Clima e produção do espaço urbano: contribuição ao estudo da Geografia do Clima no contexto das cidades de São Carlos e Marília

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O clima urbano de Rancharia (SP)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Uso da terra e clima urbano e suas influências sobre a população de Euglossini na cidade de Parnaíba, PI, Brasil

Pós-graduação em Geografia - IGCE

Land use and thermal comfort in the county of Ourinhos, SP

This study aims to analyze the thermal comfort in urban areas for different land uses. The ENVImet microclimatic model has been used for urban boundary layer simulation, providing the following thermal comfort indexes: PMV (Predicted Mean Vote) and PPD (Predicted Percentage of Dissatisfaction). The chosen area covers the central area in the city of Ourinhos, located in southeastern Brazilian city, with subtropical climate. Four simulations were accomplished: an area with real buildings and vegetation on site, a “grassy” area where buildings have been replaced by grass in the central area, another grassy area, known as “grass/tree”, with additional trees in, and a final area called “Park” also grassy, where trees were added all over the area. The structures which showed thermal comfort within the ISO 7730 standards were the grassy area with no trees at 9 a.m., and a paved area, as well as the park area at 3 p.m. Other situations have presented values of PMV and PPD off the limits required by the rules; they were very close to those values. The only point that presented a far cry from the comfort required was the spot in the asphalt at 9 a.m. The other situations showed PMV and PPD values not far from the limits of comfort. Only the point on the asphalt showed values far from the limit of comfort at 9 a.m.

O clima urbano das cidades do interior do estado de São Paulo: uma análise do campo térmico de Assis, Cândido Mota, Maracaí e Tarumã

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Áreas verdes em Teresina-PI: aspectos legais, ambientais e de gestão

Pós-graduação em Geografia - IGCE

As características da temperatura do ar em bairros com produção do espaço urbano distintas: uma análise do Parque Higienópolis e Jd. Morada do Sol em Presidente Prudente-SP

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

As características da temperatura do ar em bairros com produção do espaço urbano distintas: uma análise do Parque Higienópolis e Jd. Morada do Sol em Presidente Prudente-SP

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Evaluating the usefulness of soil moisture (forecasts) in streamflow prediction for central Texas

The past decade has brought significant advancements in seasonal climate forecasting. However, water resources decision support and management continues to be based almost entirely on historical observations and does not take advantage of climate forecasts. This study builds on previous work that conditioned streamflow ensemble forecasts on observable climate indicators, such as the El Niño-Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO) for use in a decision support model for the Highland Lakes multi-reservoir system in central Texas operated by the Lower Colorado River Authority (LCRA). In the current study, seasonal soil moisture is explored as a climate indicator and predictor of annual streamflow for the LCRA region. The main purpose of this study is to evaluate the correlation of fractional soil moisture with streamflow using the 1950-2000 Variable Infiltration Capacity (VIC) Retrospective Land Surface Data Set over the LCRA region. Correlations were determined by examining different annual and seasonal combinations of VIC modeled fractional soil moisture and observed streamflow. The applicability of the VIC Retrospective Land Surface Data Set as a data source for this study is tested along with establishing and analyzing patterns of climatology for the watershed study area using the selected data source (VIC model) and historical data. Correlation results showed potential for the use of soil moisture as a predictor of streamflow over the LCRA region. This was evident by the good correlations found between seasonal soil moisture and seasonal streamflow during coincident seasons as well as between seasonal and annual soil moisture with annual streamflow during coincident years. With the findings of good correlation between seasonal soil moisture from the VIC Retrospective Land Surface Data Set with observed annual streamflow presented in this study, future research would evaluate the application of NOAA Climate Prediction Center (CPC) forecasts of soil moisture in predicting annual streamflow for use in the decision support model for the LCRA.