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SULTAN: An application for landslide susceptibility assessment and site mapping: Using the principle of Factor of Safety (FS), developed for non-experts

机译:苏丹:滑坡敏感性评估和现场测绘的应用程序:使用为非专家开发的安全系数(FS)原理

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The Philippines is one of the most disaster prone countries in the world and landslides are one of the many hazards that devastates the country. The country's population and average amount of rainfall increases annually, causing the risk of landslides to increase as well. Because of this, there is a need to develop new techniques and models to measure landslide susceptibility to help mitigate the problem. Although there are already existing techniques available, most of these are very costly and requires the presence of an expert. Since the Philippines have very limited financial capabilities, maximizing the use of available resources and developing new techniques through innovation could be the right approach to mitigate the effects of natural hazards such as landslides. To address this concern, the grouped developed an application for landslide susceptibility assessment and site mapping using the model developed by Dr. Peckley and Dr. Bagtang for the use of both experts and non-experts alike. The application calculates for the Factor of Safety(FS) of sites using the following factors: material strength of soil, slope angle, vegetation cover, amount of rainfall, frequency of failure (land movement) and land use. Data collected by the application can be sent to the web application for site mapping. The application was developed using Android Studio while the web application was developed using Django Framework. Geologists from DOST Project NOAH tested the application for functionality validation. To evaluate the usability of the application, a survey was conducted to geology and civil engineering students. The group used QUIS (Questionnaire for User Interface Satisfaction) as the survey instrument that measures the following user interface factors: screen, terminologies, learnability and system capabilities.
机译:菲律宾是世界上最容易受灾的国家之一,山体滑坡是破坏该国的众多灾害之一。该国的人口和平均降雨量每年都在增加,导致滑坡的风险也在增加。因此,需要开发新技术和模型来测量滑坡敏感性,以帮助缓解这一问题。尽管已经有可用的现有技术,但是其中大多数成本很高,并且需要专家的陪同。由于菲律宾的财务能力非常有限,因此最大限度地利用现有资源并通过创新开发新技术可能是减轻自然灾害(例如山体滑坡)影响的正确方法。为了解决这一问题,该小组使用Peckley博士和Bagtang博士开发的模型开发了滑坡敏感性评估和场地制图的应用程序,供专家和非专家共同使用。该应用程序使用以下因素来计算站点的安全系数(FS):土壤的材料强度,坡度,植被覆盖度,降雨量,破坏频率(土地移动)和土地利用。应用程序收集的数据可以发送到Web应用程序以进行站点映射。该应用程序是使用Android Studio开发的,而Web应用程序是使用Django Framework开发的。 DOST Project NOAH的地质学家对应用程序进行了功能验证。为了评估该应用程序的可用性,对地质和土木工程专业的学生进行了调查。该小组使用QUIS(用户界面满意度调查表)作为测量以下用户界面因素的调查工具:屏幕,术语,可学习性和系统功能。

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