Calceņa, Karl Joshua M. <br/><br/>
Integrating arduino-based sensor systems with hec-ras for hydraulic parameter determination:  Hydraulic modeling and mitigation planning in sulipan apalit, pampanga/ 
Karl Joshua M. Calceņa, Regina Carla E. Constatino, Patricia L. Deang, Christian John R. Fabro, and Ma. Katrina S. Katigbak.-- 
 - Manila:  Technological University of the Philippines,  2024. 
 - xviii, 152pages:  29cm. 
<br/><br/> Bachelor's Thesis 
<br/><br/>College of Engineering.-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Flood remains a significant concern in the Philippines, particularly in low-lying<br/>areas like Sulipan, Apalit, Pampanga. This study aimed to develop a mitigation plan to<br/>reduce the risk of flooding by integrating Arduino-based sensor systems with HEC-RAS<br/>for hydraulic modeling. The data collection combined historical data and real-time<br/>measurements. The sensor systems collected real-time water level and flow velocity data<br/>from April 18 to May 18, 2024. PRBFFWC Hydrological Data from 2021 were analyzed<br/>to prove correlations between Gabaldon (Upstream), Arayat (Downstream 1), and Sulipan<br/>(Downstream 2) within the Pampanga River Basin. Model equations from these<br/>correlations were validated using the 2023 Hydrological Data or PRBFFWC and utilizing<br/>data collected from the Arduino-based sensor systems. The Rational Method Analysis was<br/>also utilized to calculate peak discharges in Sulipan from the whole catchment area across<br/>multiple return periods (10, 25, 50, and 100 years). Validation against PAGASA<br/>PRBFFWC Hydrological Data confirmed the system's reliability, with a mean accuracy of<br/>86.6% for water level and flow rate measurements. The findings revealed significant water<br/>level increases in the downstream area due to upstream runoff. These results emphasize<br/>upstream rainfall's influence on downstream flooding and highlight the significance of<br/>integrating the Arduino-based sensor systems for flood management. Deployment of<br/>prototypes in upstream areas allowed data predictions in low-lying areas susceptible to<br/>flooding. The proposed Early Warning System offers a practical approach to reducing flood<br/>risks and enhancing preparedness in vulnerable communities by providing timely alerts to<br/>authorities and residents in Sulipan. This study demonstrates the utility of cost-effective<br/>technology, analysis of historical data, regression models, and advanced computational<br/>tools for future hydrological research and practical applications in water resource<br/>management. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Flood<br/>Arduino-based sensor systems<br/>Hec-ras modeling
<br/><br/><label>LC Class. No.: </label>BTH TA 145  / C35 2024