P. Konstantinov, N. Shartova, M. Varentsov, B. Revich
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 northeast 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.
{"title":"Evaluation of outdoor thermal comfort conditions in northern Russia over 30-year period: Arkhangelsk region","authors":"P. Konstantinov, N. Shartova, M. Varentsov, B. Revich","doi":"10.5937/GP24-24738","DOIUrl":"https://doi.org/10.5937/GP24-24738","url":null,"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 northeast 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.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71223953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper discusses the evaluation of regional inequalities in the V4 countries, Serbia and Croatia. The gross birth rate, the unemployment rate, the average monthly gross earnings, the gross domestic product per capita in purchasing power parity and dwellings completed per 1000 inhabitants were selected as a set of evaluation indicators and, to determine the level of regional inequalities the Gini Coefficient and the Coefficient of Variation in two variants were used - in all the counties as well as after excluding the capital cities. The integrated indicator of socio-economic status based on the above-specified indicators revealed the prevailing dichotomy of the prosperous West vs. the problematic East in the majority of the countries, the most significantly in Slovakia. This country together with Hungary recorded (mainly thanks to the significant effect of the capital city) the most significant inequalities while the less significant ones were in the Czech Republic, Serbia and Croatia. The strong effect caused by the capital city was confirmed almost in all the countries except for Poland. The level of the dependence between the socio-economic status of the countries and the level of their inequalities was confirmed only partially.
{"title":"Regional inequalities in the Visegrad Group countries, Serbia and Croatia","authors":"Radoslav Klamár, Ján Kozoň, M. Ivanova","doi":"10.5937/gp24-26038","DOIUrl":"https://doi.org/10.5937/gp24-26038","url":null,"abstract":"The paper discusses the evaluation of regional inequalities in the V4 countries, Serbia and Croatia. The gross birth rate, the unemployment rate, the average monthly gross earnings, the gross domestic product per capita in purchasing power parity and dwellings completed per 1000 inhabitants were selected as a set of evaluation indicators and, to determine the level of regional inequalities the Gini Coefficient and the Coefficient of Variation in two variants were used - in all the counties as well as after excluding the capital cities. The integrated indicator of socio-economic status based on the above-specified indicators revealed the prevailing dichotomy of the prosperous West vs. the problematic East in the majority of the countries, the most significantly in Slovakia. This country together with Hungary recorded (mainly thanks to the significant effect of the capital city) the most significant inequalities while the less significant ones were in the Czech Republic, Serbia and Croatia. The strong effect caused by the capital city was confirmed almost in all the countries except for Poland. The level of the dependence between the socio-economic status of the countries and the level of their inequalities was confirmed only partially.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71224019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the article authored by Milošević D., Dunjić J., and Stojanović V., entitled "Investigating micrometeorological differences between steppe, forest-steppe and forest environment in northern Serbia during a clear and sunny autumn day" which was published in issue 3 (vol. 24) of Geographica Pannonica journal, one of the stated formulas (Method and data section, page 180, Humidex formula) has been misspelled in the stage of technical preparation of the article. We sincerely apologize to the readers for the inconvenience. With the author's permission, in this issue we publish the corrected formula.
{"title":"Erratum: Investigating micrometeorological differences between steppe, forest-steppe and forest environment in northern Serbia during a clear and sunny autumn day (2020, vol. 24, issue 3, p. 176-186, DOI: 10.5937/gp24-25885)","authors":"Board Editorial","doi":"10.5937/gp24-30091","DOIUrl":"https://doi.org/10.5937/gp24-30091","url":null,"abstract":"In the article authored by Milošević D., Dunjić J., and Stojanović V., entitled \"Investigating micrometeorological differences between steppe, forest-steppe and forest environment in northern Serbia during a clear and sunny autumn day\" which was published in issue 3 (vol. 24) of Geographica Pannonica journal, one of the stated formulas (Method and data section, page 180, Humidex formula) has been misspelled in the stage of technical preparation of the article. We sincerely apologize to the readers for the inconvenience. With the author's permission, in this issue we publish the corrected formula.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71224120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Savenets, V. Osadchyi, A. Oreshchenko, L. Pysarenko
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 NO 2 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.
