Classification of hazardous substances and mixtures

One of the distinctive features of today is the presence in our life of substances, by-products that pose a hazard to human health, a threat to the environment, but without which the production process of other goods is impossible and we cannot imagine our existence, that is, electrical energy generation by the use of nuclear fuel, mineral fertilizers, various kinds of substances in the chemical industry from conditionally hazardous to very hazardous. All of these substances need to be transported from production site to the place of use. Therefore, the question arises, i.e., if these dangerous substances are necessary for production of other very necessary and useful goods, how to protect those people who can suffer during their manufacture, transportation and use. It turns out that the answer is almost on the surface. Generating of hazardous substance primarily raises the need to develop measures for protection against their impact, or at least minimize it. This paper analyses the issues of prevention and minimization of the dangerous substances effect on the people, environment while transporting by analyzing classes, sub-classes, categories of dangerous substances categories. The classification of dangerous substances, labels designs, guidance on their application and use are given. Rules and obligations of dangerous cargoes transportation entities are specified. Key words: hazardous substances, classification of hazardous substances, hazard warning signs, methods and means of application, marking rules.

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Schematic Classification Model of Green Computing Approaches

Journal of Cases on Information Technology ◽

10.4018/jcit.2015070102 ◽

2015 ◽

Vol 17 (3) ◽

pp. 14-21

Author(s):

Nishtha Kesswani ◽

Shelendra Kumar Jain

Keyword(s):

Electronic Device ◽

Negative Impact ◽

Carbon Dioxide Emission ◽

Green Computing ◽

Classification Model ◽

Hazardous Substances ◽

Energy And Environment ◽

Moral Duties ◽

Save Energy

Every electronic device has an impact on the environment, and computing devices are not an exception. Green computing is a highly motivated smart computing which tries to save energy and environment by minimizing harmful impacts of computing resource's production and their uses. As the 21st Century is known for Information Technology Revolution, major negative impact of computing resources on environment are day by days increasing contribution to carbon dioxide emission, hazardous substances, e-Waste and high consumption of energy. Nowadays Global Warming is a big issue which is responsible for climate changes. And according to many available facts computing resources are highly affecting it directly and indirectly. So the world's moral duties motivate it to save earth and environment from these harmful impacts, whose outcome is Green Computing. This paper focus on classification of various existing approaches which are used for Green Computing. This classification enhances researcher's concentration on particular classified category for their future contribution so that Green Computing's main aims can be fulfilled.

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INTEGRATED MELIORATION MEASURES ON RESTORATION OF POLLUTED AND DEGRADED SOILS FERTILITY

Proceedings of the 7th International Scientific Conference Rural Development 2015 ◽

10.15544/rd.2015.044 ◽

2015 ◽

Author(s):

Yuri MAZHAYSKY ◽

Tatyana GUSEVA ◽

Otilija MISECKAITĖ

Keyword(s):

Sandy Loam ◽

Reproductive Organs ◽

Black Soil ◽

Average Concentration ◽

Agricultural Landscapes ◽

Hazardous Substances ◽

Mineral Fertilizers ◽

Loam Soil ◽

Plant Emissions

In case of significant technogenic geochemical loads on agricultural landscapes, the issue of ecological forecasting of environmental management is particularly important. Scientific studies of this issue are aimed at establishing the critical values for the components of the ecosystem, the classification of technogenic sources of hazardous substances, levels of soil contamination. This study presents a research to determine the content of heavy metals in the soils of the Ryazan region (Russia) and analyzed the level of their pollution. In the experiments organic, organomineral and mineral fertilizers systems were studied. From 2002 to 2008 were conducted lysimetric experiments on detoxification of elevated pollution of sod-podzol sandy loam soil, and from 2006 to 2008 of podzolized black soil. The participation of the non-ferrous metals plant emissions was detected in the pollution of sod-podzol light in granulometric composition soils with copper of up to 80 mg·kg-1, when the average concentration of Cu in the soil was 38.8 ±6 mg·kg-1. Humification plays a significant role in the formation of soil, its most important properties and characteristics. The saturation of 1 hectare of sown area with organic was slightly different in the experiments, but the intensity of accumulation of humus from the various agrochemical means did not almost differ. The problem of adaptation of plants in the conditions of technogenic environment is of primary importance. Plants have three biobarera against the admission of toxicants, these are the soil – the root – the stem – the reproductive organs. Grain in contaminated soil is environmentally hazardous as the content of Pb is indicated at the level of 0.68, 1.17 mg·kg-1 (MPC 0.5), Cd – 0.27, 0.11 mg·kg-1 (MPC 0.1), Zn – 76 mg·kg-1 (50 MPC). Use of fertilizing systems had a mostly positive effect, but products do not always become environmentally friendly.

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Classification of hazardous substances and mixtures

Globally Harmonized System of Classification and Labelling of Chemicals (GHS) ◽

10.18356/42bf352e-en ◽

2017 ◽

pp. 17-21

Keyword(s):

Hazardous Substances

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Standoff detection and classification of bacteria by multispectral laser-induced fluorescence

Advanced Optical Technologies ◽

10.1515/aot-2016-0066 ◽

2017 ◽

Vol 6 (2) ◽

Cited By ~ 3

Author(s):

Frank Duschek ◽

Lea Fellner ◽

Florian Gebert ◽

Karin Grünewald ◽

Anja Köhntopp ◽

...

Keyword(s):

High Risk ◽

Correlation Analysis ◽

Pathogenic Bacteria ◽

Laser Induced Fluorescence ◽

Hazardous Substances ◽

Spectral Classification ◽

Fast Detection ◽

Standoff Detection ◽

The Impact

AbstractBiological hazardous substances such as certain fungi and bacteria represent a high risk for the broad public if fallen into wrong hands. Incidents based on bio-agents are commonly considered to have unpredictable and complex consequences for first responders and people. The impact of such an event can be minimized by an early and fast detection of hazards. The presented approach is based on optical standoff detection applying laser-induced fluorescence (LIF) on bacteria. The LIF bio-detector has been designed for outdoor operation at standoff distances from 20 m up to more than 100 m. The detector acquires LIF spectral data for two different excitation wavelengths (280 and 355 nm) which can be used to classify suspicious samples. A correlation analysis and spectral classification by a decision tree is used to discriminate between the measured samples. In order to demonstrate the capabilities of the system, suspensions of the low-risk and non-pathogenic bacteria

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