S. Kusumayudha, Banbang Prastistho, M. Zakaria, I. Rahatmawati, T. Setyaningrum
Tanjungsari district, Gunungkidul Regency, Yogyakarta Special Territory, is located in the karst geopark area of Gunungsewu, Indonesia. The area is geologically constituted of cavernous limestones, characterized by the existence of subsurface drainage. Since the Gunungsewu area was declared as one of the Unesco Global Geoparks in 2015, the tourism sector of this region has propagated rapidly. Tanjungsari district does not like to be left behind in developing the tourism sector. There are several caves in the district that have the potential to be developed for cave tourism, including Bentar Cave, Cabe Cave, Grengseng Cave, Pakubon Cave, and Tritis Cave, which have their uniqueness and attractiveness in terms of exokarst, endokarst, and legends. The development of these potential sites is expected able to improve the economic sector and welfare of the surrounding community. For the caves in Tanjungsari district competitive, the concept of development must be different from that of other places, it is cave geo-ecotourism. In connection with the matters mentioned above, studies and assessments applying engineering geological, social-economical, and agricultural investigations were conducted to explore the potential and feasibility of cave geoecotourism in the Tanjungsari area. Based on the application of cave rock mass rating (CRMR), Bentar Cave has a total score of 69 (Fair), Cabe Cave = 75 (Good), Grengseng Cave = 47 (Poor), Pakubon Cave = 81 (Good), and Tritis Cave = 79 (Good). The results of this study indicate that Bentar Cave has a value of 63.3%, Cabe Cave 50%, Grengseng Cave 66.7%, Pakubon Cave 63.3%, and Tritis Cave 73.3% feasibility or readiness if it will be developed as a geo-eco-cave tourism. Key-words: karst, geo eco-tourism, cave, rock mass rating
{"title":"ROCK MASS RATING AND FEASIBILITY ASSESSMENT OF KARST CAVE GEO-ECOTOURISM IN TANJUNGSARI DISTRICT, GUNUNGKIDUL REGENCY, YOGYAKARTA SPECIAL REGION, INDONESIA","authors":"S. Kusumayudha, Banbang Prastistho, M. Zakaria, I. Rahatmawati, T. Setyaningrum","doi":"10.21163/gt_2021.162.05","DOIUrl":"https://doi.org/10.21163/gt_2021.162.05","url":null,"abstract":"Tanjungsari district, Gunungkidul Regency, Yogyakarta Special Territory, is located in the karst geopark area of Gunungsewu, Indonesia. The area is geologically constituted of cavernous limestones, characterized by the existence of subsurface drainage. Since the Gunungsewu area was declared as one of the Unesco Global Geoparks in 2015, the tourism sector of this region has propagated rapidly. Tanjungsari district does not like to be left behind in developing the tourism sector. There are several caves in the district that have the potential to be developed for cave tourism, including Bentar Cave, Cabe Cave, Grengseng Cave, Pakubon Cave, and Tritis Cave, which have their uniqueness and attractiveness in terms of exokarst, endokarst, and legends. The development of these potential sites is expected able to improve the economic sector and welfare of the surrounding community. For the caves in Tanjungsari district competitive, the concept of development must be different from that of other places, it is cave geo-ecotourism. In connection with the matters mentioned above, studies and assessments applying engineering geological, social-economical, and agricultural investigations were conducted to explore the potential and feasibility of cave geoecotourism in the Tanjungsari area. Based on the application of cave rock mass rating (CRMR), Bentar Cave has a total score of 69 (Fair), Cabe Cave = 75 (Good), Grengseng Cave = 47 (Poor), Pakubon Cave = 81 (Good), and Tritis Cave = 79 (Good). The results of this study indicate that Bentar Cave has a value of 63.3%, Cabe Cave 50%, Grengseng Cave 66.7%, Pakubon Cave 63.3%, and Tritis Cave 73.3% feasibility or readiness if it will be developed as a geo-eco-cave tourism. Key-words: karst, geo eco-tourism, cave, rock mass rating","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67673677","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 issue of brownfields, abandoned and unused sites and buildings, is repeatedly accentuated by the experts with respect to the predominant contemporary urbanistic, environmental, economic or social approaches. Despite the fact that the issue of brownfields was scientifically discussed from various points of view, there are still some general findings that have not been fully covered and processed. One of them is the basic typology of brownfields. The aim of the paper is thus to synthesize the heterogeneous typology of brownfields into a logical and comprehensive framework that would reflect its content and classification comprehensiveness. Such synthesis of typological schemes and their objective categorization into standard classes and groups reflects the general requirements regarding the characteristics of brownfields and enables to define the individual brownfields according to a uniform method and analyze them using the standardized categories. The presented categorization of brownfields is based on the already used classification which is then extended with new groups that are unified in terms of their content. The next part of the paper is the definition of specific types of brownfields such as, for example, blackfield, bluefield or goldfield and others.
