Environmental conservation of river basins in general is essential for water quality and ecological maintenance, especially in spring areas. Despite being characterized as a Conservation Unit (CU) of Sustainable Use (SU), the Uberaba River Basin highlands are highly influenced by anthropic activities. The aim of this study was to determine different levels of conservation required to maintain environmental quality. The Multicriteria evaluation method was used as follows: i) applied fuzzy membership functions to standardization of the continuous data values or reclassified when categorical criteria; (ii) established criteria ranking through the pairwise relative importance comparison approach by the Analytical Hierarchy Process (AHP) method and; (iii) performed Weighted Linear Combination (WLC). The selected criteria were maps of the: land cover obtained by supervised classification of a satellite image, with 94% of Kappa Index of Agreement (KIA); soil types, slope; distances from rivers, roads; railways and urban limits. A main outcome of the criteria evaluated is a map of continuous data values expressing distinct levels of environmental conservation requirements. The highest values that express the need for conservation occurred near the ridgetop, corresponding to forest land cover, high slope and hydromorphic soils. The lowest values were observed in the peri-urban areas, in more stable soil and soil cover with a higher degree of occupation. It is concluded that the resulting map can assist in decision-making regarding proper management of the area, to achieve sustainability in the application of occupation policies.
A cobertura do solo e sua temperatura superficial estão associadas; portanto, alterações provocam mudança microclimática devido emissão de radiação eletromagnética na faixa termal. Neste estudo objetivou-se analisar a relação da cobertura do solo com a Temperatura Superficial Aparente (TSA) em área periurbana do cerrado através de imagens de satélite. Por meio de procedimentos de Processamento Digital de Imagens como a classificação supervisionada que determinou as tipologias de cobertura do solo, bem como operações aritméticas que produziram imagens de temperatura da superfície em graus Celsius, avaliou-se sua relação em duas épocas distintas: 1985 e 2011. Os resultados demonstram que para o ano de 1985, dos cinco grupos de amostras de cobertura do solo, Pastagem apresentou-se de forma expressiva em 50% da área. De 1985 para 2011 verificou-se aumento de área para as classes de Pastagem, Vegetação Nativa e Área Urbana; e, de redução de área para as classes Solo Exposto e Cultura Agrícola. Em relação à TSA, as médias de temperatura das classes sofreram aumentos significativos. As diferenças das médias para cada classe, foram: Pastagem (+4,65 °C), Vegetação Nativa (+4,25 °C), Área Urbana (+4,87 °C), Solo Exposto (+5,33 °C) e Cultura Agrícola (+1,48 °C). As maiores TSA destacam-se nas classes Solo Exposto e Área Urbana, enquanto as menores nas classes com cobertura vegetal, como cultura agrícola e vegetação nativa.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.