Wednesday July 17, 2019
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Flood alert sounded in Kashmir Valley; fresh snowfall cuts Ladakh from rest of the state

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By NewsGram Staff Writer

With the Jhelum crossing its danger mark, a flood alert has been sounded in the Valley.

Many areas in south and north Kashmir districts of Anantnag and Baramulla have already been inundated by waters seeping through river and stream embankments or through small breaches in these areas.

According to an official from the flood control department, the water level of Jhelum river recorded at Ram Munshibagh in Srinagar city at 8 a.m. on Tuesday was 19.10 feet, which is above the danger mark. At Sangam in Anantnag district, the water level stood at 20.8 feet which is also close to the danger mark.

The official also said that a flood alert has been sounded as the water level in the Jhelum river is still rising at many places.

During the last two days, Kargil town in Ladakh region has received fresh snowfall, resulting in closure of all traffic into the town.

The fresh snowfall in Kargil and on the Zojilla Pass that connects the Ladakh region with the rest of the state is likely to delay the opening of the Srinagar-Leh national highway this year.

The weather department has forecast dry weather across Jammu and Kashmir from Tuesday onwards, though it said there could be isolated light to moderate rainfall at some places till Wednesday.

Last year in September, Kashmir witnessed unprecedented floods because of silting of river beds and streams, even a day’s downpour has been resulting in an alarming rise of water levels this year.

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Researchers Develop Novel Statistical Method to Predict Floods and its Duration

It is also possible to predict how long the duration of flooding and inundation will be, they said

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In shorter duration floods, however, this land-atmospheric coupling is negligible thus explaining why not all storms result in widespread flooding. Pixabay

Researchers have developed a novel statistical model for prediction of floods and its duration. It also accurately determines the timescale of flooding. “It is possible to predict the duration of floods by coupling atmospheric dynamics and land surface conditions in the watershed,” said study researcher Nasser Najibi from the City College of New York.

For the study published in the journal Nature Research, researchers analysed data from the Missouri river basin from the last 50 years to develop the Bayesian network statistical model.

The research team found that long duration floods first require high flow conditions in rivers created by recurrent high-intensity rainfall events, which is then followed by a large stable long-lived low-pressure system — a storm cell. These conditions may then result in large-scale devastating floods.

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It is also possible to predict how long the duration of flooding and inundation will be, they said. VOA

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In shorter duration, however, this land-atmospheric coupling is negligible thus explaining why not all storms result in widespread flooding.

The researchers said that with the help of this statistical model, potential risk imposed by longer duration floods on critical infrastructure systems such as flood control dams, bridges and power plants can be mitigated. It is also possible to predict how long the duration of flooding and inundation will be, they said. (IANS)