Supporting Energy-Related Societal Applications Using NASAs Satellite and Modeling Data

Stackhouse, Paul W.; Eckman, Richard S.; Zhang, T.; Mikovitz, J. C.; Whitlock, C. H.; Chandler, William S.; Hoell, J. M.; Leng, Gregory J.; Lilienthal, Peter

doi:10.1109/igarss.2006.113

Cited by 11 publications

(8 citation statements)

References 8 publications

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“…Global maps of treatment time to achieve 99.99% inactivation of bacteriophage MS2 using 5 μM erythrosine or 50 μM riboflavin were calculated based on solar irradiance and plotted using R Statistical Computing Software. Data of monthly and annual averages of global irradiation at the Earth’s surface over a 22 year period (July 1983–June 2005) were obtained from the NASA Langley Research Center Atmospheric Science Data Center Surface Meteorological and Solar Energy (SSE). − The data were provided for eight times of day at 3 h intervals at 1° × 1° resolution. The maximum irradiation of these eight times was taken for each global coordinate pair and was defined as the “local average maximum daily irradiance” (LAMDI) and was used to scale inactivation times accordingly.…”

Section: Methodsmentioning

confidence: 99%

Edible Dye-Enhanced Solar Disinfection with Safety Indication

Ryberg

Chu

Kim

2018

Environ. Sci. Technol.

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The rural developing world faces disproportional inequity in drinking water access, where point-of-use water treatment technologies often fail to achieve adequate levels of pathogen removal, especially for viruses. Solar disinfection (SODIS) is practiced because of its universal applicability and low implementation cost, though the excessively long treatment time and lack of safety indication hinder wider implementation. This study presents an enhanced SODIS scheme that utilizes erythrosinea common food dyeas a photosensitizer to produce singlet oxygen for virus inactivation and to indicate the completion of water disinfection through photobleaching color change. Experimental results and predictions based on global solar irradiance data suggest that over 99.99% inactivation could be achieved within 5 min in the majority of developing countries, reducing the time for SODIS by 2 orders of magnitude. Preserving the low cost of traditional SODIS, erythrosine embodies edible dye-enhanced SODIS, an efficient water disinfection method that could potentially be used by governments and non-governmental organizations to improve drinking water quality in rural developing communities.

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Section: Methodsmentioning

confidence: 99%

Edible Dye-Enhanced Solar Disinfection with Safety Indication

Ryberg

Chu

Kim

2018

Environ. Sci. Technol.

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“…O grid do sistema NASA-POWER é de 0,5° x 0,5° (aproximadamente 56 km x 56 km) e os dados são provenientes de vários sistemas globais de medidas de superfície e de sensoriamento remoto, como também de modelagem meteorológica. Para mais detalhes, verificar em Stackhouse (2018). Casos de COVID19 é o número de casos cumulativos, T é a temperatura do ar (°C), UR é a umidade relativa (%), V é a velocidade do vento (m s-1), POP é a população demográfica, NC é novos casos, ND é novas mortes, e são estatísticas de erro.…”

Section: Methodsunclassified

Condições climáticas e a dinâmica do COVID-19 no Brasil usando modelagem estatística

Pioli,

Nogueira,

Miranda

et al. 2024

CLCS

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A COVID-19 é caracterizada por uma síndrome respiratória com um grau variável de gravidade, associada à infecções pelo patógeno SARS-CoV-2. Já é conhecido que o tempo frio e seco é propício para a sobrevivência e disseminação de doenças infecciosas mediadas por gotículas. Assim, objetivou-se com o trabalho estudar a relação entre variáveis climáticas e o número de casos à COVID-19 no Brasil usando regressão linear múltipla. As variáveis e indicadores climatológicos relacionados à COVID-19 foram obtidos para todas as capitais brasileiras. As variáveis relacionadas à pandemia foram retiradas do Ministério da Saúde (https://covid.saude.gov.br/), que são: casos acumulados (AC) e óbitos acumulados (AD), novos casos (NC) e novos óbitos (ND), e também população demográfica, obtida do Instituto Brasileiro de Geografia e Estatística (IBGE, 2019). Os dados climatológicos foram obtidos da plataforma NASA-POWER para o mesmo período e para cada capital do Estado (27 localidades) totalizando 1674 dias amostrais. A estimação do número de casos de COVID-19 foi feita com um modelo utilizando o método estatístico-matemático de Regressão Linear Múltipla com regressão stepwise forward. A métrica a ser utilizada para verificação do grau de aprendizagem e a avaliação da performance do modelo de previsão dos casos de covid por toda Brasil será a precisão pelo Coeficiente de Determinação Ajustado (R2Ajustado). O modelo para prever os índices de covid no Brasil foi acurado e teve um coeficiente de determinação ajustado (R2 ajustado) de 0,891 e foi significativo pelo teste F a 5% de probabilidade. Todas as variáveis climáticas consideradas no estudo (temperatura do ar, umidade relativa atmosférica, e velocidade dos ventos) apresentaram correlação significativa com a incidência da COVID-19.

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“…The main datasets used for the study comprised of long-term sunshine duration measurements cycle Experiment (GEWEX), Surface Radiation Budget (SRB) project (Version 2.9) and the Global Modeling and Assimilation Office (GMAO) [17]. The datasets are widely used in renewable energy application [16,20], agricultural modelling of crop yields [29], crop simulation exercises [30], and plant disease modelling [31].…”

Section: Research Datasetsmentioning

confidence: 99%

Assessment of solar radiation resource from the NASA-POWER reanalysis products for tropical climates in Ghana towards clean energy application

Dogbey

Asilevi

Boakye

et al. 2022

Preprint

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In order to expand the output of solar power systems for efficient integration into the national grid, solar energy resource assessment at site is required. A major impediment however, is the widespread scarcity of radiometric measurements, which can be augmented by satellite observation. This paper assessed the suitability of satellite-based solar radiation resource retrieved from the NASA-POWER archives at \(0.5^\circ \times 0.5^\circ\) spatial resolution over Ghana - West Africa, to develop a long-term source reference. The assessment is based on the criteria of comparison with estimations from sunshine duration measurement for 22 synoptic stations. Overall, the satellite-based data compared well with ground-based estimations by r = 0.6–0.94 ± 0.1. Spatiotemporally, the agreement is strongest over the northern half Savannah-type climate during March-May, and weakest over the southern half Forest-type climate during June-August. The assessment provides empirical framework to support solar energy utilization in the sub-region.

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Supporting Energy-Related Societal Applications Using NASAs Satellite and Modeling Data

Cited by 11 publications

References 8 publications

Edible Dye-Enhanced Solar Disinfection with Safety Indication

Edible Dye-Enhanced Solar Disinfection with Safety Indication

Condições climáticas e a dinâmica do COVID-19 no Brasil usando modelagem estatística

Assessment of solar radiation resource from the NASA-POWER reanalysis products for tropical climates in Ghana towards clean energy application

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