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 processes....
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| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
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IntechOpen
2023
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20231201_9789535131748_882 |
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| _version_ | 1869524780815745024 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-129773 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1297732024-04-09T11:42:02Z Current Perspective to Predict Actual Evapotranspiration Bucur, Daniel numerical simulation, artificial neural network, evaporation, reservoir, air temperature thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology 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. 2023-12-01T16:08:20Z 2023-12-01T16:08:20Z 2017 book ONIX_20231201_9789535131748_882 9789535131748 9789535131731 9789535148272 https://directory.doabooks.org/handle/20.500.12854/129773 eng image/jpeg n/a https://www.intechopen.com/books/5860 https://mts.intechopen.com/storage/books/5860/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/65621 10.5772/65621 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535131748 9789535131731 9789535148272 IntechOpen 116 open access |
| spellingShingle | numerical simulation, artificial neural network, evaporation, reservoir, air temperature thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology Current Perspective to Predict Actual Evapotranspiration |
| title | Current Perspective to Predict Actual Evapotranspiration |
| title_full | Current Perspective to Predict Actual Evapotranspiration |
| title_fullStr | Current Perspective to Predict Actual Evapotranspiration |
| title_full_unstemmed | Current Perspective to Predict Actual Evapotranspiration |
| title_short | Current Perspective to Predict Actual Evapotranspiration |
| title_sort | current perspective to predict actual evapotranspiration |
| topic | numerical simulation, artificial neural network, evaporation, reservoir, air temperature thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology |
| topic_facet | numerical simulation, artificial neural network, evaporation, reservoir, air temperature thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology |
| url | ONIX_20231201_9789535131748_882 |