Urbanization and transportation have caused two critical issues in the challenge of sustainable development, particularly, challenges to sustainable mobility in the context of car dependency. This is due to all aspects of environmental, social, and economic has been continued influenced by transportation related issues. The challenges of sustainable mobility in the context of suburban areas have become aggravating situation due to massive migrations, thus Pathumthani province, represented as vicinity area of Bangkok, Thailand was selected as a case study. Data were collected from 1,998 respondents by questionnaire survey and analyzed using statistical analysis and visualization based on geographic information system, GIS application. The study results revealed that the urbanization process has led to an increase in urban development that attracts enormous migrations in searching for their opportunities (working and education trips). This phenomenon has positioned Pathumthani to serve as a supportive area for the spillover of rapid urbanization in the country's capital area which has led to the development of private car-dependent travel and public transport network, mainly concentrated in urban areas with exclusion to residents in remote areas. On the other hand, most areas sprawl with a scattered density of residential settlements, which existing transportation system development can no longer serve the continued rising travel demand as before. The findings confirmed that the current development pattern could not promptly meet the needs of suburban development, requiring the policymakers to launch an effective plan to meet appropriate transportation demands and promote good quality of travelling for the residents and commuters.
{"title":"Challenges of sustainable mobility: Context of car dependency, suburban areas in Thailand","authors":"P. Iamtrakul, S. Chayphong","doi":"10.5937/gp27-42183","DOIUrl":"https://doi.org/10.5937/gp27-42183","url":null,"abstract":"Urbanization and transportation have caused two critical issues in the challenge of sustainable development, particularly, challenges to sustainable mobility in the context of car dependency. This is due to all aspects of environmental, social, and economic has been continued influenced by transportation related issues. The challenges of sustainable mobility in the context of suburban areas have become aggravating situation due to massive migrations, thus Pathumthani province, represented as vicinity area of Bangkok, Thailand was selected as a case study. Data were collected from 1,998 respondents by questionnaire survey and analyzed using statistical analysis and visualization based on geographic information system, GIS application. The study results revealed that the urbanization process has led to an increase in urban development that attracts enormous migrations in searching for their opportunities (working and education trips). This phenomenon has positioned Pathumthani to serve as a supportive area for the spillover of rapid urbanization in the country's capital area which has led to the development of private car-dependent travel and public transport network, mainly concentrated in urban areas with exclusion to residents in remote areas. On the other hand, most areas sprawl with a scattered density of residential settlements, which existing transportation system development can no longer serve the continued rising travel demand as before. The findings confirmed that the current development pattern could not promptly meet the needs of suburban development, requiring the policymakers to launch an effective plan to meet appropriate transportation demands and promote good quality of travelling for the residents and commuters.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225305","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}
Based on the dialectical relationship between queerness and homonormativity, the aim of this paper was to outline the spatial framework of pink consumption in Croatia. Since the LGBT community is a specific and sensitive social group, qualitative research methods were used. After calculating the gay index and determining that the city of Zagreb provides the most favourable spatial context for the study of pink consumption, the interview method was used to collect qualitative data. The sample was assembled using the snowball technique (N = 14). The research revealed that there are only few pink consumption places in Zagreb, that they are not even present in all consumption systems, and that they are located in the central part of the city without exception. Although it cannot be argued that they are completely homonormative places, evidence of social exclusivity and sexual conservativism was found. Thus, it has been shown that even fundamentally inclusive places can produce normativity, which deprives them of the potential to achieve equality and emancipation of the Zagreb's LGBT community.
