Parametric or non-parametric: analysis of rainfall time series at a Hungarian meteorological station

Kocsis, Tímea; Anda, Angéla

doi:10.28974/idojaras.2018.2.6

Cited by 13 publications

(17 citation statements)

References 19 publications

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“…where n shows the number of alternatives, and d i shows the gap among ranks of two parameters. The coefficient of Kendall’s rank correlation ( τ ) was estimated as (Kocsis and Anda 2018 ): …”

Section: Methodsmentioning

confidence: 99%

Association between meteorological indicators and COVID-19 pandemic in Pakistan

Raza

Khan²,

Ali

et al. 2020

Environ Sci Pollut Res

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This study was designed to investigate the impact of meteorological indicators (temperature, rainfall, and humidity) on total COVID-19 cases in Pakistan, its provinces, and administrative units from March 10, 2020, to August 25, 2020. The correlation analysis showed that COVID-19 cases and temperature showed a positive correlation. It implies that the increase in COVID-19 cases was reported due to an increase in the temperature in Pakistan, its provinces, and administrative units. The generalized Poisson regression showed that the rise in the expected log count of COVID-19 cases was 0.024 times for a 1°C rise in the average temperature in Pakistan. Second, the correlation between rainfall and COVID-19 cases was negative in Pakistan. However, the regression coefficient between the expected log count of COVID-19 cases and rainfall was insignificant in Pakistan. Third, the correlation between humidity and the total COVID-19 cases was negative, which implies that the increase in humidity is beneficial to stop the transmission of COVID-19 in Pakistan, its provinces, and administrative units. The reduction in the expected log count of COVID-19 cases was 0.008 times for a 1% increase in the humidity per day in Pakistan. However, humidity and COVID-19 cases were positively correlated in Sindh province. It is required to create awareness among the general population, and the government should include the causes, symptoms, and precautions in the educational syllabus. Moreover, people should adopt the habit of hand wash, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to control the COVID-19.

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Section: Methodsmentioning

confidence: 99%

Association between meteorological indicators and COVID-19 pandemic in Pakistan

Raza

Khan²,

Ali

et al. 2020

Environ Sci Pollut Res

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show abstract

“…The mathematical expression of Spearman's rank correlation coefficient (Raza et al 2020 ) is expressed as: where n is the number of alternatives, and shows the difference between the ranks of two parameters (Raza et al 2020 ). This study also used Kendall’s rank correlation coefficient ( τ ) (Kocsis and Anda 2018 ), which was expressed as (Raza et al 2020 ): where S is the trend and D is the possible data pairs by using n datasets (Raza et al 2020 ): …”

Section: Methodsmentioning

confidence: 99%

Impact of wind speed and air pollution on COVID-19 transmission in Pakistan

Ali

Raza

Saghir

et al. 2021

Int. J. Environ. Sci. Technol.

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This study investigated the effect of wind speed and air pollution on COVID-19 from March 10, 2020, to October 04, 2020, in Pakistan. Wind speed and COVID-19 had positive correlation in Pakistan and its provinces. The inverted U-shaped dose–response curve was found for wind speed and COVID-19 in Punjab. Initially, the dose–response curve showed a positive link between wind speed and COVID-19 in Pakistan, Sindh, Khyber Pakhtunkhwa, and Islamabad Capital Territory. Later, it becomes downward sloped in Sindh, Khyber Pakhtunkhwa, and Islamabad Capital Territory. The expected log count of COVID-19 was increased by 0.113 times (Pakistan), 0.074 times (Punjab), 0.042 times (Sindh), and 0.082 times (Khyber Pakhtunkhwa) for a 1 km/h increase in the wind speed. The correlation between particulate matter and COVID-19 was positive (Pakistan, Punjab, and Islamabad Capital Territory) and negative (Sindh). The dose–response curve for particulate matter and COVID-19 had inverted U-shaped (Pakistan, Punjab, and Khyber Pakhtunkhwa) positively sloped (Islamabad Capital Territory), and negatively sloped (Sindh). The inverted U-shaped association shows that the COVID-19 initially increased due to a rise in the particulate matter but reduced when the particulate matter was above the threshold level. The particulate matter was also responsible to wear face masks and restricted mobility. The expected log count of COVID-19 cases was reduced by 0.005 times in Sindh for 1 unit increase in particulate matter. It is recommended to reduce particulate matter to control respiratory problems. The government should use media (print, electronic, social) and educational syllabus to create awareness about precautionary measures.

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“…Independent of the initial step, all trends were tested by using the non-parametric MK trend test (Mann, 1945;Kendall, 1938). The third step referred to the definition of trend magnitude determined through the trend equation (Gavrilov et al, 2016). The MICROSOFT OFFICE EXCEL program was used to determine air temperature trends.…”

Section: Methodsmentioning

confidence: 99%

“…The trend magnitude is determined by using the linear trend equation (Gavrilov et al, 2016) as follows:…”

Section: Trend Magnitudementioning

confidence: 99%

“…Earlier studies in Southeast Europe addressed the air temperature trends on regional levels (Jovanović et al, 2002;Đorđević, 2008;Unkašević and Tošić, 2013;Burić et al, 2014;Bajat et al, 2015;Tošić et al, 2016;Gavrilov et al, 2015Gavrilov et al, , 2016Gavrilov et al, , 2018Trbić, et al, 2017;Bačević et al, 2018;Popov et al, 2018b, Vukoičić et al, 2018 and dealt with aridity as an indicator of climate change in higher regions (Bačević et al, 2017;Radaković et al, 2017;Milentijević et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of air temperature trend in South and Southeast Bosnia and Herzegovina from 1961 to 2017

Papić¹,

Bačević²,

Valjarević³

et al. 2020

Időjárás

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⎯ Recent climate change has been caused by interaction of natural processes and the anthropogenic factor. In turn, it incites the pronounced natural and socioeconomic changes. It is the air temperature that plays a pertinent role in understanding the climate change problem. Southeast Europe, including Bosnia and Herzegovina (B&H), is highly relevant for the observations of regional differences in changes of air temperature regime. From the regional-geographical point of view, South and Southeast B&H cover 26.5% (13.568 km²) of B&H territory (51.209 km²). It is from south and southeast that the Mediterranean impacts from the Adriatic Sea penetrate into the defined region, which further affects the variability of climate conditions in B&H. The paper presents trends in three parameter categories: mean annual, mean maximum, and mean minimum air temperatures in the territory of South and Southeast B&H. The aim of the paper is to demonstrate the likely climate change based on air temperature trends. Methodologically, temperature trends were processed by using the Mann-Kendall trend test. For the purpose of the analysis, available data from four meteorological stations in South and Southeast B&H for a 56-year period were used. Based on the obtained results, a statistically relevant positive trend was observed in all twelve time series. According to the analyzed trends, the increase of air temperature was dominant in the target area. The application of Geographical Information System (GIS) tools indicated the presence of regional differences in air temperature distribution. An evident phenomenon is the combined impact of the orography of the region and the maritime influence. The occurring climate change affects specific social sectors, so the problem must be addressed properly. Another pertinent fact is that the climate change problem has not been adequately analyzed in the strategic documents in B&H.

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Parametric or non-parametric: analysis of rainfall time series at a Hungarian meteorological station

Cited by 13 publications

References 19 publications

Association between meteorological indicators and COVID-19 pandemic in Pakistan

Association between meteorological indicators and COVID-19 pandemic in Pakistan

Impact of wind speed and air pollution on COVID-19 transmission in Pakistan

Assessment of air temperature trend in South and Southeast Bosnia and Herzegovina from 1961 to 2017

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