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Ferreira,Lucas Borges; Cunha,Fernando França da; Sediyama,Gilberto Chohaku; Campos,Flavio Bastos. |
Abstract: The objective of this work was to develop a software (HS Cal) to calibrate the Hargreaves-Samani equation for specific periods of the year, in global, seasonal, and monthly time scales, as well as to compare the performance of calibrated and non-calibrated equations. The software was developed in order to use raw data provided by Banco de Dados Meteorológicos para Ensino e Pesquisa (BDMEP). All calibrations outperformed the original Hargreaves-Samani equation, especially with the use of seasonal and monthly calibrations. The HS Cal software can easily calibrate the Hargreaves-Samani equation, allowing the identification of the best form of this equation for a given site. |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agrometeorology; Irrigation; Local calibration; Minimum data; Reference evapotranspiration; Simplified models. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000100902 |
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Antle, John M.; Valdivia, Roberto O.. |
We argue that to support agriculture–environmental policy decision making, stakeholders need ‘quantitative back-of-the-envelope’ analysis that is timely and sufficiently accurate to make informed decisions. We apply this concept to the analysis of the supply of ecosystem services from agriculture. We present a spatially explicit production model and show how it can be used to derive the supply of ecosystem services in a region. This model shows that the supply of ecosystem services can be derived from the spatial distribution of opportunity cost of providing those services. We then show how this conceptual model can be used to develop a minimum-data (MD) approach to the analysis of the supply of ecosystem services from agriculture that can be implemented... |
Tipo: Journal Article |
Palavras-chave: Carbon sequestration; Ecosystem services; Minimum data; Resource /Energy Economics and Policy. |
Ano: 2006 |
URL: http://purl.umn.edu/116858 |
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