Polluting Rays Strike Out

26-30We are generally concerned about what we can feel and observe—photochemical smog, hazardous substances, industrial effluents, polluted water bodies, ruthless deforestation, dirty solid wastes and unhygienic bio-medical wastes. But we are more intimately and persistently affected by invisible electromagnetic rays. Electromagnetic fields have always been part of the earth's environment. The pressure and temperature of the core of the interior of the earth are assumed to be over three million atmospheres and around 6000oC respectively, and the ionosphere is an electrically charged layer of the atmosphere. Thus resonances occur between the earth's molten iron-nickel core and the charged gases of the ionosphere. These pulses at definite frequencies (between 0.1 and 25Hz; mostly at about 10Hz), act as regulators for the biological time clocks of all living creatures. If man, or any animal or plant is totally shielded from these fields for any length of time, the result is discomfort and even death. It has recently been shown that even each cell division is timed according to these pulses. However, anything too much is bad for us

Coalmine dust concentration and rate of tuberculosis infection around Ib Valley Coalfield, Orissa, India

Abstract: The miners as well as the inhabitants vicinity to the mining areas are generally susceptible to the respiratory disorders due to constant exposure to the coalmine dust for a prolonged period. In this paper, the dust concentration and dust dose associated with the rate of tuberculosis around the major part of Ib Valley Coalfield (Belpahar and Brajarajnagar area) have been analysed. Several field trips around Ib Valley Coalfield have been conducted for consecutively three years (2005, 2006 and 2007) to evaluate the present status of the dust concentration and rate of tuberculosis infection. It was observed that the dust concentrations of different residential places as well as the places vicinity to the opencast mining projects have been increased in the subsequent years of investigation. As a result, the dust doses of various residential places have also increased in a parallel manner. The dust doses of various mining sites range from 25.51 to 37

Impact of Noise Pollution during Covid-19: A Case Study of Balasore, Odisha

Activities such as development of industrialisation, urbanisation is a part of our life in the present scenario. During this phase we face a lot of health issues due to noise pollution. Growing of vehicle traffic is one of the major causes towards noise pollution and it affects significantly on the environment. The impact of such pollution had been assessed in 20 major squares (Commercial, residential and silence area) of the Balasore town during and after lockdown imposition of Covid-19. During lockdown period, the noise level of the town was within the permissible limit set by CPCB while before and after lockdown period it was beyond the permissible limit. The demographics and psychophysiological (annoyance, sleeping problem, tiredness, headache, and depression) responses of the participants were collected using standard questionnaires. It was also observed that there were better health conditions among the public (150 participated in the questionnaire) during the lockdown period, then before and after the lockdown phase. It was revealed that socio-demographic factors have no effects on the annoyance level

Adaptive noise risk modelling: fuzzy logic approach

Recently, noise pollution has taken place as one of the most human health disorders. The main sources of noise are coming from human malpractices on reckless car driving and the use of loud speakers in different festivals at different places. Behavioural study explores that in many places the local usual road traffic noise level exceeds the normal standards. However, few people have adaptive capacity to ignore the effect of ambient noise pollution within considerable limits. Thus, in this article, we have developed an adaptive traffic noise model over the vulnerable society of a specific noise-prone zone. We develop a fuzzy logic to analyse the noise risk, and then it has been compared by the odds ratio of the experimental data. Moreover, we have considered the normality and non-normality in participation for various noise parameters, namely noise level, exposure time and affected age group of the people of a particular place as well. Finally, graphical illustrations are made for global justification of the model