{"title":"Gay space is wherever I am': The outlines of pink consumption spaces in Zagreb","authors":"K. Mak, Martina Jakovčić","doi":"10.5937/gp27-42432","DOIUrl":"https://doi.org/10.5937/gp27-42432","url":null,"abstract":"Based on the dialectical relationship between queerness and homonormativity, the aim of this paper was to outline the spatial framework of pink consumption in Croatia. Since the LGBT community is a specific and sensitive social group, qualitative research methods were used. After calculating the gay index and determining that the city of Zagreb provides the most favourable spatial context for the study of pink consumption, the interview method was used to collect qualitative data. The sample was assembled using the snowball technique (N = 14). The research revealed that there are only few pink consumption places in Zagreb, that they are not even present in all consumption systems, and that they are located in the central part of the city without exception. Although it cannot be argued that they are completely homonormative places, evidence of social exclusivity and sexual conservativism was found. Thus, it has been shown that even fundamentally inclusive places can produce normativity, which deprives them of the potential to achieve equality and emancipation of the Zagreb's LGBT community.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225175","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}
To carry out an "objective" regionalization of the climate of Montenegro for the period 1961-2020, this paper used cluster analysis, which is a multivariate technique that classifies a sample of subjects (objects) based on a set of variables into a single number. Based on the results (score), several groups were separated, and similar classes (groups) were grouped into the same cluster. Annual data for mean temperature and total precipitation from 18 meteorological stations were utilized. Temperature and precipitation cluster regions were separated using three different hierarchical agglomerative methods (Unweighted Pair Group Method with Arithmetic Mean (UPGMA), Single linkage, and Ward's) and one non-hierarchical method (K-means). The Euclidean distance was used as a measure of distance for hierarchical methods, and the results were represented graphically in the form of dendrograms and thematic maps. The obtained results indicate that the singled-out temperature and precipitation cluster regions largely coincide with the established climate types in Montenegro. The cluster results further showed that the distribution of meteorological stations clearly reflects the largest part of the climatic diversity of Montenegro and indicates the spatial dimension of temperature and precipitation.
{"title":"Climatic regionalization of Montenegro by applying different methods of cluster analysis","authors":"D. Burić, J. Mihajlović, V. Ducić","doi":"10.5937/gp27-43776","DOIUrl":"https://doi.org/10.5937/gp27-43776","url":null,"abstract":"To carry out an \"objective\" regionalization of the climate of Montenegro for the period 1961-2020, this paper used cluster analysis, which is a multivariate technique that classifies a sample of subjects (objects) based on a set of variables into a single number. Based on the results (score), several groups were separated, and similar classes (groups) were grouped into the same cluster. Annual data for mean temperature and total precipitation from 18 meteorological stations were utilized. Temperature and precipitation cluster regions were separated using three different hierarchical agglomerative methods (Unweighted Pair Group Method with Arithmetic Mean (UPGMA), Single linkage, and Ward's) and one non-hierarchical method (K-means). The Euclidean distance was used as a measure of distance for hierarchical methods, and the results were represented graphically in the form of dendrograms and thematic maps. The obtained results indicate that the singled-out temperature and precipitation cluster regions largely coincide with the established climate types in Montenegro. The cluster results further showed that the distribution of meteorological stations clearly reflects the largest part of the climatic diversity of Montenegro and indicates the spatial dimension of temperature and precipitation.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225229","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}
Three different clothing thermal resistance (r cl) schemes are compared using meteorological and human data collected in Martonvásár. Model 1 is the most complex, it is energy balance based. Model 3 is the simplest, it is the UTCI-clothing model used as submodel in the UTCI (Universal Thermal Climate Index) scheme. It uses air temperature as sole input. Model 2 uses more data than model 3, the data used are the thermal insulation values of the clothing worn. Meteorological data refer to the town Martonvásár. The data were collected in the period August 9, 2016-May 23, 2018. The main result is that the r cl values obtained by model 1 differ significantly in most of the cases from the results obtained by models 3 or 2. The fact that the results of model 1 rarely match the results of model 3 or model 2 suggests that the energy balance between human body and environment is rarely achieved, merely this is the case in approximately 10 percent of the cases.
