In this paper, relativistic Cherenkov radiation was studied in a 3-D magneto-dielectric medium. Electric permittivity and magnetic permeability of the medium as functions of frequency, are assumed to satisfy Kramers- Kronig equations. A new interaction Hamiltonian, which is different from Hamiltonian term in non-relativistic state, was introduced by the quantized vector potential field and particle field operator obtained from the second quantization method. The rate of electron energy dissipation was calculated using Fermi’s golden rule.

In this paper, the production mechanisms and the spectral-angular distribution of X-ray Cherenkov radiation (XCR) was investigated in detail and some unique properties of XCR and its applications were discussed. It is shown that, in the vicinity of the atomic absorption edges, the real and the imaginary parts of the refractive index are varied drastically and for some materials the refractive index exceed unity and Cherenkov radiation can be generated in soft X-ray regions with a narrow band width. By selecting suitable Cherenkov emitters and using laboratory-sized electron accelerators, in the optimal conditions, the brightness of the soft X-ray source was calculated and compared to other soft X-ray sources. On the basis of these investigations, some unique properties of XCR such as, narrow band width and high brightness make XCR as a novel soft X-ray source for applications in soft X-ray microscopy, photoelectron spectroscopy and other research areas.

Cherenkov radiation is generated when relativistic charged particles move in a medium with refractive index larger than unity. Although, the refractive index is generally smaller than unity in X-ray region, in the vicinity of atomic absorption edges, the refractive index may exceed unity and Cherenkov radiation can be generated in soft X-ray region with a narrow band width. In this paper, the spectral-angular distribution of X-ray Cherenkov Radiation (XCR) and its properties are analyzed. It is shown that, by using electron accelerators which can produce 10 MeV electrons, with average current density 20 mA/mm2, and choosing different µ m-thick foils, one can produce soft X-ray Cherenkov radiation source with intensity about 10-4 ph/el, and X-ray photon energy from 50 eV up to 1 keV. Some unique properties of XCR, such as narrow band width and high brightness, make XCR a novel soft X-ray source for applications in soft X-ray microscopy, photoelectron spectroscopy, analysis of trace elements and other research areas.

Alborz observatory is an EAS array in the heights of Alborez mountain chain near Tehran. For the development of the array, more number of detectors is inevitable. The managing the financial resources and achieving the highest efficiency of the array is important for the project. Therefore, Water Cherenkov Detectors has been used for 9 months in the same way as the previous experiment with Scintillation Detectors in a 4-fold square arrangement. After a hardware calibration procedure, the experimental data set was simulated by CORSIKA code and the experimental restrictions were applied over the data set. In this work, the simulation is calibrated with the real experimental results, and it presents a comparable parameter between the experiment and the simulation. The obtained results show that the simulation is in agreement with the experimental results.

Energetic secondary particles in gamma and hadron initiated showers can generate Cherenkov photons. Using CORSIKA code and simulation data, different characteristics of lateral distribution of Cherenkov photon density are studied. In particular, physical origin of these differences and also dependence of this distribution on primary energy and altitude of observation level are discussed. It is shown that the existence of a hump in lateral distribution of Cherenkov photon density in gamma initiated showers is a useful tool for separating gamma-hadron and rejecting hadron background in gamma ray astronomy.

In recent decades, drastic land use changes in Golestan province caused to reduce a substantial amount of Hyrcanian forest. To investigate the changes, land cover maps produced using Landsat satellite imagery classification of sensors TM from 1984, 2012 and 2016 respectively used as input data in Land Change Modeler (LCM) to predict land cover changes in 2030. In order to assess the accuracy of modeling, statistics of relative performance characteristic (ROC), ratio Hits/False Alarms and figure of merit was used. In continue to investigate the role of land use changes in Water yield as one of ecosystem services was discussed. The results show the accuracy of artificial neural network with the ROC equal to 0. 949, the ratio Hits/False Alarms equal to 57 percent and the figure of merit is equal to 11 percent. Land use change modeling results showed that from 1984 to 2012, The most prominent changes were related to reduction of forest cover. This process modeling using artificial neural network showed, from 2016 to 2030 forest cover will be reduced about 30361 hectares. The results of Water yield study showed that runoff in the area, particularly in the East and North East area has increased. This increase in the amount of runoff occurred as a result of land use change on forest ecosystems to agriculture. Results of this study improve our understanding of hydrological consequences of land-use changes, and provide needed knowledge for effectively developing and managing land-use for sustainability and productivity in the Gorgan-rood Watershed.

Water accounting frameworks apply as a tool for organizing Water data and Water resources assessment. Adopting SEEA – Water framework, the paper will go through integrated Water resource assessment in the Ajabshir study area in 2006 and 2016. The assessment was carried out based on the indicators associated to the different dimensions of Water security in the area such as Water resources, economic and social. According to the indicators of Water resources dimension, agriculture, with more than 96% of Water consumption, has the most effect on Water stress. According to the intensity of Water consumption in 2006 and 2016, the local Water resource is highly unsustainable. Per capita renewable Water increased from 835 m3 per person in 2006 to 1179 m3 per person in 1395. That is mainly due to the decrease of 17% of the population in 2016 compared to that in 2006, decrease in outflow to Lake Urmia because of the GHALEH-CHAY dam, as well as the further transbasin Water import. The marginal value changes in the economic productivity of Water in the agricultural sector indicate that the economic drivers of agricultural sector were highly dominating the growth mechanism in the area, which can result in ignoring strategic Water resources restrictions in favor of short-term individual economic gains. In spite of decline in Water consumption in the service and constant Water consumption in the industrial sectors, increase in services and industrial revenues has led to an increase in the economic productivity of Water in those sectors.