In:
Hydrology and Earth System Sciences, Copernicus GmbH, Vol. 26, No. 18 ( 2022-09-28), p. 4741-4756
Abstract:
Abstract. 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
(Ep) 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 (Myriophyllum spicatum, Potamogeton perfoliatus, and Najas marina), at Keszthely, Hungary, in a
six-season experiment, between 2015 and 2020. The modelling approach
included six measured meteorological variables. Average Ep varied from
0.6 to 6.9 mm d−1 for C, 0.7 to 7.9 mm d−1 for S, and from 0.9
to 8.2 mm d−1 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 Ep of C, S, and SM. The results showed
that the MLR method provided close compliance (R2=0.58–0.62) with the
observed pan evaporation values, but the K–SOM method (R2=0.97–0.98)
yielded by far the closest match to observed evaporation estimates for all
three pans. To our best knowledge, no similar work has been published previously using
the three modelling methods for seeded pan evaporation estimation. 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 Ep of a class A pan filled with clean
tap water.
Type of Medium:
Online Resource
ISSN:
1607-7938
DOI:
10.5194/hess-26-4741-2022
DOI:
10.5194/hess-26-4741-2022-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2022
detail.hit.zdb_id:
2100610-6
Permalink
