{"id":4125,"date":"2024-06-10T13:55:14","date_gmt":"2024-06-10T13:55:14","guid":{"rendered":"https:\/\/brasil.mapbiomas.org\/?p=4125"},"modified":"2024-07-18T23:44:12","modified_gmt":"2024-07-18T23:44:12","slug":"dois-tercos-dos-municipios-do-rio-grande-do-sul-foram-afetados-pelos-eventos-extremos-deste-ano","status":"publish","type":"post","link":"https:\/\/brasil.mapbiomas.org\/en\/2024\/06\/10\/dois-tercos-dos-municipios-do-rio-grande-do-sul-foram-afetados-pelos-eventos-extremos-deste-ano\/","title":{"rendered":"Two thirds of Rio Grande do Sul's municipalities were affected by this year's extreme events"},"content":{"rendered":"<p><strong><em>Around one million hectares of land used for agricultural production have been affected, according to MapBiomas' latest technical note, which comes with a toolkit to support managers and technicians working in the emergency<\/em><\/strong><\/p>\n\n\n\n<p><strong>June 10th, 2024<\/strong><\/p>\n\n\n\n<p>Almost two thirds (61%) of the municipalities in Rio Grande do Sul were affected, to a greater or lesser degree, by the extreme weather events in April and May this year. This is shown by images from various satellite systems collected, analyzed and validated by MapBiomas technicians. In all, the area affected by mass movements, such as landslides, as well as torrents, floods and waterlogging in the last two months was estimated at 15,778 km2 - equivalent to 5.6% of the state's 281,748 km2.&nbsp;<\/p>\n\n\n\n<p>Detailed data on extension by municipality, type of land cover and land use are available at <a href=\"https:\/\/brasil.mapbiomas.org\/en\/notas-tecnicas\/\">MapBiomas website<\/a>, incluindo&nbsp;a <a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1DwC8lEKvJZJk0K2UwDSkNfYImVYP1tqd\/edit?usp=sharing&amp;ouid=112675741132441021376&amp;rtpof=true&amp;sd=true\">planilha&nbsp;de estat\u00edsticas <\/a>and a <a href=\"https:\/\/mapbiomas-workspace.earthengine.app\/view\/rio-grande-do-sul-climate-emergency-toolkit\">toolkit<\/a> for viewing, consulting and downloading maps developed to support managers, technicians and professionals working in emergencies.<\/p>\n\n\n\n<p>Um total de 298 munic\u00edpios tiveram pelo menos 1% do territorio afetado pelos eventos extremos dos \u00faltimos dois meses.&nbsp; Destes, 73 munic\u00edpios tiveram mais de 10% do territ\u00f3rio atingido, sendo 34 com mais de 20%. No caso de Nova Santa Rita e Canoas, mais da metade: 52,5% e 50,1%, respectivamente.<\/p>\n\n\n\n<p>The data shows that areas used for agricultural production in the state were the most affected: more than one million hectares, or 64.2% of the total occupied by these activities in Rio Grande do Sul. Almost 20% of the countryside was also affected.&nbsp;<\/p>\n\n\n\n<p>Dos 497 munic\u00edpios do Rio Grande do Sul, 234 tiveram sua \u00e1rea urbana atingida. Dois ter\u00e7os deles (67%, ou 158 munic\u00edpios) tiveram menos de 1% de suas \u00e1reas urbanizadas atingidas.&nbsp; Em um caso \u2013 Eldorado do Sul \u2013 a&nbsp; \u00e1rea afetada superou 66%. Em Mampituba foram 49,5% e em Canoas, 42,4%. Em rela\u00e7\u00e3o \u00e0 totalidade do territ\u00f3rio afetado no estado, 0,8% corresponde a \u00e1reas urbanizadas. Mas quando se olha para a totalidade da \u00e1rea urbanizada do Rio Grande do Sul, 5% foram atingidos.&nbsp;<\/p>\n\n\n\n<p>The affected area was mapped by processing and analyzing satellite images taken by optical and radar sensors before and immediately after the severe rainfall events. The map of the affected area was then superimposed on the land cover and use map from the Beta MapBiomas 10 meter collection, from the year 2022, to identify and calculate the extent of the cover and use classes in the affected area. The result is data at various spatial levels (state, river basin, biome and municipality) that provides useful information for assessing and making decisions regarding the affected areas and for defining actions at various time horizons.<\/p>\n\n\n\n<p>MapBiomas technicians warn that these data may have limitations resulting from the method and characteristics of the data sources used, such as satellite images with different spatial resolution, for example. For this reason, the extent reached may be overestimated at some points, especially in some higher rural areas, where temporarily saturated soils were included due to the similar response to a sheet of water. In the case of urban areas, the figures may be underestimated due to the difficulty of detecting the presence of a sheet of water in the midst of buildings. In the case of flooded areas in the south of the state, the figures may be out of date because the highest level occurred after the period when the images used were taken.&nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/NT_Evento_climatico_extremo_RS_maio_2024_Final.pptx.pdf\">MapBiomas technical note<\/a> destaca tamb\u00e9m que&nbsp; eventos extremos, como vendavais e precipita\u00e7\u00f5es intensas, s\u00e3o mais frequentes no Rio Grande do Sul durante as esta\u00e7\u00f5es de transi\u00e7\u00e3o, como primavera e outono. Proje\u00e7\u00f5es do Painel Intergovernamental sobre Mudan\u00e7a do Clima-IPCC&nbsp; indicam tend\u00eancia de aumento na precipita\u00e7\u00e3o e na frequ\u00eancia de eventos severos. As normais climatol\u00f3gicas do INMET dos per\u00edodos de 1961-1990 e de 1991-2020 confirmam que praticamente todas as regi\u00f5es do estado j\u00e1 apresentaram mudan\u00e7as nessa dire\u00e7\u00e3o, algumas delas com at\u00e9 300 mm de aumento na precipita\u00e7\u00e3o anual entre os dois per\u00edodos.&nbsp;<\/p>\n\n\n\n<p>The note also points out that Rio Grande do Sul's climate is also influenced by the El Ni\u00f1o and La Ni\u00f1a phenomena, which cause marked inter-annual variability, especially in rainfall. In years under the influence of La Ni\u00f1a, there tends to be a reduction in rainfall and droughts; in El Ni\u00f1o years, rainfall tends to occur in greater volume and intensity, and it can rain in a single day the equivalent of the monthly average. This was the case during the most recent El Ni\u00f1o, when there were four severe rainfall events in Rio Grande do Sul: June 2023, in the Rio dos Sinos Valley and the North Coast; September 2023, in the Taquari-Antas River Valley; November 2023, in the Taquari-Antas and Ca\u00ed river valleys, in the Serra Ga\u00facha and the Metropolitan Region; and April-May 2024, covering practically the entire state.&nbsp;<\/p>\n\n\n\n<p>The rainfall during the last event was extreme in both volume and intensity. Records from ANA, CEMADEN and INMET rain gauges exceeded 500 mm in two weeks in much of Rio Grande do Sul, and totaled more than 1,000 mm in some places. The enormous amount of rainfall in a short period of time caused mass movements and rapid flooding, with a large rise in river levels in the mountainous regions, and prolonged and extensive flooding in the lower regions.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cerca de um milh\u00e3o de hectares de \u00e1reas usadas para produ\u00e7\u00e3o agropecu\u00e1rias foram afetadas segundo a mais recente nota t\u00e9cnica do MapBiomas, que vem acompanhada por um toolkit para apoiar gestores e t\u00e9cnicos que est\u00e3o trabalhando na emerg\u00eancia 10 de junho de 2024 Quase dois ter\u00e7os (61%) dos munic\u00edpios do Rio Grande do Sul foram [&hellip;]<\/p>","protected":false},"author":17,"featured_media":4126,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":""},"categories":[1],"tags":[],"acf":[],"uagb_featured_image_src":{"full":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1.jpeg",1080,1080,false],"thumbnail":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1-400x300.jpeg",400,300,true],"medium":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1-300x300.jpeg",300,300,true],"medium_large":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1-768x768.jpeg",768,768,true],"large":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1-1024x1024.jpeg",1024,1024,true],"1536x1536":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1.jpeg",1080,1080,false],"2048x2048":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1.jpeg",1080,1080,false],"trp-custom-language-flag":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1-12x12.jpeg",12,12,true],"infographic":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1-970x545.jpeg",970,545,true],"team":["https:\/\/brasil.mapbiomas.org\/wp-content\/uploads\/sites\/4\/2024\/06\/WhatsApp-Image-2024-06-04-at-15.15.57-1-370x370.jpeg",370,370,true]},"uagb_author_info":{"display_name":"isabelakiesel","author_link":"https:\/\/brasil.mapbiomas.org\/en\/author\/isabelakiesel\/"},"uagb_comment_info":89,"uagb_excerpt":"Cerca de um milh\u00e3o de hectares de \u00e1reas usadas para produ\u00e7\u00e3o agropecu\u00e1rias foram afetadas segundo a mais recente nota t\u00e9cnica do MapBiomas, que vem acompanhada por um toolkit para apoiar gestores e t\u00e9cnicos que est\u00e3o trabalhando na emerg\u00eancia 10 de junho de 2024 Quase dois ter\u00e7os (61%) dos munic\u00edpios do Rio Grande do Sul foram&hellip;","_links":{"self":[{"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/posts\/4125"}],"collection":[{"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/comments?post=4125"}],"version-history":[{"count":2,"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/posts\/4125\/revisions"}],"predecessor-version":[{"id":4393,"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/posts\/4125\/revisions\/4393"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/media\/4126"}],"wp:attachment":[{"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/media?parent=4125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/categories?post=4125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brasil.mapbiomas.org\/en\/wp-json\/wp\/v2\/tags?post=4125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}