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Natural recharge estimation and uncertainty analysis of an adjudicated groundwater basin using a regional-scale flow and subsidence model (Antelope Valley, California, USA)

机译:使用区域规模的流量和沉降模型对裁决的地下水盆地进行自然补给估算和不确定性分析(美国加利福尼亚州羚羊谷)

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摘要

Groundwater has provided 50-90 % of the total water supply in Antelope Valley, California (USA). The associated groundwater-level declines have led the Los Angeles County Superior Court of California to recently rule that the Antelope Valley groundwater basin is in overdraft, i.e., annual pumpage exceeds annual recharge. Natural recharge consists primarily of mountain-front recharge and is an important component of the total groundwater budget in Antelope Valley. Therefore, natural recharge plays a major role in the Court's decision. The exact quantity and distribution of natural recharge is uncertain, with total estimates from previous studies ranging from 37 to 200 gigaliters per year (GL/year). In order to better understand the uncertainty associated with natural recharge and to provide a tool for groundwater management, a numerical model of groundwater flow and land subsidence was developed. The transient model was calibrated using PEST with water-level and subsidence data; prior information was incorporated through the use of Tikhonov regularization. The calibrated estimate of natural recharge was 36 GL/year, which is appreciably less than the value used by the court (74 GL/year). The effect of parameter uncertainty on the estimation of natural recharge was addressed using the Null-Space Monte Carlo method. A Pareto trade-off method was also used to portray the reasonableness of larger natural recharge rates. The reasonableness of the 74 GL/year value and the effect of uncertain pumpage rates were also evaluated. The uncertainty analyses indicate that the total natural recharge likely ranges between 34.5 and 54.3 GL/year.
机译:在美国加利福尼亚州的羚羊谷,地下水提供了总供水量的50-90%。相关的地下水位下降导致加利福尼亚洛杉矶县高等法院最近裁定羚羊谷地下水盆地处于透支状态,即年抽水量超过年补给量。自然补给主要包括山前补给,是羚羊谷地下水总预算的重要组成部分。因此,自然补给在法院的判决中起着重要作用。天然补给的确切数量和分布尚不确定,先前研究的总估计量为每年37至200吉升(GL /年)。为了更好地理解与自然补给有关的不确定性,并为地下水管理提供了一种工具,开发了一个地下水流量和地面沉降的数值模型。瞬态模型使用PEST进行了水位和沉降数据的校准。通过使用Tikhonov正则化合并了先前的信息。校准后的自然补给估算值为36 GL /年,明显低于法院使用的价值(74 GL /年)。使用零空间蒙特卡洛方法解决了参数不确定性对自然补给估算的影响。还使用帕累托权衡方法来描绘较大自然补给率的合理性。还评估了74 GL /年值的合理性以及不确定的抽水率的影响。不确定性分析表明,总自然补给量可能在34.5至54.3 GL /年之间。

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