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首页> 外文期刊>Environmental Science & Technology >Predicting Geogenic Arsenic Contamination in Shallow Groundwater of South Louisiana, United States
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Predicting Geogenic Arsenic Contamination in Shallow Groundwater of South Louisiana, United States

机译：预测美国南路易斯安那州浅层地下水中的基因砷污染

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摘要

Groundwater contaminated with arsenic (As) threatens the health of more than 140 million people worldwide. Previous studies indicate that geology and sedimentary depositional environments are important factors controlling groundwater As contamination. The Mississippi River delta has broadly similar geology and sedimentary depositional environments to the large deltas in South and Southeast Asia, which are severely affected by geogenic As contamination and therefore may also be vulnerable to groundwater As contamination. In this study, logistic regression is used to develop a probability model based on surface hydrology, soil properties, geology, and sedimentary depositional environments. The model is calibrated using 3286 aggregated and binary-coded groundwater As concentration measurements from Bangladesh and verified using 78 As measurements from south Louisiana. The model's predictions are in good agreement with the known spatial distribution of groundwater As contamination of Bangladesh, and the predictions also indicate high risk of As contamination in shallow groundwater from Holocene sediments of south Louisiana. Furthermore, the model correctly predicted 79% of the existing shallow groundwater As measurements in the study region, indicating good performance of the model in predicting groundwater As contamination in shallow aquifers of south Louisiana.
机译：受到砷（As）污染的地下水威胁着全球1.4亿多人的健康。先前的研究表明，地质和沉积环境是控制地下水As污染的重要因素。密西西比河三角洲的地质和沉积环境与南亚和东南亚的大三角洲大致相似，这些地区受到地质成因砷污染的严重影响，因此也可能易受地下水砷污染的影响。在这项研究中，逻辑回归用于建立基于地表水文学，土壤性质，地质学和沉积沉积环境的概率模型。该模型使用来自孟加拉国的3286个汇总和二进制编码的地下水As浓度测量值进行了校准，并使用来自路易斯安那州南部的78 As测量值进行了验证。该模型的预测与孟加拉国地下水As污染的已知空间分布非常吻合，并且该预测还表明路易斯安那南部南部全新世沉积物中浅层地下水As污染的高风险。此外，该模型正确地预测了研究区域内79％的现有浅层地下水As含量，表明该模型在预测路易斯安那州南部浅层含水层中As的污染方面表现良好。

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  • 来源
    《Environmental Science & Technology》 |2014年第10期|5660-5666|共7页
  • 作者

    Ningfang Yang; Lenny H. E. Winkel; Karen H. Johannesson;

  • 作者单位

    Department of Earth and Environmental Sciences, Tulane University, 101 Blessey Hall, New Orleans, Louisiana 70118, United States;

    Eawag, Swiss Federal Institute of Aquatic Science and Technology, UEberlandstrasse 133, P.O. Box 611, 8600 Duebendorf, Switzerland,Institute of Biogeochemistry and Pollution Dynamics, ETH Zurich, Universitaetstrasse 16, 8092 Zurich, Switzerland;

    Department of Earth and Environmental Sciences, Tulane University, 101 Blessey Hall, New Orleans, Louisiana 70118, United States;

  • 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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