Оценка нарушенных зон угленосной толщи

Наведено результати аналізу порушених зон, виділених у вугільних пластах Павлоградсько-Петропавлівського і Донецько-Макіївського геолого-промислових районів Донбасу, на основі визначення кількості тектонічних блоків порід, їх розмірів і розрахунку їх коефіцієнтів форми.The results of analysis of the dislocated zone, selected in coal layers of Pavlogradsko- Petropavlovskiy and Donetzko-Makeevskiy geological-industrial districts of Donbas on the basis of determining the percentage of tectonic blocks of rocks, their sizes and calculation of their coefficients of form are presented in the article

Electromagnetic-field quantization and spontaneous decay in left-handed media

We present a quantization scheme for the electromagnetic field interacting with atomic systems in the presence of dispersing and absorbing magnetodielectric media, including left-handed material having negative real part of the refractive index. The theory is applied to the spontaneous decay of a two-level atom at the center of a spherical free-space cavity surrounded by magnetodielectric matter of overlapping band-gap zones. Results for both big and small cavities are presented, and the problem of local-field corrections within the real-cavity model is addressed.Comment: 15 pages, 5 figures, RevTe

Self-help interventions for anxiety disorders: An overview.

Anxiety disorders are highly prevalent and are associated with a marked impairment in quality of life and a huge economic cost to society. Unfortunately, a considerable number of people who struggle with anxiety do not seek or receive adequate treatment. Self-help interventions have been proposed to constitute a relatively cheap, effective, efficient, and low-threshold intervention for anxiety disorders. This paper offers a critical discussion of their advantages and disadvantages and the evidence for their effectiveness. We conclude that guided self-help can play a major role in mental health care for patients with anxiety disorders. However, several research questions need to be answered before broad-scale dissemination is possible. The Internet will continue to play a prominent role in the further development of this field of research and clinical practice

Hydrological now- and forecasting : Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models

Keywords: hydrology, models, soil moisture, rainfall, radar, rain gauge, remote sensing, evapotranspiration, forecasting, numerical weather prediction, Netherlands, Langbroekerwetering, Lopikerwaard. Computer simulation models are an important tool for hydrologists. With these models they can predict how rainfall is distributed over the different hydrological variables (discharge, soil moisture and groundwater). This way they can retrieve spatially distributed information that is important for water management, like when to start or stop irrigation gifts or how much water potentially can be stored in a catchment. The spatial resolution of these models has increased considerably the last 30 years as a result of increased computer capacity and development of GIS. At the same time, information based on remote sensing techniques has become more easily available and its quality improved. These remote sensing data (for example rainfall radar and evapotranspiration images based on satellite data) can be used as input and validation sources for the hydrological models. Besides, meteorologists developed numerical weather prediction models, which outcomes (e.g. rainfall forecasts) can be used by hydrologist in order to make hydrological forecasts of for example groundwater level or soil moisture availability. However, in practice these data are not commonly used due to outstanding questions which formed the research questions of this thesis: 1. Does the accuracy of the hydrological models improve when using rainfall radar data and satellite based evapotranspiration fields? 2. Is it feasible to accurately predict the spatial distribution of soil moisture by using rainfall forecasts of numerical weather prediction model as input for a hydrological model? To answer these questions we set up a coherent framework to integrate hydrometeorological variables into spatially-distributed models: the Hydrological Now and Forecasting System (HNFS). The main conclusions of this research are that it is important to take into account the spatial distribution of rainfall in order to get insight in the day-to-day variability of the hydrological system. Using rainfall radar together with rain gauges generates better rainfall fields than using rain gauges only. Besides, information about spatial patterns of satellite based evapotranspiration helps to detect potential model errors. Finally, we found that the accumulated rainfall in our study period (March-Nov 2006) was forecasted very well. However, the spatial variation shown by measured rainfall is not taken into account by rainfall forecasts (due to the lower spatial resolution of numerical weather prediction models). This leads to a spatial bias of forecasted hydrological variables that resembles the spatial pattern in total rainfall within the study area. This study has shown how remotely sensed and forecasted hydrometeorological variables can be integrated into distributed hydrological models. As this study is based on real data, it has shown the potentials and limitations of applying a system like the HNFS in practice. Finally, considerations about future implementation of this system are given