{"id":31411,"date":"2026-01-06T17:00:00","date_gmt":"2026-01-06T11:30:00","guid":{"rendered":"https:\/\/cdri.world\/?p=31411"},"modified":"2026-01-06T17:23:19","modified_gmt":"2026-01-06T11:53:19","slug":"towards-resilient-power-infrastructure-in-odisha-strategies-for-effective-risk-identification-and-estimation","status":"publish","type":"post","link":"https:\/\/cdri.world\/fr\/towards-resilient-power-infrastructure-in-odisha-strategies-for-effective-risk-identification-and-estimation\/","title":{"rendered":"Vers une infrastructure \u00e9lectrique r\u00e9siliente en Odisha : Strat\u00e9gies pour une identification et une estimation efficaces des risques\u00a0"},"content":{"rendered":"<p>This&nbsp;report evaluates Odisha\u2019s power infrastructure vulnerability to cyclones and floods. It uses hazard zonation maps, exposure analysis, and vulnerability scoring to&nbsp;identify&nbsp;critical transmission and distribution assets.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Findings reveal that coastal districts like Puri,&nbsp;Kendrapada,&nbsp;Jagatsinghpur, and Ganjam face wind speeds exceeding 60 m\/s and severe flooding, with up to 30% of substations and lines exposed. Ageing infrastructure, weak pole designs, and radial systems heighten risks. Multi-hazard assessments show substations and lines vulnerable to both hazards, requiring urgent reinforcement. Prioritization&nbsp;matrices rank&nbsp;assets for retrofitting, focusing on critical lines feeding essential services.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Recommendations include GIS-based asset inventories, systematic damage recording, micro-zonation, and IoT-enabled early warning systems. The study aims to guide investment planning and resilience strategies for Odisha\u2019s power sector and similar high-risk regions.&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>This&nbsp;report evaluates Odisha\u2019s power infrastructure vulnerability to cyclones and floods. It uses hazard zonation maps, exposure analysis, and vulnerability scoring to&nbsp;identify&nbsp;critical transmission and distribution assets.&nbsp;&nbsp; Findings reveal that coastal districts like Puri,&nbsp;Kendrapada,&nbsp;Jagatsinghpur, and Ganjam face wind speeds exceeding 60 m\/s and severe flooding, with up to 30% of substations and lines exposed. Ageing infrastructure, weak [&hellip;]<\/p>","protected":false},"author":7,"featured_media":31412,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[57,987],"tags":[],"class_list":["post-31411","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-power-report","category-power-report-india-project"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Towards Resilient Power Infrastructure in Odisha:\u00a0Strategies for Effective Risk Identification and Estimation\u00a0<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cdri.world\/fr\/towards-resilient-power-infrastructure-in-odisha-strategies-for-effective-risk-identification-and-estimation\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Towards Resilient Power Infrastructure in Odisha:\u00a0Strategies for Effective Risk Identification and Estimation\u00a0\" \/>\n<meta property=\"og:description\" content=\"This&nbsp;report evaluates Odisha\u2019s power infrastructure vulnerability to cyclones and floods. It uses hazard zonation maps, exposure analysis, and vulnerability scoring to&nbsp;identify&nbsp;critical transmission and distribution assets.&nbsp;&nbsp; Findings reveal that coastal districts like Puri,&nbsp;Kendrapada,&nbsp;Jagatsinghpur, and Ganjam face wind speeds exceeding 60 m\/s and severe flooding, with up to 30% of substations and lines exposed. Ageing infrastructure, weak [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cdri.world\/fr\/towards-resilient-power-infrastructure-in-odisha-strategies-for-effective-risk-identification-and-estimation\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-01-06T11:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-06T11:53:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dymez6ioe12by.cloudfront.net\/media\/wp-content\/uploads\/2026\/01\/06171911\/CDRI-Risk-identification-and-estimation-355-x-518-.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"355\" \/>\n\t<meta property=\"og:image:height\" content=\"518\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Aditya Patwa\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Aditya Patwa\" 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