FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327732303> ?p ?o ?g. }

• W4327732303 abstract "Introduction Data indicate an increase in the number of natural disasters in Brazil, with a large share of these events occurring in the state of Minas Gerais. This study examines precipitation-related natural disasters recorded between 1991 and 2016 in Minas Gerais by identifying municipality profiles (encompassing the number of droughts, flash floods, and flooding events), their sensitivity to geophysical and extreme climatic exposure, and their relation to sociodemographic and infrastructure characteristics. Methods We combine climate data on seven extreme rainfall indices with elevation data for each municipal seat. We obtained data on droughts, flash floods, and floods from the Center for Engineering and Civil Defense Research and Studies. Population and socio-sanitary characteristics were obtained from the 2010 Brazilian Demographic Census. First, we modeled the climatic-geo-socio-sanitary data using latent class analysis as a pure latent cluster model (LCM) without covariates on seven extreme precipitation indices coupled with altitude data. Subsequently, the LCM was used to identify precipitation-related disaster clusters, including clusters from the 1S-LCM as an active covariate (2S-LCM). Finally, we utilized sociodemographic and infrastructure variables simultaneously with the clusters from the 2S-LCM on an LCM without active covariates (3S-LCM). Results Our results show an increase in precipitation-related disasters in Minas Gerais, with municipalities located in the northern part of the state being particularly affected. The state registered 5,553 natural disasters in this period, with precipitation-related disasters representing 94.5% of all natural disasters. The 1S-LCM identified four homoclimatic zones, encompassing a low-altitude dry zone, a relatively low-altitude intermediately wet zone, a relatively high-altitude intermediately wet zone, and a high-altitude wet zone. The 2S-LCM produced four precipitation-related disaster classes, denominated low risk, high risk of excess precipitation, intermediate risk of precipitation deficit and excess, and high risk of precipitation deficit. Discussion Cities with better infrastructure and sociodemographic profiles in semi-arid regions are more resilient to droughts. In richer areas, floods are still a concern where incomplete urbanization transitions may undermine resilience to these events as they increase in intensity with the advance of climate change." @default.
• W4327732303 created "2023-03-18" @default.
• W4327732303 creator A5021877921 @default.
• W4327732303 creator A5024008899 @default.
• W4327732303 creator A5044379309 @default.
• W4327732303 creator A5071336683 @default.
• W4327732303 creator A5086919108 @default.
• W4327732303 creator A5091254091 @default.
• W4327732303 date "2023-03-17" @default.
• W4327732303 modified "2023-10-18" @default.
• W4327732303 title "Profiling sociodemographic attributes and extreme precipitation events as mediators of climate-induced disasters in municipalities in the state of Minas Gerais, Brazil" @default.
• W4327732303 cites W1122752726 @default.
• W4327732303 cites W1426947849 @default.
• W4327732303 cites W1512943798 @default.
• W4327732303 cites W1566048040 @default.
• W4327732303 cites W180836830 @default.
• W4327732303 cites W1896552550 @default.
• W4327732303 cites W1963796430 @default.
• W4327732303 cites W1966757792 @default.
• W4327732303 cites W1972880441 @default.
• W4327732303 cites W1985718783 @default.
• W4327732303 cites W2008157089 @default.
• W4327732303 cites W2008964169 @default.
• W4327732303 cites W2018163757 @default.
• W4327732303 cites W2018516812 @default.
• W4327732303 cites W2019091667 @default.
• W4327732303 cites W2023531412 @default.
• W4327732303 cites W2027144491 @default.
• W4327732303 cites W2038526668 @default.
• W4327732303 cites W2044104068 @default.
• W4327732303 cites W2056908089 @default.
• W4327732303 cites W2061736358 @default.
• W4327732303 cites W2079389278 @default.
• W4327732303 cites W2084767784 @default.
• W4327732303 cites W2093404005 @default.
• W4327732303 cites W2106296184 @default.
• W4327732303 cites W2113087669 @default.
• W4327732303 cites W2113386545 @default.
• W4327732303 cites W2127863921 @default.
• W4327732303 cites W2149349752 @default.
• W4327732303 cites W2277516056 @default.
• W4327732303 cites W2284157538 @default.
• W4327732303 cites W2296298476 @default.
• W4327732303 cites W2311237256 @default.
• W4327732303 cites W2398291382 @default.
• W4327732303 cites W2423023606 @default.
• W4327732303 cites W2468181943 @default.
• W4327732303 cites W2474487575 @default.
• W4327732303 cites W2487877259 @default.
• W4327732303 cites W2556911814 @default.
• W4327732303 cites W2568987461 @default.
• W4327732303 cites W2599454668 @default.
• W4327732303 cites W2737193766 @default.
• W4327732303 cites W2746860478 @default.
• W4327732303 cites W2787407864 @default.
• W4327732303 cites W2791302755 @default.
• W4327732303 cites W2791992042 @default.
• W4327732303 cites W2889256094 @default.
• W4327732303 cites W2945627979 @default.
• W4327732303 cites W2947206599 @default.
• W4327732303 cites W2953537064 @default.
• W4327732303 cites W2960959845 @default.
• W4327732303 cites W2962435336 @default.
• W4327732303 cites W2963259601 @default.
• W4327732303 cites W2972989190 @default.
• W4327732303 cites W3005507361 @default.
• W4327732303 cites W3015268263 @default.
• W4327732303 cites W3036200641 @default.
• W4327732303 cites W3039574307 @default.
• W4327732303 cites W3042077965 @default.
• W4327732303 cites W3042837884 @default.
• W4327732303 cites W3048113872 @default.
• W4327732303 cites W3084024769 @default.
• W4327732303 cites W3088479969 @default.
• W4327732303 cites W3092034370 @default.
• W4327732303 cites W3096553279 @default.
• W4327732303 cites W3103561738 @default.
• W4327732303 cites W3109137045 @default.
• W4327732303 cites W3114502353 @default.
• W4327732303 cites W3121797633 @default.
• W4327732303 cites W3135042008 @default.
• W4327732303 cites W3138077204 @default.
• W4327732303 cites W3172623348 @default.
• W4327732303 cites W3194888536 @default.
• W4327732303 cites W3206647436 @default.
• W4327732303 cites W3211338293 @default.
• W4327732303 cites W3213821757 @default.
• W4327732303 cites W4200245814 @default.
• W4327732303 cites W4206399829 @default.
• W4327732303 cites W4225271196 @default.
• W4327732303 cites W4233283252 @default.
• W4327732303 cites W4240214704 @default.
• W4327732303 cites W4241597561 @default.
• W4327732303 cites W4293787818 @default.
• W4327732303 cites W4306362359 @default.
• W4327732303 cites W4311684512 @default.
• W4327732303 doi "https://doi.org/10.3389/fhumd.2023.1138277" @default.
• W4327732303 hasPublicationYear "2023" @default.
• W4327732303 type Work @default.
• W4327732303 citedByCount "0" @default.

• next