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一种评估印度阿尔朗船舶回收场工人潜在最大重金属暴露的新方法。

A novel approach to estimating potential maximum heavy metal exposure to ship recycling yard workers in Alang, India.

机构信息

Centre for Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India.

出版信息

Sci Total Environ. 2012 Nov 1;438:304-11. doi: 10.1016/j.scitotenv.2012.08.048. Epub 2012 Sep 25.

Abstract

The 180 ship recycling yards located on Alang-Sosiya beach in the State of Gujarat on the west coast of India is the world's largest cluster engaged in dismantling. Yearly 350 ships have been dismantled (avg. 10,000 ton steel/ship) with the involvement of about 60,000 workers. Cutting and scrapping of plates or scraping of painted metal surfaces happens to be the commonly performed operation during ship breaking. The pollutants released from a typical plate-cutting operation can potentially either affect workers directly by contaminating the breathing zone (air pollution) or can potentially add pollution load into the intertidal zone and contaminate sediments when pollutants get emitted in the secondary working zone and gets subjected to tidal forces. There was a two-pronged purpose behind the mathematical modeling exercise performed in this study. First, to estimate the zone of influence up to which the effect of plume would extend. Second, to estimate the cumulative maximum concentration of heavy metals that can potentially occur in ambient atmosphere of a given yard. The cumulative maximum heavy metal concentration was predicted by the model to be between 113 μg/Nm(3) and 428 μg/Nm(3) (at 4m/s and 1m/s near-ground wind speeds, respectively). For example, centerline concentrations of lead (Pb) in the yard could be placed between 8 and 30 μg/Nm(3). These estimates are much higher than the Indian National Ambient Air Quality Standards (NAAQS) for Pb (0.5 μg/Nm(3)). This research has already become the critical science and technology inputs for formulation of policies for eco-friendly dismantling of ships, formulation of ideal procedure and corresponding health, safety, and environment provisions. The insights obtained from this research are also being used in developing appropriate technologies for minimizing exposure to workers and minimizing possibilities of causing heavy metal pollution in the intertidal zone of ship recycling yards in India.

摘要

位于印度古吉拉特邦西海岸阿兰格-索西亚海滩的 180 家拆船场是世界上最大的拆船集群,每年拆解 350 艘船舶(平均每艘 10000 吨钢/船),涉及约 60000 名工人。在船舶拆解过程中,通常会进行钢板切割或刮除油漆金属表面等操作。典型的钢板切割作业释放的污染物可能会直接污染工人的呼吸区(空气污染),也可能会在二次作业区排放污染物时增加潮间带的污染负荷并污染沉积物。本研究中的数学建模练习有两个目的。首先,估计羽流影响范围。其次,估计给定场地周围大气中重金属的累积最大浓度。模型预测累积最大重金属浓度在 113μg/Nm³和 428μg/Nm³之间(分别为 4m/s 和 1m/s 近地面风速)。例如,该场地中心线上的铅(Pb)浓度可能在 8μg/Nm³和 30μg/Nm³之间。这些估计值远高于印度国家环境空气质量标准(NAAQS)规定的 Pb 浓度(0.5μg/Nm³)。该研究已经成为制定船舶环保拆解政策、制定理想程序和相应的健康、安全和环境规定的关键科学和技术投入。该研究还为开发适当的技术提供了依据,以减少工人接触的可能性,并最大限度地减少印度拆船场潮间带重金属污染的可能性。

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