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On the short-term prognosis of anticyclonic formations in vilnius by the hard cosmic ray flux variations/Trumpalaike anticiklonu formavimosi ties vilniumi prognoze pagal kietosios kosmines spinduliuotes srauto svyravimus.

1. Introduction

Currently, one of the major problems associated with external influence on the human body is an anthropogenic factor (Baltrenas et al. 2007; Styra et al. 2007a), as well as natural processes, arising from a change in solar activity, variations of the geomagnetic field, changing meteorological processes, etc. Literature extensively analyses the consequences of these impacts, causing leaps of various diseases (Chizhevskiy 1976; Stoupel 1999; Juozulynas et al. 2000; Stoupel et al. 2002; Styra et al. 2005a, 2005b, 2007b). If emission of pollutants into the environment can be reduced by using improved technology, it is virtually possible to suspend the impact of natural processes. Therefore it is necessary to be able to predict abnormal phenomena that take early action to reduce moral and material damage from these effects to minimum.

However, there are positive external effects on the environment and the human body, particularly from the weakening of solar activity and thereby reduced intensity variations of the geomagnetic field, strengthening the anticyclonic activity. Increasing atmospheric pressure and its duration for some time and decrease of cardiovascular diseases and other diseases is observed (Chizhevskiy 1976). In this period of time, a good weather usually takes place. The above described processes are connected with variation in the HCRF at the ground surface, as well as the change of weather.

When an anticyclone approaches the point of observations, in particular--Vilnius, the HCRF increase is registered mainly for 14 to 19 hours. It means that the formations of high atmospheric pressure will arrive in a few days and will remain over the observation station for some time.

However, the predictive connection between the increase of HCRF and the formation of an anticyclone as well as duration over the observation station is rather complicated, so the definition of this connection requires extensive statistical information on the experimental data. This prediction is of great practical importance, since, anticyclones bring good stable weather, and at this time there are minor variations of the geomagnetic field, which does not contribute to the deterioration of human health. On the other hand, a negative impact on people is possible, especially in a summer period during the formation of hot weather conditions that may adversely affect people suffering from a cardiovascular pathology.

On the day of observations between HCRF and high atmospheric pressure an inverse correlation was observed. It is a quite natural phenomenon, since the thickness of air layer increases and raises the absorption of cosmic particles coming to the ground surface.

Only a secondary cosmic radiation is registered, which consists of muons mainly at the ground surface (Ziegler 1998; Styra 2004). The maximum concentration of these particles is approximately at the altitude of 15 km (Ziegler 1998). Because of the relatively short lifetime of muons (2 us), they cannot reach the ground surface from that height, so at the ground surface only those particles are registered that are formed in the lower atmosphere. Layers of air existing closer to the ground surface have a higher density, which has an additional impact on HCRF and its change near the ground surface. Moving air mass is accompanied not only by changing atmospheric pressure, but also a change in temperature, humidity and other parameters that also affect the human body (Lupo 1998; Huth et al. 2008).

It should be noted that before the arrival of pressure formations to the observation station, the frequent variations in the geomagnetic field are observed. Therefore, HCRF changes become a factor in determining the trend of the atmospheric pressure.

The studies conducted so far in relation to the variations of HCRF, predicting the decrease of atmospheric pressure, i.e. the arrival of cyclones to the observation point (Styro 1984, 1988; Styra et al. 2008). However, the application of the same criteria and time intervals, which were used to predict atmospheric pressure decrease by HCRF variations (Styra et al. 2008) had negative results in predicting the pressure increase. It is found that HCRF increase in the time interval of 8-13 h doesn't predict the atmospheric pressure increase in some days. This connection was discovered empirically in the time range of 14-19 h, using other criteria for processing of experimental information.

This method of experimental data processing was different, as compared with the forecast of occurrence of cyclonic activity over the observation station and variations of HCRF. Consequently, the purpose of this study is to determine the prognostic connection between an increase of HCRF and an increase of atmospheric pressure in a few days in Vilnius, as well as the possible duration of anticyclone-stay over the observation station.

2. Measurement methods

Measurements of HCRF were carried out by gamma spectrometer with scintillation detector NaI(Tl) (Styra 2008). The detector was placed into a lead reservoir, which was additionally surrounded by a lead protection. The total thickness of the protection was 12 cm, which completely absorbs the soft component of cosmic radiation. The majority of the hard cosmic rays are muons, which are penetrating the lead protection cause light flashes in the crystal NaI(Tl). Further, the quanta of light in the impulse analyzer are distributed by energies and are registered on a computer. Measurements of HCRF were carried out continuously and measured every 15 minutes. Meteorological data was obtained from the Hydrometeorological Service of Lithuania.

