Representative Image | Photo: Mathrubhumi
India Meteorological Department forecasted heavy rainfall, especially in the northern districts of Kerala. The department has sounded a red alert in the Kozhikode, Wayanad, Kannur and Kasaragod districts for Wednesday.
A red alert indicates heavy to extremely heavy rains of over 20 cm in 24 hours, while orange alert means very heavy rains from 6 cm to 20 cm of rain. A yellow alert means heavy rainfall between 6 to 11 cm.
IMD has issued orange and yellow alerts in the other districts.
|18-05-2022 (Wednesday)||Thrissur, Palakkad, Malappuram|
|19-05-2022 (Thursday)||Kannur, Kasaragod|
|Wednesday||Thiruvananthapuram, Kollam, Pathanamthitta, Kottayam, Alappuzha, Ernakulam, Idukki|
|Thursday||Thiruvananthapuram, Kollam, Palakkad, Malappuram, Kozhikode, Wayanad|
|Saturday||Thiruvananthapuram, Kollam, Pathanamthitta, Alappuzha|
|Sunday||Thiruvananthapuram, Kollam, Pathanamthitta, Kottayam, Alappuzha, Ernakulam, Idukki|
The department also alerted the public to maintain caution equivalent to orange alert in all the hilly regions of the state as there prevails a situation of isolated heavy rainfall with thunder and lightning.
Considering the heavy rains even as the onset of Southwest monsoon is expected only by the end of this month, the state government had called a meeting of the district collectors and issued directions to deal with any eventualities.
The National Disaster Response Force (NDRF) has already deployed five teams to Kerala.
The State Disaster Management Authority (SDMA) has asked people to stay away from rivers and other water bodies until the rains subside.
The SDMA have also advised people not to travel to hilly regions unless it's an emergency and to avoid night travel until the rain subsides.
The district administrations have also warned the people against staying near coastal areas of high tide.
The IMD has earlier predicted that the Southwest monsoon, which is also known as Edavapathy in the state, is likely to bring its first showers to Kerala by May 27, five days earlier than the normal onset date.
(with inputs from PTI)