Ananna Rahman

Bio: Ananna Rahman is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Pollen & Natural gas field. The author has an hindex of 6, co-authored 12 publications receiving 117 citations. Previous affiliations of Ananna Rahman include Jessore University of Science & Technology.

Heavy Metals Contamination Assessment of Water and Soils in and Around Barapukuria Coal Mine Area, Bangladesh

Abstract: In order to evaluate the heavy metals contamination of groundwater in Barapukuria Coal Mine (BCM) area and its vicinity, nine groundwater samples from different location, two waste water either treated and/or untreated that were used to irrigate in and around the coal mine areas, three surficial soil samples (~20cm depth) and a coal dust sample were collected during March, 2015. The samples were analyzed by inductively coupled plasma mass spectrometry (ICP–MS). Each sample was analyzed for As, Mn, Fetotal, Cu, Pb, Zn, Mo, Ni, Co, Cr, Cd and Hg. It was found that As, Cu, Pb, Zn, Mo, Co, Cr, Cd and Hg did not exhibit significant elevated levels, but concentration of Mn, Fetotal and Ni ranging from 0.15 to 3.85mg/L, 0 to 1.88mg/L and 0.01 to 0.09mg/L respectively both in groundwater and mine waste water samples exceeded the World Health Organization (WHO, 2004) drinking water guideline values of 0.4mg/L of Mn, 0.3 mg/L of Fe and of 0.02mg/L of Ni. Similarly the mean heavy metal concentrations in soils were below the Bangladesh standards for all heavy metals but the maximum values of Co (137.25 to 245.24mg/kg), Cr (139.02 to 243.38mg/kg) and Hg (0 to 24.28mg/kg) also exceeded the maximum acceptable limit of Food and Agricultural Organization (FAO, 1992) (Co of 50mg/kg, Cr of 100mg/kg) and Environment Agency (EA, 2009) (Hg of 1mg/kg) guideline standard. However, the coal dust was not above the guideline recommended limit for any elements. Therefore, this study reveals that the use of treated and/or untreated coal mine waste water for irrigation has increased the risk of heavy metals contamination in groundwater and causing potential health hazards in the long time term.

Anthropogenic effect on heavy metal contents in surface sediments of the Bengal Basin river system, Bangladesh

Abstract: Heavy metals (Sc, Cr, Co, Ni, Cu, Ga, Ge, Nb, Mo, Cd, In, Hf, Ta, W, Tl, Pb, Bi, Th, and U) in the surface sediments of the Ganges-Brahmaputra-Meghna (GBM) river system of the Bengal Basin (BB) were measured to evaluate the heavy metal contamination and anthropogenic influence. The average concentration levels of most of the heavy metals (except Mo and Tl) were above the average crustal and shale values. Contamination indices, including the contamination factor, pollution load index, enrichment factor, and geo-accumulation index, and multivariate statistical analyses indicated that the GBM is slightly polluted by heavy metals with some considerable pollution from Bi, Th, Ta, Cd, Nb, Pb, In, and U. Among the four individual rivers, the Brahmaputra River and Ganges-Brahmaputra (GB) confluence river sediments contain higher heavy metal concentrations than do the Ganges and Meghna Rivers, which may be caused by the effects of local municipal discharge, industrial or urban wastes, and ferry crossing activities.

Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak

Abstract: Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM2.5 changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM2.5. Compared with the case without emission change (Case 1), Case 3 predicted that PM2.5 concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m3 in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM2.5 greater than 75 μg/m3, the reductions of PM2.5 in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m3 in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM2.5 precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution.

Genetic algorithms as a method for variable selection in multiple linear regression and partial leas

Abstract: Abstract Four optimising methods for variable selection in multivariate calibration have been described: one for determining the optimal subset of variables to give the best possible root-mean-square error of prediction (RMSEP) in a multiple linear regression (MLR) model, the second for determining the optimal subset of variables which produce a model with RMSEP less than or equal to a given value. Algorithms three and four were identical to algorithms one and two, respectively, except that this time they use a cost function derived from a partial least squares (PLS) model rather than an MLR model. Applied to a typical set of pyrolysis mass spectrometry data the first variable selection method is shown to reduce the RMSEP of the optimal MLR or PLS model significantly when the number of variables is decreased by approximately half. Alternatively, the number of variables may be reduced substantially (> 10-fold) with no loss in RMSEP.

Air pollution and health

Abstract: The effects of air pollution on health have been generating attention for years. A large number of pulmonologists have recently expressed concerns about this in an open letter to Dutch Members of Parliament. Air pollution arises mainly in all kinds of combustion processes; in addition, atmospheric chemical reactions play a role in the formation of ozone and particulate matter. Health effects are both acute (increase in daily mortality and morbidity after days with increased concentrations of air pollution) as well as chronic (shortened life span and increased incidence of respiratory and cardiovascular diseases in areas with elevated concentrations of air pollution). These effects already occur at concentrations that are clearly lower than those currently observed in the Netherlands.