{"id":4482,"date":"2023-08-21T19:10:38","date_gmt":"2023-08-21T19:10:38","guid":{"rendered":"https:\/\/dailyai.com\/?p=4482"},"modified":"2023-08-22T08:53:30","modified_gmt":"2023-08-22T08:53:30","slug":"googles-ai-flood-detection-system-predicts-floods-four-days-in-advance","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nl\/2023\/08\/googles-ai-flood-detection-system-predicts-floods-four-days-in-advance\/","title":{"rendered":"Google's AI-systeem voor overstromingsdetectie voorspelt overstromingen vier dagen van tevoren"},"content":{"rendered":"<p><b>Google's AI die overstromingen voorspelt, de \"Flood Hub\", kan nu mogelijke overstromingen vier dagen van tevoren voorspellen, zelfs in regio's waar waterstromingsgegevens schaars zijn, zoals Zuid-Amerika en Afrika.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">In sommige gevallen zijn er veel gegevens beschikbaar, <\/span><a href=\"https:\/\/sites.research.google\/floodforecasting\/\"><span style=\"font-weight: 400;\">Google's AI voor het voorspellen van overstromingen<\/span><\/a><span style=\"font-weight: 400;\"> kan overstromingen zo'n zeven dagen voor de ramp voorspellen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Van oudsher is de nauwkeurigheid van overstromingsvoorspellingen afhankelijk van de beschikbaarheid van nauwkeurige gegevens over het waterdebiet. Terwijl welvarende regio's vaak toegang hebben tot deze cruciale informatie, hebben veel gebieden, vooral in landen met een lager inkomen, dat niet.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Zoals beschreven in een <\/span><a href=\"https:\/\/arxiv.org\/pdf\/2307.16104.pdf\"><span style=\"font-weight: 400;\">recente krant<\/span><\/a><span style=\"font-weight: 400;\">De nieuwste methoden van Google hebben de effectiviteit van het systeem enorm verbeterd op plaatsen waar gegevens schaars zijn.\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/arxiv.org\/pdf\/2307.16104.pdf\"><span style=\"font-weight: 400;\">Overstroming Hub<\/span><\/a><span style=\"font-weight: 400;\"> werd in 2018 in het leven geroepen voor landen die gevoelig zijn voor overstromingen, zoals India en Bangladesh.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Grey Nearing en zijn collega's bij Google hebben het systeem sindsdien verbeterd door openbaar beschikbare stroomgegevens van de Wereld Meteorologische Organisatie en weersvoorspellingen op de grond en via satellieten te integreren.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nearing benadrukte de progressie van het hulpmiddel: \"Een van de beperkingen van traditionele hydrologiemodellen is dat ze vooral echt nauwkeurig zijn op plaatsen waar ze goed gekalibreerd zijn.\" <\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"AI-modellen, ook al zijn ze gegevensgestuurd, leren algemeen hydrologisch gedrag en zijn beter in staat om van de ene locatie naar de andere te gaan.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nearing en zijn team voerden uitgebreide tests uit op het AI-systeem met behulp van meer dan 5000 waterdebietmetingen tussen 1984 en 2021. Opmerkelijk genoeg waren voorspellingen die vier dagen vooruit werden gedaan net zo nauwkeurig als wat de meeste huidige systemen op dezelfde dag konden schatten.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nearing merkte op: \"Als je naar onze Flood Hub gaat en je bekijkt de voorspellingen voor over vier dagen, dan krijg je informatie die ongeveer net zo nauwkeurig is als de informatie die je uit het bestaande systeem zou hebben gekregen als je vandaag zou gaan zoeken.\" <\/span><\/p>\n<p><span style=\"font-weight: 400;\">U kunt <\/span><a href=\"https:\/\/sites.research.google\/floods\/l\/59.3329255363872\/10.171451329743743\/6\"><span style=\"font-weight: 400;\">ontdek de tool hier<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Op dit moment biedt Google's Flood Hub gegevens voor meer dan 460 miljoen mensen in meer dan 80 landen en verstuurt het sinds oktober 2022 waarschuwingen voor overstromingen.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Hoe Google's overstromingsmodellering in de loop der tijd is verbeterd<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Overstromingen zijn de meest voorkomende natuurramp, die jaarlijks ongeveer $10 miljard aan schade kost en het leven van talloze mensen be\u00efnvloedt, <\/span><a href=\"https:\/\/blog.google\/technology\/ai\/expanding-our-ml-based-flood-forecasting\/\"><span style=\"font-weight: 400;\">Google verklaarde<\/span><\/a><span style=\"font-weight: 400;\"> in 2021.