{"title":"SPECIFIC TYPES AND CATEGORIZATIONS OF BROWNFIELDS: SYNTHESIS OF INDIVIDUAL APPROACHES","authors":"Kamila Turečková","doi":"10.21163/gt_2021.162.03","DOIUrl":"https://doi.org/10.21163/gt_2021.162.03","url":null,"abstract":": The issue of brownfields, abandoned and unused sites and buildings, is repeatedly accentuated by the experts with respect to the predominant contemporary urbanistic, environmental, economic or social approaches. Despite the fact that the issue of brownfields was scientifically discussed from various points of view, there are still some general findings that have not been fully covered and processed. One of them is the basic typology of brownfields. The aim of the paper is thus to synthesize the heterogeneous typology of brownfields into a logical and comprehensive framework that would reflect its content and classification comprehensiveness. Such synthesis of typological schemes and their objective categorization into standard classes and groups reflects the general requirements regarding the characteristics of brownfields and enables to define the individual brownfields according to a uniform method and analyze them using the standardized categories. The presented categorization of brownfields is based on the already used classification which is then extended with new groups that are unified in terms of their content. The next part of the paper is the definition of specific types of brownfields such as, for example, blackfield, bluefield or goldfield and others.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47882583","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 system analysis approach has been used for assessment of the sustainability of the marine shelf ecosystem with the method of mathematical modeling on the example of the north-western shelf of the Black Sea, as the most vulnerable part of the sea to the influence of natural and anthropogenic factors. Based on numerical experiments, an analysis of ecosystem risk in dynamic phase space was performed. Results have shown that the ecosystem risk of the Black Sea shelf zone has fluctuated around baseline value over the last decade under the existing influences of natural and anthropogenic factors, but the system approaches an unstable state with an increase of the combined effects of natural and anthropogenic factors. Key-words: system analysis, ecosystem risk, marine ecosystem, mathematical modeling, ecosystem stability, Black Sea.
{"title":"ASSESSMENT OF THE BLACK SEA SHELF ECOSYSTEM SUSTAINABILITY WITH MATHEMATICAL SIMULATION METHOD","authors":"V. Komorin","doi":"10.21163/GT_2021.162.02","DOIUrl":"https://doi.org/10.21163/GT_2021.162.02","url":null,"abstract":"The system analysis approach has been used for assessment of the sustainability of the marine shelf ecosystem with the method of mathematical modeling on the example of the north-western shelf of the Black Sea, as the most vulnerable part of the sea to the influence of natural and anthropogenic factors. Based on numerical experiments, an analysis of ecosystem risk in dynamic phase space was performed. Results have shown that the ecosystem risk of the Black Sea shelf zone has fluctuated around baseline value over the last decade under the existing influences of natural and anthropogenic factors, but the system approaches an unstable state with an increase of the combined effects of natural and anthropogenic factors. Key-words: system analysis, ecosystem risk, marine ecosystem, mathematical modeling, ecosystem stability, Black Sea.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42897221","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 shifts in socio-economic development and climate conditions currently become the challenge for water resources system security in the Himalayan region. The aforesaid concern was found pertinent to the main objective of this study, which is to evaluate the combined impacts of climate and socioeconomic changes on likely future water security in the Himalayan basin, India. The future climate was projected by Multi-model Ensembles under the Representative Concentration Pathway (RCP) 4.5 scenario. Land use projection under the Shared Socioeconomic Pathway (SSP) 1 scenario was performed using Markov Chain, whose transition probabilities were derived using multi-layer perceptron neural networks. The results showed that future annual precipitation and temperature at the downstream part will increase from baseline by 5% – 10% and 1.0 o C – 1.55 o C, respectively. The land use projections showed that irrigated areas will decrease for Punjab by 10% – 30% and Haryana by 5% – 10% due to the increase in urbanisation, whereas it will be increased in Rajasthan by 12% – 18%. Consequently, the annual irrigation water demand was found to be decreased by 10% for Punjab and 5% for Haryana, while it will be increased by 13% for Rajasthan. Eventually, the obtained findings will be beneficial for planning strategies to ensure water security in the Himalayan region, in particular the Beas-Sutlej basin.
