Pub Date : 2022-07-31DOI: 10.23917/forgeo.v35i2.14032
Denni Iskandar, T. Sinar, I. A. Samad, A. N. Gadeng
This article aims to investigate the values of natural disaster mitigation among Acehnese Tsunami Victims. Natural disaster mitigation is an important issue for people who live in disaster-prone country such as Indonesia. Hermeneutical approach was employed in this study to reveal the values of disaster mitigation contained in the book about true story of the survivors of the Earthquake and Tsunami that occurred on December 26, 2004. The results of this research indicate that there are eighteen values of natural disaster mitigation, with details of 9 mitigation values about what to do when a tsunami occurs, 3 mitigation values about what should be avoided, and 6 mitigation values about preventive measures to reduce tsunami risk. Finally, this research reveals that these empirical facts can corroborate the theories and concepts of mitigation of the Earthquake and Tsunami disaster and also as reference to various educational context.
{"title":"The Values of Natural Disaster Mitigation in Discourse: The True Story of the Acehnese Tsunami Victims","authors":"Denni Iskandar, T. Sinar, I. A. Samad, A. N. Gadeng","doi":"10.23917/forgeo.v35i2.14032","DOIUrl":"https://doi.org/10.23917/forgeo.v35i2.14032","url":null,"abstract":"This article aims to investigate the values of natural disaster mitigation among Acehnese Tsunami Victims. Natural disaster mitigation is an important issue for people who live in disaster-prone country such as Indonesia. Hermeneutical approach was employed in this study to reveal the values of disaster mitigation contained in the book about true story of the survivors of the Earthquake and Tsunami that occurred on December 26, 2004. The results of this research indicate that there are eighteen values of natural disaster mitigation, with details of 9 mitigation values about what to do when a tsunami occurs, 3 mitigation values about what should be avoided, and 6 mitigation values about preventive measures to reduce tsunami risk. Finally, this research reveals that these empirical facts can corroborate the theories and concepts of mitigation of the Earthquake and Tsunami disaster and also as reference to various educational context.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90627966","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}
Pub Date : 2022-07-26DOI: 10.23917/forgeo.v36i1.17160
Z. Hidayah, Nur Nazilatul Rohmah, M. Wardhani
Collisions or harsh shifting of earth plates accompanied by an earthquake in the ocean would pose a potential tsunami. The coastal area in Pacitan Bay East Java faces directly to the Indian Ocean and is prone to tsunami disasters. This study aims to determine the vulnerability level of the area and the resilience of coastal communities against tsunamis. The geographic Information System (GIS) method was used in this study. This study applied weighted overlay calculation with four components: elevation, slope, and distance from the beach and the river to measure the vulnerability level. Moreover, Coastal Community Resilience (CCR) method was applied to measure the predictive response of the communities. The results indicated that most of the area in Pacitan Bay (79,70%) was categorised into high to very high vulnerable against tsunamis. The CCR results showed the low index structure design and post-disaster recovery elements.
{"title":"Coastal Vulnerability Study on Potential Impact of Tsunami and Community Resilience in Pacitan Bay East Java","authors":"Z. Hidayah, Nur Nazilatul Rohmah, M. Wardhani","doi":"10.23917/forgeo.v36i1.17160","DOIUrl":"https://doi.org/10.23917/forgeo.v36i1.17160","url":null,"abstract":"Collisions or harsh shifting of earth plates accompanied by an earthquake in the ocean would pose a potential tsunami. The coastal area in Pacitan Bay East Java faces directly to the Indian Ocean and is prone to tsunami disasters. This study aims to determine the vulnerability level of the area and the resilience of coastal communities against tsunamis. The geographic Information System (GIS) method was used in this study. This study applied weighted overlay calculation with four components: elevation, slope, and distance from the beach and the river to measure the vulnerability level. Moreover, Coastal Community Resilience (CCR) method was applied to measure the predictive response of the communities. The results indicated that most of the area in Pacitan Bay (79,70%) was categorised into high to very high vulnerable against tsunamis. The CCR results showed the low index structure design and post-disaster recovery elements.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84205623","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}
Pub Date : 2022-07-15DOI: 10.23917/forgeo.v36i1.14711
P. Wiguna, Ni Wayan Ayu Sutari, Erik Febriarta, A. L. Permatasari, I. Suherningtyas, N. A. Pulungan, Tri Tanami Sukraini, Mutiara Gani
Bali is an island situated among the Indonesian archipelago with huge potential to host mangrove forests. Using remote sensing technology advances, satellite images, such as Landsat images, might be employed to analyse mangrove forest distribution and density. This paper presents an analysis of mangrove distribution in Badung Regency and Denpasar City, Bali, as a basis for the management and conservation of mangrove ecosystems. This study used Landsat 8 OLI images and a vegetation index to analyse the mangrove forest distribution and density in this area. It started by identifying mangrove forests using the RGB 564 band and continued to distinguish between mangrove and non-mangrove objects using unsupervised classification, before analysing mangrove density using the NDVI formula. The results show that the mangrove forest area in 2020 was 1,269.20 ha, with an accuracy rate of 83%. Mangroves were found on the deepest or most curved coastline of the Benoa Bay area, on enclosed waters. This distribution follows the river network in the lower reach, which has thick deposits and is uninfluenced by large currents and waves. Based on the vegetation index analysis results, the mangrove forest area observed mainly had a moderate density, with a total area of 510.85 ha (40%), followed by high density (413.15 ha/ 33%) and low density (340.51 ha/ 27%).
