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AUTOMATED WATERLEVEL MONITORING USING REAL-TIME OBSERVATION (ALeRTO)

机译:自动化水利监控使用实时观察(Alerto)

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As the Philippines is geographically located near Pacific Ocean, episodes of natural phenomenon are undeniably present and these has brought devastation in the country. As a response to these events, the Philippine government encourages the mainstreaming of Disaster Risk Reduction and Management and Climate Change Adaptation (DRMM-CCA) initiatives to national and local programs. Several of the initiatives were the installation of Automated Rain Gauges (ARG) and Automated Water Level Sensors (AWLS) in flood prone areas. These sensors provide key information to government agencies such as the Philippine Atmospheric Geophysical and Astronomical Services Administration (PAG-ASA) and PROJECT NOAH or the Philippines Nationwide Operational Assessment of Hazards, which are supposedly disseminated to the Local Government Units (LGUs) for them to be informed on an impending flooding in the area. However, it has been observed that these information and data are not directly accessible to local government units. As a preventive measure, the ADZU Phil LiDAR 1 has developed a system which aims to help the local authorities and communities along the flood-prone areas prepare for the adverse effects of floods by providing an early warning system which is capable of sending alert messages prior to flood events. The system retrieves data in the Water Level Monitoring Stations (WLMS) and Automated Rain Gauges (ARG) from the Advance Science and Technology Institute (ASTI). The Automated Waterlevel Monitoring Using Real-Time Observation (ALeRTO) device is programmed to monitor the ASTI website for critical water level and rain data, and interpret it into threshold categories which are: high, medium and low. As the device is programmed to identify water level threshold, it sends out alert messages via sms to registered users specifically to Local Government Units. Given this, the system will be able to expand the platform on disseminating information to two end-users, the LGUs and other government agencies (received via SMS) and at the same time to anyone who would access the website via the internet.
机译:由于菲律宾位于太平洋附近的地理位置,因此无可否认地存在自然现象的剧集,这些国家在该国带来了破坏。作为对这些事件的回应,菲律宾政府鼓励将灾害风险和管理和气候变化适应(DRMM-CCA)倡议纳入国家和地方方案的主流。其中一些举措是在洪水易发区域内安装自动雨量(ARG)和自动化水位传感器(AWLS)。这些传感器向政府机构提供关键信息,例如菲律宾大气地球物理和天文学服务管理局(PAG-ASA)和项目诺亚或菲律宾全国对危害的菲律宾,这据称向他们的地方政府单位(LGU)传播了解该地区的即将洪水。但是,已经观察到这些信息和数据不能直接访问当地政府单位。作为一种预防措施,Adzu Phil Lidar 1制定了一个系统,该系统旨在帮助洪水易受领域的地方当局和社区,为洪水提供的不利影响,该系统提供了能够先前发送警报消息的预警系统泛滥事件。该系统从先进科学和技术研究所(ASTI)中检索水位监测站(WLMS)和自动雨量(ARG)中的数据。使用实时观察的自动化水利监控(Alerto)设备被编程为监控ASTI网站,用于关键水平和雨量数据,并将其解释为阈值类别,这些类别为:高,中等和低。由于该设备被编程为识别水位阈值,它通过SMS向注册用户发送给当地政府单位的注册用户。鉴于此,该系统将能够扩展将信息传播给两个最终用户,LGU和其他政府机构(通过SMS收到)的平台,并在任何通过互联网访问网站的人的同时。

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