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5.4 The Composite Vulnerability Index (H) of the Housing Stock in a particular CD Block has been calculated taking into account the vulnerability indexes for both cyclonic effects and inundation effects [Refer Table 5-1 and Figure 5-1]. The functional form specified for aggregation has tried to capture both the additive effects as well as multiplicative effects of individual vulnerability indexes. It is tautological to mention that, a particular community vulnerable with respect to parameter A as well as B is more vulnerable compared to combined vulnerability of communities only vulnerable to parameter A or B. For example, degree of disability of a person who has lost his arm and leg both is more than added disability of one who has lost only his arm and one who has lost his leg. Table 5-1: Composite Vulnerability Index of Housing Stock in the coastal districts of West Bengal Sub-Div. C.D Block Total no. of Houses Share of houses with Temporary Roof Material ( Â i ) Share of houses with Temporary Wall Material ( ) i Bˆ ( L ) i Alipore Sub Division Thakurpukur- Maheshtala 34,835 0.724 0.522 0.968 0.955 1.237 Bishnupur-I 51,792 0.863 0.792 0.982 0.976 1.656 Bishnupur-II 47,584 0.771 0.613 0.978 0.970 1.385 Budge-Budge(Part-I) 24,246 0.833 0.733 0.980 0.972 1.565 Budge-Budge(Part-II) 43,296 0.827 0.720 0.979 0.971 1.545 Baruipur Sub Division Sonarpur 39,655 0.853 0.771 0.957 0.939 1.578 Joynagar-I 51,355 0.850 0.765 0.989 0.987 1.631 Joynagar-II 44,641 0.925 0.910 0.984 0.978 1.835 Kultali 41,854 0.971 1.000 0.996 0.998 1.997 Baruipur 82,631 0.828 0.722 0.974 0.964 1.540 Bhangore-I 44,970 0.875 0.814 0.977 0.969 1.680 Bhangore-II 44,737 0.851 0.768 0.989 0.987 1.635 Canning Sub Division Canning-I 58,500 0.927 0.915 0.985 0.981 1.846 Canning-II 39,635 0.959 0.978 0.996 0.998 1.963 Basanti 66,862 0.963 0.985 0.991 0.990 1.963 Gosaba 60,625 0.964 0.986 0.997 0.998 1.977 Diamond Harbour Sub Division Mograhat-I 49,172 0.857 0.779 0.985 0.980 1.643 Mograhat-II 55,380 0.862 0.788 0.986 0.982 1.659 Mandirbazar 41,037 0.886 0.835 0.988 0.985 1.732 Kulpi 56,138 0.926 0.913 0.993 0.994 1.860 Falta 53,697 0.832 0.730 0.989 0.987 1.580 D-Harbour-I 29,627 0.865 0.795 0.997 0.999 1.691 D-Harbour-II 38,475 0.837 0.741 0.990 0.989 1.598 Mathurapur-I 36,672 0.922 0.905 0.994 0.995 1.851 Mathurapur-II 45,533 0.937 0.934 0.996 0.997 1.897 Kakdwip Sub Division Kakdwip 55,156 0.907 0.876 0.992 0.992 1.802 Namkhana 41,456 0.948 0.956 0.995 0.996 1.929 Sagar 46,179 0.964 0.987 0.997 0.999 1.979
5.5 Patharprotima 70,576 0.967 0.993 0.998 1.000 1.989 Tamluk Sub Division Tamluk 50,690 0.848 0.762 0.524 0.277 0.731 Sahid Matangini 40,997 0.861 0.786 0.546 0.312 0.794 Panskura-I 76,071 0.863 0.791 0.666 0.494 1.033 Panskura-II 64,697 0.784 0.638 0.540 0.302 0.663 Moyna 49,786 0.942 0.943 0.688 0.528 1.233 Nandakumar 55,689 0.919 0.900 0.580 0.363 0.958 Nandigram-III 39,032 0.936 0.933 0.748 0.620 1.355 Haldia Sub Division Mahisadal 41,740 0.868 0.800 0.556 0.327 0.825 Nandigram-I 40,304 0.943 0.947 0.826 0.738 1.542 Nandigram-II 26,249 0.960 0.979 0.822 0.733 1.573 Sutahata 48,895 0.455 0.000 0.342 0.000 0.000 Egra Sub Division Patashpur-I 34,921 0.961 0.981 0.920 0.882 1.798 Patashpur-II 35,146 0.960 0.979 0.907 0.862 1.763 Bhagwanpur-I 44,138 0.952 0.962 0.821 0.730 1.549 Egra-I 32,658 0.950 0.959 0.908 0.864 1.739 Egra-II 34,491 0.928 0.916 0.830 0.745 1.513 Contai Sub Division Khejuri -I 27,469 0.942 0.945 0.837 0.755 1.563 Khejuri-II 27,597 0.961 0.982 0.884 0.827 1.715 Bhagwanpur-II 40,075 0.953 0.966 0.837 0.755 1.590 Ramnagar-I 35,090 0.810 0.687 0.661 0.487 0.921 Ramnagar-II 35,480 0.903 0.868 0.763 0.642 1.312 Contai-I 36,112 0.895 0.853 0.751 0.624 1.272 Contai-II 34,024 0.913 0.888 0.795 0.691 1.403 Contai-III 33,474 0.925 0.910 0.834 0.751 1.514 5.3. Vulnerability Assessment of Local economy A brief look at the local economy of the study area clearly indicates its agrarian nature. More than 48 percent of the work force is engaged in primary sector activities, whereas 44 percent of the work force is absorbed in the service sector. Merely 6 percent of labor force in employed in manufacturing and processing activities. Preliminary investigation of the service employment reveals that most of them are in informal sector – a component which belongs to the marginal worker class. Looking at the low volume of industrial activity, the vulnerability assessment of the local economy has primarily concentrated on three aspects – agriculture, pisciculture and livestock. The prime reasoning being that most of the small and medium scale manufacturing activities are located in the urban areas and are comparatively better insulated from the vagaries of nature. On the other hand, informal service economy is primarily driven by human capital with low physical capital inputs. The Vulnerability Index of the Agriculture (A) has been estimated based on the total value of the standing crops and the opportunity cost due to lost productivity in coming years at the market prices
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HAZARD ASSESSMENT AND DISASTER MITI
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Project Team Though the outcome of
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Preamble The State of West Bengal,
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1.2 IMD, in its website (http://www
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1.4 5. Proposals for location of cy