{"title":"Spatial Analysis of Mangrove Distribution Using Landsat 8 Oli in Badung Regency and Denpasar City, Bali Province, Indonesia","authors":"P. Wiguna, Ni Wayan Ayu Sutari, Erik Febriarta, A. L. Permatasari, I. Suherningtyas, N. A. Pulungan, Tri Tanami Sukraini, Mutiara Gani","doi":"10.23917/forgeo.v36i1.14711","DOIUrl":"https://doi.org/10.23917/forgeo.v36i1.14711","url":null,"abstract":"Bali is an island situated among the Indonesian archipelago with huge potential to host mangrove forests. Using remote sensing technology advances, satellite images, such as Landsat images, might be employed to analyse mangrove forest distribution and density. This paper presents an analysis of mangrove distribution in Badung Regency and Denpasar City, Bali, as a basis for the management and conservation of mangrove ecosystems. This study used Landsat 8 OLI images and a vegetation index to analyse the mangrove forest distribution and density in this area. It started by identifying mangrove forests using the RGB 564 band and continued to distinguish between mangrove and non-mangrove objects using unsupervised classification, before analysing mangrove density using the NDVI formula. The results show that the mangrove forest area in 2020 was 1,269.20 ha, with an accuracy rate of 83%. Mangroves were found on the deepest or most curved coastline of the Benoa Bay area, on enclosed waters. This distribution follows the river network in the lower reach, which has thick deposits and is uninfluenced by large currents and waves. Based on the vegetation index analysis results, the mangrove forest area observed mainly had a moderate density, with a total area of 510.85 ha (40%), followed by high density (413.15 ha/ 33%) and low density (340.51 ha/ 27%).","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74790880","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}
Pub Date : 2022-02-22DOI: 10.23917/forgeo.v36i1.16333
G. Giarno, M. Munawar, Ervan Ferdiansyah, Fendy Arifianto, A. Pratiwi, Silvia Yulianti
The weather data that can be obtained through government institutions is very limited, whereas in order to increase the accuracy of weather predictions a homogeneous and dense distribution of data is needed. Therfore it is necessary to increase the data and the purpose of this research is to create a simple and effective way to encourage the number of weather observations in Indonesia through the STMKG Weather Care program. Forms that are made as easy as for respondents to understand, simple, and don't take the time. Developed using Google Form and distributed via the most popular social media today, namely WhatsApp. The test results showed that social media has the potential to be used to support voluntary weather data. The form made is sufficient so that the respondents make relatively few mistakes in terms of the main content of the form. Moreover, the mistakes that are often made by respondents include filling in ID, and typing sub-districts that require manual correction. Based on the results of voluntary observations spread in almost all provinces of Indonesia with the most incoming data coming from the provinces of Central Java and East Java. Based on the evaluation results of 4 months of testing, weather variations and their predictions can be identified with an accurate distribution, with an average accuracy of 0.79. Differences in methods used in verification may affect accuracy.
