Libya Storm and Flooding 2023
The objective of the RDNA is to estimate the impact of the storm and floods on physical assets and service delivery in the most affected areas and take stock of the ensuing recovery needs. The RDNA covers 20 municipalities and provides indepth analysis of the five most affected cities (Derna, Soussa, Al-Bayda, Al-Marj, and Shahhat) The RDNA employs an assessment methodology developed by the WB, EU and UN that has been successfully applied in numerous disaster-affected countries around the World. The RDNA relies largely on satellite imagery based data, social media analytics and other means of remote data collection. Despite extensive efforts to maximize the accuracy and reliability of the data collected and utilized for the RDNA, the recovery planning and implementation phases will provide an opportunity to further improve upon the RDNA data through more comprehensive ground damage surveys. The RDNA provides sector specific strategies for green, resilient, inclusive, and sustainable recovery. Based on these sector-specific strategies, it identifies and quantifies needs for several sectors, distributed, and sequenced across the short-term (0–12 months) and medium-term (1–3 years). These sectors encompass Social Sectors (Housing, Education, Health, Poverty, and Social Protection, and Jobs), Productive Sectors (Agriculture and Financial), Infrastructure Sectors (Energy, Transport, Telecommunications and Digital Development, Water and Sanitation, and Water Resource Management, and Municipal Services), as well as Cross-Cutting Sectors (Environment, Impact on Women and Men, Governance and Public Institutions, Disaster and Climate Risk Management, and Social Sustainability and Inclusion). The RDNA also analyses macroeconomic and socioeconomic impacts of the floods to anticipate how these are affecting the population’s well-being. Although the scope of the RDNA is limited to damages, losses and needs caused by the flood, the recommended recovery measures attempt to contribute to longer term stability and improved governance of the disaster affected region.
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Format: | Report biblioteca |
Language: | English en_US |
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Washington, DC: World Bank
2024-02-12
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Subjects: | NATURAL DISASTERS, STORM, FLOODING, SOCIAL SECTORS, INFRASTRUCTURE, RECOVERY, |
Online Access: | http://documents.worldbank.org/curated/en/099353101242428521/IDU153d4e1711e33e145321b8881cf996ea3acf7 https://openknowledge.worldbank.org/handle/10986/41039 |
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dig-okr-10986410392024-07-17T11:35:26Z Libya Storm and Flooding 2023 Rapid Damage and Needs Assessment World Bank NATURAL DISASTERS STORM FLOODING SOCIAL SECTORS INFRASTRUCTURE RECOVERY The objective of the RDNA is to estimate the impact of the storm and floods on physical assets and service delivery in the most affected areas and take stock of the ensuing recovery needs. The RDNA covers 20 municipalities and provides indepth analysis of the five most affected cities (Derna, Soussa, Al-Bayda, Al-Marj, and Shahhat) The RDNA employs an assessment methodology developed by the WB, EU and UN that has been successfully applied in numerous disaster-affected countries around the World. The RDNA relies largely on satellite imagery based data, social media analytics and other means of remote data collection. Despite extensive efforts to maximize the accuracy and reliability of the data collected and utilized for the RDNA, the recovery planning and implementation phases will provide an opportunity to further improve upon the RDNA data through more comprehensive ground damage surveys. The RDNA provides sector specific strategies for green, resilient, inclusive, and sustainable recovery. Based on these sector-specific strategies, it identifies and quantifies needs for several sectors, distributed, and sequenced across the short-term (0–12 months) and medium-term (1–3 years). These sectors encompass Social Sectors (Housing, Education, Health, Poverty, and Social Protection, and Jobs), Productive Sectors (Agriculture and Financial), Infrastructure Sectors (Energy, Transport, Telecommunications and Digital Development, Water and Sanitation, and Water Resource Management, and Municipal Services), as well as Cross-Cutting Sectors (Environment, Impact on Women and Men, Governance and Public Institutions, Disaster and Climate Risk Management, and Social Sustainability and Inclusion). The RDNA also analyses macroeconomic and socioeconomic impacts of the floods to anticipate how these are affecting the population’s well-being. Although the scope of the RDNA is limited to damages, losses and needs caused by the flood, the recommended recovery measures attempt to contribute to longer term stability and improved governance of the disaster affected region. 