Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias
Ano de defesa: | 2019 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal Rural do Rio de Janeiro
|
Programa de Pós-Graduação: |
Programa de P?s-Gradua??o em Engenharia Agr?cola e Ambiental
|
Departamento: |
Instituto de Tecnologia
|
País: |
Brasil
|
Palavras-chave em Português: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | https://tede.ufrrj.br/jspui/handle/jspui/5275 |
Resumo: | Desertification is a process linked to the land degradation due to anthropic activities, and natural factors such as climate variability. Desertification affects about two-thirds of the world's countries, and has implications for the economic, social and environmental sectors, as well as diminishing the quality of human life. The State of Rio de Janeiro presents spatial, temporal and climatic variability and economic activities. In this sense, the objective of the present study was to identify areas at risk of desertification in the State of Rio de Janeiro, based on the physical indicators (climate, soil, land use and occupation, vegetation, relief features, conservation units and geomorphology) and the determination of an Index of Sensitive Environmental Areas (ESAI). In order to determine the ESAI, the intermediate indices were calculated: Soil Quality Index (PLQI - geomorphology, soil type and slope), Soil Management Index (MQI - conservation units and land use and occupation), Index of Climate Quality (CQI - rainfall, dryness index and relief orientation). From these intermediate indices, it was possible to obtain the ESAI, for the mesoregions of government and for the municipalities. The ranges of susceptibility adopted were: Low, moderate and high susceptibility calculated for each intermediate index and ESAI. Most of the state has been classified as not susceptible to desertification. The north region had the highest percentage of the low susceptibility class (57.85 %), followed by the northwest (31.96 %), Metropolitan (25.43 %), lowered (10.96 %) and Serrana %). For the moderate class, the northwest region (26.66 %), north (57.85 %), Serrana (2.60 %), Metropolitan region (1.98%) and Coastal shallows (0.60%) had the highest percentage. S?o Jo?o de Meriti, with the highest percentage of areas with low susceptibility (99.36 %) and municipality of Cardoso Moreira with a higher class of moderate susceptibility (48.02 %). The method was efficient in determining areas susceptible to desertification and serves as an alert for the need for mitigation measures or adaptation to environmental degradation processes. |
id |
UFRRJ-1_e5683bde23ad8155809775201f02627b |
---|---|
oai_identifier_str |
oai:localhost:jspui/5275 |
network_acronym_str |
UFRRJ-1 |
network_name_str |
Biblioteca Digital de Teses e Dissertações da UFRRJ |
repository_id_str |
|
spelling |
Lyra, Gustavo BastosCPF: 021.209.164-62Sousa, Gustavo Mota deCPF: 074.080.027-23Francisco J?nior, Jos?Farias, Heitor Soares deCPF: 020.602.087-26http://lattes.cnpq.br/0670651091047028Santos, C?tia Azevedo dos2021-11-29T18:26:53Z2019-02-28SANTOS, C?tia Azevedo dos. Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias. 2019. 57 f. Disserta??o (Mestrado em Engenharia Agr?cola e Ambiental) - Instituto de Tecnologia, Departamento de Engenharia, Universidade Federal Rural do Rio de Janeiro, Serop?dica, 2019.https://tede.ufrrj.br/jspui/handle/jspui/5275Desertification is a process linked to the land degradation due to anthropic activities, and natural factors such as climate variability. Desertification affects about two-thirds of the world's countries, and has implications for the economic, social and environmental sectors, as well as diminishing the quality of human life. The State of Rio de Janeiro presents spatial, temporal and climatic variability and economic activities. In this sense, the objective of the present study was to identify areas at risk of desertification in the State of Rio de Janeiro, based on the physical indicators (climate, soil, land use and occupation, vegetation, relief features, conservation units and geomorphology) and the determination of an Index of Sensitive Environmental Areas (ESAI). In order to determine the ESAI, the intermediate indices were calculated: Soil Quality Index (PLQI - geomorphology, soil type and slope), Soil Management Index (MQI - conservation units and land use and occupation), Index of Climate Quality (CQI - rainfall, dryness index and relief orientation). From these