Arboriculture & Urban Forestry 46(3): May 2020 LITERATURE CITED ABRELPE—Associaçâo Brasileira de Empresas de Limpeza Pública e Rresíduos Especiais. 2014. Panorama dos resíduos sólidos no Brasil: 2014. São Paulo (Brazil): ABRELPE. [Accessed 2016 Mar 01]. http://www.abrelpe.org.br/ panorama_edicoes.cfm Akaike H. 1977. On entropy maximization principle. In: Krishaiah PR, editor. Application of statistics. Amsterdam (Netherlands): North-Holland. p. 27-41. Albuquerque TL, Silva Jr. IJ, Macedo GR, Rocha MVP. 2014. Biotechnological production of xylitol from lignocellulosic wastes: a review. Process Biochemistry. 49(11):1779-1789. Almeida AN, Souza VS, Loyola CE, Bittencourt MVL, Silva JCGL. 2009. Análise do preço externo do compensado paranaense através da metodologia de Box and Jenkins. Scientia Forestalis. 37(81):61-69. Andrade BS. 2013. Abordagem estatística em modelos para séries temporais de contagem [dissertation]. São Carlos (Brazil): Universidade Federal de São Carlos. 146 p. Antunes JLF, Cardoso MRA. 2015. Usos da análise de séries temporais em estudos epidemiológicos. Epidemiologia e Serviço de Saúde. 24(3):565-576. Araújo YRV, Góis ML, Coelho Jr. LM, Carvalho M. 2018. Carbon footprint associated with four disposal scenarios for urban pruning waste. Environmental Science and Pollution Research. 25:1863-1868. Araújo YRV, Moreira ZCG, Borges LAC, Souza AN, Coelho Jr. LM. 2019. Avaliação da arborização viária da cidade de João Pessoa, Paraíba, Brasil. Scientia Forestalis. 47(121):71-82. Benito M, Masaguer A, De Antonio R, Moliner A. 2005. Use of pruning waste compost as a component in soilless growing media. Bioresource Technology. 96(5):597-603. Bobrowski R, Biondi D. 2012. Caracterização do padrão de Plantio adotado na arborização de ruas de Curitiba, Paraná. Revista da Sociedade Brasileira de Arborização Urbana. 7(3):20-30. Box GEP, Jenkins GM. 1976. Time series analysis: forecasting and control. San Francisco (CA, USA): Holden-Day. 729 p. Box GEP, Pierce DA. 1970. Distribution of residuals autocor- relations in autoregressive-integrated moving average time series models. Journal of the American Statistical Association. 65(332):1509-1526. Bressan AA. 2004. Tomada de decisão em futuros agropecuários como modelos de previsão de séries temporais. RAE-Eletronica. 3(1):1-20. Carvalho BT, Melo CTMCB, Romero A, Khanmohammadi S, Carvalho M. 2019. Multicriteria optimization of renewable based polygeneration system for tertiary sector buildings. Environmen- tal Engineering and Management Journal. 18(11):2441-2453. Carvalho M, Delgado D. 2017. Potential of photovoltaic solar energy to reduce the carbon footprint of the Brazilian electric- ity matrix. LALCA-Revista Latino-Americana em Avaliação do Ciclo de Vida. 1(1):64-85. Carvalho M, Delgado DBM, Chacartegui R. 2016. Life cycle analysis as a decision criterion for the implementation of solar photovoltaic panels in as northeast Brazil hospital. In: Gram- melis P, editor. Energy, transportation and global warming. New York City (NY, USA): Springer International Publishing. p. 295-310. 171 Carvalho M, Lozano MA, Serra LM. 2012. Multicriteria synthesis of trigeneration systems considering economic and environ- mental aspects. Applied Energy. 91(1):245-254. Carvalho M, Romero A, Shields G, Millar DL. 2014. Optimal synthesis of energy supply systems for remote open pit mines. Applied Thermal Engineering. 64(1-2):315-330. Carvalho M, Segundo VBDS, Medeiros MGD, Santos NAD, Coelho Jr. LM. 2019. Carbon footprint of the generation of bio- electricity from sugarcane bagasse in a sugar and ethanol indus- try. International Journal of Global Warming. 17(3):235-251. Carvalho M, Serra LM, Lozano MA. 2011. Optimal synthesis of trigeneration systems subject to environmental constraints. Energy. 36(6):3779-3790. Carvalho M, Silva ES, Andersen SL, Abrahão R. 2016. Life cycle assessment of the transesterification double step process for biodiesel production from refined soybean oil in Brazil. Environ- mental Science and Pollution Research. 23(11):11025-11033. Coelho Jr. LM, Martins KLC, Carvalho M. 2018. Carbon footprint associated with firewood consumption in Northeast Brazil: an analysis by the IPCC 2013 GWP 100y Criterion. Waste and Biomass Valorization. 10:2985-2993. Coelho Jr. LM, Melquíades TF, Martins KLC, Santos Jr. EP, Freitas GP. 2018. Previsão do consumo de eletricidade no Nordeste Brasileiro. Engevista (UFF). 20:408-423. Coelho Jr. LM, Rezende JLP, Calegario N, Silva ML. 2006. Análise longitudinal dos preços do carvão vegetal, no Estado de Minas Gerais. Revista Árvore. 30(3):429-438. Coelho Jr. LM, Rezende JLP, Sáfadi T, Calegario N. 2006. Análise temporal do preço do carvão vegetal oriundo de floresta nativa e de floresta plantada. Scientia Forestalis. 70:43-53. Coelho Jr. LM, Rezende JLP, Sáfadi T, Calegario N. 2009. Análise do comportamento temporal dos preços da borracha no mercado internacional. Ciência Florestal. 19(3):293-303. Delgado DBM, Carvalho M, Coelho Jr. LMC, Abrahão R, Chacartegui R. 2018. Photovoltaic solar energy in the economic optimisation of energy supply and conversion. IET Renewable Power Generation. 12(11):1263-1268. Dickey DA, Fuller WA. 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica. 49(4):1057-1072. Fischer S. 1982. Séries univariantes de tempo: metodologia de Box e Jenkins. Porto Alegre (Brazil): Fundação de Economia e Estatística. 186 p. Floriano EP, Muller I, Finger CAG, Schneider PR. 2006. Ajuste e seleção de modelos tradicionais para série temporal de dados de altura de árvores. Ciência Florestal. 16(2):177-199. Gencer A. 2015. The utilization of Kiwi (Actinidia deliciosa) pruning waste for kraft paper production and the effect of the bark on paper properties. Drewno. 58(194):103-113. Grilo MMS, Fortes AFC, Souza RPG, Silva JAM, Carvalho M. 2018. Carbon footprints for the supply of electricity to a heat pump: solar energy vs. electric grid. Journal of Renewable and Sustainable Energy. 10(2):023701. Kwiatkowski D, Phillips PCB, Schmidt P, Shin Y. 1992. Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root? Journal of Econometrics. 54(3):159-178. ©2020 International Society of Arboriculture
May 2020
Title Name |
Pages |
Delete |
Url |
Empty |
AI Assistant
Ask anything about this document
AI is thinking…
Ai generated response may be inaccurate.
Search Text Block
Page #page_num
#doc_title
Hi $receivername|$receiveremail,
$sendername|$senderemail wrote these comments for you:
$message
$sendername|$senderemail would like for you to view the following digital edition.
Please click on the page below to be directed to the digital edition:
$thumbnail$pagenum
$link$pagenum
Enter a description for this bookmark
Your form submission was a success. You will be contacted by Washington Gas with follow-up information regarding your request.
This process might take longer please wait