In these studies, the predictive connection between an increase of HCRF and atmospheric pressure in a few days was found in the energy range of 1.2-1.6 MeV, i.e. the attempt to implement a short-term forecast of anticyclonic activity and the pressure increase in cyclonic formations was carried out.

For the practical realization of this task, the time range of 14-19 hours was chosen. This range was divided into hourly intervals of 14-15, 15-16, 16-17, 17-18, and 18-19 h. The measurements of the HCRF course and difference analysis of obtained results (in the present day minus the previous) were carried out in above mentioned time intervals. The criteria of HCRF values were proposed: the number of impulse differences in one time interval must be over 15 imp/h, while their sum in all time intervals must exceed 40 or 50 imp/h. Predicting atmospheric pressure increase, the initial meteorological situation has to be taken into account.

If the forecast of atmospheric pressure occurs under normal weather conditions, the predicted anticyclone over the observation station will occur in 4-5 days. However, anticyclone can stay for a relatively long time over the observation point. In this case, according to proposed criteria, the registered positive signals of HCRF predict the duration of this situation for additional 2-3 days.

In this investigation, over 700 000 measurement results of HCRF were processed. Values of atmospheric pressure corresponded to the daily average. Predicting increase of atmospheric pressure, the present pressure in observation station was taken into account.

3. Results

Near the ground surface, HCRF continuously varies and at a relatively calm situation, these variations do not deviate from certain values. However, due to external influence, HCRF values can exceed this limit and its deviation from the mean value is possible in the direction of larger or lesser value. It is found that before the appearance of anticyclone or increase of atmospheric pressure, the HCRF increase is observed within the time range of 1419 hours. Variable HCRF values indirectly reflect the instability of the geomagnetic field, which is connected with the transfer of air masses. As far as detailed quantitative calculation of the correlation between these processes is problematic, the empirical connection only between the above mentioned parameters has a place. For the analysis of HCRF variation empirical criteria were proposed. Such a criterion could be the difference in values between a measurement result of HCRF in a certain time interval and the monthly average value or the difference between the two adjacent days in the same time interval. The first proposal is less perspective, as far as the HCRF has a seasonal course (Styro et al. 1988; Al-Dargazelli et al. 1989; Styro 1996; Kuleshova et al. 2001), which complicates the use of monthly mean value as a basis for the HCRF variations. Therefore in determining of prognostic connection between HCRF and atmospheric pressure increase, the second variant is used, i.e. the difference between the original data and the previous day in the range of energies 1.2-1.6 MeV, taking into account the above mentioned criteria.

Taking the present meteorological situation into consideration (in the absence of a cyclonic activity), the atmospheric pressure increase and anticyclones arrival to the observation point in 4-5 days was predicted using the criterion of +40 imp/h. Simultaneously, another criterion of +50 imp/h of HCRF increase was used to predict atmospheric pressure increase in 2-3 days at any meteorological situation.

The obtained results are presented in Tables 1-4.

An analysis of the presented data in the tables shows that the highest prognostic result of the atmospheric pressure increase refers to the case of the anticyclonic activity (Tables 1, 2). It is a natural fact since the development and formation of an anticyclone over the observation station takes a relatively long time (several days) and HCRF increase before 4-5 days determines the situation on the anticyclone's periphery.

The forecast of atmospheric pressure is increase at any initial meteorological situation, including cyclonic activity. The process is random, thus the correlation between changes in these parameters is lower (Tables 3, 4). The efficiency of the prognostic connection between HCRF and atmospheric pressure is an increase in anticyclonic activity increase from 62 to 72% in 2002-2005 (Tables 1, 2). This fact is possibly connected with weakening of solar activity.

Similar results, forecasting the atmospheric pressure increase for any random situations have the opposite trend, i.e. they were reducing from 67% in 2002 to 53% in 2005 (Tables 3, 4). However, there is a large number of unrealized prognostic situations, i.e. using the criteria of analysis, the increase in atmospheric pressure did not occur (Tables 1-1). The examples of anticyclone formation and their movements towards Vilnius (observation station) are presented in Figs 1-18.

Meteorological situations from 18 April 2002 till 23 April 2002 are presented in Figs 1-8.

