Pan evaporation is increased by submerged macrophytes

<p>The topic of evaporation estimates is fundamental to land-surface hydrology. In this study, FAO-56 Penman–Monteith equation (FAO56–PM), multiple stepwise regression (MLR), and Kohonen self-organising map (K–SOM) techniques were used for the estimation of daily pan evaporation (<span clas...

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Main Authors: B. Simon-Gáspár, G. Soós, A. Anda
Format: Article
Language:English
Published: Copernicus Publications 2022-09-01
Series:Hydrology and Earth System Sciences
Online Access:https://hess.copernicus.org/articles/26/4741/2022/hess-26-4741-2022.pdf
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author B. Simon-Gáspár
G. Soós
A. Anda
author_facet B. Simon-Gáspár
G. Soós
A. Anda
author_sort B. Simon-Gáspár
collection DOAJ
description <p>The topic of evaporation estimates is fundamental to land-surface hydrology. In this study, FAO-56 Penman–Monteith equation (FAO56–PM), multiple stepwise regression (MLR), and Kohonen self-organising map (K–SOM) techniques were used for the estimation of daily pan evaporation (<span class="inline-formula"><i>E</i><sub>p</sub></span>) in three treatments, where C was the standard class A pan with top water, S was a pan with sediment covered bottom, and SM was class A pan containing submerged macrophytes (<i>Myriophyllum</i> <i>spicatum</i>, <i>Potamogeton</i> <i>perfoliatus</i>, and <i>Najas marina</i>), at Keszthely, Hungary, in a six-season experiment, between 2015 and 2020. The modelling approach included six measured meteorological variables. Average <span class="inline-formula"><i>E</i><sub>p</sub></span> varied from 0.6 to 6.9 mm d<span class="inline-formula"><sup>−1</sup></span> for C, 0.7 to 7.9 mm d<span class="inline-formula"><sup>−1</sup></span> for S, and from 0.9 to 8.2 mm d<span class="inline-formula"><sup>−1</sup></span> for SM during the growing seasons studied. Correlation analysis and K–SOM visual representation revealed that air temperature and global radiation had positive correlation, while relative humidity had a negative correlation with the <span class="inline-formula"><i>E</i><sub>p</sub></span> of C, S, and SM. The results showed that the MLR method provided close compliance (<span class="inline-formula"><i>R</i><sup>2</sup>=0.58</span>–0.62) with the observed pan evaporation values, but the K–SOM method (<span class="inline-formula"><i>R</i><sup>2</sup>=0.97</span>–0.98) yielded by far the closest match to observed evaporation estimates for all three pans.</p> <p>To our best knowledge, no similar work has been published previously using the three modelling methods for seeded pan evaporation estimation.</p> <p>The current study differs from previous evaporation estimates by using neural networks even with those pans containing sediments and submerged macrophytes. Their evaporation will be treated directly by K–SOM, in which the modelling is more than the simple <span class="inline-formula"><i>E</i><sub>p</sub></span> of a class A pan filled with clean tap water.</p>
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spelling doaj.art-f81a61faad6e421092debaca70563b602022-12-22T03:48:22ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382022-09-01264741475610.5194/hess-26-4741-2022Pan evaporation is increased by submerged macrophytesB. Simon-GáspárG. SoósA. Anda<p>The topic of evaporation estimates is fundamental to land-surface hydrology. In this study, FAO-56 Penman–Monteith equation (FAO56–PM), multiple stepwise regression (MLR), and Kohonen self-organising map (K–SOM) techniques were used for the estimation of daily pan evaporation (<span class="inline-formula"><i>E</i><sub>p</sub></span>) in three treatments, where C was the standard class A pan with top water, S was a pan with sediment covered bottom, and SM was class A pan containing submerged macrophytes (<i>Myriophyllum</i> <i>spicatum</i>, <i>Potamogeton</i> <i>perfoliatus</i>, and <i>Najas marina</i>), at Keszthely, Hungary, in a six-season experiment, between 2015 and 2020. The modelling approach included six measured meteorological variables. Average <span class="inline-formula"><i>E</i><sub>p</sub></span> varied from 0.6 to 6.9 mm d<span class="inline-formula"><sup>−1</sup></span> for C, 0.7 to 7.9 mm d<span class="inline-formula"><sup>−1</sup></span> for S, and from 0.9 to 8.2 mm d<span class="inline-formula"><sup>−1</sup></span> for SM during the growing seasons studied. Correlation analysis and K–SOM visual representation revealed that air temperature and global radiation had positive correlation, while relative humidity had a negative correlation with the <span class="inline-formula"><i>E</i><sub>p</sub></span> of C, S, and SM. The results showed that the MLR method provided close compliance (<span class="inline-formula"><i>R</i><sup>2</sup>=0.58</span>–0.62) with the observed pan evaporation values, but the K–SOM method (<span class="inline-formula"><i>R</i><sup>2</sup>=0.97</span>–0.98) yielded by far the closest match to observed evaporation estimates for all three pans.</p> <p>To our best knowledge, no similar work has been published previously using the three modelling methods for seeded pan evaporation estimation.</p> <p>The current study differs from previous evaporation estimates by using neural networks even with those pans containing sediments and submerged macrophytes. Their evaporation will be treated directly by K–SOM, in which the modelling is more than the simple <span class="inline-formula"><i>E</i><sub>p</sub></span> of a class A pan filled with clean tap water.</p>https://hess.copernicus.org/articles/26/4741/2022/hess-26-4741-2022.pdf
spellingShingle B. Simon-Gáspár
G. Soós
A. Anda
Pan evaporation is increased by submerged macrophytes
Hydrology and Earth System Sciences
title Pan evaporation is increased by submerged macrophytes
title_full Pan evaporation is increased by submerged macrophytes
title_fullStr Pan evaporation is increased by submerged macrophytes
title_full_unstemmed Pan evaporation is increased by submerged macrophytes
title_short Pan evaporation is increased by submerged macrophytes
title_sort pan evaporation is increased by submerged macrophytes
url https://hess.copernicus.org/articles/26/4741/2022/hess-26-4741-2022.pdf
work_keys_str_mv AT bsimongaspar panevaporationisincreasedbysubmergedmacrophytes
AT gsoos panevaporationisincreasedbysubmergedmacrophytes
AT aanda panevaporationisincreasedbysubmergedmacrophytes