Cargando…
Effective Method of Estimating the Daily Evapotranspiration of Greenhouse Grapes in the Cold Area of Northeast China
[Image: see text] Evapotranspiration (ET) is an important basis and key link for guiding irrigation. One of the key problems to be solved is how to predict the dynamic change in the daily ET and estimate the total amount of ET in greenhouse through limited instantaneous data. In this paper, it is es...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096966/ https://www.ncbi.nlm.nih.gov/pubmed/35571847 http://dx.doi.org/10.1021/acsomega.2c00485 |
_version_ | 1784706087937638400 |
---|---|
author | Jiang, Senyan Xinguang Wei, Pei, Dongjie Zheng, Siyu Fu, Shining Wang, Tieliang |
author_facet | Jiang, Senyan Xinguang Wei, Pei, Dongjie Zheng, Siyu Fu, Shining Wang, Tieliang |
author_sort | Jiang, Senyan |
collection | PubMed |
description | [Image: see text] Evapotranspiration (ET) is an important basis and key link for guiding irrigation. One of the key problems to be solved is how to predict the dynamic change in the daily ET and estimate the total amount of ET in greenhouse through limited instantaneous data. In this paper, it is estimated that the daily scale of evapotranspiration by using four methods, including the evaporative fraction method (EF method), the reference evaporative fraction method (EF′ method), the sine method, and the canopy resistance method (r(c) method), is based on the measured ET data of grapes in a solar greenhouse in Northeast China. The relative root-mean-square pair error (RRMSE) and the efficiency coefficient (ε) are also used to study their applicability in terms of leaf area index, radiation degree, and scale-up time point. In the results, under the condition of different LAI, the simulation accuracies of ET scaled by the four methods ranked as follows (from highest to lowest): the reference evaporative fraction method, the evaporative fraction method, the sine method, and the canopy resistance method. The average RRMSE and ε of the evaporative fraction method with the best simulation accuracy were 7.19–16.46% and 0.61–0.75, respectively. Under different radiation conditions, the simulation accuracies of the four methods ranked as follows (from highest to lowest): the evaporative fraction method, the reference evaporative fraction method, the sine method, and the canopy resistance method. Under different radiation conditions, the RRSME of the four methods ranged from 11.55 to 46.62%, and the maximum of ε was 0.75. The evaporative fraction and reference evaporative fraction methods had the highest simulation accuracy, whereas the reference evaporative fraction method required fewer parameters. We concluded that the reference evaporative fraction method was the best for estimating the daily ET of greenhouse grapes in the cold area of Northeast China. |
format | Online Article Text |
id | pubmed-9096966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-90969662022-05-13 Effective Method of Estimating the Daily Evapotranspiration of Greenhouse Grapes in the Cold Area of Northeast China Jiang, Senyan Xinguang Wei, Pei, Dongjie Zheng, Siyu Fu, Shining Wang, Tieliang ACS Omega [Image: see text] Evapotranspiration (ET) is an important basis and key link for guiding irrigation. One of the key problems to be solved is how to predict the dynamic change in the daily ET and estimate the total amount of ET in greenhouse through limited instantaneous data. In this paper, it is estimated that the daily scale of evapotranspiration by using four methods, including the evaporative fraction method (EF method), the reference evaporative fraction method (EF′ method), the sine method, and the canopy resistance method (r(c) method), is based on the measured ET data of grapes in a solar greenhouse in Northeast China. The relative root-mean-square pair error (RRMSE) and the efficiency coefficient (ε) are also used to study their applicability in terms of leaf area index, radiation degree, and scale-up time point. In the results, under the condition of different LAI, the simulation accuracies of ET scaled by the four methods ranked as follows (from highest to lowest): the reference evaporative fraction method, the evaporative fraction method, the sine method, and the canopy resistance method. The average RRMSE and ε of the evaporative fraction method with the best simulation accuracy were 7.19–16.46% and 0.61–0.75, respectively. Under different radiation conditions, the simulation accuracies of the four methods ranked as follows (from highest to lowest): the evaporative fraction method, the reference evaporative fraction method, the sine method, and the canopy resistance method. Under different radiation conditions, the RRSME of the four methods ranged from 11.55 to 46.62%, and the maximum of ε was 0.75. The evaporative fraction and reference evaporative fraction methods had the highest simulation accuracy, whereas the reference evaporative fraction method required fewer parameters. We concluded that the reference evaporative fraction method was the best for estimating the daily ET of greenhouse grapes in the cold area of Northeast China. American Chemical Society 2022-04-25 /pmc/articles/PMC9096966/ /pubmed/35571847 http://dx.doi.org/10.1021/acsomega.2c00485 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Jiang, Senyan Xinguang Wei, Pei, Dongjie Zheng, Siyu Fu, Shining Wang, Tieliang Effective Method of Estimating the Daily Evapotranspiration of Greenhouse Grapes in the Cold Area of Northeast China |
title | Effective Method of Estimating the Daily Evapotranspiration
of Greenhouse Grapes in the Cold Area of Northeast China |
title_full | Effective Method of Estimating the Daily Evapotranspiration
of Greenhouse Grapes in the Cold Area of Northeast China |
title_fullStr | Effective Method of Estimating the Daily Evapotranspiration
of Greenhouse Grapes in the Cold Area of Northeast China |
title_full_unstemmed | Effective Method of Estimating the Daily Evapotranspiration
of Greenhouse Grapes in the Cold Area of Northeast China |
title_short | Effective Method of Estimating the Daily Evapotranspiration
of Greenhouse Grapes in the Cold Area of Northeast China |
title_sort | effective method of estimating the daily evapotranspiration
of greenhouse grapes in the cold area of northeast china |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096966/ https://www.ncbi.nlm.nih.gov/pubmed/35571847 http://dx.doi.org/10.1021/acsomega.2c00485 |
work_keys_str_mv | AT jiangsenyan effectivemethodofestimatingthedailyevapotranspirationofgreenhousegrapesinthecoldareaofnortheastchina AT xinguangwei effectivemethodofestimatingthedailyevapotranspirationofgreenhousegrapesinthecoldareaofnortheastchina AT peidongjie effectivemethodofestimatingthedailyevapotranspirationofgreenhousegrapesinthecoldareaofnortheastchina AT zhengsiyu effectivemethodofestimatingthedailyevapotranspirationofgreenhousegrapesinthecoldareaofnortheastchina AT fushining effectivemethodofestimatingthedailyevapotranspirationofgreenhousegrapesinthecoldareaofnortheastchina AT wangtieliang effectivemethodofestimatingthedailyevapotranspirationofgreenhousegrapesinthecoldareaofnortheastchina |