intermediate indices, it was possible to obtain the ESAI, for the mesoregions of government and for the municipalities. The ranges of susceptibility adopted were: Low, moderate and high susceptibility calculated for each intermediate index and ESAI. Most of the state has been classified as not susceptible to desertification. The north region had the highest percentage of the low susceptibility class (57.85 %), followed by the northwest (31.96 %), Metropolitan (25.43 %), lowered (10.96 %) and Serrana %). For the moderate class, the northwest region (26.66 %), north (57.85 %), Serrana (2.60 %), Metropolitan region (1.98%) and Coastal shallows (0.60%) had the highest percentage. S?o Jo?o de Meriti, with the highest percentage of areas with low susceptibility (99.36 %) and municipality of Cardoso Moreira with a higher class of moderate susceptibility (48.02 %). The method was efficient in determining areas susceptible to desertification and serves as an alert for the need for mitigation measures or adaptation to environmental degradation processes.A desertifica??o ? um processo relacionado ? degrada??o da Terra, devido ?s atividades antr?picas, e, ou fatores naturais, como a variabilidade clim?tica. A desertifica??o afeta cerca de dois ter?os dos pa?ses do mundo, e t?m implica??es nos setores econ?mico, social e ambiental, al?m de diminuir a qualidade de vida humana. O Estado do Rio de Janeiro apresenta variabilidade clim?tica espacial, temporal e diversificadas atividades econ?micas. Nesse sentido, o objetivo do presente estudo foi identificar ?reas de risco ? desertifica??o no Estado do Rio de Janeiro, com base nos indicadores f?sicos (clima, solo, uso e ocupa??o da Terra, vegeta??o, caracter?sticas do relevo, unidades de conserva??o e geomorfologia), considerados na determina??o de um ?ndice de ?reas Ambientais Sens?veis (ESAI). Para determinar o ESAI, foram calculados os ?ndices intermedi?rios: ?ndice F?sico de Qualidade do Solo (PLQI - geomorfologia, tipo de solo e declividade), ?ndice de Manejo do Solo (MQI ? unidades de conserva??o e uso e ocupa??o da Terra) e ?ndice de Qualidade do Clima (CQI ? chuva, ?ndice de aridez e orienta??o do relevo). A partir desses ?ndices intermedi?rios foi poss?vel obter o ESAI para as mesorregi?es de governo e para os munic?pios. As faixas de susceptibilidade adotadas foram: Baixa, moderada e alta susceptibilidade calculadas para cada ?ndice intermedi?rio e para o ESAI. A maior parte do Estado foi classificado como n?o suscept?vel ? desertifica??o. A regi?o norte apresentou a maior porcentagem da classe baixa susceptibilidade (57,85 %), seguidas da regi?o noroeste (31,96 %), Metropolitana (25,43 %), Baixada Litor?nea (10,96 %) e Serrana (3,28 %). Para classe moderada, apresentaram maiores porcentagem a regi?o noroeste (26,66 %), norte (57,85 %), serrana (2,60 %), Metropolitana (1,98 %) e Baixada Litor?nea (0,60 %). Em rela??o aos munic?pios que apresentaram algum grau de susceptibilidade, destaca-se S?o Jo?o de Meriti com a maior porcentagem de ?reas de baixa susceptibilidade (99,36 %) e munic?pio de Cardoso Moreira com maior classe de susceptibilidade moderada (48,02 %). O m?todo foi eficiente em determinar ?reas suscept?veis ? desertifica??o, e serve como alerta para necessidade de medidas mitigadoras ou de adapta??o aos processos de degrada??o ambiental.Submitted by Jorge Silva (jorgelmsilva@ufrrj.br) on 2021-11-29T18:26:53Z No. of bitstreams: 1 2019 - C?tia Azevedo dos Santos.pdf: 3854295 bytes, checksum: bca13accde48a70402acc4483583f3d4 (MD5)Made available in DSpace on 2021-11-29T18:26:53Z (GMT). No. of bitstreams: 1 2019 - C?tia Azevedo dos Santos.pdf: 3854295 bytes, checksum: bca13accde48a70402acc4483583f3d4 (MD5) Previous issue date: 2019-02-28CAPES - Coordena??o de Aperfei?oamento de Pessoal de N?vel Superiorapplication/pdfhttps://tede.ufrrj.br/retrieve/67706/2019%20-%20C%c3%a1tia%20Azevedo%20dos%20Santos.pdf.jpgporUniversidade Federal Rural do Rio de JaneiroPrograma de P?s-Gradua??o em Engenharia Agr?cola e AmbientalUFRRJBrasilInstituto de TecnologiaANDRE, R. G. B., MARQUES, V. S., PINHEIRO, F. M. A., FERRAUDO, A. S. Identifica??o de regi?es pluviometricamente homog?neas no Estado do Rio de Janeiro, utilizando-se valores mensais. Revista Brasileira de Meteorologia, v.23, n.4, 501 - 509, 2008. AUBREVILLE, A. Climats, forest, et desertification de l'Afrique Tropicale. Societe de Editions Geographiques, Maritime et Coloniales, Paris, 1949, p.255. ABDELRAHMAN, M. A. E. Estimating