Regimes of snow depth, soil temperature, soil matric potential and quasi-friction velocity in a windward site and a lee shelter were examined. The differences were analyzed from a biological perspective to .characterize each location in terms of site favorability to plant growth. The chronology of wind and precipitation events was investigated. Snow depth was measured with a system of stakes arranged around and in the interior of a rectangular plot encompassing both a windward site and a lee shelter. Soil temperature, soil matric potential and water potential were measured along a transect which originated in the windward site and terminated in the lee shelter. Soil temperature and water potential were measured by thermocouple psychrometer. Mattie potentials was determined by the pressure-plate method. The regimes of quasi-friction velocity at both ends of the transect were determined by the logarithmic profile method, invoking similarity theory. Wind speed and temperature were measured at two heights in each site. A computer program was used to search the wind and precipitation records and ·categorize and sun the precipitation events by wind direction. The lee shelter exhibited tendencies toward theoretical optima of site favorability. The horizontal distribution of snow maxima was found. to be a function of wind direction at the time of each precipitation event as well as the interaction of wind and the topographical features. Snow was observed to accumulate to a greater depth in the lee shelter than in the windward site. Mean soil temperature over the study period was 8.5° C in the lee shelter while the windward site was 8.0° C. Soil temperature in the lee shelter was never observed to go below 0° C under a snowpack. The range of soil matric potential in the lee shelter was found to be about 14 atm at a depth of 20 cm and about 17 atm at a depth of 50 cm over the summer season. In the windward site the range of soil matric potential was approximately 30 atm at a depth of 20 cm and about 21 atm at a the 50 cm depth over the same period. The lee shelter exhibited lower (less negative) matric potentials than the windward site. These results were not corroborated by the measurement of water potential by thermocouple psychrometers. In the layer from 1.5 to 4.1 m, the mean quasi-friction velocity in the lee shelter was 39 cm s-1, favoring snow deposition there over the windward site where the mean friction velocity was 21 cm s-l. In the 0 m to 1. 5 m layer, mean friction velocity in the windward site was found to be 55 cm s-1.while the lee shelter mean was 48 cm s-1. These results indicate a distinct seperation of flow downwind of the windward site where the lee shelter resides in the turbulent wake of the windward site.

New Zealand is dominated by its agricultural industry with one of the most intensive farming practices being that of intensive dairying. New Zealand currently has approximately 5.3 million dairy cows that excrete up to 2.2 L of urine, per urination event, up to 12 times per day. This equates to 5.1 x10¹⁰ L per year or enough urine to fill over 1.2 million milk tankers. This sheer volume of urine and its associated N content has implications for the cycling of N within the pasture soils utilised, and New Zealand’s greenhouse gas budget due to the emission of N₂O from urine affected areas. The emission of nitric oxide (NO) from agricultural systems is also receiving increasing attention due to concerns about alterations in the balance of atmospheric trace gases and sinks. Worldwide there is a dearth of information with respect to the emissions of NO from urine-N deposition onto soils with only two in situ studies and no studies on the effects of soil pH, environmental variables or urine-N rate on NO fluxes. This present study has provided some fundamental information on the factors and processes affecting the emission of NO from bovine urine applied to pasture soils. Five experiments were performed in total; three laboratory experiments and two field experiments. The first laboratory experiment (chapter 4) examined the effect of the initial soil pH on NOx emissions from urine-N applied at 500 kg N ha⁻¹. Soil was treated to alter the initial soil pH over the range of 4.4 to 7.6. Initial soil pH affected rates of nitrification which in turn affected the decline in soil pH. Emissions of NO increased with increasing soil pH. However, a strong positive linear relationship was established between the NO-N flux, expressed as a percentage of the net NH4⁺-N depletion rate, and the level of soil acidity. The NO-N fluxes were higher under the more acidic soil conditions where N turnover was lower. The fluxes of N₂O did not follow the same pattern and were attributed to biological mechanisms. In experiment two (chapter 5) the objectives were to concurrently examine the effects of varying the soil temperature and the water-filled pore space (WFPS) on NOx emissions from urine-N. In this experiment increasing the soil temperature enhanced both the rate of nitrification and the rate of decrease in soil pH. The relationship between the net NO-N flux, expressed as a percentage of the net NH4⁺-N depletion rate, and the level of soil acidity was again demonstrated at the warmest soil temperature (22°C) where soil acidification had progressed sufficiently to enable abiotic NO formation. The NO-N fluxes increased with decreasing soil moisture and increasing soil acidity indicating abiotic factors were responsible for NO production. The Q10 response of the NO flux between 5 to 15°C decreased from 4.3 to 1.5 as WFPS increased from 11% to 87% respectively. Fluxes of N₂O increased with increasing WFPS and temperature indicating that denitrification was the dominant process. Results from experiments 2 and 3 indicated that the rate of nitrification had a direct bearing on the ensuing soil acidity and that it was this in conjunction with the available inorganic-N pools that affected NOx production. Therefore the third experiment examined the effect of urine-N rate on NOx emissions, with urine-N rate varied over 5 levels from 0 to 1000 kg N ha⁻¹, the highest rate being that found under maximal urine-N inputs to pasture. Rates of nitrification were diminished at the highest rates of urine-N applied and decreases in soil acidity were not as rapid due to this. Again significant but separate linear relationships were developed, for each urine-N rate used, between the NO-N flux, expressed as a percentage of the net NH4⁺-N depletion rate, and the level of soil acidity. The slope of these relationships increased with increasing urine-N rate. The NO-N flux, expressed as a percentage of the net NH4⁺-N depletion rate, versus soil acidity was higher under 1000 kg N ha⁻¹, despite the lower soil acidity in this treatment. This indicated that the enhanced inorganic-N pool was also playing a role in increasing the NO flux. The N₂O fluxes were of limited duration in this experiment possibly due to conditions being disadvantageous for denitrification. In the field experiments two urine-N rates were examined under both summer and winter conditions at two urine-N rates. The emission factors after 71 days for NO-N in the summer were 0.15 and 0.20% of the urine-N applied for the 500 and 1000 kg N ha⁻¹ rates respectively while the respective N₂O-N fluxes were 0.14 and 0.16%. Under winter conditions the emission factors after 42 days for NO-N were <0.001% of the urine-N applied regardless of urine-N rate while the N₂O-N fluxes were 0.05 and 0.09% for the 500 and 1000 kg N ha⁻¹ urine-N rates respectively. The relationships and predictors of NO-N flux determined in the laboratory studies did not serve as strong indicators of the NO-N flux under summer conditions. Low emissions from urine-N over winter were due to the low soil temperatures and high WFPS. These studies have demonstrated that soil chemical and environmental variables influence the production of NOx and N₂O emissions from urine-N applied to soil and that seasonal effects have a significant impact on the relative amounts of NO-N and N₂O-N emitted from urine patches. Suggestions for future work are also made.