{"title":"Verification of Weather Predictions Using Voluntary Weather Observations Via WhatsApp and Google Forms During the Dry Season 2021","authors":"G. Giarno, M. Munawar, Ervan Ferdiansyah, Fendy Arifianto, A. Pratiwi, Silvia Yulianti","doi":"10.23917/forgeo.v36i1.16333","DOIUrl":"https://doi.org/10.23917/forgeo.v36i1.16333","url":null,"abstract":"The weather data that can be obtained through government institutions is very limited, whereas in order to increase the accuracy of weather predictions a homogeneous and dense distribution of data is needed. Therfore it is necessary to increase the data and the purpose of this research is to create a simple and effective way to encourage the number of weather observations in Indonesia through the STMKG Weather Care program. Forms that are made as easy as for respondents to understand, simple, and don't take the time. Developed using Google Form and distributed via the most popular social media today, namely WhatsApp. The test results showed that social media has the potential to be used to support voluntary weather data. The form made is sufficient so that the respondents make relatively few mistakes in terms of the main content of the form. Moreover, the mistakes that are often made by respondents include filling in ID, and typing sub-districts that require manual correction. Based on the results of voluntary observations spread in almost all provinces of Indonesia with the most incoming data coming from the provinces of Central Java and East Java. Based on the evaluation results of 4 months of testing, weather variations and their predictions can be identified with an accurate distribution, with an average accuracy of 0.79. Differences in methods used in verification may affect accuracy.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73707099","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}
Pub Date : 2022-02-12DOI: 10.23917/forgeo.v35i2.15968
Usman Umar Jimoh
The study examines spatial patterns of flood inundation in Lokoja, Kogi state, Nigeria. Maximum Likelihood Classifier algorithm of the supervised land use/cover classification technique was utilized. The results obtained from the analysis were used to estimate the magnitude and visualize the seasonal and spatial pattern of flood inundation event. Eight Landsat Images comprising of two sets for each year (dry and wet seasons) were acquired from the portal of United States Geological Survey (2018). The Landsat images were classified into land cover classes such as Built Up, Vegetation and Water Body. After completing the land cover classification, the area of each class was determined and converted to square kilometers and percentages for both wet and dry seasons. Based on the classification, the brown colour depicts the built-up areas, blue for water body, and green for vegetation. Finally, accuracy assessment was carried out using historical Google Earth images, informed knowledge of the area, and GPS coordinates. ArcMap 10.5 was used to produce land use/cover maps for the study period. The result overall, revealed the effect of flood inundation to be more intense on vegetation. 1.62%, 4.60%, 23.05% and 6.43% of vegetated land was lost in 1999, 2009, 2012 and 2018, respectively. Therefore, efforts to improve resilience against variable weather, flood inundation and seasonal uncertainties should be encouraged.
{"title":"Spatial and Seasonal Patterns of Flood Inundation in Lokoja, Kogi State, Nigeria","authors":"Usman Umar Jimoh","doi":"10.23917/forgeo.v35i2.15968","DOIUrl":"https://doi.org/10.23917/forgeo.v35i2.15968","url":null,"abstract":"The study examines spatial patterns of flood inundation in Lokoja, Kogi state, Nigeria. Maximum Likelihood Classifier algorithm of the supervised land use/cover classification technique was utilized. The results obtained from the analysis were used to estimate the magnitude and visualize the seasonal and spatial pattern of flood inundation event. Eight Landsat Images comprising of two sets for each year (dry and wet seasons) were acquired from the portal of United States Geological Survey (2018). The Landsat images were classified into land cover classes such as Built Up, Vegetation and Water Body. After completing the land cover classification, the area of each class was determined and converted to square kilometers and percentages for both wet and dry seasons. Based on the classification, the brown colour depicts the built-up areas, blue for water body, and green for vegetation. Finally, accuracy assessment was carried out using historical Google Earth images, informed knowledge of the area, and GPS coordinates. ArcMap 10.5 was used to produce land use/cover maps for the study period. The result overall, revealed the effect of flood inundation to be more intense on vegetation. 1.62%, 4.60%, 23.05% and 6.43% of vegetated land was lost in 1999, 2009, 2012 and 2018, respectively. Therefore, efforts to improve resilience against variable weather, flood inundation and seasonal uncertainties should be encouraged.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88683665","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}
Pub Date : 2022-02-12DOI: 10.23917/forgeo.v35i2.15855
R. Harini, Irwansyah Sukri, R. Ariani, Elya Pratiwi Isti Faroh, Hayyun Nadia, U. Kafafa
Food security is a burden to realize sustainable development in achieving the zerohunger goal. This study aimed to examine the distribution of food security levels and the factors that influence the level of food security in the Special Region of Yogyakarta. Quantitative analysis was carried out in this study based on secondary data. The method of determining food security was carried out by applying the concept of the Food Security and Vulnerability Atlas (FSVA) which consists of three food pillars, namely food availability, access, and utilization. The results proved that Gunungkidul Regency was the area with the highest score for food availability, while the lowest were Bantul and Sleman. On the pillars of food access and food utilization, the highest was in Sleman, while the lowest was in Gunungkidul. The value of food security from the highest were the City of Yogyakarta (84.47), Sleman Regency (82.37), Bantul (79, 51), Gunungkidul (79.31), and Kulon Progo (79.03). All areas in DIY are included in very good food security. Food security policies need to be directed at handling food-poor households in villages through increasing knowledge about nutrition. Meanwhile in urban areas, it can be done through expanding job opportunities and community empowerment.
