Chlorine stable isotope analysis (?37Cl ) means of stream water (- 0.95 ‰, n = 22), rainwater (- 1.51 ‰, n = 12), fog water (- 1.08 ‰, n = 7) and silicate mineral bound chloride (+ 0.13 ‰, n = 3) are used in an isotope mass balance approach to estimate sources of stream chloride. During summer-baseflow conditions, the chloride budget of two catchments in southwestern Nova Scotia is approximately 39 % from rainfall, 37 % from fog water and 24 % from rock/water interactions. The results of a significant source of geological chloride suggest the use of chloride in stream water as a proxy for marine derived sulphate may not be valid. This conclusion implies that anthropogenic sources of sulphate to acid sensitive ecosystems of southwestern Nova Scotia have been underestimated when chloride is assumed to be a conservative ion in the hydrological cycle.

No description available.

No description available.

The interannual variability of tropical climates, including the tropical Marine climate, is best reflected in the rainfall activity of a given area. The effects of such variability are manifested in a number of ways on the physical landscape. However, this study focused on the ways in which the variability of the rainfall received on the Caribbean island of Trinidad, influenced the resulting streamflow discharges for different basins on the island. Various techniques such as time series analysis and spectral analysis, were used to identify the physical mechanisms, both local and non-variations in the regimes, such that the effects of easterly waves were observed in the rainfall; the Madden-Julian wave was identified in both the precipitation and streamflow regimes; there was evidence of a faster 14-25 day oscillation; and finally, the migration of the Intertropical Convergence Zone was found to be quasi-periodic in nature.

No description available.

No description available.

The emergence of a vast range of communication devices running on different types of technology has made convergence of technology become the order of the day. This revolution observed in communications technology has resulted in a pressing need for larger bandwidth, higher data rate and better spectrum availability, and it has become important that these factors be addressed. As such, this has resulted in the current resurgence of interest to investigate higher electromagnetic spectrum space that can take care of these needs. For the past decade, microwave (3 GHz-30 GHz) and millimeter waves (30 GHz-300 GHz) have been used as the appropriate frequency ranges for applications with properties such as wide bandwidth, smaller components size, narrow beamwidths, frequency re-use, small antenna, and short deployment time. To optimize the use of these frequency ranges by communication systems, the three tiers of communication system elements - receiver, transmitter and transmission channel or medium must be properly designed and configured. However, if the transmitter and receiver meet the necessary requirements, the medium in which signals are transmitted often becomes an issue at this range of frequencies. The most significant factor that affects the transmission of signals at these bands is attenuation and scattering by rain, snow, water vapour and other gases in the atmosphere. Scattering and absorption by rain at microwave and millimeter bands is thus a main concern for system designers. This study presents results of research into the interaction of rainfall with microwave and millimeter wave propagation as a medium. The study of rainfall characteristics allows estimation of its scattered and attenuated effects in the presence of microwave and millimeter waves. The components of this work encompass rainfall rate integration time, cumulative distribution and modelling of rainfall rate and characteristics of rain drop size and its modelling. The effects of rain on microwave and millimeter wave signals, which result in rain attenuation, are based on rainfall rate variables such as rainfall rate cumulative distribution, raindrop size distribution, total scattering cross sections, rain drop shape, and rain drop terminal velocity. A regional rainfall rate conversion factor from five-minute rainfall data to one-minute integration time is developed using the existing conversion method and a newly developed hybrid method. Based on these conversion factor results from the hybrid method, the rainfall at five-minute integration time was converted to a one-minute equivalent to estimate its cumulative distributions. In addition, new rain zones based on ITU-R and Crane designations are suggested for the entire region of South Africa and the surrounding Islands. The results are compared with past research work done in the other regions. Rain attenuation is acutely influenced by rain drop size distribution (DSD). This study thus also investigates DSD models from previous research work. There are several DSD models commonly used to estimate rain attenuation. They are models which have their root from exponential, gamma, lognormal and Weibull distributions. Since DSD is dynamic and locationdependent, a simple raindrop size distribution model is developed for Durban using maximum likelihood estimation (MLE) method. The MLE method is applied to the three-parameter lognormal distribution in order to model DSD for Durban. Rain drop size depends on rainfall rate, drop diameter and rain drop velocity. Semi-empirical models of terminal velocity from previous studies are investigated in this work and proposed for the estimation of specific rain attenuation. / Thesis (Ph.D.)-University of KwaZulu-Natal, Durban, 2010.

