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Appendix See Tables A.1 and A.2. © The Author(s) 2018 79 A. Khan and S. Chatterjee, Coastal Risk Assessment, SpringerBriefs in Oceanography, https://doi.org/10.1007/978-3-319-69992-9 Table A.1 Variables and calculations for determining vulnerability (Modified from Wisener et al. 2004) 80 Resource type Access to Potentially vulnerable sample groups Respondent’s perception Total no. Total no. in regard to change of ‘+’s of ‘−’s in condition between pre- and post-disaster event Poorest Middle Richest 123… n 33% 33% 33% Material resource Land W, C, E, W, C, E, W, C, E, ‘0’ ‘0’ ‘0’ ‘0’ ‘0’ nn MC MC MC ‘−’ ‘−’ ‘−’ ‘−’ ‘−’ ‘+’ ‘+’ ‘+’ ‘+’ ‘+’ Water – – – –––––– – Local resources – – – –––––– – Livestock – – – –––––– – Tools and – – – –––––– – equipments Capital and stock – – – –––––– – Food reserve – – – –––––– – House/shelter – – – –––––– – Transport – – – –––––– – Sanitary – – – –––––– – Physiological and social Nutrition and W, C, E, W, C, E, W, C, E, ‘0’ ‘0’ ‘0’ ‘0’ ‘0’ nn resources health MC MC MC ‘−’ ‘−’ ‘−’ ‘−’ ‘−’ ‘+’ ‘+’ ‘+’ ‘+’ ‘+’ Education – – – –––––– – Technology – – – –––––– – Appendix Information – – – –––––– – Social link – – – –––––– – Livelihoods – – – –––––– – Safety and security – – – –––––– – (continued) Table A.1 (continued) Appendix Resource type Access to Potentially vulnerable sample groups Respondent’s perception Total no. Total no. in regard to change of ‘+’s of ‘−’s in condition between pre- and post-disaster event Poorest Middle Richest 123… n 33% 33% 33% Financial resources Income W, C, E, W, C, E, W, C, E, ‘0’ ‘0’ ‘0’ ‘0’ ‘0’ nn MC MC MC ‘−’ ‘−’ ‘−’ ‘−’ ‘−’ ‘+’ ‘+’ ‘+’ ‘+’ ‘+’ Market – – – –––––– – Banking and credit – – – –––––– – Environmental resources Workplace W, C, E, W, C, E, W, C, E, ‘0’ ‘0’ ‘0’ ‘0’ ‘0’ nn environment MC MC MC ‘−’ ‘−’ ‘−’ ‘−’ ‘−’ ‘+’ ‘+’ ‘+’ ‘+’ ‘+’ Home environment – – – –––––– – Pollution – – – –––––– – Aesthetics – – – –––––– – N.B. Women (W), Children (C), Elderly (E) and Minority class (MC) 81 82 Appendix Table A.2 Summary of household survey and personal communication Village unit Respondent household Percentage out of 500 households Bamankhali 11 2.20 Bankimnagar 11 2.20 Beguakhali 13 2.60 Bishnupur 12 2.40 Chablat 13 2.60 Chandipur 14 2.80 Chemagari 10 2.00 Companir Char 10 2.00 Debimothurapur 13 2.60 Daspara 13 2.60 Gangasagar 16 3.20 Gobindapur 15 3.00 Haradhanpur 12 2.40 Harinbari 9 1.80 Kachuberia 15 3.00 Kamalpur 9 1.80 Kash Ramkarerchar 11 2.20 Kaylapara 12 2.40 Khan Saheber Abad 8 1.60 Kirtankhali 12 2.40 Kostala 8 1.60 Krishnanagar 14 2.80 Mahishamari 9 1.80 Mahendraganj 11 2.20 Mondirtala 12 2.40 Monosadwip 9 1.80 Mrityunjoynagar 16 3.20 Muriganga 13 2.60 Nagendraganj 12 2.40 Naraharipur 13 2.60 Narayani Abad 10 2.00 Notendrapur 8 1.60 Phuldubi 14 2.80 Purusattampur 14 2.80 Radhakrishnapur 15 3.00 Ramkrishnapur 12 2.40 Rudranagar 