{"title":"The Study of Food Security in the Special Region of Yogyakarta, Indonesia","authors":"R. Harini, Irwansyah Sukri, R. Ariani, Elya Pratiwi Isti Faroh, Hayyun Nadia, U. Kafafa","doi":"10.23917/forgeo.v35i2.15855","DOIUrl":"https://doi.org/10.23917/forgeo.v35i2.15855","url":null,"abstract":"Food security is a burden to realize sustainable development in achieving the zerohunger goal. This study aimed to examine the distribution of food security levels and the factors that influence the level of food security in the Special Region of Yogyakarta. Quantitative analysis was carried out in this study based on secondary data. The method of determining food security was carried out by applying the concept of the Food Security and Vulnerability Atlas (FSVA) which consists of three food pillars, namely food availability, access, and utilization. The results proved that Gunungkidul Regency was the area with the highest score for food availability, while the lowest were Bantul and Sleman. On the pillars of food access and food utilization, the highest was in Sleman, while the lowest was in Gunungkidul. The value of food security from the highest were the City of Yogyakarta (84.47), Sleman Regency (82.37), Bantul (79, 51), Gunungkidul (79.31), and Kulon Progo (79.03). All areas in DIY are included in very good food security. Food security policies need to be directed at handling food-poor households in villages through increasing knowledge about nutrition. Meanwhile in urban areas, it can be done through expanding job opportunities and community empowerment.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74691101","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}
Pub Date : 2022-01-01DOI: 10.23917/forgeo.v35i2.13755
A. L. Permatasari, I. Suherningtyas, Erik Febriarta, P. Wiguna
Coronavirus Disease (COVID-19) pandemic is currently being a concern in all parts of the world, including Indonesia. Yogyakarta Special Region, especially Sleman Regency, is a red zone, which is an area that has a very high transmission rate of Covid-19. Padukuhan Mancasan Kleben, is one of the hamlets located near the government center of Sleman Regency where community activity and mobility are quite high. There are many business buildings located along the main road. The purpose of this research is to analyze the vulnerability to transmission of Coronavirus Disease (COVID-19) based on building function using Analytical Hierarchy Process (AHP) and Spatial Multi Criteria Evaluation (SMCE) methods. Types of buildings as houses and store are identified using Unmanned Aerial Vehicle (UAV) image. Types of buildings used as physical variables in the analysis. Based on the result, from total of 363 buildings, there are 35 buildings that have a high level of vulnerability and 328 buildings with low vulnerability. A low level of vulnerability is found in buildings that function as shophouse. Meanwhile, the low level of vulnerability is found in buildings used as houses and public facilities. This is because during the pandemic, several public facilities in Mancasan Kleben are not yet operational. Mitigation efforts that need to be implemented are increasing awareness of ourselves and the surrounding environment. The implementation of healthy living habits by implementing CITA MAS JAJAR, avoiding crowds and not traveling if it is not too important, can help prevent the transmission of Coronavirus Disease (COVID-19)
冠状病毒病(COVID-19)大流行目前在包括印度尼西亚在内的世界各地引起关注。日惹特区，特别是Sleman摄政区是一个红色区域，这是一个Covid-19传播率非常高的地区。Padukuhan Mancasan Kleben是位于Sleman Regency政府中心附近的一个村庄，那里的社区活动和流动性相当高。沿着主干道有许多商业大楼。本研究采用层次分析法(AHP)和空间多准则评价法(SMCE)对基于构建函数的新冠肺炎(COVID-19)传播脆弱性进行分析。使用无人机(UAV)图像识别房屋和商店等建筑物的类型。在分析中用作物理变量的建筑物类型。结果表明，在363座建筑中，高易损性建筑35座，低易损性建筑328座。作为店屋的建筑物易受破坏的程度较低。与此同时，作为住宅和公共设施的建筑物的易损性较低。这是因为在大流行期间，曼卡桑克莱本的一些公共设施尚未投入使用。需要实施的缓解努力正在提高我们自己和周围环境的意识。实施CITA MAS JAJAR，避免人群，如果不是太重要就不要旅行，从而养成健康的生活习惯，有助于预防冠状病毒病(COVID-19)的传播。
