Modelling air temperature for the state of São Paulo, Brazil

Rodríguez-Lado, Luis; Sparovek, Gerd; Vidal-Torrado, Pablo; Neto, Durval Dourado; Macías-Vázquez, Felipe

doi:10.1590/s0103-90162007000500002

Cited by 17 publications

(10 citation statements)

References 10 publications

(10 reference statements)

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“…The Cantareira Water Supply System, hereafter referred to as the Cantareira System, is located in the South-East of Brazil between the states of Sao Paulo and Minas Gerais (-46.9 to -45.7 longitude and -22.5 -23.5 latitude). The regional climate is classified as subtropicalsub-humid, with a maximum annual average temperature of 25 °C and a minimum annual average of 15 °C (Blain, 2010;Rodríguez-Lado et al, 2007). On the other hand, the rainfall in the Southeast of Brazil presents an annual cycle, with maximum rainfall from December to February (summer) and minimum rainfall from June to August (winter).…”

Section: Study Area and Water Crisis Contextualizationmentioning

confidence: 99%

Economic impacts of drought risks for water utilities through Severity-Duration-Frequency framework under climate change scenarios

Guzmám

Mohor

Taffarello

et al. 2017

Preprint

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10Climate variability and increasing water demands prioritize the need to implement planning 11 strategies for urban water security in the long and medium term. However, actions to manage 12 the drought risk impacts entail great complexity, such as the calculation of economic losses The model framework is applied to the Cantareira Water Supply System for Sao Paulo 27Metropolitan Region, Brazil, with severe vulnerability to droughts. By using hydrological

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“…The low relative air humidity can result in the evaporation of pesticide and/or the water before the product can reach the target. According to Lado et al (2007), the time of day has an important influence on the levels of relative air humidity, since in the first hours of the morning, the temperatures are lower and the relative air humidity levels are higher. Through the course of the day, the temperature tends to rise and the humidity tends to decrease.…”

Section: Resultsmentioning

confidence: 99%

Pesticide application windows in the region of Uberlândia-MG, Brazil

Cunha¹,

Pereira

Barbosa³

et al. 2016

Biosci. J.

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ABSTRACT:The success of the pesticide application is subject to meteorological conditions. The objective of this work was to determine the application windows suitable for carrying out the application of pesticides, using as parameters the analysis of historical data (2009)(2010)(2011)(2012)(2013)(2014) of air temperature, relative air humidity, wind speed, and rainfall of Uberlândia-MG. With an electronic spreadsheet, and using the ideal meteorological conditions for applying pesticides (an air temperature above 30°C, relative air humidity above 55%, wind speed between 3 and 12 km h -1 , and rainfall data lower than 0.2 mm h -1 ) as a parameter, the data were crossed with the aim to determine the times of day that weather conditions were ideal to obtain better efficiency in the application. According to the results, the relative air humidity was the main restricting criterion for the application windows, which are concentrated, on average, between 18:00 and 12:00 in the summer, and between 24:00 and 9:00 in the winter. The number of viable hours for a good application varied from 35 in the first fortnight of September to 198 in the second fortnight of March, demonstrating the great variability among the application windows throughout the year, which makes the generic recommendations of spraying time inadequate if the month of the year is not taken into consideration.

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“…The MLR results for precision ( r 2 ) and accuracy ( d and RMSE) of spatial interpolation of air temperature were better or similar to values previously reported for Brazil (Lima and Ribeiro, 1998; Pezzopane et al ., 2004; Medeiros et al ., 2005; Rodríguez‐Lado et al ., 2007; Lyra et al ., 2011; Alvares et al ., 2013a) or for other countries (Ninyerola et al ., 2000; Kloog et al ., 2014), besides having identified the altitude as a dominant factor.…”

Section: Discussionmentioning

confidence: 99%

Desertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing

et al. 2020

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Desertification is a serious threat to human development and sustainability. This process is characterized by land degradation over areas with dry sub-humid, semiarid and arid climate. In this work, climate susceptibility to desertification was identified for the state of Rio de Janeiro (SRJ), Brazil, the third most populated state in the country. The state is characterized by complex topography, and diverse climate and land uses. Two formulations for the aridity index were used: I a , defined by Thornthwaite (1948, Geographical Review, 38(1), 55-94) and Penman (1953, Horticultural Congress, 2, 913-924), and D, a modification of I a by Hare (1983, Climate and Desertification: A Revised Analysis, Geneva: World Meteorological Organization). Both estimates of the aridity require annual rainfall and potential evapotranspiration, which were calculated from the climatological water balance using times series of rainfall and air temperature (1961-2010) from 98 stations over the SRJ. Annual rainfall, evapotranspiration, water deficit and the aridity indices were then spatially interpolated over a 5 × 5-km grid using a spline tension method. Both indices agree on the driest regions of the SRJ: Norte and Baixada Litorânea, near the northern coast, both under sub-humid and semi-arid climate. The index I a indicated susceptibility to desertification over 2,305 km 2 on the Norte and Baixada Litorânea regions, which correspond to 5% of SRJ area; similarly, the index D classified a smaller area over the Norte region under desertification (431 km 2). These subregions, among the others also considered in this study, are of great importance for the agricultural, forestry and tourism industries and contribute immensely to the economic development of the state. Hence, the evaluation of susceptibility to desertification in those areas is essential to help prevent further land degradation and support policies formulation on long-term sustainable management of land and water resources, especially under regional and global climate change scenarios. The methodology used in this work can be applied to studies of desertification in other regions of the world.