16 3.20 Sagar 15 3.00 (continued) Appendix 83 Table A.2 (continued) Village unit Respondent household Percentage out of 500 households Shibpur 11 2.20 Sikarpur 10 2.00 Sopkhali 8 1.60 Sumat Nagar 11 2.20 Index A F Accepted risk, 5 Flood hazard, 24, 35, 36 Adaptation, 3, 6, 12, 13, 15, 39, 58, 69, 77 Aila, 28, 31, 38, 39, 43, 51, 54, 67 G Anthropocene, 75 Ganges-Brahmaputra delta, 11 Assessment, 2–4, 6, 8, 9, 15, 18, 20–22, 24, 27, Global climate change, 1, 17, 46, 52, 66, 69, 39, 46–49, 52, 58, 60, 67, 70, 74, 77 71, 74 Gram Panchayat, 24 B Bay of Bengal, 1, 10, 20, 48 H Breakwaters, 26, 71 Hazard, 1, 3–9, 12, 17–20, 22, 25, 28, 32, 35, 38, 39, 43, 44, 47–49, 51–53, 57, 66, C 70–74 Capacity, 3–6, 43–45, 52, 57, 58, 60, 61, 63, Hazard factor, 25 64, 67, 75 High tide line, 27 Climate change, 1, 6, 9, 12–14, 18, 39, 44, 48, Human perception, 73 51, 52, 57, 66, 69–71, 77 Climate variability, 14 I climate, see Climate variability India meteorological department, 22, 29 Coastal Regulation Zone (CRZ), 1, 12, 64 Integrated Coastal Zone Management (ICZM), Coastal Risk Index (CRI), 70, 74 11, 72 Coastal Vulnerability Index (CVI), 9, 47, 50 Community vulnerability, 51, 52 J Conceptualizing vulnerability, 2 Jetty, 1, 13, 71 Cyclonic storm, 11, 29, 32 K D Kolkata, 12, 13 Decision-makers, 69, 70 Disaster, 2–6, 8, 17, 20, 43, 45, 51, 57, 58, 60, L 70, 71, 77 Littoral zones, 1, 76 Livelihood, 2, 4, 14, 29, 43, 46, 51, 61, 75 E Long shore current, 11 East coast, 1, 10–12, 39, 69 Event frequency, 49 Exposure, 4–6, 8, 45, 47–49, 51, 74, 76 © The Author(s) 2018 85 A. Khan and S. Chatterjee, Coastal Risk Assessment, SpringerBriefs in Oceanography, https://doi.org/10.1007/978-3-319-69992-9 86 Index M S Management, 1, 2, 5, 9, 15, 20, 39, 45, 58, 69, Sagar island, 11, 13, 17, 29, 31, 33, 34, 36, 38, 70, 72, 77 43, 52, 53, 63, 73, 75 Mangrove, 11, 13, 76 Sea level rise, 1, 4, 9, 13, 17, 29, 47, 49, 52, 66, Mapping, 17, 19, 49, 52, 66, 69, 70, 74 69, 75 Mouza, 24, 33, 35, 37, 38 Severe Cyclonic Storm (SCS), 29, 32 Shoreline, 9, 26, 28, 35, 36, 49, 66, 70, 74 N Social capacity, 58, 60, 61, 64 Non-Government Organizations (NGOs), 72 Social capital, 46, 58, 61 Numerical model, 8 Sunderbans deltaic complex, 13 O T Ocean, 1, 10, 12 Tropical cyclones, 12, 33 Oceanography, 15 Tropical Easterly Jet (TEJ), 12 Tsunami, 12, 17, 18, 23, 38, 46, 66, 70 P Place Vulnerability Index (PVI), 9 U Primary data, 24, 36 Union territories, 11 Probability, 2, 18, 20–22, 26–29, 32, 35, 39, 53 V Q Village, 13, 31, 33–36, 63, 67, 75 Quantification, 36, 43, 45 Vulnerability, 1–3, 5, 6, 9, 15, 29, 43–52, 57, Quaternary, 11, 28 72, 77 Questionnaire survey, 24 W R West Bengal, 1, 10, 11, 39, 69, 70, 72, 77 Recurrence interval, 18, 51 Relaxation time, 49, 51 Z Residual risk, 5 Z-score, 24, 25, 37 Resilience, 4, 12, 44, 46, 52, 57, 62, 71, 72 Risk assessment, 2, 3, 11, 18, 48, 49, 70 Risk-path analysis, 5.