Design of a Digital Flood Early Warning System for Communities Along the Ekulu River, Enugu

Communities situated along the Ekulu River in Enugu face recurring flood events, particularly during peak rainfall seasons, resulting in displacement, property destruction, and loss of agricultural output. Early warning systems have been demonstrated internationally to significantly reduce flood-related casualties and economic losses, yet communities along the Ekulu River currently lack any structured digital mechanism for flood alert dissemination. This study designed a digital flood early warning system for at-risk communities along the Ekulu River corridor in Enugu, integrating real-time water level sensor data with an automated alert broadcasting platform. The system architecture consisted of ultrasonic water level sensors positioned at critical monitoring points along the river, transmitting readings to a cloud-based data platform via GSM data modules. A PHP and MySQL web application processed incoming sensor readings against predefined flood threshold levels, triggering tiered SMS alerts to registered community leaders, local government emergency coordinators, and Enugu State Emergency Management Agency (SEMA) contacts when thresholds were approached or exceeded. A public web dashboard displayed live water level readings and current flood risk status. Laboratory simulation of sensor data transmission and alert triggering confirmed that the system responded to threshold breaches within 45 seconds of detection. Community stakeholders consulted during system design expressed strong support for the initiative. The study concluded that a sensor-integrated digital early warning system represents a practical and potentially life-saving technological intervention for flood-vulnerable communities along the Ekulu River.

Keywords: flood early warning, Ekulu River, Enugu, water level monitoring, SMS alert system