{"title":"ASSESSMENT OF POTENTIAL IMPACTS OF CLIMATE AND SOCIO-ECONOMIC CHANGES ON FUTURE WATER SECURITY IN THE HIMALAYAS, INDIA","authors":"Q. V. Dau, K. Kuntiyawichai","doi":"10.21163/GT_2021.162.01","DOIUrl":"https://doi.org/10.21163/GT_2021.162.01","url":null,"abstract":": The shifts in socio-economic development and climate conditions currently become the challenge for water resources system security in the Himalayan region. The aforesaid concern was found pertinent to the main objective of this study, which is to evaluate the combined impacts of climate and socioeconomic changes on likely future water security in the Himalayan basin, India. The future climate was projected by Multi-model Ensembles under the Representative Concentration Pathway (RCP) 4.5 scenario. Land use projection under the Shared Socioeconomic Pathway (SSP) 1 scenario was performed using Markov Chain, whose transition probabilities were derived using multi-layer perceptron neural networks. The results showed that future annual precipitation and temperature at the downstream part will increase from baseline by 5% – 10% and 1.0 o C – 1.55 o C, respectively. The land use projections showed that irrigated areas will decrease for Punjab by 10% – 30% and Haryana by 5% – 10% due to the increase in urbanisation, whereas it will be increased in Rajasthan by 12% – 18%. Consequently, the annual irrigation water demand was found to be decreased by 10% for Punjab and 5% for Haryana, while it will be increased by 13% for Rajasthan. Eventually, the obtained findings will be beneficial for planning strategies to ensure water security in the Himalayan region, in particular the Beas-Sutlej basin.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48509995","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 widespread availability of Continuosly Operating Reference Station (CORS) all over the world, allows to improve more scientific and technical studies on the use of satellite positioning techniques. The aim of this paper is to understand the effects of a GNSS CORS network geometry and differential corrections on the solutions. The analysis is carried out using ten different network configurations, with different inter-distances between the stations within GNSMART Geo++ software. The coordinates of one control point placed on the top of the Department of Engineering (University of Palermo, Italy) have been used to perform several static positioning mode test within fourthy hours. Different surveys have been performed, including four separate session tests, with acquisitions of one hour each. The analysis has been carried out using the traditional network solutions, such as the Virtual Reference Station (VRS), the Flächen Korrektur Parameter (FKP) and other two more recent techniques, which use the satellite corrections from the nearest (Near) and the farest (Far) stations. Results confirmed the great reliability of the GNSS network, with centimetre precision in terms of coordinates (North, East and Ellipsoidal Height), whether changing the geometric configuration of the network or the corrections.
{"title":"THE EFFECTS OF CORS NETWORK GEOMETRY AND DIFFERENTIAL NRTK CORRECTIONS ON GNSS SOLUTIONS","authors":"G. Dardanelli, C. Pipitone","doi":"10.21163/GT_2021.163.05","DOIUrl":"https://doi.org/10.21163/GT_2021.163.05","url":null,"abstract":": The widespread availability of Continuosly Operating Reference Station (CORS) all over the world, allows to improve more scientific and technical studies on the use of satellite positioning techniques. The aim of this paper is to understand the effects of a GNSS CORS network geometry and differential corrections on the solutions. The analysis is carried out using ten different network configurations, with different inter-distances between the stations within GNSMART Geo++ software. The coordinates of one control point placed on the top of the Department of Engineering (University of Palermo, Italy) have been used to perform several static positioning mode test within fourthy hours. Different surveys have been performed, including four separate session tests, with acquisitions of one hour each. The analysis has been carried out using the traditional network solutions, such as the Virtual Reference Station (VRS), the Flächen Korrektur Parameter (FKP) and other two more recent techniques, which use the satellite corrections from the nearest (Near) and the farest (Far) stations. Results confirmed the great reliability of the GNSS network, with centimetre precision in terms of coordinates (North, East and Ellipsoidal Height), whether changing the geometric configuration of the network or the corrections.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":"40 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67673687","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 evolution of the Wulan Delta began after the construction of the Wulan River Canal in 1892. It alters the shoreline erosion and accretion that affect the land dynamics of the coastal area. This study aims to analyze the spatio-temporal evolution of the Wulan Delta, including the shoreline and its dynamics, as well as the geomorphological processes that affect it. The shoreline change was extracted digitally from Landsat satellite images and divided into four periods, i.e., 1995-2000, 2000-2011, 2011-2015, and 2015-2020. We used the histogram thresholding method to separate the land from the sea and produce the shoreline as the interface. This research employed field check and focus group discussion for identifying the cause and impact of shoreline dynamics in the research area. The results show that land loss and accumulation over 25 years (1995-2020) are -7.16 km 2 and +6.58 km 2 , respectively. In Wulan Delta, the erosion is due to high waves and sedimentation due to mangrove planting and high sediment from the rivers. The development rates of the Wulan Delta for the period of 1995-2020 were 73,200 m 2 /year.
