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Estimation of evaporation from saline water

机译:盐水蒸发估算

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Evaporation, as the main source of water loss from closed lakes, makes a significant contribution to the water balance equation of the lake and can lead to changes in the chemical composition thereof. The objective of the study was to develop an equation for estimation of evaporation from the water surface with different depths and concentrations. To that end, 48 barrels were used to model evaporation at 6 different depths and 8 different concentrations of salinity. The experiments have been conducted in the same meteorological condition for all the barrels near the Urmia Lake. Data were collected in March 1, 2019, to Aug 31, 2019. Different equations fitted to data for each concentrations of salinity separately with different depths, and the equations with the least errors were selected. A model was then developed for the estimation of evaporation, considering the effect of salinity and depth, and the results were compared with daily measurements. The results were evaluated using the root mean square error (RMSE), correlation coefficient (CC), and Nash-Sutcliffe efficiency coefficient (NS). The results indicated that evaporation (Horizontal row) from water surface with high concentrations of salinity to low concentrations of salinity in different depths had an incremental trend. However, it can be seen in the vertical row that evaporation increased from low depth to high depth, and then decreased at a certain depth (120 cm) while the maximum evaporation rate belonged to 90-cm barrels for each concentration of salinity (in the vertical and horizontal row). At the end, the comparison of evaporation computed from the model and measured data showed that the model estimated evaporation at different depths and concentrations of salinity satisfactorily.
机译:作为封闭湖泊的水分损失主要来源的蒸发,对湖泊的水平衡方程进行了重大贡献,并导致其化学成分的变化。该研究的目的是开发出估计水面蒸发的方程,以不同的深度和浓度。为此,使用48桶以6种不同的深度和8种不同盐度模拟蒸发。实验已经在荨麻疹附近的所有桶中进行了相同的气象条件。数据在2019年3月1日至2019年8月31日收集。选择于每个盐度的数据分别具有不同深度的不同方程,以及选择具有最少误差的方程。然后开发了一种模型,用于估计蒸发,考虑到盐度和深度的影响,结果与日常测量进行了比较。使用根均方误差(RMSE),相关系数(CC)和NASH-SUTCLIFFE效率系数(NS)评估结果。结果表明,在不同深度的高浓度盐度与低浓度盐度的水表面蒸发(水平行)具有增量趋势。然而,在垂直行中可以看出,蒸发从低深度增加到高深,然后在一定的深度(120cm)处减小,而每个盐度的最大蒸发速率属于90-cm桶(在垂直和水平行)。最后,从模型和测量数据计算的蒸发的比较表明,令人满意地估计不同深度和盐度浓度的模型估计。

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