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240202 ||| eng |
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|a 9789535131748
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|a 9789535148272
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|a 65621
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|a 9789535131731
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1 |
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|a Bucur, Daniel
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| 245 |
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|a Current Perspective to Predict Actual Evapotranspiration
|h Elektronische Ressource
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| 260 |
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|b IntechOpen
|c 2017
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| 300 |
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|a 1 electronic resource (116 p.)
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| 653 |
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|a Meteorology & climatology / bicssc
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| 653 |
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|a numerical simulation, artificial neural network, evaporation, reservoir, air temperature
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| 700 |
1 |
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|a Bucur, Daniel
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
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| 024 |
8 |
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|a 10.5772/65621
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/129773
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/5860/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
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| 082 |
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|a 550
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|a 700
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| 520 |
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|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.
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