{"title":"SPATIO-TEMPORAL ANALYSIS OF WULAN DELTA IN INDONESIA: CHARACTERISTICS, EVOLUTION, AND CONTROLLING FACTORS","authors":"B. Septiangga, B. Mutaqin","doi":"10.21163/GT_2021.163.04","DOIUrl":"https://doi.org/10.21163/GT_2021.163.04","url":null,"abstract":": The evolution of the Wulan Delta began after the construction of the Wulan River Canal in 1892. It alters the shoreline erosion and accretion that affect the land dynamics of the coastal area. This study aims to analyze the spatio-temporal evolution of the Wulan Delta, including the shoreline and its dynamics, as well as the geomorphological processes that affect it. The shoreline change was extracted digitally from Landsat satellite images and divided into four periods, i.e., 1995-2000, 2000-2011, 2011-2015, and 2015-2020. We used the histogram thresholding method to separate the land from the sea and produce the shoreline as the interface. This research employed field check and focus group discussion for identifying the cause and impact of shoreline dynamics in the research area. The results show that land loss and accumulation over 25 years (1995-2020) are -7.16 km 2 and +6.58 km 2 , respectively. In Wulan Delta, the erosion is due to high waves and sedimentation due to mangrove planting and high sediment from the rivers. The development rates of the Wulan Delta for the period of 1995-2020 were 73,200 m 2 /year.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44775050","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}
P. Karácsony, M. Vinichenko, I. Antalík, L. Dávid, Laszlo Vasa
: Commuting, defined as daily traveling for employment purposes, has gradually grown in importance in the past decades in Eastern European countries. According to Eurostat, although the freedom of movement may have encouraged cross-border commuting in the EU, it accounted just for 0.9 % of the EU-28 workforce. Between the highest number of cross-border commuters, we can find Slovakian (147 thousand), and Hungarian (111 thousand) workers. We chose this topic because there has been a significant increase in the willingness to commute for economic reasons in recent years, and we want to explore the reasons of this. In the case of both examined countries, the inhabitants of the western regions are characterized by high willingness for cross-border commuting. Due to this reason, in own research, we conducted a questionnaire survey in the western regions of Hungary and Slovakia. The results indicate that there are similarities between Hungarian and Slovakian commuters. The regression analysis clearly showed that commuter satisfaction is most affected by the variety of jobs offered and the level of wages.
