埃及南西奈地区与慢性肾病风险相关的Hofmeister离子的地理空间分析和预测模型

IF 2.2 4区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Eltaher M. Shams , Ahmed A. Asmoay , Sahar N.E. Tawfik , Rashad Sawires
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引用次数: 0

摘要

本研究首次对埃及南西奈地区地下水中的Hofmeister离子及其与病因不明的慢性肾脏疾病(CKDu)的潜在联系进行了综合地理和预测建模评估。在Wadi Feiran和Wadi El Sheikh采集了25份地下水样本,分析了主要离子、营养成分和关键理化参数。结果显示,硝酸盐(平均值为478.1 ppm)和总溶解固体(TDS,平均值为2093 ppm)的含量高得惊人,远远超过了世界卫生组织(世卫组织)的安全标准,表明这些干旱社区的公共卫生面临巨大的潜在风险。尽管加权算术水质指数(WQI)将所有样本分类为“好”到“优”,但详细的水化学评估表明,许多样本(分别为21和16)的霍夫迈斯特离子浓度——尤其是钙和钠——超过了安全的平均日摄入量阈值。这种超标引起了人们对高钙血症、高血压和CKDu进展的潜在发展的关注,特别是在获得替代饮用水源有限的人群中。水化学解释表明,岩石-水相互作用、蒸发和人为输入可能是观测到的离子水平的贡献者。利用多元线性回归(MLR)建立的预测模型对硝酸盐的预测效果良好(R2 = 99.71%),突出了其在数据稀缺干旱区预测污染趋势和识别地下水脆弱性热点的价值。这些发现强调迫切需要进行有针对性的地下水质量监测,将预测风险建模纳入管理框架,并实施预防性公共卫生措施。通过将地球化学数据与健康风险指标相结合,本研究为制定以证据为基础的政策提供了科学依据,以保护社区并促进干旱环境中地下水资源的可持续利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial analysis and predictive modeling of Hofmeister ions in relation to chronic kidney disease risk in South Sinai, Egypt
This study presents the first integrated geographic and predictive modeling assessment of Hofmeister ions in groundwater and their potential link to chronic kidney disease of unknown etiology (CKDu) in South Sinai, Egypt. A total of 25 groundwater samples were collected from Wadi Feiran and Wadi El Sheikh and analyzed for major ions, nutrients, and key physicochemical parameters. The results revealed alarmingly high levels of nitrate (mean = 478.1 ppm) and total dissolved solids (TDS, mean = 2093 ppm), far exceeding World Health Organization (WHO) safety standards, and pointing to substantial potential risks to public health in these arid communities. Although the weighted arithmetic Water Quality Index (WQI) classified all samples as “good” to “excellent,” detailed hydrochemical assessment showed that concentrations of Hofmeister ions—particularly calcium and sodium—surpassed safe average daily intake thresholds in many samples (21 and 16, respectively). Such exceedances raise concerns over the potential development of hypercalcemia, hypertension, and the progression of CKDu, particularly among populations with limited access to alternative drinking water sources. Hydrochemical interpretations suggest that rock–water interactions, evaporation, and anthropogenic inputs are likely contributors to the observed ion levels. Predictive modeling using multiple linear regression (MLR) demonstrated excellent performance (R2 = 99.71 % for nitrate), highlighting its value in forecasting contamination trends and identifying groundwater vulnerability hotspots in data-scarce arid regions. These findings underscore the urgent need for targeted groundwater quality monitoring, the integration of predictive risk modeling into management frameworks, and the implementation of preventive public health measures. By bridging geochemical data with health risk metrics, this research provides a scientific basis for developing evidence-based policies to safeguard communities and promote the sustainable use of groundwater resources in arid environments.
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来源期刊
Journal of African Earth Sciences
Journal of African Earth Sciences 地学-地球科学综合
CiteScore
4.70
自引率
4.30%
发文量
240
审稿时长
12 months
期刊介绍: The Journal of African Earth Sciences sees itself as the prime geological journal for all aspects of the Earth Sciences about the African plate. Papers dealing with peripheral areas are welcome if they demonstrate a tight link with Africa. The Journal publishes high quality, peer-reviewed scientific papers. It is devoted primarily to research papers but short communications relating to new developments of broad interest, reviews and book reviews will also be considered. Papers must have international appeal and should present work of more regional than local significance and dealing with well identified and justified scientific questions. Specialised technical papers, analytical or exploration reports must be avoided. Papers on applied geology should preferably be linked to such core disciplines and must be addressed to a more general geoscientific audience.
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