Current Perspective to Predict Actual Evapotranspiration
Evapotranspiration is the largest outgoing water flux from the Earth's surface; its accurate quantification is critical for the crop development in conditions of the climate changes from recent decades, and it can contribute to a greater understanding of a range of agricultural ecosystem proces...
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Format: | Electronic Book Chapter |
Language: | English |
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IntechOpen
2017
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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072 | 7 | |a RBP |2 bicssc | |
100 | 1 | |a Bucur, Daniel |4 edt | |
700 | 1 | |a Bucur, Daniel |4 oth | |
245 | 1 | 0 | |a Current Perspective to Predict Actual Evapotranspiration |
260 | |b IntechOpen |c 2017 | ||
300 | |a 1 electronic resource (116 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
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506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a Evapotranspiration is the largest outgoing water flux from the Earth's surface; its accurate quantification is critical for the crop development in conditions of the climate changes from recent decades, and it can contribute to a greater understanding of a range of agricultural ecosystem processes. To evaluate the hydric requirements of the crops, it was agreed that they should be reported to a maximum global evapotranspiration called potential evapotranspiration. To estimate this variable, a variety of methods were developed, each with its benefits as well as trade-offs. Their use, however, is laborious due to their complexity and of the large number of parameters required. In this book, specialists' concerns worldwide to develop simple but reliable methodologies - with less data requirement - which will give accurate and appropriate results - are presented. In addition, a study of the physics of the moisture evaporation process from porous media to elucidate what are the mechanisms of moisture migration from granular biopesticides is presented in the last chapter. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
546 | |a English | ||
650 | 7 | |a Meteorology & climatology |2 bicssc | |
653 | |a numerical simulation, artificial neural network, evaporation, reservoir, air temperature | ||
856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/5860/authors_book/authors_book.pdf |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/129773 |7 0 |z DOAB: description of the publication |