soil fertility status in physically degraded land using GIS and remote sensing techniques in Chamarajanagar district, Karnataka, India. Egyptian Journal of Remote Sensing and Space Science, 2016. AFIFI, A. A.; DARWISH, K. M.; YOUSSEF, R. A. Geospatial information and indicators for mapping land sensitivity to degradation in Siwa Oasis, Egypt. Sci-Afric Journal of Scientific Issues, Research and Essays, 2014. ALVARES, C. A. K?ppen?s climate classification map for Brazil. Meteorologische Zeitschrift, 2013. ARORA, V. K.; BOER, G. J. Uncertainties in the 20th century carbon budget associated with land use change. Global Change Biology, 2010. BAI, Y.; SCOTT, T. A.; MIN, Q. Climate change implications of soil temperature in the Mojave Desert, USA. Frontiers of Earth Science, v. 8, n. 2, p. 302?308, 2014. BRASIL. MINIST?RIO DAS CIDADES. Plano Nacional de Saneamento B?sico - PLANSAB. [s.l: s.n.]. CORR?A, G. R. Physical and chemical attributes of Archaeological Soils developed from shell middens in the Regi?o dos Lagos, Rio de Janeiro, Brazil. Revista Brasileira de Ci?ncia do Solo, v. 35, n. 4, p. 1100?1111, 2011. COSTA, A. F. S. Recursos H?dricos, 2011. CREPANI, E. Curso de Sensoriamento Remoto aplicado ao zoneamento ecol?gico-econ?mico. INPE(Inpe-6145-PUD/028), 1996. CUNHA, L; FERNANDES, A. R. Riscos Naturais em Portugal. Departamento de geografia (FLUC) Centro de estudos de geografia e ordenamento do territ?rio (CEGOT). UNESP, 2014. DE SOUZA, D. C.; OYAMA, M. D. Climatic consequences of gradual desertification in the semi-arid area of Northeast Brazil. Theoretical and Applied Climatology, 2011. EMBRAPA, E. B. D. P. A. Sistema brasileiro de classifica??o de solos. [s.l: s.n.]. FERNANDINO, G.; ELLIFF, C. I.; SILVA, I. R. Ecosystem-based management of coastal zones in face of climate change impacts: Challenges and inequalities. Journal of Environmental Management, v. 215, p. 32?39, 1 jun. 2018. FERREIRA, T. R. Identification of Desertification-Sensitive Areas in the Brazilian Northeast Through Vegetation Indices. Engenharia Agr?cola, v. 37, n. 6, p. 1190?1202, 2017. GAREDEW, E. Land-use and land-cover dynamics in the central rift valley of ethiopia. Environmental Management, 2009. GOUDIE, A. S. Desert dust and human health disorders Environment International, 2014. HUETE, A. R., K. DIDAN, K., MIURA, T., RODRIGUEZ, E.P., GAO, X., FERREIRA, L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, v.83, Special Issue. p.195-213, 2002. IBGE. Um Panorama da sa?de no Brasil : acesso e utiliza??o dos servi?os, condi??es de sa?de e fatores de risco e prote??o ? sa?de. [s.l: s.n.]. IBGE. S?ntese de indicadores sociais: uma an?lise das condi??es de vida da popula??o brasileira 2010. [s.l: s.n.]. IBGE. Instituto Brasileiro de Geografia e Estat?stica. In: Levantamento Sistem?tico da Produ??o Agr?cola. [s.l: s.n.]. IBGE. Indicadores de Desenvolvimento Sustent?vel. [s.l: s.n.]. IBGE, I. B. DE G. E E.-. Manual T?cnico da Vegeta??o Brasileira. [s.l: s.n.]. INEA. Instituto Estadual do Ambiente. IPCC - Intergovernmental Panel on Climate Change. Climate Change Synthesis Report, 2014. [s.l: s.n.]. JENSEN, J. R. Introductory digital image processing: a remote sensing perspective. 2 a. ed. Upper Saddle River: Prentice-Hall, 1996. LANDAU, E. C., GUIMAR?ES, D. P., Anais XV Simp?sio Brasileiro de Sensoriamento Remoto - SBSR, Curitiba, PR, Brasil - INPE, p. 4003, 2011. LAING, A.; EVANS, J. L. Introduction to Tropical Meteorology. [s.l: s.n.]. LYRA, G. B. Evaluation of methods of spatial interpolation for monthly rainfall data over the state of Rio de Janeiro, Brazil. Theoretical and Applied Climatology, p. 1?11, 2017. MARIANO, D. A. Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil. Remote Sensing of Environment, 2018. MARTINES, I. M. Remanescentes de ?reas verdes e sua import?ncia para a qualidade ambiental urbana, Cidades Verdes, pp. 78-104 ISSN 2317-8604, 2015. MEKONNEN, Z. Land use and land cover changes and the link to land degradation in Arsi Negele district, Central Rift Valley, Ethiopia. Remote Sensing Applications: Society and Environment, 2018. MINISTRY OF THE ENVIRONMENT, M. OF S. D. AND F. A. H. The right to water in the semi-arid region: managing Brazilian areas susceptible to desertification. In: Living Land. [s.l: s.n.]