{"title":"Thermal resistance of clothing in human biometeorological models","authors":"F. Ács, Zsófia Szalkai, E. Kristóf, A. Zsákai","doi":"10.5937/gp27-40554","DOIUrl":"https://doi.org/10.5937/gp27-40554","url":null,"abstract":"Three different clothing thermal resistance (r cl) schemes are compared using meteorological and human data collected in Martonvásár. Model 1 is the most complex, it is energy balance based. Model 3 is the simplest, it is the UTCI-clothing model used as submodel in the UTCI (Universal Thermal Climate Index) scheme. It uses air temperature as sole input. Model 2 uses more data than model 3, the data used are the thermal insulation values of the clothing worn. Meteorological data refer to the town Martonvásár. The data were collected in the period August 9, 2016-May 23, 2018. The main result is that the r cl values obtained by model 1 differ significantly in most of the cases from the results obtained by models 3 or 2. The fact that the results of model 1 rarely match the results of model 3 or model 2 suggests that the energy balance between human body and environment is rarely achieved, merely this is the case in approximately 10 percent of the cases.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225050","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}
Alma Kadušić, Sabahudin Smajić, Suad Kunosic, N. Smajic
The aim of this research is to analyze the spatial distribution of the population ageing in Bosnia and Herzegovina and identify areas of the country that are particularly vulnerable to negative demographic trends. To achieve the goal of the study, data on the ageing coefficient and ageing index for the period 2013-2020 were used. The geospatial analysis of these indicators was performed using global (Global Moran's I and Getis-Ord General G) and local (Anselin Local Moran's I and Getis-Ord G*) indexes of spatial autocorrelation. The research results confirmed the clustering of both indicators. Ageing coefficient values are clustered in municipalities in western, northwestern, Eastern, and central Bosnia and Herzegovina. Ageing index values are clustered in municipalities in central, western, northwestern, and northeastern Bosnia and Herzegovina. This study provides insight into the research methods of spatial demographic trends and phenomena, and its findings can serve as a basis for future demographic research and development in Bosnia and Herzegovina.
这项研究的目的是分析波斯尼亚-黑塞哥维那人口老龄化的空间分布，并查明该国特别容易受到消极人口趋势影响的地区。为了实现研究目标，采用了2013-2020年的老龄化系数和老龄化指数数据。利用全局(global Moran’s I和Getis-Ord General G)和局部(Anselin local Moran’s I和Getis-Ord G*)空间自相关指数对这些指标进行地理空间分析。研究结果证实了这两个指标的聚类性。老龄化系数值集中在波黑西部、西北部、东部和中部的市镇。老龄化指数值集中在波黑中部、西部、西北部和东北部的城市。这项研究提供了对空间人口趋势和现象的研究方法的见解，其研究结果可作为波斯尼亚-黑塞哥维那今后人口研究和发展的基础。
{"title":"Geospatial analysis of population ageing in Bosnia and Herzegovina","authors":"Alma Kadušić, Sabahudin Smajić, Suad Kunosic, N. Smajic","doi":"10.5937/gp27-41960","DOIUrl":"https://doi.org/10.5937/gp27-41960","url":null,"abstract":"The aim of this research is to analyze the spatial distribution of the population ageing in Bosnia and Herzegovina and identify areas of the country that are particularly vulnerable to negative demographic trends. To achieve the goal of the study, data on the ageing coefficient and ageing index for the period 2013-2020 were used. The geospatial analysis of these indicators was performed using global (Global Moran's I and Getis-Ord General G) and local (Anselin Local Moran's I and Getis-Ord G*) indexes of spatial autocorrelation. The research results confirmed the clustering of both indicators. Ageing coefficient values are clustered in municipalities in western, northwestern, Eastern, and central Bosnia and Herzegovina. Ageing index values are clustered in municipalities in central, western, northwestern, and northeastern Bosnia and Herzegovina. This study provides insight into the research methods of spatial demographic trends and phenomena, and its findings can serve as a basis for future demographic research and development in Bosnia and Herzegovina.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225292","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}
Networks and network science are not new: since the middle of the 20th century, networked structures are analyzed in geography. In recent years, however, with the emergence of network science, with the availability of big data, with improved computational capabilities and new software, the knowledge and analysis of networks have improved substantially. Present paper uses network science in economical geography: it analyzes the connections between settlements in western Hungary based on the business connections of agribusinesses. For the research, we used a questionnaire asking for purchase and sales connections of the selected agribusinesses and analyzed the results from the perspective of network science. Results show that in an agribusiness network the purchase network is more complex than the selling network and that in spatial networks connected to agribusinesses not large cities, but small towns and villages play a central role.