{"title":"Air quality changes in Ukraine during the April 2020 wildfire event","authors":"M. Savenets, V. Osadchyi, A. Oreshchenko, L. Pysarenko","doi":"10.5937/GP24-27436","DOIUrl":"https://doi.org/10.5937/GP24-27436","url":null,"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 NO 2 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.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71224079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zsuzsanna Szabó, A. Schlosser, Zoltán Túri, S. Szabó
Laser scanning is a promising relatively new technology of land surveying and has different contributions to research areas and practical applications. We performed a review based on query terms in the Scopus database. We determined the number of papers where the laser scanning was the technique of the survey and refined the results with the aerial (ALS) and terrestrial (TLS) laser scanning methods, and the urban and vegetation searching terms. Results showed that geosciences had a 30-40% ratio within the scientific papers using LiDAR. TLS had larger relevance related to ALS considering the total number of research papers, urban application and vegetation analysis in urban environment. We analysed the current status of the technology and discussed the underlying possible causes.
{"title":"A review of climatic and vegetation surveys in urban environment with laser scanning: A literature-based analysis","authors":"Zsuzsanna Szabó, A. Schlosser, Zoltán Túri, S. Szabó","doi":"10.5937/gp23-24675","DOIUrl":"https://doi.org/10.5937/gp23-24675","url":null,"abstract":"Laser scanning is a promising relatively new technology of land surveying and has different contributions to research areas and practical applications. We performed a review based on query terms in the Scopus database. We determined the number of papers where the laser scanning was the technique of the survey and refined the results with the aerial (ALS) and terrestrial (TLS) laser scanning methods, and the urban and vegetation searching terms. Results showed that geosciences had a 30-40% ratio within the scientific papers using LiDAR. TLS had larger relevance related to ALS considering the total number of research papers, urban application and vegetation analysis in urban environment. We analysed the current status of the technology and discussed the underlying possible causes.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71223941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study used Empirical Orthogonal Function (EOF), student t test, composite and correlation analysis techniques to investigate the inter-annual variability of March to May rainy season over Tanzania and its association atmospheric circulation anomalies. The EOF results showed that the rainfall over Tanzania during MAM season does not vary too much with the first dominant mode (EOF1) showing the variance of 22.4% of the total rainfall and that much of the rainfall being concentrated over the coast, northeastern and southern regions. It was found that during wet years, the study area was dominated by convergence at lower level which is associated with enough moisture advected by south easterlies from Indian Ocean due to the relaxation of Mascarene high (MH) over the region and westerlies from Congo basin. The rising motion at lower level was enhanced with the presence of ascending limb of Walker circulation cell over the western Indian Ocean (WIO) and the coast region. Central Pacific and east coast of Atlantic Oceans are relatively warm during wet years. Furthermore, significantly negative correlation observed between southeast Indian Ocean (SEIO) region and MAM rainfall over Tanzania at the 95% confidence level portrays that much of the regions receive high sufficient amount of rainfall when the western Indian Ocean (WIO) is relatively warmer than the SEIO. The results show that Nino 3.4 and Tropical North Atlantic (TNA) indices are strongly positively correlated with MAM rainfall over the east coast region. This study will help to improve seasonal forecasts over Tanzania.