Advances in today’s fast growing communication systems have resulted in congestion in the lower frequency bands and the need for higher capacity broadband services. This has made it inevitable for service providers to migrate to higher frequency bands so as to accommodate the ever increasing demands on radio communication systems. However, the reliability of such systems at these frequency bands tend to be severely degraded due to some natural atmospheric phenomena of which rain is the dominant factor. This is not to say that other factors have become unimportant; however, if attenuation by rain is so severe that a radio link is unavailable for use, then other factors become secondary. Therefore, it is paramount to establish a model capable of predicting the behaviour of these systems in the presence of rain. This study employs a semi-empirical approach for the formulation of rain attenuation models using the knowledge of rain rate, raindrop size distribution, and a signal level measurement recorded at 19.5 GHz on a horizontally polarized terrestrial radio link. The semi-empirical approach was developed by considering the scattering effect of an electromagnetic wave propagating through a medium containing raindrops. The complex forward scattering amplitudes for the raindrops are determined for all raindrop sizes at different frequencies, utilizing the Mie scattering theory on spherical dielectric raindrops. From these scattering amplitudes, the extinction cross-sections for the spherical raindrops are calculated. Applying the power-law regression to the real part of the calculated extinction cross-section, power-law coefficients are determined at different frequencies. The power-law model generated from the extinction crosssection is integrated over different raindrop-size distribution models to formulate theoretical rain attenuation models. The developed rain attenuation models are used with 0.01 R rain rate statistics determined for four locations in different rain climatic zones in South Africa to calculate the specific rain attenuation. From a horizontally polarized 6.73 km terrestrial line-of-sight link in Durban, South Africa,experimental rain attenuation measurements were recorded at 19.5 GHz. These rain attenuation measurements are compared with the results obtained from the developed attenuation models with the same propagation parameters to establish the most appropriate attenuation models that describe the behaviour of radio link performance in the presence of rain. For the purpose of validating the results, it is compared with the ITU-R rain attenuation model. This study also considers the characteristics and variations associated with rain attenuation for terrestrial communication systems. This is achieved by utilizing the ITU-R power-law rain attenuation model on 5-year rain rate data obtained from the four different climatic rain zones in South Africa to estimate the cumulative distributions of rain attenuation. From the raindrop size and 1-minute rain rate measurement recorded in Durban with a distrometer over six months, rain events over the six months are classified into drizzle, widespread, shower and thunderstorm rain types and the mean rain rate statistics determined for each class of rain. Drop-size distribution for all the rain types is estimated. This research has shown a statistical analysis of rain fade data and proposed an empirical rain attenuation model for South Africa localities. This work has also drawn out theoretical rain attenuation prediction models based on the assumption that the shapes of raindrops are spherical. The results predicted from these theoretical attenuation models have shown that it is not the raindrop shapes that determine the attenuation due to rain, but the raindrop size distribution and the rain rate content in the drops. This thesis also provides a good interpretation of cumulative rain attenuation distribution on seasonal and monthly basis. From these distributions, appropriate figures of fade margin are derived for various percentages of link availability in South Africa. / Thesis (Ph.D.)-University of KwaZulu-Natal, Durban, 2010.

This dissertation establishes a precipitation climatology for common storm types and structures in southeast Texas, investigating diurnal, seasonal, and interannual rainfall variations in addition to climatological differences in raindrop size distributions and storm divergence profiles. Divergence profiles observed by an S-band, Doppler radar are compared to ensemble simulations of ten precipitating systems occurring in warm season, weakly baroclinic, and strongly baroclinic environments. Eight triply-nested mesoscale model simulations are conducted for each case using single- and double- moment microphysics with four convective treatments (i.e., two convective parameterizations and explicit vs. parameterized convection at 9 km). Observed and simulated radar reflectivities are objectively separated into convective, stratiform, and non-precipitating anvil columns and comparisons are made between ensemble mean echo coverages and levels of non-divergence (LNDs). In both the model and observations, storms occurring in less baroclinic environments have more convective rain area, less stratiform rain area, and more elevated divergence profiles. The model and observations agree best for well-organized, leading-line trailing stratiform systems. Excessive convective rain area and elevated LNDs are simulated for several less organized cases. Simulations parameterizing convection on the intermediate grid produced less elevated divergence profiles with smaller magnitudes compared to their explicit counterparts. In one warm season case, double-moment microphysics generated lower LNDs associated with variations in convective intensity and depth, detraining less ice to anvil and stratiform regions at midlevels relative to a single-moment scheme. Similarly, mesoscale convective vortex simulations employing an ensemble-based versus a single-closure convective parameterization produced the least elevated heating structures (closer to observed) resulting in the weakest midlevel vortices. Finally, this dissertation is unique in that some of the data collection and a portion of the analysis involved 95 undergraduates in a five-year research and education program, the Student Operational ADRAD Project (SOAP). In addition to documenting the program's structure and implementation, student-reported experiences, confidence, and interest in performing SOAP tasks are also analyzed. Students participating in SOAP for multiple years were significantly more confident in performing SOAP tasks, more likely to obtain science or meteorology-related employment upon graduation, and more likely to matriculate to graduate programs, suggesting programs like SOAP have a strong influence on students' career outcomes and self-efficacy.

This Thesis presents the results of various studies on peat soils and organic surface horizons of peaty podzols derived from acidification-sensitive parent materials. It aims primarily at finding out which peat and organic surface horizon chemical properties correlate most significantly with acidifying deposition parameters, the effect that acidifying pollutant deposition has on growth of vegetation (<I>Calluna vulgaris</I>) and litter decomposition, and the fate of ammonia in peat soils. Two regional surveys were carried out throughout Scotland. Significant correlations were found particularly between the chemical properties of peat and the effective concentrations of the acidifying deposition components. The more significant correlations found with peat pH(water), rather than with pH(CaCl₂), point to the fact that the mobile anion effect is important. A method was established for estimating the pH of soil solution at field conditions, <I>i.e.</I> at a dilution factor of unity, and a close similarity was subsequently found between this estimated pH and the effective pH of deposition. It is suggested that this provides an excellent basis for pH prediction for ombrotrophic peats. Significant seasonal variations in peat chemistry were found, with peat pH(water), for example, varying by up to 0.4 pH units throughout the year. A 7-month pot experiment demonstrated significantly lower growth rates of <I>Calluna vulgaris</I>, and slower litter decomposition rates, at higher acidifying deposition inputs. Studies on the retention of NH₄⁺ in peats clearly show that there is only a limited capacity for biological immobilisation of NH₄⁺ at high input concentrations. More information is needed on the fate of NH₄⁺ inputs in the soil, and on the extent to which retention is via cation exchange and biological uptake, and this needs to be taken into consideration when setting critical loads for N.