{"title":"Networks, agriculture and geography: How business connections of agricultural enterprises shape the connection of settlements in Western Hungary","authors":"V. Szőke, László Kovács","doi":"10.5937/gp27-39849","DOIUrl":"https://doi.org/10.5937/gp27-39849","url":null,"abstract":"Networks and network science are not new: since the middle of the 20th century, networked structures are analyzed in geography. In recent years, however, with the emergence of network science, with the availability of big data, with improved computational capabilities and new software, the knowledge and analysis of networks have improved substantially. Present paper uses network science in economical geography: it analyzes the connections between settlements in western Hungary based on the business connections of agribusinesses. For the research, we used a questionnaire asking for purchase and sales connections of the selected agribusinesses and analyzed the results from the perspective of network science. Results show that in an agribusiness network the purchase network is more complex than the selling network and that in spatial networks connected to agribusinesses not large cities, but small towns and villages play a central role.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225041","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}
Mortality statistics is underlay for public health measures and action and consequently it is one of the major indicator in measures of Covid-19 impact on population. This study aim to explore excess mortality during the Covid-19 pandemic in Serbia. Excess mortality compares expected and observed number of deaths during the given period. Analysis in this paper was based on excess deaths and excess mortality rate. Data was downloaded from the national COVID-19 database and obtained from a relevant source from the Statistical Office of the Republic of Serbia. In order to provide better understanding of excess death, the excess mortality rate was calculated for the period January 2015-June 2022. For the period January 2015-February 2020, 38 months were observed without excess deaths, while in months with excess deaths, almost in all months excess mortality rate was below 12%. Since March 2020, the excess mortality rate has increased significantly, with highest values in December 2020 (91.4%), October (84.3) and November (67.8) 2021.
{"title":"Excess mortality and Covid-19 deaths: Preliminary data from Serbia and comparison with European experience","authors":"D. Arsenović","doi":"10.5937/gp27-40621","DOIUrl":"https://doi.org/10.5937/gp27-40621","url":null,"abstract":"Mortality statistics is underlay for public health measures and action and consequently it is one of the major indicator in measures of Covid-19 impact on population. This study aim to explore excess mortality during the Covid-19 pandemic in Serbia. Excess mortality compares expected and observed number of deaths during the given period. Analysis in this paper was based on excess deaths and excess mortality rate. Data was downloaded from the national COVID-19 database and obtained from a relevant source from the Statistical Office of the Republic of Serbia. In order to provide better understanding of excess death, the excess mortality rate was calculated for the period January 2015-June 2022. For the period January 2015-February 2020, 38 months were observed without excess deaths, while in months with excess deaths, almost in all months excess mortality rate was below 12%. Since March 2020, the excess mortality rate has increased significantly, with highest values in December 2020 (91.4%), October (84.3) and November (67.8) 2021.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225064","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}
Majapahit was the largest Hindu-Buddhist empire that ruled the Indonesian archipelago from the late 13th to mid-16th centuries CE. Only now there is still a lot of history surrounding the Majapahit era that has yet to be revealed. One is about how environmental factors influenced the political dynamics at that time. This study tries to discuss the influence of hydroclimate regimes using the Paleo Hydrodynamics Data Assimilation (PHYDA) product on the political history of Majapahit during the dry season, which occurs during the boreal summer. We conducted a spatial analysis of the area of drought by taking data from the Palmer Drought Severity Index (PDSI) in the Maritime Continent (MC) for six crucial episodes in the history of Majapahit, namely during the reign of Jayanegara (1309 - 1328 CE), which was marked by various political instability, the golden age of Majapahit (1309 - 1328 CE). 1350 - 1389 CE), the time of the Paregreg civil war (1405 - 1406 CE), the great famine event (ca. 1426 CE), the candrasengkala event (1478 CE), and in 1527 CE, which was marked by the complete conquest of Majapahit by the Demak sultanate. The results show statistically significant dif ferences in most of these six episodes (except during the heyday of Majapahit) against the reference period, which is the average PDSI over the entire Majapahit era (1293 - 1527 CE). In addition, we also conducted a temporal analysis linking PDSI with shif ts in the West Pacific Inter Tropical Convergence Zone (WP ITCZ) and El Niño Southern Oscillation (ENSO) represented by Niño 3.4 Sea Surface Temperature (SST). This temporal analysis results show a positive correlation between WP ITCZ - PDSI, a negative correlation between Niño 3.4 SST - PDSI and a negative correlation between ITCZ - Niño 3.4 SST. All of these correlations are statistically significant. So the probable cause of dry/wet conditions in MC during the Majapahit era was triggered by a meridional ITCZ shif t which triggered dif ferent ENSO phases through Bjerknes feedback. This preliminary study has implications as opening the way to understand the influence of environmental factors on political conditions in the Majapahit era in more detail.