{"title":"Inter-annual variability of March to May rainfall over Tanzania and its association with atmospheric circulation anomalies","authors":"Philemon Henry King’uza, S. Tilwebwa","doi":"10.5937/gp23-22430","DOIUrl":"https://doi.org/10.5937/gp23-22430","url":null,"abstract":"This study used Empirical Orthogonal Function (EOF), student t test, composite and correlation analysis techniques to investigate the inter-annual variability of March to May rainy season over Tanzania and its association atmospheric circulation anomalies. The EOF results showed that the rainfall over Tanzania during MAM season does not vary too much with the first dominant mode (EOF1) showing the variance of 22.4% of the total rainfall and that much of the rainfall being concentrated over the coast, northeastern and southern regions. It was found that during wet years, the study area was dominated by convergence at lower level which is associated with enough moisture advected by south easterlies from Indian Ocean due to the relaxation of Mascarene high (MH) over the region and westerlies from Congo basin. The rising motion at lower level was enhanced with the presence of ascending limb of Walker circulation cell over the western Indian Ocean (WIO) and the coast region. Central Pacific and east coast of Atlantic Oceans are relatively warm during wet years. Furthermore, significantly negative correlation observed between southeast Indian Ocean (SEIO) region and MAM rainfall over Tanzania at the 95% confidence level portrays that much of the regions receive high sufficient amount of rainfall when the western Indian Ocean (WIO) is relatively warmer than the SEIO. The results show that Nino 3.4 and Tropical North Atlantic (TNA) indices are strongly positively correlated with MAM rainfall over the east coast region. This study will help to improve seasonal forecasts over Tanzania.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71224100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anqi Liu, Qiuxia Xu, Jiahao Gao, Zhen Xu, Lingyun Han
Wind environment as an essential aspect of urban micro-climate is usually studied as an important factor affecting human wind comfort and thermal comfort in public open space. Less studied is how wind environments influence schoolyard serving for children and teenagers who are more sensitive to air temperature and air pollution. This paper presents a study using XFlow for wind speed evaluation based on CFD (Computational Fluid Dynamics) simulation, and Ecotect Analysis for thermal comfort evaluation. Choosing Nanjing Mochou Lake Primary School and Nanjing NO.13 Middle School Suojin Campus as case studies, it offers an evaluation of wind environments in these two schoolyards and surrounding open spaces. Simulation shows that improvements should be made to build better wind environments around both schools. Scenarios are developed subsequently by adjusting buildings in study areas at the scale of blocks and school buildings, proving the efficiency of improvements for a more comfortable wind environments. This study focuses on schoolyard wind environments from the standpoint of children and teenagers, suggesting that research on urban micro-climate can be expanded in multiple directions so that as many social groups in different ages as possible benefits, i.e. have healthier urban
{"title":"Improving schoolyard wind environments: Case studies in two schools in Nanjing","authors":"Anqi Liu, Qiuxia Xu, Jiahao Gao, Zhen Xu, Lingyun Han","doi":"10.5937/gp23-24183","DOIUrl":"https://doi.org/10.5937/gp23-24183","url":null,"abstract":"Wind environment as an essential aspect of urban micro-climate is usually studied as an important factor affecting human wind comfort and thermal comfort in public open space. Less studied is how wind environments influence schoolyard serving for children and teenagers who are more sensitive to air temperature and air pollution. This paper presents a study using XFlow for wind speed evaluation based on CFD (Computational Fluid Dynamics) simulation, and Ecotect Analysis for thermal comfort evaluation. Choosing Nanjing Mochou Lake Primary School and Nanjing NO.13 Middle School Suojin Campus as case studies, it offers an evaluation of wind environments in these two schoolyards and surrounding open spaces. Simulation shows that improvements should be made to build better wind environments around both schools. Scenarios are developed subsequently by adjusting buildings in study areas at the scale of blocks and school buildings, proving the efficiency of improvements for a more comfortable wind environments. This study focuses on schoolyard wind environments from the standpoint of children and teenagers, suggesting that research on urban micro-climate can be expanded in multiple directions so that as many social groups in different ages as possible benefits, i.e. have healthier urban","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71224322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Clusters and cluster initiatives are the most effective interconnection not only between companies of a particular industry but also in the wider surroundings where cooperation is the most important factor. The analysis of potential clusters provides a clear picture of the regional economy and is one of the backgrounds in formulating the economic development strategies of the regions. The main aim of this article is to propose the appropriate location of the potential tourism cluster. To achieve this, it is necessary to identify the activity of the tourism sector in the selected regions that create the conditions for cluster formation. The identification is done using quantitative cluster mapping methods - the location quotient and shift-share analysis. The main sources of the calculations are statistical data on employment published by the Statistical Office of the Slovak Republic. Comparing tourist regions has helped identify not only growing but also decreasing potential cluster organizations. The application of both methods has found that the region of Upper Považie is, with his positive dynamic development, positive location quotient values and the support of local factors, the most appropriate region for the location of the tourism cluster. The results achieved can be used in further assessments of the environment and his effectiveness for cluster creation already in the specific tourist region. In this process it is necessary to involve institutions that know the environment and can assess the importance of tourism for the region.
