{"title":"城市空间的洪水灾害分析","authors":"Halford M. Bermudez, Praxedis S. Marquez","doi":"10.1109/ICTKE.2018.8612356","DOIUrl":null,"url":null,"abstract":"This study focuses in urban spaces such as Manila Philippines where urban locations have experienced intense flooding which leads to loss or damage of properties, destruction of homes or suspension of classes. In this point, although flood risk cannot be totally eliminated, this research will be instrumental in flood forecasting as a key tool in flood warning which can provide adequate lead time for the public to play down flood casualties. The purpose of this research is to design an application that will provide flood hazard in the next 2 to 4 hours base from users selected locations and GPS locations, using the source data from PAGASA’s hourly forecast, the system transforms the data into a notification warning via Android Application. A Rapid Application Development Prototyping was utilized by the researcher as a model during the development of the study. It used a total population purposive sampling in the evaluation performance of the system. Furthermore, the developed system was scored with a mean of 4.94 which exhibits that the respondents strongly agree with the capabilities of the developed system. It was then concluded that the developed system was able to supply Flood Hazard Analytics for Urban Spaces to guide the local government, and the Filipino people to spot possible flood behavior in a given location.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Flood Hazard Analytics for Urban Spaces\",\"authors\":\"Halford M. Bermudez, Praxedis S. Marquez\",\"doi\":\"10.1109/ICTKE.2018.8612356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study focuses in urban spaces such as Manila Philippines where urban locations have experienced intense flooding which leads to loss or damage of properties, destruction of homes or suspension of classes. In this point, although flood risk cannot be totally eliminated, this research will be instrumental in flood forecasting as a key tool in flood warning which can provide adequate lead time for the public to play down flood casualties. The purpose of this research is to design an application that will provide flood hazard in the next 2 to 4 hours base from users selected locations and GPS locations, using the source data from PAGASA’s hourly forecast, the system transforms the data into a notification warning via Android Application. A Rapid Application Development Prototyping was utilized by the researcher as a model during the development of the study. It used a total population purposive sampling in the evaluation performance of the system. Furthermore, the developed system was scored with a mean of 4.94 which exhibits that the respondents strongly agree with the capabilities of the developed system. It was then concluded that the developed system was able to supply Flood Hazard Analytics for Urban Spaces to guide the local government, and the Filipino people to spot possible flood behavior in a given location.\",\"PeriodicalId\":342802,\"journal\":{\"name\":\"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTKE.2018.8612356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE.2018.8612356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This study focuses in urban spaces such as Manila Philippines where urban locations have experienced intense flooding which leads to loss or damage of properties, destruction of homes or suspension of classes. In this point, although flood risk cannot be totally eliminated, this research will be instrumental in flood forecasting as a key tool in flood warning which can provide adequate lead time for the public to play down flood casualties. The purpose of this research is to design an application that will provide flood hazard in the next 2 to 4 hours base from users selected locations and GPS locations, using the source data from PAGASA’s hourly forecast, the system transforms the data into a notification warning via Android Application. A Rapid Application Development Prototyping was utilized by the researcher as a model during the development of the study. It used a total population purposive sampling in the evaluation performance of the system. Furthermore, the developed system was scored with a mean of 4.94 which exhibits that the respondents strongly agree with the capabilities of the developed system. It was then concluded that the developed system was able to supply Flood Hazard Analytics for Urban Spaces to guide the local government, and the Filipino people to spot possible flood behavior in a given location.