Advances in observation and calculation of lake evaporation

Yifan, Cui; ,; Yuanbo, Liu

doi:10.18307/2023.0501

Cited by 3 publications

(1 citation statement)

References 108 publications

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“…The Penman model was established by considering the effects of energy balance and gas flow, and the model has been widely verified and applied (Penman, 1948). The Penman model was simplified with the Priestley-Taylor coefficient (Priestley and Taylor, 1972;Cui and Liu, 2023). The R-H model was established based on the superposition relationship between free convection and forced convection, which is widely used (Ryan et al, 1974).…”

Section: Introductionmentioning

confidence: 99%

Study on evaporation drainage of deep coal seam gas wells

Zhu,

Jing,

Zhang

et al. 2024

Front. Energy Res.

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Targeting the problem of a small amount of fluid accumulation in deep coal seam gas (CSG) wells during flowing production stage, the evaporation drainage method is proposed to discharge the liquid accumulation. Based on the Dalton evaporation model and wind speed function, a calculation model of evaporation drainage was established for deep CSG wells, which was verified by laboratory experiments. Taking a CSG well in the western Ordos Basin as an example to analyze the evaporation drainage capacity, the influence of temperature, daily gas production, bottomhole flowing pressure (BHFP), formation gas water saturation on the evaporation drainage capacity was investigated. The results show that the maximum evaporation water production is 2,533.8 kg/d at a bottomhole temperature of 80°C and a gas production rate of 30 × 103 m3/d. It is found that the temperature and pressure have a marked influence on the evaporation drainage. By improving the gas production and bottomhole temperature, and reducing the BHFP can effectively promote the evaporation drainage capacity. The initial moisture content of CSG in the reservoir are inversely proportional to the evaporation drainage capacity. By adjusting the BHFP and daily gas production, the evaporation drainage capacity can match the liquid production rate of the formation. Evaporation drainage can effectively extend the flowing production time of deep CSG wells and reduce the costs of production.

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Section: Introductionmentioning

confidence: 99%

Study on evaporation drainage of deep coal seam gas wells

Zhu,

Jing,

Zhang

et al. 2024

Front. Energy Res.

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Energy conversion for water surface evaporation in evaporation ponds with different depths and improvement of Dalton model

Zhang,

Chen,

et al. 2024

Journal of Hydrology

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Impact Analysis of H2O Fluxes and High-Frequency Meteorology–Water Quality: Multivariate Constrained Evaporation Modelling in Lake Wuliangsuhai, China

Sun,

Shi,

Zhao

et al. 2024

Water

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It is imperative to elucidate the process of evaporation in lakes, particularly those that are freshwater and are situated in middle and high latitudes. Based on one-year evaporation and high-frequency meteorological–water quality data of Lake Wuliangsuhai, this study analyzed the applicability and driving mechanism of the evaporation model. These dynamics are elucidated by the vorticity covariance method combined with the multivariate constrained evaporation Modelling method. The findings of this study revealed that (1) Lake evaporation (ET) is affected by multiple meteorological–water quality constraints, and the water quality indicators significantly related to ET are also affected by lake stratification. The coupled meteorological–water quality evaporation model can explain 93% of the evaporation change, which is 20% higher than the traditional meteorological Modelling evaporation model. (2) The nighttime ET is mainly affected by the thermal inertia lag, and the nighttime ET loss in Lake Wuliangsuhai accounts for 37.34% of the total evaporation, which cannot be ignored. (3) The actual water surface evaporation of the lake is much smaller than that measured by the pan conversion method and the regional empirical C formula method. The cumulative evaporation of Lake Wuliangsuhai from the non-freezing period to the early glacial period converted from meteorological station data is 1333.5 mm. The total evaporation in the non-freezing period is 2.77~3.68 × 108 m3, calculated by the lake area of 325 km2, while the evaporation calculated by the eddy station is 1.91 × 108 m3. In addition, the ET value measured by the cumulative C formula method was 424.2% higher than that of the model method and exceeded the storage capacity. Low-frequency and limited environmental index observations may lead to an overestimation of the real lake evaporation. Therefore, in situ, high-frequency meteorological–water quality monitoring and the eddy method deserve more consideration in future research on lake evaporation.

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Advances in observation and calculation of lake evaporation

Cited by 3 publications

References 108 publications

Study on evaporation drainage of deep coal seam gas wells

Study on evaporation drainage of deep coal seam gas wells

Energy conversion for water surface evaporation in evaporation ponds with different depths and improvement of Dalton model

Impact Analysis of H2O Fluxes and High-Frequency Meteorology–Water Quality: Multivariate Constrained Evaporation Modelling in Lake Wuliangsuhai, China

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