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Predicting Arsenic (As) Exposure on Human Health for Better Management of Drinking Water Sources

机译:预测砷(AS)对人体健康的暴露以便更好地管理饮用水来源

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摘要

Chemical pollution in the transboundary Langat River in Malaysia is common both from point and non-point sources. Therefore, the water treatment plants (WTPS) at the Langat River Basin have experienced frequent shutdown incidents. However, the Langat River is one of the main sources of drinking water to almost one-third of the population in Selangor state. Meanwhile, several studies have reported a high concentration of Arsenic (As) in the Langat River that is toxic if ingested via drinking water. However, this is a pioneer study that predicts the As concentration in the Langat River based on time-series data from 2005–2014 to estimate the health risk associated with As ingestion via drinking water at the Langat River Basin. Several time-series prediction models were tested and Gradient Boosted Tree (GBT) gained the best result. This GBT model also fits better to predict the As concentration until December 2024. The mean concentration of As in the Langat River for both 2014 and 2024, as well as the carcinogenic and non-carcinogenic health risks of As ingestion via drinking water, were within the drinking water quality standards proposed by the World Health Organization and Ministry of Health Malaysia. However, the ingestion of trace amounts of As over a long period might be detrimental to human health because of its non-biodegradable characteristics. Therefore, it is important to manage the drinking water sources to minimise As exposure risks to human health.
机译:马来西亚越境洛杉矶河流的化学污染是点和非点来源的常见。因此,Langat River盆地的水处理厂(WTPS)经历了经常关闭事件。然而,Langat River是饮用水的主要来源之一,即雪兰莪州的几乎三分之一。与此同时,几项研究报告了在汉族河中的高浓度(AS),如果通过饮用水摄入毒性。然而,这是一种先驱研究,其基于2005 - 2014年的时间序列数据预测Langat River中的浓度,以估计与Langat River盆地的饮用水相关的健康风险。测试了多个时间序列预测模型,并获得了渐变增强树(GBT)获得了最佳结果。此GBT模型也适合预测到2024年12月至12月的集中。在2014年和2024年的Langat River中的平均浓度以及通过饮用水摄入的致癌和非致癌健康风险世界卫生组织和卫生部马来西亚提出的饮用水质量标准。然而,由于其不可生物降解的特征,对痕量的痕量量可能对人体健康有害。因此,管理饮用水来源非常重要,以尽量减少对人体健康的风险。

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