Forum Geografi最新文献_第4页

The Values of Natural Disaster Mitigation in Discourse: The True Story of the Acehnese Tsunami Victims 话语中减轻自然灾害的价值:亚齐海啸受害者的真实故事

Forum Geografi Pub Date : 2022-07-31 DOI: 10.23917/forgeo.v35i2.14032

Denni Iskandar, T. Sinar, I. A. Samad, A. N. Gadeng

引用次数: 0

Coastal Vulnerability Study on Potential Impact of Tsunami and Community Resilience in Pacitan Bay East Java 东爪哇太平洋湾海啸潜在影响及社区恢复力沿海脆弱性研究

Forum Geografi Pub Date : 2022-07-26 DOI: 10.23917/forgeo.v36i1.17160

Z. Hidayah, Nur Nazilatul Rohmah, M. Wardhani

引用次数: 3

Spatial Analysis of Mangrove Distribution Using Landsat 8 Oli in Badung Regency and Denpasar City, Bali Province, Indonesia 基于Landsat 8 Oli的印尼巴厘省巴东县和登巴萨市红树林分布空间分析

Forum Geografi Pub Date : 2022-07-15 DOI: 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

{"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":"12 1","pages":""},"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}

引用次数: 3

Verification of Weather Predictions Using Voluntary Weather Observations Via WhatsApp and Google Forms During the Dry Season 2021 在2021年旱季期间，通过WhatsApp和谷歌表格使用自愿天气观测验证天气预测

Forum Geografi Pub Date : 2022-02-22 DOI: 10.23917/forgeo.v36i1.16333

G. Giarno, M. Munawar, Ervan Ferdiansyah, Fendy Arifianto, A. Pratiwi, Silvia Yulianti

{"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":"42 1","pages":""},"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}

引用次数: 0

Spatial and Seasonal Patterns of Flood Inundation in Lokoja, Kogi State, Nigeria 尼日利亚科吉州Lokoja洪水淹没的空间和季节格局

Forum Geografi Pub Date : 2022-02-12 DOI: 10.23917/forgeo.v35i2.15968

Usman Umar Jimoh

{"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":"11 1","pages":""},"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}

引用次数: 1

The Study of Food Security in the Special Region of Yogyakarta, Indonesia 印尼日惹特区的粮食安全研究

Forum Geografi Pub Date : 2022-02-12 DOI: 10.23917/forgeo.v35i2.15855

R. Harini, Irwansyah Sukri, R. Ariani, Elya Pratiwi Isti Faroh, Hayyun Nadia, U. Kafafa

{"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":"32 1","pages":""},"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}

引用次数: 2

Analysis of Vulnerability to Transmission of the Covid-19 based on Building Function at Padukuhan Mancasan Kleben, Pandowoharjo, Sleman, Yogyakarta 基于日惹市Pandowoharjo、Padukuhan Mancasan Kleben建筑功能的新冠肺炎传播脆弱性分析

Forum Geografi Pub Date : 2022-01-01 DOI: 10.23917/forgeo.v35i2.13755

A. L. Permatasari, I. Suherningtyas, Erik Febriarta, P. Wiguna

{"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":"30 1","pages":""},"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}

引用次数: 4

Forensic Profiling Analogue Approach for the Investigation of Natural Hazards – A Case Study from Onokoba Elementary School, Unzen Volcano, Japan 自然灾害调查的法医侧写模拟方法——以日本云仙火山小野场小学为例

Forum Geografi Pub Date : 2021-12-31 DOI: 10.23917/forgeo.v35i2.15741

B. Bradák, Christopher A. Gomez, Yoshinori Shinohara, N. Hotta

{"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":"88 1","pages":""},"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}

引用次数: 1

Mediation Function of Desired Quality of Life Between Place-Making and Liveable Communities in African Cities 非洲城市宜居社区与场所营造之间的生活品质中介作用

Forum Geografi Pub Date : 2021-12-31 DOI: 10.23917/forgeo.v35i2.14559

S. Medayese, Hangwelani Magidimisha Chipingu, L. Chipungu

{"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":"18 1","pages":""},"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}

引用次数: 0

Assessment of Watershed Carrying Capacity and Land Use Change on Flood Vulnerability Areas in Semarang City 三宝垄市洪水易损区流域承载力及土地利用变化评价

Forum Geografi Pub Date : 2021-12-06 DOI: 10.23917/forgeo.v35i2.15542

D. L. Setyowati

{"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":"2011 1","pages":""},"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}

引用次数: 3