Re-analysis of pluvial precipitation in southern Brazil

This study examined precipitation in southern Brazil based on a data set provided by the Brazilian National Water Agency, covering the period from 1976 to 2010. Data were homogenized using the R software and the Climatol subroutine, which allow completing missing data. Isohyets were drawn using the Geostatistics software to obtain a semivariogram for each analysis. There was a remarkable interannual variability in this region, with positive anomalies in the warm phase (El Nino) and negative anomalies in the cold phase (La Nina) of ENSO. Also, the responses of this variability were not uniform in the entire region, since there was variability from year to year and from event to event.

Atributos do solo e componentes produtivos da soja: Uma abordagem linear, multivariada e geoestatística

Pós-graduação em Agronomia - FEIS

Simulação sequencial na interpolação dos dados de entrada ou saída do modelo de lixiviação do software Araquá

Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

Variabilidade da precipitação na Unidade de Gerenciamento de Recursos Hídricos do médio Paranapanema

Analysis of variability of rainfall UGRHI-17 is important because it is located in an area of agriculture. This importance is through a better dialogue between research and farmers, who can see this, an analysis of events that impact your direct planting. Noting the periodic occurrence of these events, agriculture can be prevented by protecting your planting and ensuring a good harvest. The analysis and observation of the entire region is through the location of the stations, which allow a more complete analysis if they are well scattered throughout the unit. Through calculations parse wet and dry years, and this work will be given emphasis to the wet years. They presented the climatological average above average extracted for all seasons. These wet years are generally associated with events such as El Niño and the intensification of SACZ. For these years, was also observed the spatial distribution of rainfall through isolines. How to deal with regional data, the Geostatistics was a resource used in this work to make the analysis more complete and closer to the actual data from the wide year-to-interannual scale. Their adoption is in the preparation of contour, making the spatial distribution more accurate.

Development of technologies and methods for monitoring the spatial variability of air temperature in greenhouse environment

Climatic factors directly influence growth and productivity of plants inside greenhouses, where temperature can be considered one of the major parameter in this context. Thus, the aim of this research was to develop a low cost device for thermal sensing and data acquisition, and use it in data collection and analysis of spatial variability of temperature inside a greenhouse with tropical climate. The developed equipment for thermal measurements showed a high degree of accuracy and fast responses in measurements, proving its efficiency. The data analysis interpretations were made from the elaborations of variograms and of tridimensional maps generated by a geostatistical software. The processed data analysis presented that a greenhouse without thermal control has spatial variations of air temperature, both in the sampled horizontals layers as in the three analyzed vertical columns, presenting variations of up to 3.6 ºC in certain times.

Variabilidade espacial da umidade relativa do ar no interior de uma casa de vegetação em clima tropical

Greenhouse with natural ventilation is widely used in tropical countries, and little knowledge is available about how this type of structure affects the spatial variability of agroclimatic variables. The aim of this study was to analyse the spatial variability of relative humidity inside a greenhouse with natural ventilation. The measurement of relative humidity was done at 114 points inside the greenhouse at 9, 12 and 16 hours and on heights of 0.3, 1.2 and 2.0 m. The acquired data were processed by the geostatistical software GS+ and maps were generated and displayed for each time and height using the Surfer 10.3.705 software. The results showed that there were variations in the spatial distribution of relative humidity inside the greenhouse.

Espacialização dos sedimentos produzidos na parte inicial da bacia hidrográfica do Rio Pardo, Botucatu/SP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise multivariada na diferenciaçãoentre manejos de solos cultivados com café

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise Espacial Multivariada Aplicada na Avaliação da Fertilidade do Solo

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

Perdas na colheita mecanizada de algodão em variabilidade espacial e em função de velocidades de colheita

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento de um aplicativo para processamento de imagens obtidas por fotografias aéreas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Desenvolvimento de um aplicativo para processamento de imagens obtidas por fotografias aéreas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Spatial analysis of egg distribution and geographic changes in the spawning habitat of the Brazilian sardine Sardinella brasiliensis

This paper establishes the spawning habitat of the Brazilian sardine Sardinella brasiliensis and investigates the spatial variability of egg density and its relation with oceanographic conditions in the shelf of the south-east Brazil Bight (SBB). The spawning habitats of S. brasiliensis have been defined in terms of spatial models of egg density, temperature-salinity plots, quotient (Q) analysis and remote sensing data. Quotient curves (Q(C)) were constructed using the geographic distribution of egg density, temperature and salinity from samples collected during nine survey cruises between 1976 and 1993. The interannual sea surface temperature (SST) variability was determined using principal component analysis on the SST anomalies (SSTA) estimated from remote sensing data over the period between 1985 and 2007. The spatial pattern of egg occurrences in the SBB indicated that the largest concentration occurred between Paranagua and Sao Sebastiao. Spawning habitat expanded and contracted during the years, fluctuating around Paranagua. In January 1978 and January 1993, eggs were found nearly everywhere along the inner shelf of the SBB, while in January 1988 and 1991 spawning had contracted to their southernmost position. The SSTA maps for the spawning periods showed that in the case of habitat expansion (1993 only) anomalies over the SBB were zero or slightly negative, whereas for the contraction period anomalies were all positive. Sardinella brasiliensis is capable of exploring suitable spawning sites provided by the entrainment of the colder and less-saline South Atlantic Central Water onto the shelf by means of both coastal wind-driven (to the north-east of the SBB) and meander-induced (to the south-west of the SBB) upwelling.

Geoelectrical mapping of contamination in the cemeteries: the case study in Piracicaba, Sao Paulo/Brazil

This paper presents the results of electrical resistivity methods in the area delineation that was potentially contaminated by liquefaction products, which are also called putrefactive liquids in Vila Rezende municipal cemetery, Piracicaba, So Paulo, Brazil. The results indicate a depth of water table between 3.1 and 5.1 m, with two groundwater direction flows, one to the SW and another to the SE. Due to the contamination plumes, which have the same groundwater direction flow, as well the conductive anomalies observed in the geoelectric sections, the contamination suspicions in the area were confirmed. The probable plume to the SE extends beyond the limits of the cemetery. The location of the conductive anomalies and the probable contamination plumes showed that the contamination is linked with the depth of the water table and the burial time. Mapping using the geostatistical method of ordinary kriging applied to the work drew structural characteristics of the regional phenomenon and spatial behavior of the electrical resistivity data, resulting in continued surfaces. Thus, this method has proved to be an important tool for mapping contamination plumes in cemeteries.

Integration of spatial and temporal models to predict extreme water table depths

The objective of this work was to evaluate extreme water table depths in a watershed, using methods for geographical spatial data analysis. Groundwater spatio-temporal dynamics was evaluated in an outcrop of the Guarani Aquifer System. Water table depths were estimated from monitoring of water levels in 23 piezometers and time series modeling available from April 2004 to April 2011. For generation of spatial scenarios, geostatistical techniques were used, which incorporated into the prediction ancillary information related to the geomorphological patterns of the watershed, using a digital elevation model. This procedure improved estimates, due to the high correlation between water levels and elevation, and aggregated physical sense to predictions. The scenarios showed differences regarding the extreme levels - too deep or too shallow ones - and can subsidize water planning, efficient water use, and sustainable water management in the watershed.