. p. 33?36. NASCIMENTO, F. R. Os Semi?ridos e a Desertifica??o no Brasil. Revista Eletr?nica do PRODEMA, p. 7?26, 2015. OLIVEIRA J?NIOR, J. F., CORREIA, P. T., MORAES, O. N., LYRA, G. B. Distribui??o Espacial da Precipita??o Pluvial Mensal no Estado do Rio de Janeiro. XVII Congresso Brasileiro de Agrometeorologia ? SESC Centro de Turismo de Guarapari, Guarapari - ES, 2011. PACHECO, F. A. L. Land degradation: multiple environmental consequences and routes to neutrality. Current Opinion in Environmental Science & Health, 2018. PAN BRASIL. Programa de A??o Nacional de Combate ? Desertifica??o e Mitiga??o dos efeitos da Seca. Bras?lia, MMA, 2005. PERHI-RJ. Relat?rio Gerencial. In: Plano Estadual de Recursos H?dricos do Estado do Rio de Janeiro. [s.l: s.n.]. PETTA, R. A. Evaluation of Desertification Processes in Serid? Region (NE Brazil). International Journal of Geosciences, 2013. PNUD. S?ntese - Relat?rio do desenvolvimento humano 2015. [s.l: s.n.]. PR?V?LIE, R. Spatial assessment of land degradation sensitive areas in southwester Romania using modified MEDALUS method. Catena, 2017. PRECINOTO, R. S.; LEMOS, F.G. R.; CORREIA, T. P.; SANTOS, E. O.; LYRA, G. B.; CRUZ, S. M. S. 2013. Uso de Sistema de pr?-processadores para obten??o de s?ries pluviom?tricas de qualidade. Congresso Brasileiro de Agrometeorologia, 2013. ROXO, M. J. Panorama mundial da desertifica??o. In: Agricultura familiar e desertifica??o. Actas do I Semin?rio Luso-brasileiro. [s.l: s.n.]. SAFRIEL, U. Land degradation neutrality (LDN) in drylands and beyond ? where has it come from and where does it go Silva Fennica, 2017. SHEN, M. Estimating uncertainty and its temporal variation related to global climate models in quantifying climate change impacts on hydrology. Journal of Hydrology, v. 556, p. 10?24, 2018. SYMEONAKIS, E. Monitoring Sensitivity to Land Degradation and Desertification with the Environmentally Sensitive Area Index: The Case of Lesvos Island. Land Degradation and Development, 2016. TOMASELLA, J. Desertification trends in the Northeast of Brazil over the period 2000?2016. International Journal of Applied Earth Observation and Geoinformation, 2018. UNCCD. Land degradation assessment in drylandsSeventh session of the Conference of the Parties, item 10 of the provisional agenda. [s.l: s.n.]. UNCCD. Desertification: The Invisible FrontlineUnited Nations Convention to Combat Desertification. [s.l: s.n.]. UNCCD; UNFCC. Forests: Climate Change, Biodiversity and Land DegradationZero Mercury Working Group. [s.l: s.n.]. UNITED NATIONS. Conven??o sobre Mudan?a do Clima. Conven??o-Quadro das Na??es Unidas sobre Mudan?a do Clima. Anais 1992 VIEIRA, R. M. S. P. Identifying areas susceptible to desertification in the Brazilian northeast. Solid Earth, v. 6, n. 1, p. 347?360, 2015. VIOLA, E. O regime internacional de mudan?a clim?tica e o Brasil. Revista Brasileira de Ci?ncias Sociais, 2002. WANG, Y.; YAN, X. Climate change induced by Southern Hemisphere desertification. Physics and Chemistry of the Earth, v. 102, p. 40?47, 2017. WUNDER, S., BODLE, R. Achieving land degradation neutrality in Germany: Implementation process and design of a land use change based indicator, Environmental Science e Plicy - ELSEVIER, vol. 92, p .46-55, (2019). ZHU, X.; LIU, D. Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series. Journal of Photogrammetry and Remote Sensing, v. 102, p. 231,2015.Degrada??o ambientalAtividades antr?picasGeoprocessamentoEnvironmental degradationAnthropogenic derivationsGeoprocessingEngenharia CivilDetec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologiasDetection of areas at risk of desertification in the State of Rio de Janeiro using geotechnologiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRRJinstname:Universidade Federal Rural do Rio de Janeiro (UFRRJ)instacron:UFRRJTHUMBNAIL2019 - C?tia Azevedo dos Santos.pdf.jpg2019 - C?tia Azevedo dos Santos.pdf.jpgimage/jpeg2130http://localhost:8080/tede/bitstream/jspui/5275/4/2019+-+C%C3%A1tia+Azevedo+dos+Santos.pdf.jpg1c5d5d7aba519d78f642688f5681b9f0MD54TEXT2019 - C?tia Azevedo dos Santos.pdf.txt2019 - C?tia Azevedo dos Santos.pdf.txttext/plain121067http://localhost:8080/tede/bitstream/jspui/5275/3/2019+-+C%C3%A1tia+Azevedo+dos+Santos.pdf.txte4bf853808953075a509d8a07cd2f1b1MD53ORIGINAL2019 - C?tia Azevedo dos Santos.pdf2019 - C?tia Azevedo dos Santos.pdfapplication/pdf3854295http://localhost:8080/tede/bitstream/jspui/5275/2/2019+-+C%C3%A1tia+Azevedo+dos+Santos.pdfbca13accde48a70402acc4483583f3d4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82089http://localhost:8080/tede/bitstream/jspui/5275/1/license.txt7b5ba3d2445355f386edab96125d42b7MD51jspui/52752021-11-30 