{"title":"Analysis of Vulnerability to Transmission of the Covid-19 based on Building Function at Padukuhan Mancasan Kleben, Pandowoharjo, Sleman, Yogyakarta","authors":"A. L. Permatasari, I. Suherningtyas, Erik Febriarta, P. Wiguna","doi":"10.23917/forgeo.v35i2.13755","DOIUrl":"https://doi.org/10.23917/forgeo.v35i2.13755","url":null,"abstract":"Coronavirus Disease (COVID-19) pandemic is currently being a concern in all parts of the world, including Indonesia. Yogyakarta Special Region, especially Sleman Regency, is a red zone, which is an area that has a very high transmission rate of Covid-19. Padukuhan Mancasan Kleben, is one of the hamlets located near the government center of Sleman Regency where community activity and mobility are quite high. There are many business buildings located along the main road. The purpose of this research is to analyze the vulnerability to transmission of Coronavirus Disease (COVID-19) based on building function using Analytical Hierarchy Process (AHP) and Spatial Multi Criteria Evaluation (SMCE) methods. Types of buildings as houses and store are identified using Unmanned Aerial Vehicle (UAV) image. Types of buildings used as physical variables in the analysis. Based on the result, from total of 363 buildings, there are 35 buildings that have a high level of vulnerability and 328 buildings with low vulnerability. A low level of vulnerability is found in buildings that function as shophouse. Meanwhile, the low level of vulnerability is found in buildings used as houses and public facilities. This is because during the pandemic, several public facilities in Mancasan Kleben are not yet operational. Mitigation efforts that need to be implemented are increasing awareness of ourselves and the surrounding environment. The implementation of healthy living habits by implementing CITA MAS JAJAR, avoiding crowds and not traveling if it is not too important, can help prevent the transmission of Coronavirus Disease (COVID-19)","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87274004","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}
Pub Date : 2021-12-31DOI: 10.23917/forgeo.v35i2.15741
B. Bradák, Christopher A. Gomez, Yoshinori Shinohara, N. Hotta
Internal temperature variations of pyroclastic flows and their deposits are arguably the most challenging data to acquire. As a preliminary study of the temperature variation inside pyroclastic flows, the remains of Onokoba Elementary School (Shimabara, Japan) were investigated. The elementary school is located in the close vicinity of Unzen volcano and was hit by one of the largest pyroclastic flows during the latest active period of the volcano on 15th of September 1991. This present preliminary study aims to determine the temperature exposure of various portion of the school building using field-forensic and urban geology. Natural hazard methods applied to the damaged materials exposed to high temperature have generated a temperature fingerprint the maximum temperature distribution. Charred wooden parts and plastic gutters installed on the schoolyard-side faced of the building turns out to be the most useful temperature indicators. The various deformation and alterations of the studied materials show significant differences in the temperature exposed to. Such differences on the second-floor section (between 75-110°C and 120-150°C) and on the first-floor section (above 435-557°C) of the building do not simply imply significant temperature heterogeneity in short distance (some ten to ≤100 m) inside the pyroclastic flow, but also points toward the possible effects of the building architecture on some key dynamic parameter of the pyroclastic flow. Such information may be important for planning future hazard mitigation actions.