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2.2 region is that which struck the
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2.4 Figure 2-2. Track of the 1970 B
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2.6 The most destructive element as
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2.8 the two regions is rather diffe
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2.10 2.4. The eastern coastal zone
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2.12 velocity is first checked. As
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2.14 Strong winds known as cyclones
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2.16 2.4.6. Soil characteristics Th
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2.18 All rivers have in general sou
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2.20 Another interesting feature of
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2.22 formed does not pose so much o
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2.24 2.4.11. Forest composition The
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2.26 Canning (Bidyadhari Outfall in
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2.28 Administrative information Pop
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2.30 Mangrove plantation beyond the
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2.32 A retired embankment of river
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2.34 The beaches are flattened by s
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2.36 of a doiminant tidalbasin of t
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2.38 primary mode is centered on th
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2.40 Aquaculture ponds located betw
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2.42 All the islands are situated w
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2.44 • Transport the water to the
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2.46 The other type of failure may
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2.48 channel floor, some of the riv
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2.50 embankments. Crops and propert
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2.52 2. To reduce the average dista
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3.2 a storm surge caused by a tropi
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3.4 these merchants may have been t
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3.6 Figure 3-1. Map of India during
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3.8 larger volume of sewage and dra
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3.10 receive, at least during the r
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3.12 3.9. Drainage scheme of Dr. B.
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3.14 3.10. CMPO and KMDA (originall
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3.16 Flows are diverted to the loca
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3.18 the Bhangar region through the
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3.20 the ocean level as a result of
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3.22 Table 3-6. Major pumping stati
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3.24 Table 3-9. Drainage basin area
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3.26 will lead to significant impro
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3.28 locks, one at Chitpur and anot
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Page 122 and 123: 4.22 ∂u ~ ∂ ~ ~ ∂ ~ ~ ∂ζ 1
Page 124 and 125: 4.24 Δ p p(r) = p( ∞) − [1+ (r
Page 126 and 127: 4.26 maximum surge for this event w
Page 128 and 129: 4.28 U-Component of Velocity (Surfa
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Page 132 and 133: 4.32 V-component of Velocity (Surfa
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6.33
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6.35 Figure 6 -11 Figure 6 -12
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6.37 Figure 6 -15 Figure 6 -16
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6.39 Figure 6 -19 6.2.7. Recommenda
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6.41 4. Rajraj Swarup & Ramnagar Ab
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6.43 project. Such sediment deficit
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6.45 paludosa, Rhizophora apiculata
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6.47 15. Ceriops tagal 0.22 0.40 0.
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6.49 shelterbelt (average 100 m wid
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6.51 (assuming land acquisition cos
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6.53 location are missing reducing
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7.2 resulted in large scale waterlo
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7.4 5. No adverse effect in drainin
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7.6 15 LT Panel L.S. 2,200,000 16 I
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7.8 Bagjola, Kestopur and SWF chann
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Executive Cost Summary of Recommend
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References Kanjilal (2005) “Sunde
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“……………….Designingadis
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