Before the start of an atmospheric pressure increase (April 16, 2002), the signals of HCRF 45, 16, 29 imp/h were registered in time intervals of 14-15, 17-18, 1819 h, respectively. Since that time, there was a displacement of the anticyclone in the direction of the observation point, where the atmospheric pressure was increasing gradually (Figs 1-8).

[FIGURE 1 OMITTED]

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[FIGURE 8 OMITTED]

At the HCRF signal registration moment (April 16, 2002) in Vilnius, the daily average atmospheric pressure was 1011 hPa, when the low pressure area was distributed over Lithuania (Fig. 1). This air mass was gradually displaced by the anticyclone moving from the south, which blocked the low pressure area that was formed near Iceland (Figs 4-7). As the anticyclone remained for additional 2-3 days, the positive impulses of HCRF of 21, 15, 17 imp/h were registered on 19 April 2002. This anticyclone gave way to an impending western cyclone on 23 April (Fig. 8).

Another example of a similar situation is presented in Figs 9-18. Here, information on intensive increase of atmospheric pressure in Vilnius was received on 1 November 2003 during the cyclonic activity by the positive impulses of HCRF of 28 and 31 imp/h in the time intervals of 14-15 and 17-18 h, respectively (Fig. 9). Its gradual decrease was observed on 2-3 November under the influence of anticyclonic moving from the south (Figs 10, 11). It blocked the invasion of the next cyclone moving from Iceland and formed the greatest pressure (1040-1044 hPa) in Vilnius on 6-7 November. New information on continuation of anticyclonic activity for next 2-3 days was obtained on 7 November (29, 19 imp/h). Next HCRF signals of 40 and 20 imp/h on 9 November, and signals of 30 and 40 imp/h on 10 November predicted anticyclone's activity for several additional days. Thus, time of increased pressure in Vilnius amounted to 10 days (Figs 9-18). Meteorological situations from 1 November 2003 till 11 November 2003 are provided in Figs 9-18.

[FIGURE 9 OMITTED]

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[FIGURE 13 OMITTED]

[FIGURE 14 OMITTED]

[FIGURE 15 OMITTED]

[FIGURE 16 OMITTED]

[FIGURE 17 OMITTED]

[FIGURE 18 OMITTED]

4. Discussion

Any natural phenomenon can be predicted with certain accuracy. For this purpose, it is necessary to understand the information that comes at its formation. In particular, the solution of the problem of prediction of atmospheric pressure increase by HCRF variations is possible under some conditions. The problem of forecast in relation to a decrease in atmospheric pressure by HCRF variations was solved with the use of empirical criteria, i.e. from the numerical value when the investigated effect is the most clear (Styra 2004; Styra et al. 2008). A correlation between the HCRF decrease and the decrease in atmospheric pressure was found. In this case, four time intervals from 8 to 13 h. predict an effect (Styra et al. 2008). By the HCRF in each of the time intervals it was possible to predict the formation of the lowest atmospheric pressure in Vilnius in 3-6 days (Styro 1984; Styra 2004; Styra et al. 2008).

In this paper, the predictive connection between HCRF increase and atmospheric pressure increase in Vilnius (with anticyclonic activity increase) was investigated for the first time. However, the prediction method, which was used in the formation of cyclonic activity is unacceptable in this case. At first, the HCRF increase in the time range of 8-13 hours doesn't predict an atmospheric pressure increase in a few days. The empirical criteria of HCRF for the prognosis of atmospheric pressure decrease are not effective in this case. Thus, it was necessary to find another method for prediction indentifying the connection between the HCRF and atmospheric pressure increase.

Here the 14-19 h period of time was chosen and divided into five-hour time intervals. Forecast of anticyclonic activity was carried out by two or larger number time intervals, corresponding to the proposed HCRF empirical criteria.

It is known that anticyclonic formation is stable, having a low rate of translational motion (relative to the cyclone velocity), therefore to predict exactly a maximum atmospheric pressure formation in Vilnius is impossible. Therefore, this prediction is proposed extention for two days, when maximum pressure takes place.

Using two criteria of HCRF increase, it is possible to predict an atmospheric pressure increase in 2-3 and 4-5 days respectively. The results of information processing are presented in Tables 1-4.

In general, the efficiency of prediction was 53-72% for 2002-2005. However 28-17%> of forecasts turned out to be unfulfilled. This is apparently related to those situations where there is a direct transfer of anticyclones.