{"title":"Forensic Profiling Analogue Approach for the Investigation of Natural Hazards – A Case Study from Onokoba Elementary School, Unzen Volcano, Japan","authors":"B. Bradák, Christopher A. Gomez, Yoshinori Shinohara, N. Hotta","doi":"10.23917/forgeo.v35i2.15741","DOIUrl":"https://doi.org/10.23917/forgeo.v35i2.15741","url":null,"abstract":"Internal temperature variations of pyroclastic flows and their deposits are arguably the most challenging data to acquire. As a preliminary study of the temperature variation inside pyroclastic flows, the remains of Onokoba Elementary School (Shimabara, Japan) were investigated. The elementary school is located in the close vicinity of Unzen volcano and was hit by one of the largest pyroclastic flows during the latest active period of the volcano on 15th of September 1991. This present preliminary study aims to determine the temperature exposure of various portion of the school building using field-forensic and urban geology. Natural hazard methods applied to the damaged materials exposed to high temperature have generated a temperature fingerprint the maximum temperature distribution. Charred wooden parts and plastic gutters installed on the schoolyard-side faced of the building turns out to be the most useful temperature indicators. The various deformation and alterations of the studied materials show significant differences in the temperature exposed to. Such differences on the second-floor section (between 75-110°C and 120-150°C) and on the first-floor section (above 435-557°C) of the building do not simply imply significant temperature heterogeneity in short distance (some ten to ≤100 m) inside the pyroclastic flow, but also points toward the possible effects of the building architecture on some key dynamic parameter of the pyroclastic flow. Such information may be important for planning future hazard mitigation actions.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75380068","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}
Pub Date : 2021-12-31DOI: 10.23917/forgeo.v35i2.14559
S. Medayese, Hangwelani Magidimisha Chipingu, L. Chipungu
The challenges which confront urban spaces in developing countries have become so enormous, and they continue to challenge the capacity of States in these countries to respond effectively. These challenges range from poor infrastructure to weak infrastructure governance systems, which has created urban liveability differentials within these Cities across Africa. Therefore, this paper examines the mediation role of Desired Quality of life between Place-making and Liveable communities in Africa using a partial least squares path analytic method. This study employed the use of a questionnaire to investigate the desired Quality of life criteria, the place-making preferences, and the focus of liveable communities within these African Cities through an online Google form survey, posted through social media outlets to different respondents across various cities in Africa. The Snowball technique was employed to achieve sampling of 390 respondents across Africa. The responses obtained were synthesized and analyzed using a path analytic approach; the paper examines the relationship between the study's constructs. The data analysis findings show that place-making indeed influences Liveable communities, and Desired Quality of life mediates the relationship between place-making and liveable communities. The results indicate that Cities that prioritize Quality of Life and place-making have better liveable community spaces over those that do not. The study findings have implications for Liveable communities, as it could help city development planners to acknowledge the influence of Quality of life on Placemaking and liveable communities. The study contributes to the current debate on measuring urban Livability within the African City Space by creating a set of desired indicators that suit the African setting's needs regarding City infrastructure planning and provision.
