99, KI ≤ 14.30, CT ≤ 11.50, V.T≤ 24.70 and T.T ≤ 41.80
Moreover, it was observed that atmospheric instability of the region has aggravated in recent years, so that SI and LI indices have approached zero in the past few years and other indices have each ascended one millimeter towards their maximum thresholds. Additionally, glacial level in the hailstone days under study fluctuate between 850 to 650 Hectopascal, i.e. between the altitude of 1393 and 3788 meters, which this level increases in the hot months of the year.
Language:
Persian
Published:
Journal of of Geographical Data (SEPEHR), Volume:26 Issue: 101, 2017
Page:
183
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