Análise da influência da especificação do uso e ocupação do solo e do uso da técnica de assimilação de dados meteorológicos na performance do modelo WRF

• Ano de defesa: 2017
• Autor(a) principal: Aylas, Georgynio Yossimar Rosales
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Engenharia Ambiental; Centro Tecnológico; UFES; Programa de Pós-Graduação em Engenharia Ambiental
• Palavras-chave em Português: influence of the land use and occupation; data assimilation; WRF; Modelo SMOKE; Influência do uso e ocupação do solo; Assimilação de dados; Vitória, Região Metropolitana de (ES); Solo urbano - Uso; Engenharia Sanitária; 628
• Link de acesso: http://repositorio.ufes.br/handle/10/9444

Air quality models require accurate meteorological elds and geographic data to make the correctly modeling of chemical transport. For this purpose, the Metropolitan Region of Greater Victoria (RMGV) uses the numerical mesoscale model WRF. The physical and biological property of the land surface has been progressively a ected as a consequence of the change in land use. This is mainly due to urbanization and farming and forest practices. However, the problem about the use of parameters such as soil coverage provided by the USGS is that they are available with ultimate update date in 1993. In addition, there is the high computational cost about the assimilating of real data (observational meteorological data) to obtain more improve on the forecasts. For this purpose this study has the main goal evaluate the input datas regarding to land use and cover, together whit speci cation the meteorological assimilation data (pontual observations) to evaluate the performance of the WRF model for the Região Metropolitana da Grande Vitória (RMGV). As part of the work of generating accurate spatial data, satellite image analysis was performed. These provide excellent data quality, with enough information to generate the desired geographic data. Therefore, we have worked speci cally for a small 120km x 120km area that covers the RMGV whole and is centered at the Airport Station. On the other hand, to make the data treatment with the objective of implementing the new geographic database for the RMGV, several steps were followed. These was grouped on the preprocessing of images for the land use and cover with the 24 categories of land use suggested by the USGS and the equivalent to the brazilian sistem for the RMGV area. However, for soil granulometry and texture it had no greater problem than accurate the existing information, as well as to Topography. As well as, for the four-dimensional data assimilation (FDDA), the Newtonian relaxation or nudging (continuous data assimilation method that adjusts the model's dynamic variables gradually for observations by adding one or more prognostic equations) were generated les containing the reports of the surface meteorological data of the Aeroporto station. As a consequence, the modeling performance of the direction and speed of the wind and temperature. In consequence, the modeling performance of the speed and direction of the wind and temperature, using to modeling with updated geographical database has a slight improve compared with using USGS data source. Although, not every month they hit the ags for the suggested indicators for all seasons. However, to evaluate the modeling performance of wind direction and speed and temperature for all seasons, making use of the updated geographic data with the in uence of nudging a ecting the domain d01 improvement in every month. Thus, when the in uence of nudging for domain d02 is used, it improves modeling even more than when was used together domains d01 and d02 is in uenced.