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Modelling a community resilience index for urban flood-prone areas of Kerala, India (CRIF).

ABSTRACT: Communities are ever-evolving, cities are constantly expanding, and the threat of natural hazards has escalated like never before. Cities can develop and prosper only if their society is resilient to external shocks. Measuring community resilience over time is crucial with the influence of technology and change in community lifestyles. With the frequent onset of floods in Kerala in recent years, the community must be well-prepared for future calamities. Thus, this paper develops a community resilience index for Kerala's urban flood-prone areas (CRIF) through a rigorous bottom-up approach. The criteria for the index were developed using multi-criteria decision analysis that covered a fuzzy Delphi study, an empirical study using multi-variate probit regression, and an AHP analysis. The fuzzy Delphi study selected seven criteria: 'social', 'economical', 'governance/political', 'health', 'communication/coordination, 'education', and 'infrastructure' from 65 experts. The empirical study helped apprehend the public's viewpoints under each criterion. Finally, the AHP analysis helped assign appropriate weights to the criteria which 28 experts designated. The index is also designed according to the Sendai Framework for Disaster Risk Reduction (2015-2030). Further, the CRIF Index is put into action through a case study of the Kochi Municipal Corporation area, and the results are also validated using the Spearman's rank correlation coefficient method. Results from validation returned a value of 0.7209 for the perceived CRIF method and 0.5798 for the external validation method, which corresponds to a 'high' and 'moderate' correlation, respectively.

Supplementary information

The online version contains supplementary material available at 10.1007/s11069-022-05299-7.

SUBMITTER: Ali S

PROVIDER: S-EPMC8906364 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundClimate extremes such as drought and flood have become major constraints to the sustainable rice crop productivity in rainfed environments. Availability of suitable climate-resilient varieties could help farmers to reduce the grain yield losses resulting from the climatic extremities. The present study was undertaken with an aim to develop high-yielding drought and submergence tolerant rice varieties using marker assisted introgression of qDTY1.1, qDTY2.1, qDTY3.1 and Sub1. Performance of near isogenic lines (NILs) developed in the background of Swarna was evaluated across 60 multi-locations trials (MLTs). The selected promising lines from MLTs were nominated and evaluated in national trials across 18 locations in India and 6 locations in Nepal.ResultsGrain yield advantage of the NILs with qDTY1.1 + qDTY2.1 + qDTY3.1 + Sub1 and qDTY2.1 + qDTY3.1 + Sub1 ranged from 76 to 2479 kg ha- 1 and 396 to 2376 kg ha- 1 under non-stress (NS) respectively and 292 to 1118 kg ha- 1 and 284 to 2086 kg ha- 1 under reproductive drought stress (RS), respectively. The NIL, IR96322-34-223-B-1-1-1-1 having qDTY1.1 + qDTY2.1 + qDTY3.1 + Sub1 has been released as variety CR dhan 801 in India. IR 96321-1447-651-B-1-1-2 having qDTY1.1 + qDTY3.1 + Sub 1 and IR 94391-131-358-19-B-1-1-1 having qDTY3.1 + Sub1 have been released as varieties Bahuguni dhan-1' and 'Bahuguni dhan-2' respectively in Nepal. Background recovery of 94%, 93% and 98% was observed for IR 96322-34-223-B-1-1-1-1, IR 96321-1447-651-B-1-1-2 and IR 94391-131-358-19-B-1-1-1 respectively on 6 K SNP Infinium chip.ConclusionThe drought and submergence tolerant rice varieties with pyramided multiple QTLs can ensure 0.2 to 1.7 t ha- 1 under reproductive stage drought stress and 0.1 to 1.0 t ha- 1 under submergence conditions with no yield penalty under non-stress to farmers irrespective of occurrence of drought and/or flood in the same or different seasons.

Project description:BackgroundFlood preparedness empowers the community to respond effectively to related hazards. However, there was no research done in the country concerning household flood preparedness. Therefore, the aim of this study was to assess household flood preparedness and associated factors in the flood-prone community of Dembia district, northwest Ethiopia.MethodsA community-based cross-sectional study was conducted from March to April 2014 in the Dembia district. A two-stage sampling technique was used. The study was conducted using 806 flood-prone participants. An interviewer-administered questionnaire was used to collect data. The collected data were entered using Epi info version 3.5.1 and transported into SPSS version 16 for further analysis. Descriptive and analytic statistics were computed. Variables having association with the outcome variable were reported using odds ratio with 95% confidence interval (CI). Model fitness was checked by Hosmer and Lemeshew chi-square test.ResultsHousehold flood preparedness was found to be 24.4%. The age group of ≥ 46 years (adjusted odds ratio [AOR]=2.62; 95% CI: 1.12, 6.00) above, monthly household income >893 Ethiopian Birr, (AOR=6.72; 95% CI: 2.2 7, 19.88) attending primary level education (AOR=22.08; 95% CI: 8.16, 59.74), warning system in household (AOR=5.41; 95% CI: 2.38, 12.32), knowledge of flood prevention, (AOR=2.52; 95% CI: 1.43, 5.57) were positively associated with household flood preparedness.Conclusion and recommendationThis study has demonstrated that household flood preparedness was found to be low in the study area. Household flood preparedness was significantly associated with the older age group, attending primary level education, having a higher monthly income, receive household level warning messages, having knowledge on preparedness, prior exposure to a flood, and length of flood >6 days. Strengthening household flood preparedness in advance is important in order to prevent flood and its related consequences.

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Modelling a community resilience index for urban flood-prone areas of Kerala, India (CRIF).

Supplementary information

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