{"title":"ANALYSIS OF CROSS-BORDER COMMUTERS’ SPATIAL MOBILITY BETWEEN WESTERN REGIONS OF HUNGARY AND SLOVAKIA","authors":"P. Karácsony, M. Vinichenko, I. Antalík, L. Dávid, Laszlo Vasa","doi":"10.21163/GT_2021.161.11","DOIUrl":"https://doi.org/10.21163/GT_2021.161.11","url":null,"abstract":": Commuting, defined as daily traveling for employment purposes, has gradually grown in importance in the past decades in Eastern European countries. According to Eurostat, although the freedom of movement may have encouraged cross-border commuting in the EU, it accounted just for 0.9 % of the EU-28 workforce. Between the highest number of cross-border commuters, we can find Slovakian (147 thousand), and Hungarian (111 thousand) workers. We chose this topic because there has been a significant increase in the willingness to commute for economic reasons in recent years, and we want to explore the reasons of this. In the case of both examined countries, the inhabitants of the western regions are characterized by high willingness for cross-border commuting. Due to this reason, in own research, we conducted a questionnaire survey in the western regions of Hungary and Slovakia. The results indicate that there are similarities between Hungarian and Slovakian commuters. The regression analysis clearly showed that commuter satisfaction is most affected by the variety of jobs offered and the level of wages.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47669579","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}
C. Auntarin, P. Chunpang, W. Chokkuea, T. Laosuwan
: Climate change has worsened and has widespread impact. This is partly due to the release of greenhouse gases from human activities, which cause the greenhouse effect. This leads to the global temperature rising to an unusual level, otherwise known as global warming. This study aimed to use a split-window algorithm to retrieve the land surface temperature via Landsat-8 OLI/ TIRS data in the Roi Et province area. The research methodology included 1) separating the Landsat-8 OLI data into four types of land use, i.e. the agricultural, forest, urban and water areas and 2) the data for Landsat-8 OLI bands 4 and 5 and Landsat-8 TIRS (bands 10, 11) being analysed to retrieve the land surface temperature using a split-window algorithm. The results from the land-use separation showed that the total area of Roi Et was 8,299.46 km 2 divided into a 4,787 km 2 agricultural area, which accounted for 60.81%; a 1,555 km 2 forest area, accounting for 19.75%; a 1,212 km 2 urban area, accounting for 15.39% and a 317.44 km 2 water area, accounting for 4.03%. The land surface temperature analysis result using a split-window algorithm indicated that the average temperature of Roi Et was 34.74°C. Moreover, it was found that the land surface temperature of the urban area had the highest mean land surface temperature, followed by the forest area, the agricultural area and the water source area, respectively.
{"title":"USING A SPLIT-WINDOW ALGORITHM FOR THE RETRIEVAL OF THE LAND SURFACE TEMPERATURE VIA LANDSAT-8 OLI/TIRS","authors":"C. Auntarin, P. Chunpang, W. Chokkuea, T. Laosuwan","doi":"10.21163/GT_2021.163.03","DOIUrl":"https://doi.org/10.21163/GT_2021.163.03","url":null,"abstract":": Climate change has worsened and has widespread impact. This is partly due to the release of greenhouse gases from human activities, which cause the greenhouse effect. This leads to the global temperature rising to an unusual level, otherwise known as global warming. This study aimed to use a split-window algorithm to retrieve the land surface temperature via Landsat-8 OLI/ TIRS data in the Roi Et province area. The research methodology included 1) separating the Landsat-8 OLI data into four types of land use, i.e. the agricultural, forest, urban and water areas and 2) the data for Landsat-8 OLI bands 4 and 5 and Landsat-8 TIRS (bands 10, 11) being analysed to retrieve the land surface temperature using a split-window algorithm. The results from the land-use separation showed that the total area of Roi Et was 8,299.46 km 2 divided into a 4,787 km 2 agricultural area, which accounted for 60.81%; a 1,555 km 2 forest area, accounting for 19.75%; a 1,212 km 2 urban area, accounting for 15.39% and a 317.44 km 2 water area, accounting for 4.03%. The land surface temperature analysis result using a split-window algorithm indicated that the average temperature of Roi Et was 34.74°C. Moreover, it was found that the land surface temperature of the urban area had the highest mean land surface temperature, followed by the forest area, the agricultural area and the water source area, respectively.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43408847","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}
S. A. Eslaminezhad, Davoud Omarzadeh, M. Eftekhari, M. Akbari
: The occurrence of landslides has always been a problem in spatial planning as one of the environmental threats. The aim of the present study is to estimate the landslide sensitive areas in the Urmia Lake basin based on determining effective criteria and spatial and non-spatial data-driven models. The criteria used in this research include distance to faults, distance to roads, distance to hydrology network, land use, lithology, soil classes, Elevation, slope, aspect and Precipitation. The novelty of this study is to present new combination approaches to determine the effective criteria in landslide sensitive areas (Urmia Lake basin). In this regard, the geographically weighted regression (GWR) with exponential and bi-square kernels and artificial neural network (ANN) combined with a binary particle swarm optimization algorithm (BPSO). The best value of the fitness function (1-R2) for ANN, GWR with the exponential kernel, and GWR with bi-square kernel was obtained 0.2780, 0.07453, and 0.0022, respectively, Which indicates higher compatibility of the bi-square kernel than the other models. It was also found that the criteria used have a significant effect on the landslide sensitive zoning.
