Malaysia’s Department of Irrigation and Drainage (DID) announced on August 10 that 606 portable emergency pumps of varying specifications have been deployed nationwide and are ready for immediate mobilization to address challenges posed by the ongoing El Niño phenomenon [1, 2, 3].
The pumps are intended to channel water supplies to agricultural zones, irrigation schemes, and regions facing water disruptions due to reduced rainfall [1, 2, 3]. The equipment also assists forest and peatland firefighting efforts alongside the Fire and Rescue Department (JBPM) and other relevant agencies [1, 2, 3].
DID carries out regular preventive maintenance on the pumps and related hydromechanical infrastructure to ensure operational readiness before and during the drought season [1, 2, 3]. All assistance requests are coordinated by DID, which can deploy assets within 24 hours to affected areas [1, 2, 3].
To monitor operations in real time, DID utilizes a Supervisory Control and Data Acquisition (SCADA) system along with a Pump Tracking System. These technologies help detect disruptions early and ensure effective water gate and pump management [1, 2, 3].
The El Niño phenomenon is forecasted by the Malaysian Meteorological Department (MetMalaysia) as continuing until early 2027, with lowered rainfall expected in parts of Peninsular Malaysia — including the west, east, and southern coasts — as well as central and western Sarawak and eastern Sabah [1, 2, 3]. This forecast heightens drought risks and pressure on water resources.
Additionally, DID monitors 56 dams nationwide to manage water resources, agricultural irrigation, and flood mitigation in accordance with the National Water Policy and NADMA Directive No. 1 of 2024. The dams fall under the supervision of DID, the Ministry of Agriculture and Food Security, and the Sabah Water Department [1, 2, 3].
The deployment of pumps and ongoing monitoring activities demonstrate Malaysia’s active measures to mitigate the impacts of El Niño, with coordination across multiple agencies enabling quick responses as conditions evolve.
