Study on the Status of SO2 in the Tehran- Iran

An air quality analysis for Tehran, the capital city of Iran, is conducted for SO2, with the measurements taken from 1995 to 2002. Measurements were taken from the seven main monitoring stations in different locations of the city. These stations are controlled by Department of Environment of Iran. As a first step; annual, seasonal and diurnal variations were studied. The yearly variation does not show any specific trend initially but in the recent years it seems there is a little upward trend. The pick of concentration of SO2 can be seen during 6-12 hour and during the winter season especially in January. The main purpose of this study is to see the effect of the meteorological parameters on the concentration of pollutant.For this purpose, the wind velocity, relative humidity, temperature, dew point, wind direction and rainfall are considered as independent variables. The relation between concentration of pollutant and meteorological parameters can be expressed by one linear regression equation. It is obvious from the equation that the wind speed, daily temperature and humidity have reverse effect on the concentration of SO2. To plan and execute air pollution control programs, one must predict the ambientair concentrations that will result from any planned set of emissions. For this purpose, a two-dimensional atmospheric diffusion model for ambient air concentration of SO2 was considered. Geostrophic winds, surface roughness, mixing height of the atmosphere, emission rate of the pollutant sources and background pollutant concentration have been taken as the input parameters. The airspace over the city to the mixing height was divided into multiple cells. Conservation of mass equationsfor each cell were solved for slightly stable and highly stable atmospheric conditions of city. The results of this equation were adjusted by the actual data (taken from monitoring stations).Then the modified dispersion equation for concentration of SO2 in Tehran has been suggested. @JASE

Thunderstorms over a tropical Indian station, Minicoy: Role of vertical wind shear

In this study, an attempt has been made to bring out the observational aspects of vertical wind shear in thunderstorms over Minicoy. Case studies of thunderstorm events have been examined to find out the effect of vertical wind shear and instability on strength and longevity of thunderstorms. Role of vertical wind shear in thunderstorms and its mechanism has been explored in this study. Results reveal that for prolonged thunderstorms high and low instability along with moderate to high vertical wind shear (moderate: 0.003 S-1 vertical wind shear 0.005 S-1 and high: > 0.005 S-1) play a significant role in longevity and strength of thunderstorms. The mechanism of vertical wind shear in thunderstorms was investigated in a few cases of thunderstorm events where the duration of thunderstorm was covered by the radiosonde/rawin ascent observation taken at Minicoy. Empirical model has been developed to classify thunderstorm type and to determine the strength and longevity of thunderstorms. Model validation has been carried out for selected cases. Model could classify thunderstorm type for most of the cases of thunderstorm events over island and coastal stations

Simulation of heavy rainfall over Mumbai on 26 july 2005 using high resolution icosahedral gridpoint model GME

In this paper an attempt has been made to simulate the exceptionally heavy rainfall event over Mumbai (Bombay) on 26 July 2005. Santa Cruz observatory near the International Airport of Mumbai recorded 944.2 mm of rainfall between 0300 UTC of 26 July 2005 and 0300 UTC of 27 July 2005 breaking all previous records. Some nearby places also recorded very heavy rainfall. Consequently, a deluge flooded the city and life in Mumbai came to a standstill. Mesoscale models or regional models are normally used to simulate such a small scale phenomenon. The model used in this paper to simulate the rainfall is the operational global numerical weather prediction model (GME) developed by the Deutscher Wetterdienst, The German Weather Service. Using European Center for Medium range Weather Forecast-ECMWF at T511 L91 data as the initial condition for the GME model, 24 hours accumulated precipitation has been computed. The model has a horizontal resolution of 40 km with 40 vertical levels and time step of 133s. The computed rainfall agrees reasonably well with the actual precipitation. The localized heavy rainfall might have occurred over Mumbai possibly due to several factors such as: well-marked low pressure over Orissa and adjoining Jharkhand with associated cyclonic circulation extending up to mid-troposheric level; off-shore trough on the west coast of India; low level jet over the peninsular India; intense convection and orographic lifting and interactions among these meteorological phenomena of different scales

Random walk with barriers: Diffusion restricted by permeable membranes

Restrictions to molecular motion by barriers (membranes) are ubiquitous in biological tissues, porous media and composite materials. A major challenge is to characterize the microstructure of a material or an organism nondestructively using a bulk transport measurement. Here we demonstrate how the long-range structural correlations introduced by permeable membranes give rise to distinct features of transport. We consider Brownian motion restricted by randomly placed and oriented permeable membranes and focus on the disorder-averaged diffusion propagator using a scattering approach. The renormalization group solution reveals a scaling behavior of the diffusion coefficient for large times, with a characteristically slow inverse square root time dependence. The predicted time dependence of the diffusion coefficient agrees well with Monte Carlo simulations in two dimensions. Our results can be used to identify permeable membranes as restrictions to transport in disordered materials and in biological tissues, and to quantify their permeability and surface area.Comment: 8 pages, 3 figures; origin of dispersion clarified, refs adde

A Novel Three-Phase Model of Brain Tissue Microstructure

We propose a novel biologically constrained three-phase model of the brain microstructure. Designing a realistic model is tantamount to a packing problem, and for this reason, a number of techniques from the theory of random heterogeneous materials can be brought to bear on this problem. Our analysis strongly suggests that previously developed two-phase models in which cells are packed in the extracellular space are insufficient representations of the brain microstructure. These models either do not preserve realistic geometric and topological features of brain tissue or preserve these properties while overestimating the brain's effective diffusivity, an average measure of the underlying microstructure. In light of the highly connected nature of three-dimensional space, which limits the minimum diffusivity of biologically constrained two-phase models, we explore the previously proposed hypothesis that the extracellular matrix is an important factor that contributes to the diffusivity of brain tissue. Using accurate first-passage-time techniques, we support this hypothesis by showing that the incorporation of the extracellular matrix as the third phase of a biologically constrained model gives the reduction in the diffusion coefficient necessary for the three-phase model to be a valid representation of the brain microstructure

Quantitative principles of cis-translational control by general mRNA sequence features in eukaryotes.

