Cyclone and Storm Surge - Iczmpwb.org
Cyclone and Storm Surge - Iczmpwb.org Cyclone and Storm Surge - Iczmpwb.org
4.10 Table 5: The number and return period of cyclones and severe cyclones that affected the blocks of East Midnapore District Block Name Severe Cyclones Cyclones Number Return Number Return Period Period Ramnagar-I 0 - 7 16 Ramnagar-II 2 57 8 14 Contai-I 0 - 6 19 Contai-II 1 114 7 16 Contai-III 0 - 8 14 Khejuri-I 0 - 2 57 Khejuri-II 0 - 4 28 Nandigram-I 0 - 6 19 Nandigram-II 0 - 6 19 Nandigram-III 0 - 4 28 Sutahata-I 0 - 1 114 Sutahata-II 0 - 3 38 Mahisadal 0 - 3 38 Nandakumar 0 - 4 28 Tamluk 0 - 3 38 Sahid Matangini 0 0 - Egra-I 0 - 9 13 Egra-II 0 - 11 10 Pataspur-I 0 - 9 13 Pataspur-II 0 - 11 10 Bhagawanpur-I 0 - 3 38 Bhagawanpur-II 0 - 5 23 Mayna 0 - 1 114 Panskura-I 0 - 1 114 Panskura-II 0 - 2 57
4.11 4.5. Assessment of Storm surge Storm surge is a phenomenon where the tide level rises mainly due to drifted seawater and a drop in atmospheric pressure when a low pressure system approaches. The hazard level of storm surge inundation is assessed by estimating the seawater inflow due to storm surges in the assessment area and the depth of inundation and other factors which are used as indices of damage. The east coast of India is frequently affected by storm surges. Most vulnerable portions of the east coast are Orissa, West Bengal and south Andhra coasts. To cite some of the destructive cyclones over the Bay of Bengal are 1977 Andhra Cyclone, 1999 Orissa Super cyclone, 1970 Bhola cyclone etc., where reported loss of lives are enormous. In recent past, the loss of life is considerably reduced compared to the earlier extreme events. The reason is improvement in the forecasting methods and timely evacuation of people from the vulnerable areas. There can be little doubt that the number of causalities would have been considerably lower if the surge could have been predicted, say, 24 hours in advance allowing effective warnings in the vulnerable areas. The prediction, must, of course, be accurate enough so that one can distinguish between the dangerous surges and the surges that cause little harm, as people can not be evacuated from the exposed areas for every approaching storm. To note, success have been achieved in predicting storm surges through operational numerical models. Operational numerical storm surge prediction models have been developed and are being routinely used for several coastal regions of the world such as: Storm Tide Warning Service (STWS) in the UK; operational systems in the Netherlands and National Marine Environmental Forecasting centre in China. A review of these operational forecasting system models is given in Jiping et al.(1990), Jelesnianski (1989), Murty (1984) and Sundermann and Lenz (1983). The development of operational numerical storm surge prediction system in India is an active thrust area which needs immediate attention, where most of these models require large computational resources. Hence, for routine forecasting of storm surges providing multiple forecast scenarios, the models cannot be used in the absence of adequate computing facility. To overcome this difficulty, most of the forecasting offices including India Meteorological Department (IMD) use the nomogram method for prediction of storm surges associated with tropical cyclones. These nomograms are produced based on sensitivity analysis of modeling studies conducted for varied bathymetries and approach angles. The second WMO International workshop on tropical cyclones recommended the use of personal computers (PCs) by the developing countries in order to adopt the stand-alone storm-surge forecasting system. Recent advent of powerful personal computers has opened up the possibility of running dynamical models in real time on PC-based work stations in an operational office. In fact, a PC-based
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4.11<br />
4.5. Assessment of <strong>Storm</strong> surge<br />
<strong>Storm</strong> surge is a phenomenon where the tide level rises mainly due to drifted seawater <strong>and</strong> a drop in<br />
atmospheric pressure when a low pressure system approaches. The hazard level of storm surge<br />
inundation is assessed by estimating the seawater inflow due to storm surges in the assessment<br />
area <strong>and</strong> the depth of inundation <strong>and</strong> other factors which are used as indices of damage.<br />
The east coast of India is frequently affected by storm surges. Most vulnerable portions of the east coast<br />
are Orissa, West Bengal <strong>and</strong> south Andhra coasts. To cite some of the destructive cyclones over the<br />
Bay of Bengal are 1977 Andhra <strong>Cyclone</strong>, 1999 Orissa Super cyclone, 1970 Bhola cyclone etc., where<br />
reported loss of lives are enormous. In recent past, the loss of life is considerably reduced compared to<br />
the earlier extreme events. The reason is improvement in the forecasting methods <strong>and</strong> timely evacuation<br />
of people from the vulnerable areas. There can be little doubt that the number of causalities would have<br />
been considerably lower if the surge could have been predicted, say, 24 hours in advance allowing<br />
effective warnings in the vulnerable areas. The prediction, must, of course, be accurate enough so that<br />
one can distinguish between the dangerous surges <strong>and</strong> the surges that cause little harm, as people<br />
can not be evacuated from the exposed areas for every approaching storm. To note, success have<br />
been achieved in predicting storm surges through operational numerical models.<br />
Operational numerical storm surge prediction models have been developed <strong>and</strong> are being routinely used<br />
for several coastal regions of the world such as: <strong>Storm</strong> Tide Warning Service (STWS) in the UK;<br />
operational systems in the Netherl<strong>and</strong>s <strong>and</strong> National Marine Environmental Forecasting centre in China.<br />
A review of these operational forecasting system models is given in Jiping et al.(1990), Jelesnianski<br />
(1989), Murty (1984) <strong>and</strong> Sundermann <strong>and</strong> Lenz (1983). The development of operational numerical<br />
storm surge prediction system in India is an active thrust area which needs immediate attention, where<br />
most of these models require large computational resources. Hence, for routine forecasting of storm<br />
surges providing multiple forecast scenarios, the models cannot be used in the absence of adequate<br />
computing facility. To overcome this difficulty, most of the forecasting offices including India<br />
Meteorological Department (IMD) use the nomogram method for prediction of storm surges<br />
associated with tropical cyclones. These nomograms are produced based on sensitivity analysis of<br />
modeling studies conducted for varied bathymetries <strong>and</strong> approach angles.<br />
The second WMO International workshop on tropical cyclones recommended the use of personal<br />
computers (PCs) by the developing countries in order to adopt the st<strong>and</strong>-alone storm-surge forecasting<br />
system. Recent advent of powerful personal computers has opened up the possibility of running<br />
dynamical models in real time on PC-based work stations in an operational office. In fact, a PC-based