{"title":"Quantitative analysis of environment potential for cluster development in tourist regions of Slovak Republic","authors":"Jozef Gáll, Marek Strežo","doi":"10.5937/gp23-21375","DOIUrl":"https://doi.org/10.5937/gp23-21375","url":null,"abstract":"Clusters and cluster initiatives are the most effective interconnection not only between companies of a particular industry but also in the wider surroundings where cooperation is the most important factor. The analysis of potential clusters provides a clear picture of the regional economy and is one of the backgrounds in formulating the economic development strategies of the regions. The main aim of this article is to propose the appropriate location of the potential tourism cluster. To achieve this, it is necessary to identify the activity of the tourism sector in the selected regions that create the conditions for cluster formation. The identification is done using quantitative cluster mapping methods - the location quotient and shift-share analysis. The main sources of the calculations are statistical data on employment published by the Statistical Office of the Slovak Republic. Comparing tourist regions has helped identify not only growing but also decreasing potential cluster organizations. The application of both methods has found that the region of Upper Považie is, with his positive dynamic development, positive location quotient values and the support of local factors, the most appropriate region for the location of the tourism cluster. The results achieved can be used in further assessments of the environment and his effectiveness for cluster creation already in the specific tourist region. In this process it is necessary to involve institutions that know the environment and can assess the importance of tourism for the region.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71224051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Kranjac, Uglješa Stankov, Jakob Salom, V. Tomašević, Srđan Tomić
The European Union (EU) is giving significant financial support to member states through Common agricultural policy (CAP). The problem is that the effects of EU funds are not presented in the way that would allow wide auditorium to understand their benefits. This is very important because it explains where the money collected from the EU citizens is spent. The goal of this paper is to present a model of visualisation by using geographic information system (GIS) as an effective tool for simple analysis of administrative EU measures, taking into consideration multiple factors at once. Results gained by using GIS show that there is only 2 of 27 EU countries that present significant positive correlation between invested funds and agricultural outputs.
{"title":"GIS based model for evaluating effects of agricultural EU funds","authors":"M. Kranjac, Uglješa Stankov, Jakob Salom, V. Tomašević, Srđan Tomić","doi":"10.5937/GP23-21328","DOIUrl":"https://doi.org/10.5937/GP23-21328","url":null,"abstract":"The European Union (EU) is giving significant financial support to member states through Common agricultural policy (CAP). The problem is that the effects of EU funds are not presented in the way that would allow wide auditorium to understand their benefits. This is very important because it explains where the money collected from the EU citizens is spent. The goal of this paper is to present a model of visualisation by using geographic information system (GIS) as an effective tool for simple analysis of administrative EU measures, taking into consideration multiple factors at once. Results gained by using GIS show that there is only 2 of 27 EU countries that present significant positive correlation between invested funds and agricultural outputs.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71224044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research aims at assessing the sensitivity of the Urban Weather Generator v4.1 to the application of different mitigation strategies for the urban heat island under two climatic contexts: desert climate (Mendoza city) and tropical climate (Campinas city). Twenty-four scenarios that modify their morphologic and material parameters were simulated. The results showed that the temperature of the air predicted by the UWG model is not significantly sensitive to the changes produced by the application of different strategies in urban contexts of equal H/W aspect; however, it does show sensitivity to the variation of the H/W aspect (ΔTa ≤ 1.3°C) and the climate context. The highest performance of the UWG model was recorded on the surface temperatures of the urban envelope, with a maximum difference in surface temperature was recorded on high aspect ratio with high albedo in arid climate, (Ts of roof = 28°C).
{"title":"Thermal performance of the Urban Weather Generator model as a tool for planning sustainable urban development","authors":"Alchapar Liliana Noelia, Pezzuto Cotrim Cláudia, Correa Norma Erica, Agnese Salvati","doi":"10.5937/gp23-24254","DOIUrl":"https://doi.org/10.5937/gp23-24254","url":null,"abstract":"The research aims at assessing the sensitivity of the Urban Weather Generator v4.1 to the application of different mitigation strategies for the urban heat island under two climatic contexts: desert climate (Mendoza city) and tropical climate (Campinas city). Twenty-four scenarios that modify their morphologic and material parameters were simulated. The results showed that the temperature of the air predicted by the UWG model is not significantly sensitive to the changes produced by the application of different strategies in urban contexts of equal H/W aspect; however, it does show sensitivity to the variation of the H/W aspect (ΔTa ≤ 1.3°C) and the climate context. The highest performance of the UWG model was recorded on the surface temperatures of the urban envelope, with a maximum difference in surface temperature was recorded on high aspect ratio with high albedo in arid climate, (Ts of roof = 28°C).","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71223878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}