02:00:12.596oai:localhost:jspui/5275Tk9UQTogQ09MT1FVRSBBUVVJIEEgU1VBIFBSP1BSSUEgTElDRU4/QQpFc3RhIGxpY2VuP2EgZGUgZXhlbXBsbyA/IGZvcm5lY2lkYSBhcGVuYXMgcGFyYSBmaW5zIGluZm9ybWF0aXZvcy4KCkxJQ0VOP0EgREUgRElTVFJJQlVJPz9PIE4/Ty1FWENMVVNJVkEKCkNvbSBhIGFwcmVzZW50YT8/byBkZXN0YSBsaWNlbj9hLCB2b2M/IChvIGF1dG9yIChlcykgb3UgbyB0aXR1bGFyIGRvcyBkaXJlaXRvcyBkZSBhdXRvcikgY29uY2VkZSA/IFVuaXZlcnNpZGFkZSAKWFhYIChTaWdsYSBkYSBVbml2ZXJzaWRhZGUpIG8gZGlyZWl0byBuP28tZXhjbHVzaXZvIGRlIHJlcHJvZHV6aXIsICB0cmFkdXppciAoY29uZm9ybWUgZGVmaW5pZG8gYWJhaXhvKSwgZS9vdSAKZGlzdHJpYnVpciBhIHN1YSB0ZXNlIG91IGRpc3NlcnRhPz9vIChpbmNsdWluZG8gbyByZXN1bW8pIHBvciB0b2RvIG8gbXVuZG8gbm8gZm9ybWF0byBpbXByZXNzbyBlIGVsZXRyP25pY28gZSAKZW0gcXVhbHF1ZXIgbWVpbywgaW5jbHVpbmRvIG9zIGZvcm1hdG9zID91ZGlvIG91IHY/ZGVvLgoKVm9jPyBjb25jb3JkYSBxdWUgYSBTaWdsYSBkZSBVbml2ZXJzaWRhZGUgcG9kZSwgc2VtIGFsdGVyYXIgbyBjb250ZT9kbywgdHJhbnNwb3IgYSBzdWEgdGVzZSBvdSBkaXNzZXJ0YT8/byAKcGFyYSBxdWFscXVlciBtZWlvIG91IGZvcm1hdG8gcGFyYSBmaW5zIGRlIHByZXNlcnZhPz9vLgoKVm9jPyB0YW1iP20gY29uY29yZGEgcXVlIGEgU2lnbGEgZGUgVW5pdmVyc2lkYWRlIHBvZGUgbWFudGVyIG1haXMgZGUgdW1hIGM/cGlhIGEgc3VhIHRlc2Ugb3UgCmRpc3NlcnRhPz9vIHBhcmEgZmlucyBkZSBzZWd1cmFuP2EsIGJhY2stdXAgZSBwcmVzZXJ2YT8/by4KClZvYz8gZGVjbGFyYSBxdWUgYSBzdWEgdGVzZSBvdSBkaXNzZXJ0YT8/byA/IG9yaWdpbmFsIGUgcXVlIHZvYz8gdGVtIG8gcG9kZXIgZGUgY29uY2VkZXIgb3MgZGlyZWl0b3MgY29udGlkb3MgCm5lc3RhIGxpY2VuP2EuIFZvYz8gdGFtYj9tIGRlY2xhcmEgcXVlIG8gZGVwP3NpdG8gZGEgc3VhIHRlc2Ugb3UgZGlzc2VydGE/P28gbj9vLCBxdWUgc2VqYSBkZSBzZXUgCmNvbmhlY2ltZW50bywgaW5mcmluZ2UgZGlyZWl0b3MgYXV0b3JhaXMgZGUgbmluZ3U/bS4KCkNhc28gYSBzdWEgdGVzZSBvdSBkaXNzZXJ0YT8/byBjb250ZW5oYSBtYXRlcmlhbCBxdWUgdm9jPyBuP28gcG9zc3VpIGEgdGl0dWxhcmlkYWRlIGRvcyBkaXJlaXRvcyBhdXRvcmFpcywgdm9jPyAKZGVjbGFyYSBxdWUgb2J0ZXZlIGEgcGVybWlzcz9vIGlycmVzdHJpdGEgZG8gZGV0ZW50b3IgZG9zIGRpcmVpdG9zIGF1dG9yYWlzIHBhcmEgY29uY2VkZXIgPyBTaWdsYSBkZSBVbml2ZXJzaWRhZGUgCm9zIGRpcmVpdG9zIGFwcmVzZW50YWRvcyBuZXN0YSBsaWNlbj9hLCBlIHF1ZSBlc3NlIG1hdGVyaWFsIGRlIHByb3ByaWVkYWRlIGRlIHRlcmNlaXJvcyBlc3Q/IGNsYXJhbWVudGUgCmlkZW50aWZpY2FkbyBlIHJlY29uaGVjaWRvIG5vIHRleHRvIG91IG5vIGNvbnRlP2RvIGRhIHRlc2Ugb3UgZGlzc2VydGE/P28gb3JhIGRlcG9zaXRhZGEuCgpDQVNPIEEgVEVTRSBPVSBESVNTRVJUQT8/TyBPUkEgREVQT1NJVEFEQSBURU5IQSBTSURPIFJFU1VMVEFETyBERSBVTSBQQVRST0M/TklPIE9VIApBUE9JTyBERSBVTUEgQUc/TkNJQSBERSBGT01FTlRPIE9VIE9VVFJPIE9SR0FOSVNNTyBRVUUgTj9PIFNFSkEgQSBTSUdMQSBERSAKVU5JVkVSU0lEQURFLCBWT0M/IERFQ0xBUkEgUVVFIFJFU1BFSVRPVSBUT0RPUyBFIFFVQUlTUVVFUiBESVJFSVRPUyBERSBSRVZJUz9PIENPTU8gClRBTUI/TSBBUyBERU1BSVMgT0JSSUdBPz9FUyBFWElHSURBUyBQT1IgQ09OVFJBVE8gT1UgQUNPUkRPLgoKQSBTaWdsYSBkZSBVbml2ZXJzaWRhZGUgc2UgY29tcHJvbWV0ZSBhIGlkZW50aWZpY2FyIGNsYXJhbWVudGUgbyBzZXUgbm9tZSAocykgb3UgbyhzKSBub21lKHMpIGRvKHMpIApkZXRlbnRvcihlcykgZG9zIGRpcmVpdG9zIGF1dG9yYWlzIGRhIHRlc2Ugb3UgZGlzc2VydGE/P28sIGUgbj9vIGZhcj8gcXVhbHF1ZXIgYWx0ZXJhPz9vLCBhbD9tIGRhcXVlbGFzIApjb25jZWRpZGFzIHBvciBlc3RhIGxpY2VuP2EuCg==Biblioteca Digital de Teses e Dissertaçõeshttps://tede.ufrrj.br/PUBhttps://tede.ufrrj.br/oai/requestbibliot@ufrrj.br||bibliot@ufrrj.bropendoar:2021-11-30T04:00:12Biblioteca Digital de Teses e Dissertações da UFRRJ - Universidade Federal Rural do Rio de Janeiro (UFRRJ)false |
dc.title.por.fl_str_mv |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias |
dc.title.alternative.eng.fl_str_mv |
Detection of areas at risk of desertification in the State of Rio de Janeiro using geotechnologies |
title |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias |
spellingShingle |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias Santos, C?tia Azevedo dos Degrada??o ambiental Atividades antr?picas Geoprocessamento Environmental degradation Anthropogenic derivations Geoprocessing Engenharia Civil |
title_short |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias |
title_full |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias |
title_fullStr |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias |
title_full_unstemmed |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias |
title_sort |
Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias |
author |
Santos, C?tia Azevedo dos |
author_facet |
Santos, C?tia Azevedo dos |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Lyra, Gustavo Bastos |
dc.contributor.advisor1ID.fl_str_mv |
CPF: 021.209.164-62 |
dc.contributor.advisor-co1.fl_str_mv |
Sousa, Gustavo Mota de |
dc.contributor.advisor-co1ID.fl_str_mv |
CPF: 074.080.027-23 |
dc.contributor.referee1.fl_str_mv |
Francisco J?nior, Jos? |
dc.contributor.referee2.fl_str_mv |
Farias, Heitor Soares de |