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“…Watershed plans considering soil and water conservation will need to be well designed and executed. In this context, payments for ecosystem services (PES) can be a suitable mid-to long-term solution to provide soil and water conservation, guarantee forest restoration and river flow rate regulation, and improve water quality (Pagiola et al, 2007;Rodríguez Osuna et al, 2014;Zolin et al, 2014). The use of soil and water conservation approaches in watersheds have been shown to be valuable, in the context of water production, as reported by Pires (2004) and Sone et al (2019).…”

Section: Planning For Resiliencementioning

confidence: 99%

Assessing water security in the São Paulo metropolitan region under projected climate change

Gesualdo

Oliveira

Rodrigues

et al. 2019

Hydrol. Earth Syst. Sci.

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Abstract. Climate change affects the global water cycle and has the potential to alter water availability for food–energy–water production, and for ecosystems services, on regional and local scales. An understanding of these effects is crucial for assessing future water availability, and for the development of sustainable management plans. Here, we investigate the influence of anticipated climate change on water security in the Jaguari Basin, which is the main source of freshwater for 9 million people in the São Paulo metropolitan region (SPMR). First, we calibrate and evaluate a hydrological model using daily observed data, obtaining satisfactory coefficient of determination and Kling–Gupta efficiency values for both periods. To represent possible climate change scenarios up to 2095, we consider two International Panel on Climate Change (IPCC) Representative Concentration Pathways (RCP4.5 and RCP8.5) and use an ensemble of future projections generated by 17 general circulation models (GCMs). These data were used to drive the hydrological model to generate projected scenarios of streamflow. We then used indicators of water scarcity and vulnerability to carry out a quantitative analysis of provision probability. Our results indicate that streamflow can be expected to exhibit increased interannual variability, significant increases in flow rate between January and March, and a 2-month extension of the hydrological dry season (currently June to September) until November. The latter includes a more than a 35 % reduction in streamflow during September through November (with a > 50 % reduction in October). Our findings indicate an increased risk of floods and droughts accompanied by an expansion of the basin critical period, and our analysis of the water security indices identifies October and November as the most vulnerable months. Overall, our analysis exposes the fragility of water security in the São Paulo metropolitan region, and provides valuable technical and scientific information that can be used to guide regional plans and strategies to cope with potential future water scarcity.

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“…Técnicas de interpolação são utilizadas para converter os dados pontuais em dados contínuos, com a finalidade de cobrir as áreas dependentes da estimativa de dados em locais não monitorados por estações meteorológicas por meio de valores registrados em locais vizinhos (RODRÍGUEZ-LADO et al, 2007). Ou seja, a interpolação de dados espaciais é necessária sempre que necessite estimar uma variável numérica, em uma determinada posição geográfica, em que não existe a informação, a partir de pontos amostrais medidos na vizinhança (XAVIER, et al 2010).…”

Section: Geoestatísticaunclassified

Zoneamento agroclimático da Jatropha curcas L. como subsídio ao desenvolvimento da cultura no Brasil visando à produção de biodiesel

Yamada¹

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AGRADECIMENTOSNão seria possível realizar este trabalho sem a ajuda e apoio de muitas pessoas, desde os que tiveram um papel importante até os que contribuíram indiretamente ao longo desses anos.Agradeço à ESALQ por todos esses anos de graduação e mestrado. Ao Programa Física do Ambiente Agrícola por acolher todo esse tempo uma pessoa enrolada como eu, com mestrado, trabalho e filho.Ao Prof. Paulo Cesar Sentelhas, agradeço do fundo do meu coração por toda a credibilidade, conselhos e palavras de incentivo nos momentos mais tensos e, principalmente, na ajuda para a dissertação sair. Também não poderia deixar de ser grata por ter me inserido no mercado de trabalho, obrigada.Ao Prof Angelocci pelo breve momento de orientação no início do mestrado e, também por ser meu fiador durante este período.À Ângela e Fernando da secretaria do programa, que me ajudaram com papeladas quando não era possível chegar à ESALQ.Aos colegas e amigos da Cúpula: Ester, Leonardo (Tche), Indriati (Nagoia), Jeanine, Lucas, Fabio, Daniel e Rafael, pelas conversas, sugestões, contribuições e cafezinhos nas poucas vezes que pude conviver com vocês.Aqueles, amigos e profissionais, que auxiliaram nas dúvidas de SIG: Rodnei Rizzo

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Modelling air temperature for the state of São Paulo, Brazil

Cited by 17 publications

References 10 publications

Economic impacts of drought risks for water utilities through Severity-Duration-Frequency framework under climate change scenarios

Pesticide application windows in the region of Uberlândia-MG, Brazil

Desertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing

Assessing water security in the São Paulo metropolitan region under projected climate change

Zoneamento agroclimático da Jatropha curcas L. como subsídio ao desenvolvimento da cultura no Brasil visando à produção de biodiesel

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