{"id":658,"date":"2023-01-25T07:31:53","date_gmt":"2023-01-25T07:31:53","guid":{"rendered":"https:\/\/garslab.com\/?p=658"},"modified":"2023-12-27T03:47:28","modified_gmt":"2023-12-27T03:47:28","slug":"global-coastal-nuclear-power-plant-thermal-plume-gcnt-plume","status":"publish","type":"post","link":"https:\/\/garslab.com\/?p=658","title":{"rendered":"Global Coastal Nuclear Power Plant Thermal Plume"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Basic descriptions<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The GCNT-Plume dataset provides a&nbsp;comprehensive spatial distribution of the long-term occurrence and temperature increments of thermal plumes discharged from a total of 74 discharge outlets associated with 66 nuclear power plants located along global coastlines and the Great Lakes during their operational periods. This dataset is generated by segmenting thermal anomalies observed in Landsat satellite thermal infrared images, utilizing the U-Net model, and incorporating prior knowledge such as the locations of drainage outlets. The dataset can serve as a baseline for on-site sampling and dynamic process modeling, facilitating in-depth research into the impact of anthropogenic thermal discharges on aquatic ecosystems.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"667\" height=\"870\" src=\"http:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/10-1.jpg\" alt=\"\" class=\"wp-image-855\" style=\"width:839px;height:auto\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/10-1.jpg 667w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/10-1-230x300.jpg 230w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/10-1-115x150.jpg 115w\" sizes=\"auto, (max-width: 667px) 100vw, 667px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Data download<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The Global Coastal Nuclear power plant Thermal Plume (GCNT-Plume) dataset can be obtained through the zenodo platform:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/zenodo.org\/records\/8144425\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/zenodo.org\/records\/8144425<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Related Publications<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Wei, J., Feng, L.*, Tong, Y.*, Xu, Y., &amp; Shi, K. (2023). Long-term observation of global nuclear power plants thermal plumes using Landsat images and deep learning. Remote Sensing of Environment, 295, 113707.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425723002584\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425723002584<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Basic descriptions The GCNT-Plume dataset provides a&nbsp;comprehensive spatial distribution of the long-term occurrence and temperature increments of thermal plumes discharged from a total of 74 discharge outlets associated with 66 nuclear power plants located along global coastlines and the Great Lakes during their operational periods. This dataset is generated by segmenting thermal anomalies observed in<\/p>\n","protected":false},"author":2,"featured_media":661,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,20],"tags":[],"class_list":["post-658","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data","category-physical-parameters"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Global Coastal Nuclear Power Plant Thermal Plume - Global Aqua Remote Sensing (GARS) laboratory<\/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:\/\/garslab.com\/?p=658\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Global Coastal Nuclear Power Plant Thermal Plume - Global Aqua Remote Sensing (GARS) laboratory\" \/>\n<meta property=\"og:description\" content=\"Basic descriptions The GCNT-Plume dataset provides a&nbsp;comprehensive spatial distribution of the long-term occurrence and temperature increments of thermal plumes discharged from a total of 74 discharge outlets associated with 66 nuclear power plants located along global coastlines and the Great Lakes during their operational periods. 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