Parts of Gujarat, Rajasthan and Madhya Pradesh will likely witness very heavy rainfall over the next 2-3 days, the Indian Meteorological Department (IMD) forecast on Wednesday, with the Centre swinging into action to deal with potential flood situation in these states.
Good showers in the past few days have bridged the rainfall deficit to 3% from the benchmark long-period average (LPA) as of July 29 from 6% up to July 24, showed the IMD data. With heavy downpour expected in parts of central and north-western India, the deficit could be narrowed further in the coming days.
“Due to a depression, heavy to very heavy rainfall at a few places and isolated extremely heavy falls over Gujarat region, Daman & Diu, Dadar & Nagar Haveli and Saurashtra, Kutch is predicted for today and tomorrow. Moderate rainfall is also expected to occur at most places in the region. Heavy to very heavy rain is also predicted at a few places on July 31 over the same region,” the ministry of earth sciences said in a statement, citing the IMD prediction.
Similarly, the IMD has forecast that rainfall would occur at most places with heavy to very heavy rainfall at a few places over Rajasthan during the next 72 hours and at isolated places over west Madhya Pradesh during the next 24 hours.
While seasonal showers tend to expedite sowing activity, excess rainfall could cause floods and hit those areas where sowing has already taken place.
The area under various kharif crops rose 26% until July 24 from a year before, aided by comfortable water reserves.
Seven NDRF (National Disaster Response Force) teams are already deployed in the rescue operation in Gujarat and four more teams from Pune have been rushed.
According to the IMD data, the north-west regions has so far received 12% excess rainfall than normal benchmark while the central India region has received normal rainfall according to the LPA. However, south peninsula has witnessed 18% less rainfall than normal so far, while eastern and north-eastern regions have received 8% less rainfall than normal.