Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems
ABSTRACT Irrigation system capacity is typically defined by analyzing probabilities of non-exceedance of evapotranspiration. The use of mean monthly values of ET0 may lead to underestimation of the required capacity, whereas use of maximum daily values may result in overestimation of required capaci...
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Universidade Federal de Campina Grande
2021-08-01
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| author | Verônica G. M. L. de Melo José A. Frizzone Leonardo L. de Melo Antonio P. de Camargo |
| author_facet | Verônica G. M. L. de Melo José A. Frizzone Leonardo L. de Melo Antonio P. de Camargo |
| author_sort | Verônica G. M. L. de Melo |
| collection | DOAJ |
| description | ABSTRACT Irrigation system capacity is typically defined by analyzing probabilities of non-exceedance of evapotranspiration. The use of mean monthly values of ET0 may lead to underestimation of the required capacity, whereas use of maximum daily values may result in overestimation of required capacity. This study had the following objectives: (1) to analyze a 30-year series of daily ET0 data from Piracicaba, SP, Brazil, to evaluate the suitability of the Gumbel distribution for estimating the maximum values of ET0 organized in periods of up to 30 days; (2) to determine probable maximum values and to select ET0 values considering the irrigation interval and the risk of failure in terms of irrigation system capacity. Daily data from 1990 to 2019 were used to calculate ET0 using the Penman-Monteith model. The Gumbel distribution fitted to the data and was suitable for characterizing the frequency distribution of the maximum ET0. The probable ET0 for designing irrigation systems can then be estimated based on the expected lifespan, irrigation interval, and return period of ET0 maximum values. The higher the anticipated irrigation system lifespan, the higher the return period needed to attain a low risk of failure. Using the average of maximum ET0 values alone leads to underestimation of system capacity and a high risk of failure in terms of irrigation system capacity. |
| format | Article |
| id | doaj-art-da04bbb8468b4f658cb428543b78d5eb |
| institution | DOAJ |
| issn | 1807-1929 |
| language | English |
| publishDate | 2021-08-01 |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-da04bbb8468b4f658cb428543b78d5eb2025-08-20T03:04:02ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292021-08-01251067768310.1590/1807-1929/agriambi.v25n10p677-683Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systemsVerônica G. M. L. de Melohttps://orcid.org/0000-0003-0665-3726José A. Frizzonehttps://orcid.org/0000-0002-4251-1496Leonardo L. de Melohttps://orcid.org/0000-0002-1866-883XAntonio P. de Camargohttps://orcid.org/0000-0001-5164-2634ABSTRACT Irrigation system capacity is typically defined by analyzing probabilities of non-exceedance of evapotranspiration. The use of mean monthly values of ET0 may lead to underestimation of the required capacity, whereas use of maximum daily values may result in overestimation of required capacity. This study had the following objectives: (1) to analyze a 30-year series of daily ET0 data from Piracicaba, SP, Brazil, to evaluate the suitability of the Gumbel distribution for estimating the maximum values of ET0 organized in periods of up to 30 days; (2) to determine probable maximum values and to select ET0 values considering the irrigation interval and the risk of failure in terms of irrigation system capacity. Daily data from 1990 to 2019 were used to calculate ET0 using the Penman-Monteith model. The Gumbel distribution fitted to the data and was suitable for characterizing the frequency distribution of the maximum ET0. The probable ET0 for designing irrigation systems can then be estimated based on the expected lifespan, irrigation interval, and return period of ET0 maximum values. The higher the anticipated irrigation system lifespan, the higher the return period needed to attain a low risk of failure. Using the average of maximum ET0 values alone leads to underestimation of system capacity and a high risk of failure in terms of irrigation system capacity.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001000677&tlng=enextreme values type I distributionconfidence intervalirrigation system designrisk of failureGumbel distribution |
| spellingShingle | Verônica G. M. L. de Melo José A. Frizzone Leonardo L. de Melo Antonio P. de Camargo Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems Revista Brasileira de Engenharia Agrícola e Ambiental extreme values type I distribution confidence interval irrigation system design risk of failure Gumbel distribution |
| title | Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems |
| title_full | Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems |
| title_fullStr | Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems |
| title_full_unstemmed | Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems |
| title_short | Extreme values of ET0 at Piracicaba, Brazil, for designing irrigation systems |
| title_sort | extreme values of et0 at piracicaba brazil for designing irrigation systems |
| topic | extreme values type I distribution confidence interval irrigation system design risk of failure Gumbel distribution |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662021001000677&tlng=en |
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