{"title":"DEVELOPMENT OF A DATA-DRIVEN MODEL TO PREDICT LANDSLIDE SENSITIVE AREAS","authors":"S. A. Eslaminezhad, Davoud Omarzadeh, M. Eftekhari, M. Akbari","doi":"10.21163/GT_2021.161.09","DOIUrl":"https://doi.org/10.21163/GT_2021.161.09","url":null,"abstract":": The occurrence of landslides has always been a problem in spatial planning as one of the environmental threats. The aim of the present study is to estimate the landslide sensitive areas in the Urmia Lake basin based on determining effective criteria and spatial and non-spatial data-driven models. The criteria used in this research include distance to faults, distance to roads, distance to hydrology network, land use, lithology, soil classes, Elevation, slope, aspect and Precipitation. The novelty of this study is to present new combination approaches to determine the effective criteria in landslide sensitive areas (Urmia Lake basin). In this regard, the geographically weighted regression (GWR) with exponential and bi-square kernels and artificial neural network (ANN) combined with a binary particle swarm optimization algorithm (BPSO). The best value of the fitness function (1-R2) for ANN, GWR with the exponential kernel, and GWR with bi-square kernel was obtained 0.2780, 0.07453, and 0.0022, respectively, Which indicates higher compatibility of the bi-square kernel than the other models. It was also found that the criteria used have a significant effect on the landslide sensitive zoning.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48148575","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 article aims at assessing satisfaction of different stakeholders (Hoteliers, Restaurants, Handicrafts Shopkeepers and Transporters) in Pushkar. Their satisfaction level is assessed with core indicators of sustainability. It is a quantitative as well as qualitative assessment based on survey research design in study area. Data was collected through 250 self-administered questionnaires which includes (40 Travel agents, 50 hoteliers, 50 Restaurants, 50 Handicrafts and Souvenir, 30 Foreign exchange agents and 30 transporters) and were analyzed by quantitative methods. Descriptive statistics (Frequencies, Percentages, Means, and Standard Deviations) and inferential statistics (t-test) was performed to assess and analyze stakeholders’ satisfaction with reference to 11 core indicators of sustainability such as: Site protection, Stress, Use Intensity, Social Impact, Developing Control, Waste Management, Planning process, Critical ecosystems, Consumer satisfaction, Local Satisfaction, Tourism Contribution to Local Economy. The results of study suggest that stakeholders have different level of satisfaction with different core indicators but on core indicators like Developmental stress, Use intensity, Developing control, Waste Management and critical ecosystem, stakeholders have low level of satisfaction. In order to develop a destination in a responsible and sustainable manner, stakeholders must have very high level of satisfaction on each core indicator of sustainability. Key-words: Stakeholders Satisfaction, Sustainable tourism, Responsible tourism, Core Indicators.
{"title":"STAKEHOLDERS’ SATISFACTION TOWARDS SUSTAINABLE TOURISM DEVELOPMENT IN PUSHKAR REGION OF RAJASTHAN","authors":"S. Gupta, S. Tiwari, M. Voda","doi":"10.21163/GT_2021.161.08","DOIUrl":"https://doi.org/10.21163/GT_2021.161.08","url":null,"abstract":"This article aims at assessing satisfaction of different stakeholders (Hoteliers, Restaurants, Handicrafts Shopkeepers and Transporters) in Pushkar. Their satisfaction level is assessed with core indicators of sustainability. It is a quantitative as well as qualitative assessment based on survey research design in study area. Data was collected through 250 self-administered questionnaires which includes (40 Travel agents, 50 hoteliers, 50 Restaurants, 50 Handicrafts and Souvenir, 30 Foreign exchange agents and 30 transporters) and were analyzed by quantitative methods. Descriptive statistics (Frequencies, Percentages, Means, and Standard Deviations) and inferential statistics (t-test) was performed to assess and analyze stakeholders’ satisfaction with reference to 11 core indicators of sustainability such as: Site protection, Stress, Use Intensity, Social Impact, Developing Control, Waste Management, Planning process, Critical ecosystems, Consumer satisfaction, Local Satisfaction, Tourism Contribution to Local Economy. The results of study suggest that stakeholders have different level of satisfaction with different core indicators but on core indicators like Developmental stress, Use intensity, Developing control, Waste Management and critical ecosystem, stakeholders have low level of satisfaction. In order to develop a destination in a responsible and sustainable manner, stakeholders must have very high level of satisfaction on each core indicator of sustainability. Key-words: Stakeholders Satisfaction, Sustainable tourism, Responsible tourism, Core Indicators.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44994694","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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