Monitoring of cotton dust and health risk assessment in small-scale weaving industry

The present study describes the estimation of particulate matter (cotton dust) with different sizes, i.e., PM(1.0), PM(2.5), PM(4.0), and PM(10.0 μm) in small-scale weaving industry (power looms) situated in district Hafizabad, Punjab, Pakistan, and the assessment of health problems of workers associated with these pollutants. A significant difference was found in PM(1.0), PM(2.5), PM(4.0), and PM(10.0) with reference to nine different sampling stations with p values <0.05. Multiple comparisons of particulate matter with respect to size, i.e. PM(1.0), PM(2.5), PM(4.0), and PM(10.0), depict that PM(1.0) differs significantly from PM(2.5), PM(4.0), and PM(10.0), with p values <0.05 and that PM(2.5) differs significantly from PM(1.0) and PM(10.0), with p values <0.05, whereas PM(2.5) differs non-significantly from PM(4.0), with a p value >0.05 in defined sampling stations on an average basis. Majority of the workers were facing several diseases due to interaction with particulate matter (cotton dust) during working hours. Flue, cough, eye, and skin infections were the most common diseases among workers caused by particulate matter (cotton dust).     

Impact of economic capabilities and population agglomeration on PM2.5 emission: empirical evidence from sub-Saharan African countries

Environmental Science and Pollution Research - The utilization of economic capabilities to raise production in the economy enhances the industrial activities and use of transportation. These...     

Evaluation of kinetics and mechanism properties of CO2 adsorption onto the palm kernel shell activated carbon

Environmental Science and Pollution Research - The volumetric adsorption kinetics of carbon dioxide (CO2) onto the synthesized palm kernel shell activated carbon via single-stage CO2 activation and...     

Environmental quality,forestation, and health expenditure: a cross-country evidence

Environment, Development and Sustainability - The study probes the relationship between health expenditures, forestation, and environmental quality using panel data of 87 countries, through...     

Tumor necrosis factor-alpha,prostaglandin-E2 and interleukin-1β targeted anti-arthritic potential of fluvoxamine: drug repurposing

Environmental Science and Pollution Research - Fluvoxamine, a selective serotonin re uptake inhibitor, is used to treat depression. The aim of present study was to evaluate fluvoxamine in acute...     

Biomass energy consumption and sustainable development: empirical evidence from Asian economies

Environmental Science and Pollution Research - Biomass energy is an important source of energy consumption. It is a renewable, abundant, and easily produced energy source. Its usage supports...     

Photocatalytic demulsification of oil/water emulsions containing nonionic surfactant

Environmental Science and Pollution Research - Separation of oil-water (OW) emulsions is investigated using a photocatalytic demulsification approach. Experiments were conducted using two types of...     

Wind speed pattern data and wind energy potential in Pakistan: current status,challenging platforms and innovative prospects

Environmental Science and Pollution Research - Energy is an essential parameter for the economic growth and sustainable development of any country. Due to the rapid increase in energy demand,...     

Industrialization,Freight Transport and Environmental Quality: Evidence from Belt and Road Initiative Economies

Environmental Science and Pollution Research - Belt and Road initiative has been proposed by China to initiate the cooperation among relevant countries in sector of energy and Trade. The...     

Modeling the non-linear relationship between financial development and energy consumption: statistical experience from OECD countries

The linkage between financial development and energy consumption is widely investigated in the literature. However, the non-linear relationship between financial development and energy demand is still under debate. Therefore, this study aims to examine the non-linear relationship between financial development, economic growth, and energy consumption in OECD countries. The study uses the Driscoll–Kraay standard errors panel regression model for spanning from 1980 to 2016. The empirical findings indicate that an inverted U-shape relationship exists between financial development and energy consumption as well as between economic growth and energy consumption. Moreover, the feedback hypothesis is found between financial development and energy use. Additionally, income and energy use granger cause each other. The innovative findings contribute to extant literature, which is of special interest to the country’s policymakers regarding energy efficiency.