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AUTOMATED WATERLEVEL MONITORING USING REAL-TIME OBSERVATION (ALeRTO)

机译:使用实时观测进行自动水位监测(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:由于菲律宾地理位置优越,靠近太平洋,因此自然存在着不可否认的自然现象,这些自然灾害给该国带来了极大的破坏。作为对这些事件的回应,菲律宾政府鼓励将减少灾害风险和管理以及适应气候变化(DRMM-CCA)计划纳入国家和地方计划的主流。其中一些举措是在易发洪水地区安装自动雨量计(ARG)和自动水位传感器(AWLS)。这些传感器向诸如菲律宾大气地球物理和天文服务管理局(PAG-ASA)和PROJECT NOAH或菲律宾全国危险性操作评估之类的政府机构提供关键信息,据称这些信息已分发给地方政府部门(LGU),以供他们使用。被告知该地区即将发生水灾。但是,据观察,这些信息和数据不能直接由地方政府部门访问。作为预防措施,ADZU Phil LiDAR 1开发了一个系统,旨在通过提供能够在事前发送警报消息的预警系统,来帮助易发洪水地区的地方当局和社区为洪水的不利后果做准备。充斥事件。该系统从高级科学技术学院(ASTI)检索水位监测站(WLMS)和自动雨量计(ARG)中的数据。使用实时观察(ALeRTO)进行自动水位监控的程序经过编程,可以监控ASTI网站上的关键水位和雨量数据,并将其解释为高,中和低阈值类别。通过对设备进行编程以识别水位阈值,它会通过短信向注册用户发送警报消息,特别是向地方政府部门发送。鉴于此,该系统将能够扩展向两个最终用户,LGU和其他政府机构(通过SMS接收)以及同时向可以通过Internet访问该网站的任何人传播信息的平台。

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