Department of Chemical Engineering, Bangladesh University of Engineering and Technology (BUET), Palashi, Dhaka-1000, Bangladesh.
Department of Chemical Engineering, University of California, One Shields Avenue, Davis, USA.
Environ Monit Assess. 2022 May 6;194(6):406. doi: 10.1007/s10661-022-10073-0.
Industrial pollution in Bangladesh has posed a serious threat to human health, economic activity, and the environment. By emphasizing industries that produce major pollutants, substantial improvements can be made to pollution mitigation measures. In countries where primary pollution data is not readily available, the Industrial Pollution Projection System (IPPS) could be used to calculate the pollution load utilizing total industrial output or employment data. IPPS data, which was designed for developed countries like the USA, had been used directly for other countries without any normalization in previously reported studies. The main purpose of this study is to modify the current IPPS approach for any other country by incorporating specific correction factor for a specific country. In this study, a specific correction factor for Bangladesh was determined, taking into account the country's major polluting industries, and used to estimate the pollution scenario for the year 2020. The accuracy of the specific pollution intensities was also evaluated by comparing the data obtained using both gross output and employee number. According to this study, the top three air-polluting industries are structural clay products, cement-lime-plaster industry, and iron and steel industry. Similarly, for water pollution, the food industry, paper and paper product industry, and textile industry are the largest pollutant contributors. The detailed pollution load matrix in terms of air and water pollution is also developed, and can be used to predict both short-term and long-term scenarios of industrial pollution in Bangladesh, which eventually will assist the policy makers to adopt appropriate pollution management approach. Moreover, the methods developed in this study will help to tailor the IPPS data for any country and increase the accuracy of the pollution load.
孟加拉国的工业污染对人类健康、经济活动和环境构成了严重威胁。通过强调产生主要污染物的工业，可以对减轻污染措施进行重大改进。在主要污染数据不易获得的国家，可以利用工业污染预测系统（IPPS）利用工业总产出或就业数据来计算污染负荷。之前的报告研究中，未经任何标准化处理，就直接将为美国等发达国家设计的 IPPS 数据用于其他国家。本研究的主要目的是通过为特定国家纳入特定的修正因子来修改当前的 IPPS 方法，以适用于任何其他国家。在本研究中，考虑到该国主要的污染工业，确定了孟加拉国的特定修正因子，并用于估算 2020 年的污染情况。还通过比较使用总产出和员工人数获得的数据来评估特定污染强度的准确性。根据这项研究，空气污染最严重的三个行业是结构性粘土制品、水泥石灰石膏行业和钢铁工业。同样，对于水污染，食品工业、造纸和纸制品工业以及纺织工业是最大的污染贡献者。还制定了空气和水污染方面的详细污染负荷矩阵，并可用于预测孟加拉国工业污染的短期和长期情景，最终将有助于决策者采取适当的污染管理方法。此外，本研究中开发的方法将有助于调整任何国家的 IPPS 数据并提高污染负荷的准确性。