Sometimes, registering HCRF signals during anticyclonic activity in some cases the next anticyclone moves, but with a lower value of maximum air pressure. Therefore the result is considered as a decrease in pressure, which naturally reduces the efficiency of a forecast. Sometimes anticyclones approach Vilnius to which before 2-5 days positive HCRF signals do not observe corresponding to proposed criteria. It is possible that the used criteria of HCRF increase are not optimum. Since such comparison was conducted for the first time, the statistics for the four-year period may be insufficient for the choice of the optimal test. In addition, there are possible numbers of factors that directly influence the geomagnetic field and on the primary cosmic radiation and further - on HCRF at the ground surface. The data on the prediction of anticyclonic activity, apparently can be applied in practice in the future. In particular, weather conditions are frequent, when moving from Iceland towards Europe a cyclone lowers its speed. In such situation, errors might occur when predicting the weather in Europe upon the cyclone moving eastward or a blocking anticyclone appears in front of it, which blocks the way. In particular, these examples are shown in Figs 1-18. Unfortunately, information on the formation of blocking anticyclones by the HCRF variations is not always received. Therefore, conclusions regarding these processes can be given with a certain degree of probability, based on statistical observations.

5. Conclusions

1. A predictive connection was found between the HCRF increase in the energy range of 1.2-1.6 MeV and increase of atmospheric pressure to the maximum value in Vilnius. This connection occurs when the HCRF increase has a place in an hourly time intervals from 14 to 19 hours.

2. HCRF increase in intervals of 14-15, 15-16, 16-17, 17-18 and 18-19 h under the proposed criteria of 40 and 50 imp/h forecasts the atmospheric pressure in the observation point in 2-5 days.

3. The efficiency of short-term prognosis of anticyclonic activity in the city of Vilnius in 2002-2005 was in the range of 62 to 72% when using the criterion of HCRF increase of 40 imp/h and more. Using the criterion of 50 imp/h and more, the efficiency of the forecast of pressure increase was lower, i.e. from 53 to 67%.

4. As the anticyclonic formation prediction by HCRF variations is carried out for the first time, the proposed criteria and conclusions in this paper should be considered preliminarily.

doi: 10.3846/16486897.2011.602557

References

Al-Dargazelli, S. S.; Al-Bayati, A. H.; Jaboori, R. S. 1989. Seasonal effects on the intensity of natural background gamma radiation spectrum, Journal of Radioanalytical and Nuclear Chemistry 131(1): 223-233. doi:10.1007/BF02046625

Baltrenas, P.; Froner, K-D.; Pranskevicius, M. 2007. Investigation of seaport air dustiness and dust spread, Journal of Environmental Engineering and Landscape Management 15(1): 15-23.

Chizhevskiy, A. L. 1976. Zemnoe ekho solnechnykh bur PioKeBCKHH, A. JL 3eMHoe axo coimeHHtix 6ypt]. Moskva: Mysl. 368 p.

Huth, R.; Kysely, J.; Bochnicek, J.; Hejda, P. 2008. Solar activity affects the occurence of synoptic types over Europe, Annales Geophysicae 26: 1999-2004. doi: 10.5194/angeo-26-1999-2008

Juozulynas, A.; Styra, D.; Syrusiene, V.; Kielaite, G. 2000. On the possibility of prognosis of a leap in the number of heart and vascular diseases by hard cosmic rays flux variations, Acta Medica Lituanica 7(2): 213-216.

Kuleshova, V. P.; Pulinets, S. A.; Sazanova, E. A.; Kharchenko, A. M. 2001. Biotropnye effekty geomagnitnykh bur i ikh sezonnye variatsii [TEXT NOT REPRODUCIBLE IN ASCII] 46(5): 930-934.

Lupo, A. R.; Smith, P. J. 1998. The interactions between a mid-latitude blocking anticyclone and synoptic scale cyclones that occurred during the summer season, Monthly Weather Review 126(2): 502-515. doi: 10.1175/1520-0493(1998) 126<0502:TIBAMB>2.0.CO;2

Stoupel, E. 1999. Effect of geomagnetic activity on cardiovascular parameters, Journal of Clinical Basic Cardiology 2: 34-10. doi:10.1515/JBCPP.2002.13.1.11

Stoupel, E.; Domarkiene, S.; Radishauskas, R. Abramson, E. 2002. Sudden cardio death and geomagnetic activity: links to age, gender and agony time, Journal of Basic Clinical Pharmacology 13(1):11-19. doi:10.1007/BF01245389

Stoupel, E.; Petrauskiene, J.; Kalediene, R.; Abramson, E.; Sulkes, J. 1995. Clinical cosmobiology: the Lithuanian study, International Journal of Biometeorology 38: 199-204.

