{"title":"MODELING SPATIAL DYNAMICS APPLIED TO THE ASSESSMENT OF URBAN GROWTH IN THE VICINITY OF PIPELINES IN RIO DE JANEIRO","authors":"Marcelo Elias Delaneze, P. S. Riedel","doi":"10.4090/JUEE.2018.V12N2.277286","DOIUrl":null,"url":null,"abstract":"The use of mathematical models in environmental studies allows significant scientific contributions to the physical planning of an area, since they help to understand the impact of changes in land cover and predict future trends of changes in ecosystems. The study area includes portions of the municipalities of Duque de Caxias, Nova Iguaçu, and Belford Roxo, located in the state of Rio de Janeiro, Brazil, and aims to carry out experiments in land cover changes in the medium-term (10 years) within the catchment area of ORBEL pipelines. The modeling performed in this study was developed using the software Dinamica EGO. For model calibration, we used the weights of evidence method. Positive values foster certain transitions, while negative values indicate low probability of transition. Model validation was executed by means of the fuzzy similarity method using exponential decay. The results show that for the study period (1998-2010) the rate of change for the transition of the class 'others to woody vegetation' is much higher than for the other class transitions observed in the same periods. One annual land cover scenario was generated for the year 2020. The scenario indicated the growth of suburbs near the ring road around Rio de Janeiro, especially in the municipality of Duque de Caxias.","PeriodicalId":17594,"journal":{"name":"Journal of Urban and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Urban and Environmental Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4090/JUEE.2018.V12N2.277286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
The use of mathematical models in environmental studies allows significant scientific contributions to the physical planning of an area, since they help to understand the impact of changes in land cover and predict future trends of changes in ecosystems. The study area includes portions of the municipalities of Duque de Caxias, Nova Iguaçu, and Belford Roxo, located in the state of Rio de Janeiro, Brazil, and aims to carry out experiments in land cover changes in the medium-term (10 years) within the catchment area of ORBEL pipelines. The modeling performed in this study was developed using the software Dinamica EGO. For model calibration, we used the weights of evidence method. Positive values foster certain transitions, while negative values indicate low probability of transition. Model validation was executed by means of the fuzzy similarity method using exponential decay. The results show that for the study period (1998-2010) the rate of change for the transition of the class 'others to woody vegetation' is much higher than for the other class transitions observed in the same periods. One annual land cover scenario was generated for the year 2020. The scenario indicated the growth of suburbs near the ring road around Rio de Janeiro, especially in the municipality of Duque de Caxias.
期刊介绍:
Journal of Urban and Environmental Engineering (JUEE) provides a forum for original papers and for the exchange of information and views on significant developments in urban and environmental engineering worldwide. The scope of the journal includes: (a) Water Resources and Waste Management [...] (b) Constructions and Environment[...] (c) Urban Design[...] (d) Transportation Engineering[...] The Editors welcome original papers, scientific notes and discussions, in English, in those and related topics. All papers submitted to the Journal are peer reviewed by an international panel of Associate Editors and other experts. Authors are encouraged to suggest potential referees with their submission. Authors will have to confirm that the work, or any part of it, has not been published before and is not presently being considered for publication elsewhere.