BackgroundGeneral translational cis-elements are present in the mRNAs of all genes and affect the recruitment, assembly, and progress of preinitiation complexes and the ribosome under many physiological states. These elements include mRNA folding, upstream open reading frames, specific nucleotides flanking the initiating AUG codon, protein coding sequence length, and codon usage. The quantitative contributions of these sequence features and how and why they coordinate to control translation rates are not well understood.ResultsHere, we show that these sequence features specify 42-81% of the variance in translation rates in Saccharomyces cerevisiae, Schizosaccharomyces pombe, Arabidopsis thaliana, Mus musculus, and Homo sapiens. We establish that control by RNA secondary structure is chiefly mediated by highly folded 25-60 nucleotide segments within mRNA 5' regions, that changes in tri-nucleotide frequencies between highly and poorly translated 5' regions are correlated between all species, and that control by distinct biochemical processes is extensively correlated as is regulation by a single process acting in different parts of the same mRNA.ConclusionsOur work shows that general features control a much larger fraction of the variance in translation rates than previously realized. We provide a more detailed and accurate understanding of the aspects of RNA structure that directs translation in diverse eukaryotes. In addition, we note that the strongly correlated regulation between and within cis-control features will cause more even densities of translational complexes along each mRNA and therefore more efficient use of the translation machinery by the cell

Quantitative permeability imaging of plant tissues

A method for mapping tissue permeability based on time-dependent diffusion measurements is presented. A pulsed field gradient sequence to measure the diffusion encoding time dependence of the diffusion coefficients based on the detection of stimulated spin echoes to enable long diffusion times is combined with a turbo spin echo sequence for fast NMR imaging (MRI). A fitting function is suggested to describe the time dependence of the apparent diffusion constant in porous (bio-)materials, even if the time range of the apparent diffusion coefficient is limited due to relaxation of the magnetization. The method is demonstrated by characterizing anisotropic cell dimensions and permeability on a subpixel level of different tissues of a carrot (Daucus carota) taproot in the radial and axial directions

Recent global-warming hiatus tied to equatorial Pacific surface cooling

Despite the continued increase of atmospheric greenhouse gases, the annual-mean global temperature has not risen in this century, challenging the prevailing view that anthropogenic forcing causes climate warming. Various mechanisms have been proposed for this hiatus of global warming, but their relative importance has not been quantified, hampering observational estimates of climate sensitivity. Here we show that accounting for recent cooling in the eastern equatorial Pacific reconciles climate simulations and observations. We present a novel method to unravel mechanisms for global temperature change by prescribing the observed history of sea surface temperature over the deep tropical Pacific in a climate model, in addition to radiative forcing. Although the surface temperature prescription is limited to only 8.2% of the global surface, our model reproduces the annual-mean global temperature remarkably well with r = 0.97 for 1970-2012 (a period including the current hiatus and an accelerated global warming). Moreover, our simulation captures major seasonal and regional characteristics of the hiatus, including the intensified Walker circulation, the winter cooling in northwestern and prolonged drought in southern North America. Our results show that the current hiatus is part of natural climate variability, tied specifically to a La Niña-like decadal cooling. While similar decadal hiatus events may occur in the future, multi-decadal warming trend is very likely to continue with greenhouse gas increase

Electromagnetic Characteristics of the Soil

The electromagnetic characteristics of the soil are discussed in this chapter. The characteristics of porous bedrock, soil medium, and impacts of rain attenuations are also presented. The models of dielectric soil properties are studied with a rigorous focus on the constitutive parameters of subsurface soil medium. Moreover, the permittivity and wavenumber in soil are explained. In addition, the frequency-dependent dielectric properties such as dispersion in soil, absorption characteristic, and penetration depth versus frequency are reviewed. Furthermore, the effective permittivity of soil–water mixture for through-the soil-propagation mechanism is analyzed thoroughly

Bayesian inversion of synthetic AVO data to assess fluid and shale content in sand-shale media

Reservoir characterization of sand-shale sequences has always challenged geoscientists due to the presence of anisotropy in the form of shale lenses or shale layers. Water saturation and volume of shale are among the fundamental reservoir properties of interest for sand-shale intervals, and relate to the amount of fluid content and accumulating potentials of such media. This paper suggests an integrated workflow using synthetic data for the characterization of shaley-sand media based on anisotropic rock physics (T-matrix approximation) and seismic reflectivity modelling. A Bayesian inversion scheme for estimating reservoir parameters from amplitude vs. offset (AVO) data was used to obtain the information about uncertainties as well as their most likely values. The results from our workflow give reliable estimates of water saturation from AVO data at small uncertainties, provided background sand porosity values and isotropic overburden properties are known. For volume of shale, the proposed workflow provides reasonable estimates even when larger uncertainties are present in AVO data