Styra, D.; Ciucelis, A.; Usovaite, A.; Damauskaite, J. 2008. On possibility of short-term prognosis of cyclonic activity after-effects in Vilnius by variation of hard cosmic ray flux, Journal of Environmental Engineering and Landscape Management 16(4): 159-167. doi:10.3846/1648-6897.2008.16.159-167

Styra, D.; Gaspariunas, J.; Kleiza, J.; Usovaite, A. 2005a. Hard cosmic ray flux variations and a leap in the number of cardiovascular disease in Vilnius in 2003, in 6th International Conference on Environmental Engineering Selected papers. Vilnius, 1: 282-286.

Styra, D.; Gaspariunas, J.; Usovaite, A.; Juozulynas, A. 2004. Peculiarities of hard cosmic radiation variations near the ground surface in accordance with geomagnetic activity changes, Journal of Environmental Engineering and Landscape Management 16(4): 159-167. doi:10.3846/1648-6897.2008.16.159-167

Styra, D.; Gaspariunas, J.; Usovaite, A.; Juozulynas, A. 2005b. On connection between hard cosmoc ray flux variation and changes cardiovascular diseases in Vilnius city, International Journal of Biometeorology 49: 267-272. doi: 10.1007/s00484-004-0230-6

Styra, D.; Morkuniene, R.; Astrauskiene, N.; Daunaraviciene, A. 2007a. Comparison and analysis of investigation results on volumetric activity of [sup.137]Cs at the Baltic Sea coast in 2003-2005, Journal of Environmental Engineering and Landscape Management 15(2): 55-60.

Styra, D.; Usovaite, A.; Damauskaite, J; Juozulynas, A.; Luksiene, A. 2007b. On connection between hard cosmic ray flux, atmospheric pressure variation and the leaps of cardiovascular diseases in Vilnius in 2002, Acta Medica Lituanica 14(3): 205-209.

Styro, D. 1996. Regularities of hard cosmic ray flux near the ground surface, Environmental Engineering 2(6): 9-11.

Styro, D. B. 1984. O predskazanii kolebaniy atmosfernogo davleniia po variatsiiam potoka zhestkogo kosmicheskogo izlucheniia [[TEXT NOT REPRODUCIBLE IN ASCII]], Fizika atmosfery [[TEXT NOT REPRODUCIBLE IN ASCII]] 9: 96-102.

Styro, D. B.; Astrauskiene, N. P. 1988. Prognoz meteorologicheskikh processov po kolebaniiam potoka zhestkogo kosmicheskogo izlucheniia [[TEXT NOT REPRODUCIBLE IN ASCII], Fizika atmosfery [[TEXT NOT REPRODUCIBLE IN ASCII]] 12: 20-30.

Ziegler, J. F. 1998. Terrestrial cosmic ray intensities, IBM Journal of Research and Development 42(1): 117-139. doi:10.1147/rd.421.0117

Dmitrijus Styro (1), Jovita Damauskait (2), Aleksej Beliajev (3)

Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania E-mails: (1) styra@vgtu.lt; (2) jovita@vgtu.lt (corresponding author); (3) aak@vgtu.lt

Submitted 11 Dec. 2009; accepted 14 Jun. 2010

Dmitrijus STYRO. Dr Habil, Prof., Dept of Physics, Vilnius Gediminas Technical University (VGTU). Doctor Habil of Natural Sciences (physics and mathematics), Sevastopol Marine Hydrophysical Institute (1984). Doctor of Natural Sciences (physics and mathematics), Vilnius University (1968). Publications: author of over 200 scientific publications. Conferences: participant of over 100 international and national conferences. Research interests: nuclear hydrophysics, radioecology and predictions of anomalous effects on the Earth.

Jovita DAMAUSKAITE. Dr, Dept of Physics, Vilnius Gediminas Technical University (VGTU), 2010. Master of ecology, VGTU, 2006. Publications: co-author of 6 research papers. Conferences: participant of 2 international and 6 national conferences. Research interests: ecology, environmental protection.