2024-02-12T15:34:27Z 2024-02-12T15:34:27Z 2024-02-12 Report http://documents.worldbank.org/curated/en/099353101242428521/IDU153d4e1711e33e145321b8881cf996ea3acf7 https://openknowledge.worldbank.org/handle/10986/41039 English en_US CC BY-NC 3.0 IGO https://creativecommons.org/licenses/by-nc/3.0/igo World Bank application/pdf text/plain application/pdf Washington, DC: World Bank |
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NATURAL DISASTERS STORM FLOODING SOCIAL SECTORS INFRASTRUCTURE RECOVERY NATURAL DISASTERS STORM FLOODING SOCIAL SECTORS INFRASTRUCTURE RECOVERY |
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NATURAL DISASTERS STORM FLOODING SOCIAL SECTORS INFRASTRUCTURE RECOVERY NATURAL DISASTERS STORM FLOODING SOCIAL SECTORS INFRASTRUCTURE RECOVERY World Bank Libya Storm and Flooding 2023 |
description |
The objective of the RDNA is to
estimate the impact of the storm and floods on physical
assets and service delivery in the most affected areas and
take stock of the ensuing recovery needs. The RDNA covers 20
municipalities and provides indepth analysis of the five
most affected cities (Derna, Soussa, Al-Bayda, Al-Marj, and
Shahhat) The RDNA employs an assessment methodology
developed by the WB, EU and UN that has been successfully
applied in numerous disaster-affected countries around the
World. The RDNA relies largely on satellite imagery based
data, social media analytics and other means of remote data
collection. Despite extensive efforts to maximize the
accuracy and reliability of the data collected and utilized
for the RDNA, the recovery planning and implementation
phases will provide an opportunity to further improve upon
the RDNA data through more comprehensive ground damage
surveys. The RDNA provides sector specific strategies for
green, resilient, inclusive, and sustainable recovery. Based
on these sector-specific strategies, it identifies and
quantifies needs for several sectors, distributed, and
sequenced across the short-term (0–12 months) and
medium-term (1–3 years). These sectors encompass Social
Sectors (Housing, Education, Health, Poverty, and Social
Protection, and Jobs), Productive Sectors (Agriculture and
Financial), Infrastructure Sectors (Energy, Transport,
Telecommunications and Digital Development, Water and
Sanitation, and Water Resource Management, and Municipal
Services), as well as Cross-Cutting Sectors (Environment,
Impact on Women and Men, Governance and Public Institutions,
Disaster and Climate Risk Management, and Social
Sustainability and Inclusion). The RDNA also analyses
macroeconomic and socioeconomic impacts of the floods to
anticipate how these are affecting the population’s
well-being. Although the scope of the RDNA is limited to
damages, losses and needs caused by the flood, the
recommended recovery measures attempt to contribute to
longer term stability and improved governance of the
disaster affected region. |
format |
Report |
topic_facet |
NATURAL DISASTERS STORM FLOODING SOCIAL SECTORS INFRASTRUCTURE RECOVERY |
author |
World Bank |
author_facet |
World Bank |
author_sort |
World Bank |
title |
Libya Storm and Flooding 2023 |
title_short |
Libya Storm and Flooding 2023 |
title_full |
Libya Storm and Flooding 2023 |
title_fullStr |
Libya Storm and Flooding 2023 |
title_full_unstemmed |
Libya Storm and Flooding 2023 |
title_sort |
libya storm and flooding 2023 |
publisher |
Washington, DC: World Bank |
publishDate |
2024-02-12 |
url |
http://documents.worldbank.org/curated/en/099353101242428521/IDU153d4e1711e33e145321b8881cf996ea3acf7 https://openknowledge.worldbank.org/handle/10986/41039 |
work_keys_str_mv |
AT worldbank libyastormandflooding2023 AT worldbank rapiddamageandneedsassessment |
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1806032332299173888 |