dc.contributor.authorID.fl_str_mv |
CPF: 020.602.087-26 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/0670651091047028 |
dc.contributor.author.fl_str_mv |
Santos, C?tia Azevedo dos |
contributor_str_mv |
Lyra, Gustavo Bastos Sousa, Gustavo Mota de Francisco J?nior, Jos? Farias, Heitor Soares de |
dc.subject.por.fl_str_mv |
Degrada??o ambiental Atividades antr?picas Geoprocessamento |
topic |
Degrada??o ambiental Atividades antr?picas Geoprocessamento Environmental degradation Anthropogenic derivations Geoprocessing Engenharia Civil |
dc.subject.eng.fl_str_mv |
Environmental degradation Anthropogenic derivations Geoprocessing |
dc.subject.cnpq.fl_str_mv |
Engenharia Civil |
description |
Desertification is a process linked to the land degradation due to anthropic activities, and natural factors such as climate variability. Desertification affects about two-thirds of the world's countries, and has implications for the economic, social and environmental sectors, as well as diminishing the quality of human life. The State of Rio de Janeiro presents spatial, temporal and climatic variability and economic activities. In this sense, the objective of the present study was to identify areas at risk of desertification in the State of Rio de Janeiro, based on the physical indicators (climate, soil, land use and occupation, vegetation, relief features, conservation units and geomorphology) and the determination of an Index of Sensitive Environmental Areas (ESAI). In order to determine the ESAI, the intermediate indices were calculated: Soil Quality Index (PLQI - geomorphology, soil type and slope), Soil Management Index (MQI - conservation units and land use and occupation), Index of Climate Quality (CQI - rainfall, dryness index and relief orientation). From these intermediate indices, it was possible to obtain the ESAI, for the mesoregions of government and for the municipalities. The ranges of susceptibility adopted were: Low, moderate and high susceptibility calculated for each intermediate index and ESAI. Most of the state has been classified as not susceptible to desertification. The north region had the highest percentage of the low susceptibility class (57.85 %), followed by the northwest (31.96 %), Metropolitan (25.43 %), lowered (10.96 %) and Serrana %). For the moderate class, the northwest region (26.66 %), north (57.85 %), Serrana (2.60 %), Metropolitan region (1.98%) and Coastal shallows (0.60%) had the highest percentage. S?o Jo?o de Meriti, with the highest percentage of areas with low susceptibility (99.36 %) and municipality of Cardoso Moreira with a higher class of moderate susceptibility (48.02 %). The method was efficient in determining areas susceptible to desertification and serves as an alert for the need for mitigation measures or adaptation to environmental degradation processes. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019-02-28 |
dc.date.accessioned.fl_str_mv |
2021-11-29T18:26:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SANTOS, C?tia Azevedo dos. Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias. 2019. 57 f. Disserta??o (Mestrado em Engenharia Agr?cola e Ambiental) - Instituto de Tecnologia, Departamento de Engenharia, Universidade Federal Rural do Rio de Janeiro, Serop?dica, 2019. |
dc.identifier.uri.fl_str_mv |
https://tede.ufrrj.br/jspui/handle/jspui/5275 |
identifier_str_mv |
SANTOS, C?tia Azevedo dos. Detec??o de ?reas de risco ? desertifica??o no Estado do Rio de Janeiro com utiliza??o de geotecnologias. 2019. 57 f. Disserta??o (Mestrado em Engenharia Agr?cola e Ambiental) - Instituto de Tecnologia, Departamento de Engenharia, Universidade Federal Rural do Rio de Janeiro, Serop?dica, 2019. |
url |
https://tede.ufrrj.br/jspui/handle/jspui/5275 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.references.por.fl_str_mv |