Aleksej BELIAJEV. Master of ecology, Vilnius Gediminas Technical University (VGTU), 2005. Publications: author of 1 research paper. Conferences: participant of 1 conference. Environmentalist with experience in ecological surveys and assessment of the impacts of contaminants (oil products) in water. Research interests: environmental impact assessments, environmental protection, mechanical engineering.
Table 1. The efficiency of the predictive
connection between the HCRF increase (initial
minus the previous day) in 1.2-1.6 MeV interval of
energies (criterion 40 imp-h or more in the two-
hour intervals or more) and an increase in
atmospheric pressure to a maximum value in
anticyclones in 4-5 days in 2002-2003

                           2002

Month       Number of   Realization   Non-realization
              cases       number          number

January         5            2               3
February        3            1               2
March           6            3               3
April           8            5               3
May             5            2               3
June           10            5               5
July            6            2               4
August          6            5               1
September       7            6               1
October         2            2               0
November        6            5               1
December        9            7               2
Total          73           45              28

Total, %       100          62              38

                           2003

Month       Number of   Realization   Non-realization
              cases       number          number

January         7            5               2
February        9            8               1
March          11            5               6
April           9            7               2
May             6            5               1
June            7            1               6
July            7            6               1
August         10            5               5
September       8            4               4
October        12            7               5
November       11            7               4
December       11            8               3

Total          108          68              40

Total, %       100          63              37

Table 2. The efficiency of the predictive
connection between the HCRF increase (initial
minus the previous day) in 1.2-1.6 MeV interval of
energies (criterion 40 imp-h or more in the two-
hour intervals or more) and an increase in
atmospheric pressure to a maximum value in
anticyclones in 4-5 days in 2004-2005

                           2004

Month       Number of   Realization   Non-realization
              cases       number          number

January         9            8               1
February        5            2               3
March          10            5               5
April           7            5               2
May             9            5               4
June           10            7               3
July            9            7               2
August          2            2               0
September       1            1               0
October         6            4               2
November       11            8               3
December       12            9               3

Total          91           63              28

Total, %       100          69              31

                           2005

Month       Number of   Realization   Non-realization
              cases       number          number

January         9            9               0
February        9            6               3
March          10            4               6
April           8            6               2
May             7            4               3
June            9            7               2
July            9            6               3
August          9            7               2
September       9            6               3
October         6            4               2
November       11            9               2
December        7            6               1

Total          103          74              29

Total, %       100          72              28

Table 3. The efficiency of the predictive
connection between the HCRF increase (initial
minus the previous day) in 1.2-1.6 MeV interval of
energies (criterion 50 imp-h or more in the two-
hour intervals or more) and an increase in
atmospheric pressure to a maximum value in
anticyclones in 2-3 days in 2002-2003

                           2002

Month       Number of   Realization   Non-realization
              cases       number          number

January         8            6               2
February        3            1               2
March           6            6               0
April          10            8               2
May             9            6               3
June           11            7               4
July            7            2               5
August          9            6               3
September      14           11               3
October         5            3               2
November       12            7               5
December       16           11               5

Total          110          74              36

Total, %       100          67              33

                           2003

Month       Number of   Realization   Non-realization
              cases       number          number

January        10            6               4
February       11            6               5
March          15            6               9
April          11            8               3
May             8            6               2
June           10            6               4
July            9            7               2
August         11            5               6
September       8            3               5
October        16            9               7
November       15            8               7
December       12            7               5

Total          136          77              59

Total, %       100          57              43

Table 4. The efficiency of the predictive
connection between the HCRF increase (initial
minus the previous day) in 1.2-1.6 MeV interval of
energies (criterion 50 imp-h or more in the two-
hour intervals or more) and an increase in
atmospheric pressure to a maximum value in
anticyclones in 2-3 days in 2004-2005

                           2004

Month       Number of   Realization   Non-realization
              cases       number          number

January        13            8               5
February        5            3               2
March          14           10               4
April           8            3               5
May            10            5               5
June           14            7               7
July           14            6               8
August          4            2               2
September       2            2               0
October         6            4               2
November       11            7               4
December       12           11               1

Total          113          68              45

Total, %       100          60              40

                          2005

Month        Number    Realization   Non-realization
            of cases     number          number

January        14           7               7
February       13           7               6
March          12           7               5
April          12           4               8
May            12           7               5
June           13           8               5
July           13           7               6
August         11           7               4
September      12           5               7
October        10           4               6
November       12           8               4
December       10           6               4

Total         144          77              67

Total, %      100          53              47
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Author:Styro, Dmitrijus; Damauskaite, Jovita; Beliajev, Aleksj
Publication:Journal of Environmental Engineering and Landscape Management
Article Type:Report
Geographic Code:4EXLT
Date:Sep 1, 2011
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