The unignorable impacts of pan wall on pan evaporation dynamics

Wang, Kaiwen; Liu, Xiaomang; Liu, Changming; Yang, Xiaohua; Bai, Peng; Li, Yuqi; Pan, Zharong

doi:10.1016/j.agrformet.2019.04.016

Cited by 11 publications

(3 citation statements)

References 32 publications

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“…But the analysis of the variation trend and causes of PE in the YRB based on the measured evaporation data is of great significance for the water cycle, dry and wet variation characteristics and regional differences in response to global climate change. In addition, the variations of PE are also influenced by non‐meteorological factors such as the installation way of evaporation pan, pan wall and the surrounding environment (Ren et al, 2002; Wang, Liu, Liu, et al, 2019), as well as human factors such as aerosols and haze, which should not be ignored, so it is necessary to further explore in future studies.…”

Section: Discussionmentioning

confidence: 99%

Identifying multivariate controls of pan evaporation variations in subregions of Yangtze River Basin using multiple wavelet coherence

Yang,

He,

et al. 2023

Hydrological Processes

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In this study, temporal variations of pan evaporation (PE) and its optimal combination of controlling factors are investigated in the subregions of Yangtze River Basin (YRB) by using multiple wavelet coherence (MWC). For this purpose, the YRB is firstly divided into nine relatively homogeneous PE subregions by combining empirical orthogonal functions with fuzzy C‐means clustering. After regionalization, temporal variations of regional PE are analysed in each of subregions. Results reveal that regional annual PE has an upward trend in all subregions, and seasonal PE in almost the subregions for four different seasons. The wavelet transform coherence (WTC) analysis shows that vapour pressure deficit (VPD) is the primary controlling factor of PE variations in all subregions. In single factor analysis, VPD, sunshine duration (SSD) and 0 cm ground temperature (ZGT) have a higher covariance with PE than other influencing factors. For two‐factor analysis, the APS (air pressure)‐VPD combination, and for three‐factor analysis, the AWS (average wind speed)‐ ZGT‐VPD combination are the most common best explanatory variables on PE variations. A comparison of the results from the WTC and MWC indicates that PE variations can be explained more accurately by one, two, or three controlling factors. The combination of factors that optimally explains PE variations largely varies with subregions but with VPD as a dominant factor either alone or in combination for all subregions. Moreover, the optimal factor combination for a subregion is not necessarily combined by the first, second and/or third dominant factors for that subregion. Our results can provide useful insights into how multiple temporal dependency of PE is linked with meteorological factors in subregions of the YRB, particularly for PE modelling under changing climate conditions.

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Section: Discussionmentioning

confidence: 99%

Identifying multivariate controls of pan evaporation variations in subregions of Yangtze River Basin using multiple wavelet coherence

Yang,

He,

et al. 2023

Hydrological Processes

View full text Add to dashboard Cite

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“…Besides, K. Wang, Liu, Liu, et al. (2019) used RHtestsV4 to homogenize RH and found a −0.034%/a decreasing trend during 1993–2016, while original RH data decreased at −0.12%/a. Meanwhile, the RH trend in the same period according to Figure 4a, that is, a −0.12%/a trend in original RH series, a −0.06%/a trend in the modified‐1% RH series, and a 0.001%/a trend in the modified‐2% RH.…”

Section: Discussionmentioning

confidence: 99%

Revisiting the Pan Evaporation Trend in China During 1988–2017

Shen

Yang

et al. 2022

JGR Atmospheres

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“…As a conventional evaporator for hydrological and meteorological stations, evaporation pans are widely used in hydrology and meteorology applications due to their simplicity, low cost, and practicality (Bruton et al., 2000; Stanhill & Cohen, 2001; Zuo et al., 2016). Pan evaporation is an important reference for understanding global climate differences, lake reservoir water volume calculations, and atmospheric evaporative demand (Lehmann et al., 2019; Rotstayn et al., 2006; Wang et al., 2019). Accurate measurement or prediction of pan evaporation can provide a scientific basis for water resource assessment, hydrometeorological forecasting, and decision‐making regarding agricultural activity and climate change (McJannet et al., 2013; Snyder, 1992).…”

Section: Introductionmentioning

confidence: 99%

An Improved Approach for Estimating Pan Evaporation Using a New Aerodynamic Mechanism Model

Qiu

Gao

Yan

et al. 2022

Water Resources Research

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In response to a decline in pan evaporation over the last 60 years under global warming of water bodies, we designed an experiment with water bodies heated naturally to different temperatures to investigate the physics of pan evaporation and explore the effect of water temperature. In this study, we developed a new aerodynamic model for pan evaporation by combining a free convention sub‐model that couples Fick's First Law of Diffusion with boundary layer theory and a forced convection sub‐model based on convection mass transfer. Both the improved aerodynamic model and the two sub‐models have a higher accuracy and stability (|PBIAS| < 6%, root mean squared Error [RMSE] < 0.65 mm d−1, and Nash‐Sutcliffe efficiency [NSE] > 0.8). Sensitivity analysis shows that water temperature is the most sensitive parameter to evaporation (S1 = 0.58, ST = 0.78). The mechanism of rising water temperature on evaporation is not only due to the strengthening in mass diffusion (under windless conditions), but also in the promotion in mass convection (under windy conditions). The integrated effects of mass diffusion and mass convection could result in an increase in evaporation of 0.8 mm d−1, as mean water temperature rises by 1°C. These results would be useful for evaporation estimation of the warming global water.

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The unignorable impacts of pan wall on pan evaporation dynamics

Cited by 11 publications

References 32 publications

Identifying multivariate controls of pan evaporation variations in subregions of Yangtze River Basin using multiple wavelet coherence

Identifying multivariate controls of pan evaporation variations in subregions of Yangtze River Basin using multiple wavelet coherence

Revisiting the Pan Evaporation Trend in China During 1988–2017

An Improved Approach for Estimating Pan Evaporation Using a New Aerodynamic Mechanism Model

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