Tasra coal washery has been planned in Tasra block which is located in Jharia coalfield of Jharkhand state in India. In order to predict air pollution impact because of the proposed washery, modelling has been done using fugitive dust model. Dust levels (PM₁₀ and PM_2.5) have been assessed both for conditions of controlled and uncontrolled emissions from various sources of the washery. Baseline site specific air quality data (PM₁₀ and PM_2.5) of winter season and maximum coal washing capacity of 700 t h⁻¹ have been considered for prediction of air quality in case of worst-case scenario. Based on modelling exercise, it has been predicted that PM₁₀ concentration may increase from 0.058–51.333 and 0.039–17.485 μg m⁻³ under the conditions of uncontrolled and controlled emissions respectively at the air quality monitoring sites and the selected receptor locations in the nearby vicinity of the proposed washery. Similarly, PM_2.5 concentrations may rise from 0.044–16.636 and 0.022–7.219 μg m⁻³ due to the uncontrolled and controlled emissions respectively. In order to minimize the fugitive dust levels from the washery site, installation of dry fog dust suppression system has been recommended at different dust generating sources in addition to implementation of other dust control measures in and around the coal washery.

Tasra洗煤厂已计划在位于印度Jharkhand州Jharia煤田的Tasra区块中进行。为了预测由于拟建的洗手间而对空气污染的影响，已使用逃生性粉尘模型进行了建模。评估了尘埃水平（PM ₁₀和PM _2.5）的水平，以了解来自洗手间各种来源的受控和不受控排放条件。在最坏情况下，已经考虑了冬季的基准站点特定空气质量数据（PM ₁₀和PM _2.5）以及最大洗煤能力700 t h ^-1，以预测空气质量。根据建模练习，已预测PM ₁₀在拟建的洗手间附近的空气质量监测点和选定的接收器位置，在不受控制和受控排放的条件下，浓度可能分别从0.058–51.333和0.039–17.485μgm ^-3增加。同样，由于不受控制的排放和受控制的排放，PM _2.5的浓度可能分别从0.044-16.636和0.022-7.219μgm ^-3升高。为了最大程度地减少选煤厂现场的扬尘水平，除了在选煤厂内和周围实施其他粉尘控制措施外，还建议在不同的粉尘产生源处安装干雾抑尘系统。