ANDRE, R. G. B., MARQUES, V. S., PINHEIRO, F. M. A., FERRAUDO, A. S. Identifica??o de regi?es pluviometricamente homog?neas no Estado do Rio de Janeiro, utilizando-se valores mensais. Revista Brasileira de Meteorologia, v.23, n.4, 501 - 509, 2008. AUBREVILLE, A. Climats, forest, et desertification de l'Afrique Tropicale. Societe de Editions Geographiques, Maritime et Coloniales, Paris, 1949, p.255. ABDELRAHMAN, M. A. E. Estimating soil fertility status in physically degraded land using GIS and remote sensing techniques in Chamarajanagar district, Karnataka, India. Egyptian Journal of Remote Sensing and Space Science, 2016. AFIFI, A. A.; DARWISH, K. M.; YOUSSEF, R. A. Geospatial information and indicators for mapping land sensitivity to degradation in Siwa Oasis, Egypt. Sci-Afric Journal of Scientific Issues, Research and Essays, 2014. ALVARES, C. A. K?ppen?s climate classification map for Brazil. Meteorologische Zeitschrift, 2013. ARORA, V. K.; BOER, G. J. Uncertainties in the 20th century carbon budget associated with land use change. Global Change Biology, 2010. BAI, Y.; SCOTT, T. A.; MIN, Q. Climate change implications of soil temperature in the Mojave Desert, USA. Frontiers of Earth Science, v. 8, n. 2, p. 302?308, 2014. BRASIL. MINIST?RIO DAS CIDADES. Plano Nacional de Saneamento B?sico - PLANSAB. [s.l: s.n.]. CORR?A, G. R. Physical and chemical attributes of Archaeological Soils developed from shell middens in the Regi?o dos Lagos, Rio de Janeiro, Brazil. Revista Brasileira de Ci?ncia do Solo, v. 35, n. 4, p. 1100?1111, 2011. COSTA, A. F. S. Recursos H?dricos, 2011. CREPANI, E. Curso de Sensoriamento Remoto aplicado ao zoneamento ecol?gico-econ?mico. INPE(Inpe-6145-PUD/028), 1996. CUNHA, L; FERNANDES, A. R. Riscos Naturais em Portugal. Departamento de geografia (FLUC) Centro de estudos de geografia e ordenamento do territ?rio (CEGOT). UNESP, 2014. DE SOUZA, D. C.; OYAMA, M. D. Climatic consequences of gradual desertification in the semi-arid area of Northeast Brazil. Theoretical and Applied Climatology, 2011. EMBRAPA, E. B. D. P. A. Sistema brasileiro de classifica??o de solos. [s.l: s.n.]. FERNANDINO, G.; ELLIFF, C. I.; SILVA, I. R. Ecosystem-based management of coastal zones in face of climate change impacts: Challenges and inequalities. Journal of Environmental Management, v. 215, p. 32?39, 1 jun. 2018. FERREIRA, T. R. Identification of Desertification-Sensitive Areas in the Brazilian Northeast Through Vegetation Indices. Engenharia Agr?cola, v. 37, n. 6, p. 1190?1202, 2017. GAREDEW, E. Land-use and land-cover dynamics in the central rift valley of ethiopia. Environmental Management, 2009. GOUDIE, A. S. Desert dust and human health disorders Environment International, 2014. HUETE, A. R., K. DIDAN, K., MIURA, T., RODRIGUEZ, E.P., GAO, X., FERREIRA, L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, v.83, Special Issue. p.195-213, 2002. IBGE. Um Panorama da sa?de no Brasil : acesso e utiliza??o dos servi?os, condi??es de sa?de e fatores de risco e prote??o ? sa?de. [s.l: s.n.]. IBGE. S?ntese de indicadores sociais: uma an?lise das condi??es de vida da popula??o brasileira 2010. [s.l: s.n.]. IBGE. Instituto Brasileiro de Geografia e Estat?stica. In: Levantamento Sistem?tico da Produ??o Agr?cola. [s.l: s.n.]. IBGE. Indicadores de Desenvolvimento Sustent?vel. [s.l: s.n.]. IBGE, I. B. DE G. E E.-. Manual T?cnico da Vegeta??o Brasileira. [s.l: s.n.]. INEA. Instituto Estadual do Ambiente. IPCC - Intergovernmental Panel on Climate Change. Climate Change Synthesis Report, 2014. [s.l: s.n.]. JENSEN, J. R. Introductory digital image processing: a remote sensing perspective. 2 a. ed. Upper Saddle River: Prentice-Hall, 1996. LANDAU, E. C., GUIMAR?ES, D. P., Anais XV Simp?sio Brasileiro de Sensoriamento Remoto - SBSR, Curitiba, PR, Brasil - INPE, p. 4003, 2011. LAING, A.; EVANS, J. L. Introduction to Tropical Meteorology. [s.l: s.n.]. LYRA, G. B. Evaluation of methods of spatial interpolation for monthly rainfall data over the state of Rio de Janeiro, Brazil. Theoretical and Applied Climatology, p. 1?11, 2017. MARIANO, D. A. Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil. Remote Sensing of Environment, 2018. MARTINES, I. M. Remanescentes de ?reas verdes e sua import?ncia para a qualidade ambiental urbana, Cidades Verdes, pp. 78-104 ISSN 2317-8604, 2015. MEKONNEN, Z. Land use and land cover changes and the link to land degradation in Arsi Negele district, Central Rift Valley, Ethiopia. Remote Sensing Applications: Society and Environment, 2018. MINISTRY OF THE ENVIRONMENT, M. OF S. D. AND F. A. H. The right to water in the semi-arid region: managing Brazilian areas susceptible to desertification. In: Living Land. [s.l: s.n.]. p. 33?36. NASCIMENTO, F. R. Os Semi?ridos e a Desertifica??o no Brasil. Revista Eletr?nica do PRODEMA, p. 7?26, 2015. OLIVEIRA J?NIOR, J. F., CORREIA, P. T., MORAES, O. N., LYRA, G. B. Distribui??o Espacial da Precipita??o Pluvial Mensal no Estado do Rio de Janeiro. XVII Congresso Brasileiro de Agrometeorologia ? SESC Centro de Turismo de Guarapari, Guarapari - ES, 2011. PACHECO, F. A. L. Land degradation: multiple environmental consequences and routes to neutrality. Current Opinion in Environmental Science & Health, 2018. PAN BRASIL. Programa de A??o Nacional de Combate ? Desertifica??o e Mitiga??o dos efeitos da Seca. Bras?lia, MMA, 2005. PERHI-RJ. Relat?rio Gerencial. In: Plano Estadual de Recursos H?dricos do Estado do Rio de Janeiro. [s.l: s.n.]