Geographica Pannonica Vol.25-1
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July 23, 2026Geographica Pannonica - Volume 24, Issue 4
Volume 24, Issue 4 content (click on a plus button for more):
SPATIO-TEMPORAL VARIATIONS OF TROPOSPHERIC NITROGEN DIOXIDE IN TURKEY BASED ON SATELLITE REMOTE SENSING
Authors: Sohrab Ghaedi, Ali Shojaian
Abstract:Precipitation concentration is an important factor to assess climate hazards such as flood and availability of water resources at a regional scale. This paper investigates the spatial and temporal changes of precipitation concentration using the precipitation concentration index (PCI) in 113 stations in Iran for a duration of 30 years (1988 –2017). The results show that the mean average of the annual rainfall in Iran varies from 55 mm in the eastern and central regions (Zabol and Yazd) to 1838 mm in the southwest coast of the Caspian Sea (Bandar Anzali). The highest coefficient of variation (CV) of precipitation is related to the southeastern and southern parts of the country, whereas the lowest CV is observed in the Caspian Sea coast and northwest region. Therefore, its value is mostly a function of latitude. Precipitation concentration and its CV are also influenced by topography and reveal more homogeneity in the northern regions. The Mann-Kendall (MK) test on precipitation concentration data indicates that except for 6 stations (ascending in 2 stations and descending in 4stations), there was no significant trend in others. The stations with non-significant ascending values are located mostly in the eastern, central and western parts of the country while the non-significant descending ones can be seen in the central and northeastern regions. The results of Sen’s slope estimator are also similar to the values of the MK test.
Keywords: Precipitation concentration; Coefficient of variation; PCI trend; Sen Slope; Iran
Article info:
Received: July 03, 2020 | Revised: September 13, 2020 | Accepted: October 13, 2020
EVALUATION OF OUTDOOR THERMAL COMFORT CONDITIONS IN NORTHERN RUSSIA OVER 30-YEAR PERIOD (ARKHANGELSK REGION)
Authors: Pavel Konstantinov, Natalia Shartova, Mikhail Varentsov, Boris Revich
Abstract:The aim of the current paper is to evaluate spatial and temporal characteristics of the distribution of bioclimatic comfort within the Arkhangelsk region (Russian Federation) with two modern indices of thermal comfort: PET and UTCI. Its average values calculated for the modern climatic period (1981-2010) in the monthly mean give a clear picture of spatial heterogeneity for the warmest month (July) and for the coldest one (January). The spatial picture of both indices in July allows us to distinguish three large internal regions: the Arkhangelsk province, the continental part of the Nenets Autonomous Okrug (NAO) and Novaya Zemlya islands (NZ). Winter distribution of thermal discomfort is fundamentally different: the coldest regions (with extreme cold stress) are equally NZ and the eastern half of NAO; intermediate position is occupied by the west of the NAO and the extreme north-east of the Arkhangelsk region, the highest winter UTCI values are observed in the rest of the region. In Archangelsk-city extreme cold stress in January has repeatability 6.7%, in February – 4%, in December – 2.2%, respectively. The average number of time points during the year at which thermal stress is not observed is only 19%. Obtained results will be the basis for planning relevant health measures and providing reliable forecasts of the effects of climate change in the Arctic region.
Keywords: PET; UTCI; Thermal comfort; Arctic region; climate change
Article info:
Received: January 20, 2020 | Revised: September 22, 2020 | Accepted: September 28, 2020
THE COVARIABILITY OF SEA SURFACE TEMPERATURE AND MAM RAINFALL ON EAST AFRICA USING SINGULAR VALUE DECOMPOSITION ANALYSIS
Authors: Exavery Kisesa Makula, Marie Adolatha Umutoni, Lovina Peter Japheth, Elias Julius Lipiki, Laban Lameck Kebacho, Paul Tilwebwa Shelleph Limbu
Abstract:The study assesses the covariability of Sea Surface Temperature (SST) and March to May (MAM) rainfall variability on East Africa (EA) from 1981 to 2018. Singular Value Decomposition (SVD) analysis reveals the significant influence of SST anomalies on MAM rainfall, with covariability of 91%, 88.61%, and 82.9% for Indian, Atlantic, and the Pacific Ocean, respectively. The Indian Ocean explains the variability of rainfall to the large extent followed by the Atlantic Ocean and the Pacific Ocean. The rainfall patterns over the EA correspond to SST variability over the western, central, and eastern Indian Ocean. Likewise, the variability of SST anomalies was observed over the central, south, and north of the
Atlantic Ocean while the Pacific Ocean captured the El Nino Modoki (ENSO) like pattern in the SVD1 (SVD2). The heterogeneous correlation of Indian SST anomalies and rainfall over EA of the first (second) principal component (PC) shows a positive correlation over much of the domain (central region). The SST anomalies over the Pacific Ocean show higher correlation values with the rainfall over much of the study domain except over the southwestern highland and southern region of Tanzania. Over the Atlantic Ocean, the correlation result shows the patterns of positive (negative) values over the northern (southern) part for PC1, while PC2 depicts negative correlation values over much of the Ocean. SST anomalies over the Indian (Atlantic) Ocean are highly correlated with MAM rainfall when SST leads by 1(7) month(s). The Pacific Ocean shows a weak (strong) correlation across all (zero) lead seasons.