{"title":"Did hydroclimate conditions contribute to the political dynamics of Majapahit?: A preliminary analysis","authors":"Sandy Herho, Katarina Herho, Raden Susanto","doi":"10.5937/gp27-44682","DOIUrl":"https://doi.org/10.5937/gp27-44682","url":null,"abstract":"Majapahit was the largest Hindu-Buddhist empire that ruled the Indonesian archipelago from the late 13th to mid-16th centuries CE. Only now there is still a lot of history surrounding the Majapahit era that has yet to be revealed. One is about how environmental factors influenced the political dynamics at that time. This study tries to discuss the influence of hydroclimate regimes using the Paleo Hydrodynamics Data Assimilation (PHYDA) product on the political history of Majapahit during the dry season, which occurs during the boreal summer. We conducted a spatial analysis of the area of drought by taking data from the Palmer Drought Severity Index (PDSI) in the Maritime Continent (MC) for six crucial episodes in the history of Majapahit, namely during the reign of Jayanegara (1309 - 1328 CE), which was marked by various political instability, the golden age of Majapahit (1309 - 1328 CE). 1350 - 1389 CE), the time of the Paregreg civil war (1405 - 1406 CE), the great famine event (ca. 1426 CE), the candrasengkala event (1478 CE), and in 1527 CE, which was marked by the complete conquest of Majapahit by the Demak sultanate. The results show statistically significant dif ferences in most of these six episodes (except during the heyday of Majapahit) against the reference period, which is the average PDSI over the entire Majapahit era (1293 - 1527 CE). In addition, we also conducted a temporal analysis linking PDSI with shif ts in the West Pacific Inter Tropical Convergence Zone (WP ITCZ) and El Niño Southern Oscillation (ENSO) represented by Niño 3.4 Sea Surface Temperature (SST). This temporal analysis results show a positive correlation between WP ITCZ - PDSI, a negative correlation between Niño 3.4 SST - PDSI and a negative correlation between ITCZ - Niño 3.4 SST. All of these correlations are statistically significant. So the probable cause of dry/wet conditions in MC during the Majapahit era was triggered by a meridional ITCZ shif t which triggered dif ferent ENSO phases through Bjerknes feedback. This preliminary study has implications as opening the way to understand the influence of environmental factors on political conditions in the Majapahit era in more detail.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136306179","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}
Luka Sabljić, Dragoslav Pavić, Stevan Savić, Davorin Bajić
The subject of the research paper is the use of remote sensing in monitoring and analyzing the impact of climate change on the occurrence of extreme precipitation, and the cause-and-effect occurrence of floods in the area of the Sana River Basin in Bosnia and Herzegovina. The goal is to process the "product" of remote sensing to identify the time intervals of occurrence of extreme precipitation, to assess their impact on water levels, and to map potential floods in space. Spatial identification of zones that are at risk of flooding is an integral part of the aforementioned goal. Precipitation monitoring was performed by processing Climate Hazards Group InfraRed Precipitation with Station Data through the Google Earth Engine platform. The observed 30-year period (1992-2022) was compared with the average precipitation for 2017, 2018 and 2019. The impact of extreme precipitation on the water level of the Sana River was analyzed. Flooding periods have been identified: February and December 2017, March 2018 and May 2019. Mapping of flooded areas was carried out by pre-processing and post-processing of Sentinel-1 radar satellite images. The total flooded area is: 710.38 ha (February 2017), 496.79 ha (December 2017), 417.86 ha (March 2018) and 422.42 ha (May 2019). Based on the identified flooded areas, a flood risk map was created on the main course of the Sana River. The research contributes to a better understanding of the changes that occur in the area under the influence of climate change, and the data presented are important for numerous practical issues in the field of water resource management and flood protection.