. PETTA, R. A. Evaluation of Desertification Processes in Serid? Region (NE Brazil). International Journal of Geosciences, 2013. PNUD. S?ntese - Relat?rio do desenvolvimento humano 2015. [s.l: s.n.]. PR?V?LIE, R. Spatial assessment of land degradation sensitive areas in southwester Romania using modified MEDALUS method. Catena, 2017. PRECINOTO, R. S.; LEMOS, F.G. R.; CORREIA, T. P.; SANTOS, E. O.; LYRA, G. B.; CRUZ, S. M. S. 2013. Uso de Sistema de pr?-processadores para obten??o de s?ries pluviom?tricas de qualidade. Congresso Brasileiro de Agrometeorologia, 2013. ROXO, M. J. Panorama mundial da desertifica??o. In: Agricultura familiar e desertifica??o. Actas do I Semin?rio Luso-brasileiro. [s.l: s.n.]. SAFRIEL, U. Land degradation neutrality (LDN) in drylands and beyond ? where has it come from and where does it go Silva Fennica, 2017. SHEN, M. Estimating uncertainty and its temporal variation related to global climate models in quantifying climate change impacts on hydrology. Journal of Hydrology, v. 556, p. 10?24, 2018. SYMEONAKIS, E. Monitoring Sensitivity to Land Degradation and Desertification with the Environmentally Sensitive Area Index: The Case of Lesvos Island. Land Degradation and Development, 2016. TOMASELLA, J. Desertification trends in the Northeast of Brazil over the period 2000?2016. International Journal of Applied Earth Observation and Geoinformation, 2018. UNCCD. Land degradation assessment in drylandsSeventh session of the Conference of the Parties, item 10 of the provisional agenda. [s.l: s.n.]. UNCCD. Desertification: The Invisible FrontlineUnited Nations Convention to Combat Desertification. [s.l: s.n.]. UNCCD; UNFCC. Forests: Climate Change, Biodiversity and Land DegradationZero Mercury Working Group. [s.l: s.n.]. UNITED NATIONS. Conven??o sobre Mudan?a do Clima. Conven??o-Quadro das Na??es Unidas sobre Mudan?a do Clima. Anais 1992 VIEIRA, R. M. S. P. Identifying areas susceptible to desertification in the Brazilian northeast. Solid Earth, v. 6, n. 1, p. 347?360, 2015. VIOLA, E. O regime internacional de mudan?a clim?tica e o Brasil. Revista Brasileira de Ci?ncias Sociais, 2002. WANG, Y.; YAN, X. Climate change induced by Southern Hemisphere desertification. Physics and Chemistry of the Earth, v. 102, p. 40?47, 2017. WUNDER, S., BODLE, R. Achieving land degradation neutrality in Germany: Implementation process and design of a land use change based indicator, Environmental Science e Plicy - ELSEVIER, vol. 92, p .46-55, (2019). ZHU, X.; LIU, D. Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series. Journal of Photogrammetry and Remote Sensing, v. 102, p. 231,2015. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural do Rio de Janeiro |
dc.publisher.program.fl_str_mv |
Programa de P?s-Gradua??o em Engenharia Agr?cola e Ambiental |
dc.publisher.initials.fl_str_mv |
UFRRJ |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Instituto de Tecnologia |
publisher.none.fl_str_mv |
Universidade Federal Rural do Rio de Janeiro |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da UFRRJ instname:Universidade Federal Rural do Rio de Janeiro (UFRRJ) instacron:UFRRJ |
instname_str |
Universidade Federal Rural do Rio de Janeiro (UFRRJ) |
instacron_str |
UFRRJ |
institution |
UFRRJ |
reponame_str |
Biblioteca Digital de Teses e Dissertações da UFRRJ |
collection |
Biblioteca Digital de Teses e Dissertações da UFRRJ |
bitstream.url.fl_str_mv |
http://localhost:8080/tede/bitstream/jspui/5275/4/2019+-+C%C3%A1tia+Azevedo+dos+Santos.pdf.jpg http://localhost:8080/tede/bitstream/jspui/5275/3/2019+-+C%C3%A1tia+Azevedo+dos+Santos.pdf.txt http://localhost:8080/tede/bitstream/jspui/5275/2/2019+-+C%C3%A1tia+Azevedo+dos+Santos.pdf http://localhost:8080/tede/bitstream/jspui/5275/1/license.txt |
bitstream.checksum.fl_str_mv |
1c5d5d7aba519d78f642688f5681b9f0 e4bf853808953075a509d8a07cd2f1b1 bca13accde48a70402acc4483583f3d4 7b5ba3d2445355f386edab96125d42b7 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da UFRRJ - Universidade Federal Rural do Rio de Janeiro (UFRRJ) |
repository.mail.fl_str_mv |
bibliot@ufrrj.br||bibliot@ufrrj.br |
_version_ |
1797220354428502016 |