Keywords: SST; EA; MAM; Rainfall variability; SVD
Article info:
Received: July 18, 2020 | Revised: November 13, 2020 | Accepted: November 27, 2020
AIR QUALITY CHANGES IN UKRAINE DURING THE APRIL 2020 WILDFIRE EVENT
Authors: Mykhailo Savenets, Volodymyr Osadchyi, Andrii Oreshchenko, Larysa Pysarenko
Abstract:The paper analyzes air quality changes in Ukraine during a wildfire event in April 2020 and a dust storm episode during the 16th of April 2020. The wildfire event contained two episodes of active fires and huge pollutants’ emission: 4–14 April and 16–21 April, respectively. Using the Sentinel-5P data of CO and NO2 column number density and ground-based measurements, there was estimated air quality deterioration. Advection of polluted air masses and analysis of affected territories were made in combination with a web-based HYSPLIT model. Satellite data described air quality changes better than in-situ measurements. Data intercomparison showed better coincidence in regions that were not affected by wildfire emissions. The paper described the dust storm event based on absorbing aerosol index (AAI) data that occurred between two wildfire episodes.
Keywords: wildfire; air quality; carbon monoxide; nitrogen dioxide; dust storm; trajectory
Article info:
Received: July 18, 2020 | Revised: November 02, 2020 | Accepted: November 16, 2020
THE USE OF GEOCODING FOR HOME HEALTHCARE APPLICATION AND MANAGEMENT AN EPIDEMIC SITUATION. CASE OF COVID-19 VIRUS OUTBREAK
Authors: Ahmed Akakba, Belkacem Lahmar
Abstract: The lack of an addressing system is one of the problems of urban management in Algeria, which makes it hard to find the addresses concerned, especially in case of crisis where the decision-makers need accurate data in real-time. Like many countries, Algeria follows up the world health organization guidelines that declared the COVID-19 virus as pandemic and recommended the full quarantine and reduces the social contact as much as possible; however, these procedures weren’t enough to control the increasing number of confirmed cases, which exceeded the hospital’s capacities. To face up the outbreak of this pandemic, the Algerian health professionals decided to treat most coronavirus cases at home. This study aims to use a geocoding tool developed in C# programming language and ArcGIS Software Development Kit (SDK) to help in the epidemiological control operation in Ain Touta city and simplifies the interventions using a spatial approach. These problems are addressed by a tool to collect, analyze, store, and process archiving of the geographic data using a geodatabase server.
Keywords: Geocoding; COVID-19; quarantine; address; home healthcare
Article info:
Received: August 20, 2020 | Revised: October 21, 2020 | Accepted: November 27, 2020
ON THE PERPETUATION AND CONTESTATION OF RACIAL STIGMA: URBAN ROMA IN A DISADVANTAGED NEIGHBOURHOOD OF SZEGED
Authors: Remus Creţan, György Málovics, Boglárka Méreiné Berki
Abstract: Stigmatisation of Roma people has long received attention in the academic literature but the internalisation of stigma among segregated urban Roma has been little researched. By adopting a theoretical perspective on collective identity and (urban Roma) racial stigmatisation, this paper aims to 1) understand the broader nature of urban Roma stigmatisation maintained by the non-Roma people and among the Roma, and 2) better position the internalisation of stigma and the burden of Roma stigmatisation. The paper uses Participatory Action Research (PAR) as a research methodology, taking a disadvantaged neighbourhood of the city of Szeged, Hungary as a case study. The findings suggest that stigmatisation against urban Roma is a process which has deeply rooted historical backgrounds, and current efforts which strive for desegregation and integration of urban Roma will be difficult to implement, as stigmatisation remains in the collective mentality. The importance of this study rests on bringing all major dimensions of stigma together, highlighting what policymakers should consider when addressing them in the longer term. We argue that the existing urban policies towards the Roma people need to be readdressed, with clear power given to the voices of the Roma, particularly from institutions which aim to protect them.
Keywords: urban Roma; racial stigma; internalisation of stigma; segregation; disadvantaged neighbourhood; Szeged; Hungary
Article info:
Received: September 01, 2020 | Revised: November 02, 2020 | Accepted: November 04, 2020
CONSTRUCTING A NATION BRANDING MODEL – THE CASE OF SERBIA
Authors: Branka Novčić Korać, Aleksandra Bradić-Martinović, Branislav Miletić
Abstract:This paper aims to understand the concept and fundamental terms related to nation branding as a strategic tool for improving Serbia’s international market position, a post-communist and former Yugoslav country. The author intends to gain insight into Serbia’s current brand perception as a developing country that can find an opportunity for rebirth and parting with the legacy implementation of the nation branding concept. The quantitative research methods were applied in this paper, and the questionnaire developed for the research investigated the perception of brand Serbia by leaning on Risitano’s framework. Our analysis finds that national treasury, people, tourism and business destination were recognized as the most important points for country and nation positioning.
Keywords: nation brand; Serbia; nation branding model; tourism
Article info:
Received: September 04, 2020 | Revised: October 26, 2020 | Accepted: October 29, 2020
INVESTIGATING MICROMETEOROLOGICAL DIFFERENCES BETWEEN STEPPE, FOREST-STEPPE AND FOREST ENVIRONMENT IN NORTHERN SERBIA DURING A CLEAR AND SUNNY AUTUMN DAY
Authors: Milošević D., Dunjić J., and Stojanović V.