National Disaster Management Authority (NDMA): Over 300 lives lost in Pakistan due to heavy rain

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National Disaster Management Authority (NDMA): Over 300 lives lost in Pakistan due to heavy rain
ZMAlam / CC BY-SA

Pakistan has seen an extensive monsoon this year that usually ends by July. It has been reported that over 300 citizens which include children(100) died and others (239) injured since the monsoon began in the South Asian country.

Pakistan has been struggling with rain-related issues during monsoon for many years now. This year due to the prolonged monsoon, it has been combating for the country.

Authorities are worried as they are fighting against Coronavirus, where more than 300,000 positive cases have been reported and also caused 6,377 deaths since February 2020. 

According to the NDMA on Saturday, the seasonal rains have claimed 310 lives including 107 children, 135 men and 70 women.

A total of 239 people that includes 142 men, 41 children and 6 women have been severely injured while 139,102 houses are damaged and 78,521 destroyed completely.

Details of the affected province in Pakistan

According to NDMA data – Sindh is affected the most with 136 deaths, followed by Khyber Pakhtunkhwa with 116, 21 in Balochistan, 16 in Punjab, 12 in Pakistan-occupied Kashmir and 11 in Gilgit-Baltistan. 

Lack of technology caused the loss of lives

NDMA also reported in August that the country does not have modern forecast radars as well as an efficient telemetry system for a timely forecast of the flooding.

Telemetry is required to record and transmit data automatically from the inaccessible area to an IT system for analysing and monitoring different locations. The existing system that the country has is incompetent in predicting the weather, which results in not more than 65 to 70% only. The one they have can only serve the purpose for 15 days at a stretch which is inadequate according to their seasonal weather.

The incident report showed that Pakistan is using old technology for weather prediction, which is making it difficult for the standard and accurate atmospheric forecasts.