Enumeration of Legionella pneumophila in cooling tower water systems

Legionella pneumophila, the causative agent of Legionnaires disease, is known to colonise and frequently grow in cooling tower waters. Disease is acquired by inhaling aerosol contaminated by legionellae. Determination of the count of Legionella pneumophila in cooling tower waters may, therefore, be useful for risk assessment. In our survey, 103 water samples from 50 cooling towers were examined over a five-year period to indicate the seasonal distribution and the ecology of L. pneumophila, as regards temperature and pH. L. pneumophila serogroup 1 was found in 44% of the isolated strains, which is primarily responsible for the majority of Legionnaires disease. The large majority of examined towers had levels of L. pneumophila in the high-risk category. These cooling towers have been linked to many outbreaks of Legionnaires disease.     

Evaluation of the adsorption potential of titanium dioxide nanoparticles for arsenic removal

The adsorption potential of titanium dioxide (TiO2) nanoparticles for removing arsenic from drinking water was evaluated. Pure and iron-doped TiO2 particles are synthesized via sol-gel method. The synthesized TiO2 nanoparticles were then immobilized on ordinary sand for adsorption studies. Adsorption isotherms were conducted on the synthesized nanoparticles as well as the sand coated with TiO2 nanoparticles under varying conditions of air and light, namely, the air-sunlight (A-SL), air-light (AL), air-dark (AD) and nitrogen-dark (ND). X-Ray diffraction (XRD) analysis showed that the pure and the iron-doped TiO2 nanoparticles were in 100% anatase crystalline phase with crystal sizes of 108 and 65 nm, respectively.Adsorption of arsenic on the three adsorbents was non-linear that could be described by the Freundlich and Langmuir adsorption models. Iron doping enhanced the adsorption capacity of TiO2 nanoparticle by arresting its grain growth and making it visible light responsive resulting in a higher affinity for arsenic. Similarly, the arsenic removal by adsorption on the sand coated with TiO2 nanoparticles was the highest among the three types of sand used. In all cases, As(V) adsorbed more compared with As(III). Solution pH appeared to be the most important factor in controlling the amount of arsenic adsorbed.     

Health care system hazard vulnerability analysis: an assessment of all public hospitals in Abu Dhabi

Hazard vulnerability analysis (HVA) is used to risk‐stratify potential threats, measure the probability of those threats, and guide disaster preparedness. The primary objective of this project was to analyse the level of disaster preparedness in public hospitals in the Emirate of Abu Dhabi, utilising the HVA tool in collaboration with the Disaster Medicine Section at Harvard Medical School. The secondary objective was to review each facility's disaster plan and make recommendations based on the HVA findings. Based on the review, this article makes eight observations, including on the need for more accurate data; better hazard assessment capabilities; enhanced decontamination capacities; and the development of hospital‐specific emergency management programmes, a hospital incident command system, and a centralised, dedicated regional disaster coordination centre. With this project, HVAs were conducted successfully for the first time in health care facilities in Abu Dhabi. This study thus serves as another successful example of multidisciplinary emergency preparedness processes.     

Modeling factors of biogas technology adoption: a roadmap towards environmental sustainability and green revolution

Environmental Science and Pollution Research - In a developing country such as Pakistan, adopting biogas technology is a complicated process. The government has taken several steps to address...     

Industrial applications of natural fibre-reinforced polymer composites – challenges and opportunities

The growing industrial demand for sustainable materials has led to a paradigm shift in the focus from synthetic polymers towards natural fibres. This paper deals with the challenges and opportunities associated with the use of natural fibre-reinforced polymer composites in various industrial applications. Natural fibres being biodegradable, light in weight, cost-effective and environment friendly are good candidate materials for modern industrial applications. Use of natural fibres in various industries with a focus on automotive and furniture industry has been discussed. The commonly used natural fibres in polymer composites including jute, hemp, sisal, kenaf, bamboo, cotton, flax, abaca, coir etc. have been dealt with in this paper. The literature revealed that tensile strength and other mechanical properties of these fibres are comparable to synthetic fibres like glass or carbon fibres. However, the temperature stability of polymers limits their extensive use and remains an issue to be addressed.     

Sustainability of winter tourism in a changing climate over Kashmir Himalaya

Mountain areas are sensitive to climate change. Implications of climate change can be seen in less snow, receding glaciers, increasing temperatures, and decreasing precipitation. Climate change is also a severe threat to snow-related winter sports such as skiing, snowboarding, and cross-country skiing. The change in climate will put further pressure on the sensitive environment of high mountains. Therefore, in this study, an attempt has been made to know the impact of climate change on the snow precipitation, water resources, and winter tourism in the two famous tourist resorts of the Kashmir Valley. Our findings show that winters are getting prolonged with little snow falls on account of climate change. The average minimum and maximum temperatures are showing statistically significant increasing trends for winter months. The precipitation is showing decreasing trends in both the regions. A considerable area in these regions remains under the snow and glacier cover throughout the year especially during the winter and spring seasons. However, time series analysis of LandSat MODIS images using Normalized Difference Snow Index shows a decreasing trend in snow cover in both the regions from past few years. Similarly, the stream discharge, comprising predominantly of snow- and glacier-melt, is showing a statistically significant declining trend despite the melting of these glaciers. The predicted futuristic trends of temperature from Predicting Regional Climates for Impact Studies regional climate model are showing an increase which may enhance snow-melting in the near future posing a serious threat to the sustainability of winter tourism in the region. Hence, it becomes essential to monitor the changes in temperature and snow cover depletion in these basins in order to evaluate their effect on the winter tourism and water resources in the region.     

The dynamic links among energy consumption,tourism growth,and the ecological footprint: the role of environmental quality in 38 IEA countries

Environmental Science and Pollution Research - We examine the impact of energy consumption and tourism growth on the ecological footprints and economic growth of 38 International Energy Agency...     

Mathematical modeling of sustainable development goals of India agenda 2030: a Neutrosophic programming approach

Environment, Development and Sustainability - Since 2015, the United Nations sustainable development goals (SDGs) agenda 2030 has been designed with 17 goals, 169 targets, and 232 unique indicators...     

Effect of high sulfate concentration on the corrosivity: a case study from groundwater in Harran Plain, Turkey

Corrosion, which tends to increase the concentrations of certain metals in tap water, is one of the most important water quality problems as it can affect public health and public acceptance of water supply and the cost of providing safe water. In this context, this study aimed at investigating the scale formation tendency or corrosivity of groundwater in the semi-arid Harran Plain. The degree of scale formation tendency/corrosivity of water was determined considering pHs, Langelier Index, and Ryznar Index of groundwater samples. Except for well no.4, which is close to a local hot spring, all the wells had corrosive characteristics. The amount of CO₂ from the soil zone respiration and high sulfate concentration in the wells are important factors affecting corrosiveness. Results showed that precipitation, excessive irrigation, and change in groundwater level caused seasonal variation in corrosive characteristics.