{"title":"Extreme precipitations and their influence on the River flood Hazards: A case study of the Sana River Basin in Bosnia and Herzegovina","authors":"Luka Sabljić, Dragoslav Pavić, Stevan Savić, Davorin Bajić","doi":"10.5937/gp27-45600","DOIUrl":"https://doi.org/10.5937/gp27-45600","url":null,"abstract":"The subject of the research paper is the use of remote sensing in monitoring and analyzing the impact of climate change on the occurrence of extreme precipitation, and the cause-and-effect occurrence of floods in the area of the Sana River Basin in Bosnia and Herzegovina. The goal is to process the \"product\" of remote sensing to identify the time intervals of occurrence of extreme precipitation, to assess their impact on water levels, and to map potential floods in space. Spatial identification of zones that are at risk of flooding is an integral part of the aforementioned goal. Precipitation monitoring was performed by processing Climate Hazards Group InfraRed Precipitation with Station Data through the Google Earth Engine platform. The observed 30-year period (1992-2022) was compared with the average precipitation for 2017, 2018 and 2019. The impact of extreme precipitation on the water level of the Sana River was analyzed. Flooding periods have been identified: February and December 2017, March 2018 and May 2019. Mapping of flooded areas was carried out by pre-processing and post-processing of Sentinel-1 radar satellite images. The total flooded area is: 710.38 ha (February 2017), 496.79 ha (December 2017), 417.86 ha (March 2018) and 422.42 ha (May 2019). Based on the identified flooded areas, a flood risk map was created on the main course of the Sana River. The research contributes to a better understanding of the changes that occur in the area under the influence of climate change, and the data presented are important for numerous practical issues in the field of water resource management and flood protection.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136306185","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}
Forests are essential in regulating climate and protecting land resources from natural disasters. In Vietnam's Dak Nong province, forest cover has changed significantly between 1989 and 2021. This study applies remote sensing and geographic information systems (GIS) approaches to detect negative changes in forest cover as well as other land cover types. The maximum likelihood classification tool was used to classify Landsat images for the years 1989, 2001, 2011, and 2021, with post-classification accuracy evaluated through kappa coefficient statistics. The potential to based classification on Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) to detect changes in forest cover compared with supervised classification was also evaluated. The land use and land cover change detection results show that the forest area decreased from 77.54% of the study area in 1989 to 33.97% in 2021, with a total forest loss of 2,953.48 km 2 and only 117.12 km 2 of newly planted forest during this period. Broadly, forest cover in the area has been severely reduced, often due to indiscriminate logging and expansion of agricultural land on the forest edge.
{"title":"Using Landsat satellite imagery for assessment and monitoring of long-term forest cover changes in Dak Nong province, Vietnam","authors":"B. Thien, V. Phuong","doi":"10.5937/gp27-41813","DOIUrl":"https://doi.org/10.5937/gp27-41813","url":null,"abstract":"Forests are essential in regulating climate and protecting land resources from natural disasters. In Vietnam's Dak Nong province, forest cover has changed significantly between 1989 and 2021. This study applies remote sensing and geographic information systems (GIS) approaches to detect negative changes in forest cover as well as other land cover types. The maximum likelihood classification tool was used to classify Landsat images for the years 1989, 2001, 2011, and 2021, with post-classification accuracy evaluated through kappa coefficient statistics. The potential to based classification on Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) to detect changes in forest cover compared with supervised classification was also evaluated. The land use and land cover change detection results show that the forest area decreased from 77.54% of the study area in 1989 to 33.97% in 2021, with a total forest loss of 2,953.48 km 2 and only 117.12 km 2 of newly planted forest during this period. Broadly, forest cover in the area has been severely reduced, often due to indiscriminate logging and expansion of agricultural land on the forest edge.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71225130","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}
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