The water resources are the main component of technological processes occurring in industry; therefore, increasing the level of environmental safety, in particular, wastewater treatment without adverse impact on the environment and human health is relevant. The preliminary environmental analysis of the motor transport enterprise (MTE) activity has been carried out. It has been established that about twenty environmental aspects identified in the departments of technical inspection and repair and service have an adverse impact on the state of the environment. A substantial impact on the environment occurs when the sewage containing petroleum products, washing liquids, waste lubricants and contaminated by the products of tissue origin enters the soil and water objects and their resources. On the basis of the preliminary analysis, the authors have identified the environmental aspects of the company’s activity and proposed an environmental policy as an essential element for the implementation of the environmental management system. The studies conducted with the aim of determining the motor transport enterprise sewage composition revealed an excessive content of polluting chemical substances, namely: suspended substances, phosphates, iron, fats, oil products and synthetic detergents. The expediency of using carbonaceous sorbents of vegetable origin, which were obtained from the waste wood industry for wastewater treatment of the enterprise, was investigated. It was revealed that the process of sorption purification improved the quality of wastewater of the motor transport enterprise to the standard values. The proposed recommendations for the implementation of the environmental management system will gradually reduce the impact of the company on the main components of the biosphere. Effective implementation of the environmental management system will help to increase the competitiveness of the enterprise and lead to an economic effect by saving raw materials, materials, energy resources, reducing the environmental fees and penalties.
In modern conditions of urban development, there is a need to improve the technology for determining the investment attractiveness of urban lands by developing a method and models for assessing its impact, which will be based on the construction of a two-level system of indicators, which will determine the integral investment criterion and develop guidelines for improving the investment attractiveness of urban lands. As a result of the research, the value of the integral indicator of urban land investment attractiveness was determined, which allowed to apply it in the system of normative monetary valuation of urban land and to develop methodological recommendations for improving the efficiency of its investment attractiveness assessment. A method for assessing the investment attractiveness of urban land, as the main element of technology, based on the determination of indicators for assessing the integral criterion for the development of guidelines for improving the urban land investment attractiveness is developed. By the value of the integral criterion, the integral indicators of the potential investment attractiveness of urban lands are determined, considering the changes in the normative monetary value of the lands of settlements and the level of investment attractiveness of the regional centers of Ukraine is determined.
With the development of urbanization and expansion of urban land use, the need to up to date maps, has drawn the attention of the urban planners. With the advancement of the remote sensing technology and accessibility to images with high resolution powers, the classification of these land uses could be executed in different ways. In the current research, different algorithms for classifying the pixel-based were tested on the land use of the city of Urmia, using the multi spectral images of the IKONOS satellite. Here, in this method, the algorithms of the supervised classification of the maximum likelihood, minimum distance to mean and parallel piped were executed on seven land use classes. Results obtained using the error matrix indicated that the algorithm for classifying the maximum likelihood has an overall accuracy of 88/93 % and the Kappa coefficient of 0/86 while for the algorithms of minimum distance to mean and parallel piped , the overall accuracy are 05/79 % and 40/70 % respectively. Also, the accuracy of the producer and that of the user in most land use classes in the method of maximum likelihood are higher compared to the other algorithms.
Land management constitutes an integral component of planned spatial management that binds it with the entity, which is responsible for land management, charging it with particular obligations, including those specified in the Surveying and Mapping Law of 17 May 1989. The Law entails such issues as the national land information system, land and building registry (property cadastre), state survey and mapping resources and the infrastructure inventory. According to the Law, data included in the land and building registry constitute a basis for business planning and spatial planning, as well as of public statistics, taxation and benefits, with proper marking of properties in the Land Registers. Data included in the Land and Building Registers and Infrastructure Registers, together with other data collected in the state survey and mapping resources, constitute a basis for the national land information system. The requirements of a good subjective and objective land division are met by the classification implemented by the Regulation of the Minister of Regional Development and Building of 29 March 2001 Concerning Land and Building Registry. The capability to use resources allocated by the European Union will be of fundamental importance for the development of Poland in 2007-2013. That capability will depend on the practical application of institutional instruments and solutions. Therefore, it is necessary to recommend to the Polish communes the databases, as well as land and property information, which are essential for land management, including the metadata databases on the existing and projected Spatial Databases and Geographic Information Systems (GIS) maintained by the initiative of the Chief National Surveyor.
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