Medidas de temperatura e umidade relativa do ar são fundamentais para o entendimento das dinâmicas tanto do microclima como do clima de forma geral. Estudos recentes de microclima urbano avaliam sistemas alternativos para utilização como abrigos termo-higrométricos, buscando uma padronização das medidas assim como um possível material capaz de reproduzir medidas precisas e validas para temperatura e umidade relativa do ar. Nesse sentido, este trabalho propõe o desenvolvimento e validação de dois modelos de abrigos termo-higrométricos. Os dois modelos projetados (sextavado e quadrado) foram produzidos em impressora 3D (impressão de fio quente) com o material PLA (poliácido láctico). As medidas de temperatura e umidade relativa do ar obtidas com os modelos projetados foram avaliadas por modelos de regressões lineares. Os resultados estatísticos constataram por meio do índice de Willmott uma ótima concordância entre as medidas dos abrigos projetados e o abrigo de referência. Através do coeficiente de determinação foi verificado que todas as medidas realizadas pelos abrigos projetados explicam 99,9% das medidas de referência.Palavras-chave: material PLA, impressora 3D, índice de Willmott. DEVELOPMENT AND VALIDATION OF THERMO-HYGROMETRIC SHELTERS ABSTRACT: Measurements of temperature and relative humidity are fundamental for understanding the dynamics of both, microclimate and climate in a general way. Recent studies of urban microclimate evaluate alternative systems for use as thermo-hygrometer shelters, seeking a normalization of the measurements as well as a possible material capable of reproducing precise and valid measurements for temperature and relative humidity. In this sense, this work proposes the development and validation of two models of thermo-hygrometric shelters. The two designed models (hexagon and square), were produced on a 3D printer (hot wire printing) with PLA (Polilactic Acid) material. Linear regression models were used to evaluate the measurements of temperature and relative humidity of the air obtained with the projected models. Statistical results revealed a good concordance between the measurements of the projected shelters and the reference shelter using the Willmott index. The coefficient of determination corroborated that all measures carried out by the projected shelters explain 99.9% of the reference measurements.Keywords: material PLA, 3D printer, Willmott index.
The wet areas of the Pantanal provide important services such as water and carbon storage, improved water quality, and climate regulation. Analysis and monitoring of vegetated land and precipitation on a regional scale using remote sensing data can provide important information for the preservation of the landscape and biodiversity of the region. Thus, the purpose was to analyze characteristics of the green cycle of the vegetated surface and to what extent the vegetated surface responds to the variability of precipitation in the Pantanal. The areas include the regions of Cáceres (CAC), Poconé (POC), and Barão de Melgaço (BAM) in Mato Grosso. Time series of accumulated precipitation (PPT) and NDVI (Normalized Difference Vegetation Index) were used for the period from 2000 to 2016, obtained on NASA's Giovanni platform (National Aeronautics and Space Administration). The analysis of the wavelet transform was applied for NDVI data and there was cross-correlation analysis for PPT and NDVI data. The results showed that the highest correlation between PPT and NDVI was positive with a 1-month lag, but was significant with a lag of up to 3 months. The wavelet analyses showed that the largest wavelet powers occurred at the frequency between 0.5 and 1.3 years, i.e., the NDVI series presented the main variances on the approximately annual scale, indicating that these characteristics are important aspects of local phenology variability, such as cumulative green throughout the year and generalized senescence.
RESUMOA emissão de metano é um fator importante na gestão de áreas alagadas como o Pantanal. Zonas úmidas em todo o mundo contribuem para o ciclo global do CH4, emitindo cerca de um terço do CH4 global. No entanto, a dinâmica de CH4 na atmosfera acima do Pantanal, continua mal compreendida. Neste trabalho estudou-se a variabilidade de CH4 na atmosfera na região do Pantanal com base na série temporal de concentração de CH4 (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013), a partir de dados do sensor AIRS a bordo do satélite AQUA, e se analisou sua relação com a precipitação. A metodologia utilizada baseou-se em estatísticas descritivas que incluem médias semanais, anomalias baseadas na variância, correlação cruzada entre precipitação e concentração de CH4, e transformada wavelet. Os resultados mostraram que existe uma concentração média sazonal e a variabilidade da anormalidade de CH4 com uma precipitação é negativa. Variações sub-anuais de CH4 foram inversamente proporcionais às de precipitação, devido possivelmente ao aumento da concentração de hidroxila [OH-] durante a estação chuvosa, o que diminui o saldo de emissão de CH4. A análise wavelet permitiu observar um ciclo anual e interanual da concentração de CH4 entre 2009 a 2013.Palavras-chave: correlação cruzada, precipitação, wavelet. Methane concentration variability in Pantanal region in the MatoGrosso State using data from AQUA satellite ABSTRACT Methane emission is an important factor in the management of wet areas such as the Pantanal region. The temporal variability of CH4 concentrations on the Pantanal was therefore studied using remote sensing data from 2003 to 2013 from an AIRS sensor on board of AQUA satellite. Wetlands worldwide contribute to the overall CH4 cycle, emitting around one-third of the overall CH4. However, the dynamics of CH4 remain poorly understood in the Pantanal. This work studied the variability of CH4 in the atmosphere over the Pantanal of Mato Grosso, based on the time series of CH4 concentration (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013). The methodology used was based on descriptive statistics that included weekly averages, variance anomalies, cross-correlation between precipitation and concentration of CH4, and the transformed wavelet technique. The
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.