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首页> 外文期刊>Journal of Hydrology >Seasonal recharge components in an urban/agricultural mountain front aquifer system using noble gas thermometry
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Seasonal recharge components in an urban/agricultural mountain front aquifer system using noble gas thermometry

机译:稀有气体测温法在城市/农业山区前沿含水层系统中的季节性补给成分

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摘要

Thirteen noble gas samples were collected from eleven wells and two mountain springs in the Treasure Valley, Idaho, USA to derive recharge temperatures using noble gas thermometry. One common assumption with noble gas thermometry is that recharge temperatures are roughly equal to the mean annual surface temperature. When water table depths are shallow or variable, or infiltration is seasonal recharge temperatures may be significantly different from the mean annual surface temperature. Water table depths throughout the study area were used to estimate recharge source temperatures using an infiltration-weighted recharge temperature model which takes into account a time-variable water table. This model was applied to six different seasonally-dependent recharge scenarios. The modeled recharge temperatures for all scenarios showed a strong dependence of recharge temperature on mean annual depth to water. Temperature results from the different recharge scenarios ranged from near the mean annual surface temperature to as much as 6 °C warmer. This compared well to noble gas derived recharge temperatures from the valley wells which ranged from 5 °C below to 7.4 °C above the mean annual surface temperature of the valley. Cooler temperatures suggest an influence of recharge through the adjacent mountain block while warmer temperatures suggest an influence from summer irrigation.
机译:从美国爱达荷州金银谷的11口井和两个山泉中采集了13个稀有气体样品,使用稀有气体测温仪得出补给温度。稀有气体测温法的一个常见假设是补给温度大致等于年平均表面温度。当地下水位深度浅或变化不定,或入渗为季节性补给温度时,其年平均地表温度可能会明显不同。使用渗透加权的补给温度模型(考虑了时变的地下水位),将整个研究区域的地下水位深度用于估算补给源温度。该模型已应用于六个不同的季节性补给方案。在所有情况下,模型化的补给温度都显示出补给温度对水平均年深度的强烈依赖性。不同补给情景下的温度结果范围从接近年平均地表温度到高达6°C的温度。将该井与来自谷井的稀有气体获得的补给温度进行了比较,该温度范围从谷底的年均地面温度以下5°C到之上的7.4°C以上。凉爽的温度暗示着附近山脉的补给影响,而温暖的气温暗示着夏季灌溉的影响。

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