Soil and Aquifer Properties Combine as Predictors of Groundwater Uranium Concentrations within the Central Valley, California

Alandra M. Lopez; Arden Wells; Scott Fendorf

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Soil and Aquifer Properties Combine as Predictors of Groundwater Uranium Concentrations within the Central Valley, California

机译：土壤和含水层属性与地下水铀浓度的预测因子相结合，加利福尼亚州中央山谷内的地下水铀浓度

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With the increasing global need for groundwater resources to fulfill domestic, agricultural, and industrial demands, we face the threat of increasing concentrations of naturally occurring contaminants in water sources and a consequential need to improve our predictive capacity. Here, we combine machine learning and geochemical modeling to reveal the biogeochemical controls on regional groundwater uranium contamination within the Central Valley,California. We use 23 environmental parameters from a statewide groundwater geochemical database and publicly available maps of soil and aquifer physicochemical properties to predict groundwater uranium concentrations by random forest regression. We find that groundwater calcium, nitrate, and sulfate concentrations, soil pH, and clay content (weighted average between 0 and 2 m depths) are the most important predictors of groundwater uranium concentrations. By pairing multivariate partial dependence and accumulated local effect plots with modeled aqueous uranium speciation and surface complexation outputs, we show that regional groundwater uranium exceedances of drinking water standards, 30 μg L~(-1) , are dependent on the formation of uranyl-calcium-carbonato species. The geochemical conditions leading to ternary uranyl complexes within the aquifer are, in part, created by infiltration through the vadose zone, illustrating the critical dependence of groundwater quality on recharge conditions.

机译：随着地下水资源的越来越多，履行国内，农业和工业需求，我们面临着日益浓度的水源天然污染物浓度的威胁，并因此需要提高我们的预测能力。在这里，我们将机器学习和地球化学建模相结合，揭示了加利福尼亚中央山谷内部地下水铀污染的生物地球化学控制。我们使用23种环境参数从州际地下水地球化学数据库和公开的土壤和含水层物理化学物质地图，通过随机森林回归预测地下水铀浓浓度。我们发现地下水钙，硝酸盐和硫酸盐浓度，土壤pH和粘土含量（0到2米深度之间的加权平均值）是地下水铀浓度最重要的预测因子。通过用模拟的铀形态和表面络合产出配对多变量部分依赖性和累积局部效应图，我们表明，区域地下水铀超标于饮用水标准，30μgL〜（-1），取决于铀酰钙的形成-Carbonato物种。导致含水层内的三元铀酰络合物的地球化学条件部分地通过渗透通过VADOSE区域产生，示出了地下水质量对充电条件的临界依赖性。

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来源
《Environmental Science & Technology》 |2021年第1期|352-361|共10页
作者
Alandra M. Lopez; Arden Wells; Scott Fendorf;
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作者单位

Earth System Science Department Stanford University Stanford California 94305 United States;

Earth System Science Department Stanford University Stanford California 94305 United States;

Earth System Science Department Stanford University Stanford California 94305 United States;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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正文语种 eng
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Soil and Aquifer Properties Combine as Predictors of Groundwater Uranium Concentrations within the Central Valley, California

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