{"title":"Mediation Function of Desired Quality of Life Between Place-Making and Liveable Communities in African Cities","authors":"S. Medayese, Hangwelani Magidimisha Chipingu, L. Chipungu","doi":"10.23917/forgeo.v35i2.14559","DOIUrl":"https://doi.org/10.23917/forgeo.v35i2.14559","url":null,"abstract":"The challenges which confront urban spaces in developing countries have become so enormous, and they continue to challenge the capacity of States in these countries to respond effectively. These challenges range from poor infrastructure to weak infrastructure governance systems, which has created urban liveability differentials within these Cities across Africa. Therefore, this paper examines the mediation role of Desired Quality of life between Place-making and Liveable communities in Africa using a partial least squares path analytic method. This study employed the use of a questionnaire to investigate the desired Quality of life criteria, the place-making preferences, and the focus of liveable communities within these African Cities through an online Google form survey, posted through social media outlets to different respondents across various cities in Africa. The Snowball technique was employed to achieve sampling of 390 respondents across Africa. The responses obtained were synthesized and analyzed using a path analytic approach; the paper examines the relationship between the study's constructs. The data analysis findings show that place-making indeed influences Liveable communities, and Desired Quality of life mediates the relationship between place-making and liveable communities. The results indicate that Cities that prioritize Quality of Life and place-making have better liveable community spaces over those that do not. The study findings have implications for Liveable communities, as it could help city development planners to acknowledge the influence of Quality of life on Placemaking and liveable communities. The study contributes to the current debate on measuring urban Livability within the African City Space by creating a set of desired indicators that suit the African setting's needs regarding City infrastructure planning and provision.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74010778","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}
Pub Date : 2021-12-06DOI: 10.23917/forgeo.v35i2.15542
D. L. Setyowati
Human behavior can cause watershed problems, in which the use and carrying capacity of the watershed do not correspond. The objectives of this research are to determine the land use conditions and carrying capacity of the watersheds, and to analyze this capacity based on changes in land use and flood vulnerability areas. The research was conducted in five watersheds flowing are in flood-prone areas of Semarang City, namely Babon, Banjir Kanal Timur, Garang, Silandak, and Beringin, with a research area of 48,994.62 Ha. A quantitative analysis approach was used to calculate the land-use change and watershed carrying capacity; the capacity variables included land conditions, water quality, population, water building, and watershed space utilization. The results show that 1) an average of 12.27% of land in each watershed unit has been converted into settlements, with the most extensive conversion being in the Banjir Kanal Timur watershed; 2) the carrying capacity of this watershed got 113 scores, which fell into the poor category; and 3) at the watershed level, the surge in land conversion into settlements correlates with the carrying capacity of the watershed. Conversion of land into settlements is one of the determinants of the carrying capacity of the watershed. If the land use arrangement in the watershed is made with consideration of flood-vulnerability areas, this will be able to reduce watershed damage and reduce the frequency of floods.
人类行为可能导致流域问题，其中流域的利用和承载能力不对应。本研究的目的是确定流域的土地利用条件和承载能力，并根据土地利用和洪水易损区的变化分析流域的承载能力。该研究在三宝垄市洪水易发地区的五个流域进行，即Babon, Banjir Kanal Timur, Garang, Silandak和Beringin，研究面积为48,994.62公顷。采用定量分析方法计算了流域土地利用变化和流域承载力;容量变量包括土地条件、水质、人口、水利建设和流域空间利用。结果表明:①各流域单元平均有12.27%的土地被改造为居民点，其中以班吉尔-喀纳斯-帖木儿流域改造面积最大;②流域承载力得分为113分，属于差类;③在流域层面上，土地转化为聚落的激增与流域的承载能力相关。将土地转为住区是流域承载能力的决定因素之一。如果在流域的土地利用安排中考虑到易受洪水影响的地区，这将能够减少流域的破坏，减少洪水发生的频率。
{"title":"Assessment of Watershed Carrying Capacity and Land Use Change on Flood Vulnerability Areas in Semarang City","authors":"D. L. Setyowati","doi":"10.23917/forgeo.v35i2.15542","DOIUrl":"https://doi.org/10.23917/forgeo.v35i2.15542","url":null,"abstract":"Human behavior can cause watershed problems, in which the use and carrying capacity of the watershed do not correspond. The objectives of this research are to determine the land use conditions and carrying capacity of the watersheds, and to analyze this capacity based on changes in land use and flood vulnerability areas. The research was conducted in five watersheds flowing are in flood-prone areas of Semarang City, namely Babon, Banjir Kanal Timur, Garang, Silandak, and Beringin, with a research area of 48,994.62 Ha. A quantitative analysis approach was used to calculate the land-use change and watershed carrying capacity; the capacity variables included land conditions, water quality, population, water building, and watershed space utilization. The results show that 1) an average of 12.27% of land in each watershed unit has been converted into settlements, with the most extensive conversion being in the Banjir Kanal Timur watershed; 2) the carrying capacity of this watershed got 113 scores, which fell into the poor category; and 3) at the watershed level, the surge in land conversion into settlements correlates with the carrying capacity of the watershed. Conversion of land into settlements is one of the determinants of the carrying capacity of the watershed. If the land use arrangement in the watershed is made with consideration of flood-vulnerability areas, this will be able to reduce watershed damage and reduce the frequency of floods.","PeriodicalId":31244,"journal":{"name":"Forum Geografi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86317461","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：