Proponent/Claimant

Leo D. Bentoso; Erick O. Juan; Deborah G. Brosas; Jessie R. Paragas; Lyra K. Nuevas; Ma. Windie C. Velarde

Abstract

Floods are one of the most damaging disaster events in the province of Leyte; their occurrence and strength are increasing in the last decade. The most common reasons for flooding in Leyte are unpredictable and heavy monsoon rainfalls, resulting in massive live losses, a large amount of internally displace persons (IDPs), damages of agricultural land and crops, and live stocks. The proposed Automated Flood Warning System for the Province of Leyte is an online-based system that tends to help the communities. It measures rain and water level by positioning the reading device with measuring sensors to the strategic location and generating real-time readings. The data will be transmitted to the web system and convert to readable, easy-to-understand reports. As shown in the results and discussion, the system successfully monitors the flooding situation through the system’s graphical representation. The authorities also received alert messages to warn them of the alert level measured by the system. It also assists the management in planning flood control using decision support, monitoring a local flood-prone area, and identifying early warning disturbances.

Name of Research Journal

IEEE Xplore

Volume and Issue No.

Electronic ISBN:978-1-7281-3044-6 Print on Demand(PoD) ISBN:978-1-7281-3045-3

Date/Year of Publication

2021

Citation

Bentoso, L. D., Juan, E. O., Brosas, D. G., Paragas, J. R., Nuevas, L. K., & Velarde, M. W. C. (2021, October). Web-Based Solution for Flood Warning Decision Support in the Province of Leyte, Philippines. In 2021 3rd International Conference on Research and Academic Community Services (ICRACOS) (pp. 185-190). IEEE.