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dat was v\u00f3\u00f3r de overstromingen in Pakistan, die <\/span><a href=\"https:\/\/www.reuters.com\/world\/asia-pacific\/initial-economic-losses-pakistan-floods-least-10-bln-planning-minister-2022-08-29\/#\"><span style=\"font-weight: 400;\">kosten zo'n $10bn<\/span><\/a><span style=\"font-weight: 400;\"> op zichzelf.<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"When Rivers Rise: Hoe AI helpt overstromingen te voorspellen\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/Mz0ikfuE_z0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h3><span style=\"font-weight: 400;\">Prognose wateranalyse<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">De hoeksteen van het voorspellen van overstromingen is het voorspellen van potenti\u00eble rivieroverstromingen. Hydrologische modellen, die waterniveaus of rivierafvoeren voorspellen op basis van input zoals neerslag of metingen stroomopwaarts, zijn onmisbaar.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Een ander model, het overstromingsmodel, simuleert het gedrag van het water terwijl het zich door de uiterwaarden verplaatst. Dit maakt een meer lokale analyse mogelijk van waar overstromingen kunnen toeslaan.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Neurale netwerken<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In 2020 introduceerde Google HydroNets, een unieke diepe neurale netwerkstructuur op maat voor voorspellingen van het waterpeil.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Door zichzelf te structureren rond het geanalyseerde riviernetwerk, stelt HydroNets stroomopwaarts gelegen locaties in staat om kritieke gegevens door te geven aan stroomafwaarts gelegen modellen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Google heeft onlangs een AI-model ontwikkeld om <a href=\"https:\/\/dailyai.com\/nl\/2023\/08\/google-and-american-airlines-collaborate-on-ai-to-reduce-polluting-contrails\/\">vliegtuigvervuiling verminderen<\/a>Dit onderstreept de toewijding van het bedrijf aan de ontwikkeling van nieuwe modellen voor voornamelijk <\/span><span style=\"font-weight: 400;\">niet-commerci\u00eble doeleinden.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>De overstromingsvoorspellende AI van Google, de \"Flood Hub\", kan nu mogelijke overstromingen vier dagen van tevoren voorspellen, zelfs in regio's waar gegevens over waterstromingen schaars zijn, zoals Zuid-Amerika en Afrika.  In sommige gevallen waar veel gegevens beschikbaar zijn, kan de overstromingsvoorspellende AI van Google overstromingen zeven dagen van tevoren voorspellen.  Historisch gezien is de nauwkeurigheid van overstromingsvoorspellingen gekoppeld aan de beschikbaarheid van nauwkeurige gegevens over waterstromingen. Terwijl welvarende regio's vaak toegang hebben tot deze kritieke informatie, hebben veel gebieden, vooral in landen met lagere inkomens, dat niet.  Zoals beschreven in een recent artikel, hebben de nieuwste methoden van Google de nauwkeurigheid van<\/p>","protected":false},"author":2,"featured_media":4483,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[127,163,102,105],"class_list":["post-4482","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai","tag-ai-risks","tag-google","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google\u2019s AI flood detection system predicts floods four days in advance | DailyAI<\/title>\n<meta name=\"description\" content=\"Google&#039;s flood prediction AI, dubbed the &quot;Flood Hub,&quot; can now forecast potential flooding events four days in advance, even in regions where water flow data is scarce, such as South America and Africa.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nl\/2023\/08\/googles-ai-flood-detection-system-predicts-floods-four-days-in-advance\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google\u2019s AI flood detection system predicts floods four days in advance | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google&#039;s flood prediction AI, dubbed the &quot;Flood Hub,&quot; 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