2016
DOI: 10.3390/w8110527
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Lake Evaporation in a Hyper-Arid Environment, Northwest of China—Measurement and Estimation

Abstract: Lake evaporation is a critical component of the hydrological cycle. Quantifying lake evaporation in hyper-arid regions by measurement and estimation can both provide reliable potential evaporation (ET 0 ) reference and promote a deeper understanding of the regional hydrological process and its response towards changing climate. We placed a floating E601 evaporation pan on East Juyan Lake, which is representative of arid regions' terminal lakes, to measure daily evaporation and conducted simultaneous bankside s… Show more

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Cited by 31 publications
(21 citation statements)
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“…Despite the short distance between Juyan Lake and Ejin station (Figure 1), distinct differences between their meteorological variables have been documented previously [10]. To calculate E L , the meteorological variables T a , RH, and U measured at the Ejin station were first recalculated according to the relationship between the two sites [10] and E p was estimated by the selected models.…”
Section: Pan Coefficient and Lake Evaporationmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite the short distance between Juyan Lake and Ejin station (Figure 1), distinct differences between their meteorological variables have been documented previously [10]. To calculate E L , the meteorological variables T a , RH, and U measured at the Ejin station were first recalculated according to the relationship between the two sites [10] and E p was estimated by the selected models.…”
Section: Pan Coefficient and Lake Evaporationmentioning
confidence: 99%
“…To calculate E L , the meteorological variables T a , RH, and U measured at the Ejin station were first recalculated according to the relationship between the two sites [10] and E p was estimated by the selected models. Secondly, the monthly E p was related to the measured E L (mm·month −1 ) at the surface of the lake approximately 150 m from the bank during the unfrozen period of 2014 to 2015 by Liu et al [10], and a coefficient (K p ) was calculated following Abtew [40]:…”
Section: Pan Coefficient and Lake Evaporationmentioning
confidence: 99%
“…However, as indicated by Sophocleous [3], the interactions between surface water and groundwater are complex, and obtaining a deep understanding of these interactions in relation to the climate, landform features, geology, and biotic factors remains a great challenge. Clearly, the exchange between surface water and groundwater is likely to become even mm and an annual potential evaporation of approximately 1500 mm [38,40]. Over the period of 1961-2015, the mean annual air temperature was +9.09 °C, with a minimum monthly mean air temperature of −11.23 °C in January and a maximum monthly mean air temperature of +27.05 °C in July [16].…”
Section: Introductionmentioning
confidence: 99%
“…In most previously published studies, observations, and modeling of the evaporation rates of the lake in the lower HRB represented the key focuses of research on lake water consumption [23][24][25]. However, the harsh conditions in the lower HRB make it difficult to obtain long-series observation data or qualified estimated values from physical-process-based models.…”
Section: Introductionmentioning
confidence: 99%
“…In this case, empirical modelling is often considered as the most suitable method to obtain reliable evaporation rate data. For example, Liu (2016) [25] measured daily lake evaporation rates using a floating E601 pan on a lake, and developed a practical evaporation model to quantify the open water evaporation rate in the lower HRB. The semi-empirical evaporation model has proved to be in accordance with other related studies in the study area [23,24].…”
Section: Introductionmentioning
confidence: 99%