Diss. (sammanfattning) Alnarp : Sveriges lantbruksuniv. / Härtill 5 uppsatser.

The solution of a differential parcial parabolic equation of the Heat Flow on the Soil allows to simulate temperatures along a specific profile. For that, it is necessary to work with the soil analytical solution, but this solution is too complex for certain field situation. For this reason one of the methods of working soil temperature simulation are the called Numerical Methods of Finite Differences which allow to change the first and second order derivades for the called numerical scheme. In this work the main objective was to simulate temperature data with conditions of contour and initials so that they could be compared with observed temperature data of a meteorological station built on a field of naked soil (DNIT). We took into consideration external and internal facts which affect the soil temperature, such as solar radiation, heat flow, precipitation, humidity and thermal diffusivity that were calculated or for the station or for the simulation through the soil temperature data. In the case of humidity the method used was the gravimetric that allowed calculate the amount of water on that studied soil. On the other hand, for the diffusivity, two methods were used, one for the soil energy propagation and the other of analytic way, with the use of the known formula. The observed data were built in tables where we showed the rhythm of temperature variation along the day of March, as the considered days were only the even days, because the main reason was to evaluate the explicit model. After that the temperature data simulated by the numerical method were also put in graphics so that they could be compared with the observed ones. We noted that on days 09, 11 and 18 there were quite good approximation. This work has its importance in the data acquisition, as well as one more source to be used by the researchers of the area, and by beginners in the process of modeling of soil. / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A solução de uma equação diferencial parcial parabólica do Fluxo de Calor no Solo permite simular temperaturas ao longo de um perfil especificado. Para tanto, se faz necessário trabalhar com a solução analítica do solo, porém sua solução é muito complexa para determinadas situações de campo. Por este motivo um dos métodos de se trabalhar simulações de temperatura no solo são os chamados métodos numéricos de diferenças finitas que permite trocar as derivadas de 1.ª e 2.ª ordem pelos chamados esquemas numéricos. Neste trabalho o objetivo principal foi simular dados de temperatura com condições de contorno e iniciais para que pudessem ser comparados com dados observados de temperatura de uma estação meteorológica montada em um terreno de solo nu (DNIT). Levaram-se em consideração fatores externos e internos que afetam a temperatura do solo, tais como, radiação solar, fluxo de calor, precipitação, umidade e difusividade térmica que foram calculados ou pela estação ou pela simulação mediante os dados de temperatura do solo. No caso da umidade o método utilizado foi o gravimétrico que permitiu aferir a quantidade de água naquele solo estudado. Já a difusividade, por sua vez, foi usada dois métodos, um pela propagação de energia do solo e o outro de forma analítica, com o uso da fórmula conhecida. Os dados observados foram montados em tabelas onde se mostrou o ritmo de variação da temperatura ao longo do dia do mês de março, visto que os dias considerados foram apenas os três dias 09, 11 e 18, já que o motivo principal foi avaliar o modelo explícito. Depois os dados de temperatura simulados pelo método numérico também foram colocados em gráficos para que pudessem ser comparados com os observados. Constataram-se nos dias 09,11 e 18 aproximações razoavelmente boas. Este trabalho tem sua importância na aquisição de dados, bem como, uma fonte a mais para que se possa ser utilizados por pesquisadores da área, bem como iniciantes no processo de modelação do solo.

This thesis links papers reporting field measurements, modelling studies and reviews of greenhouse gas (GHG) emissions and their abatement from agriculture, in particular from livestock production. The aims of the work were to: quantify GHG emissions from litter-based farmyard manures; evaluate means by which GHG emissions from agricultural production may be abated; assess synergies and conflicts between the abatement of other N pollutants on emissions of nitrous oxide (N2O); analyse two records of soil temperature from 1976-2010 from Wolverhampton (UK) and Vienna (Austria). Agricultural emissions of GHGs are not readily abated by ‘end of pipe’ technologies. Large decreases in agricultural GHG emissions may require changes in the production and consumption of food that could have unwelcome impacts on both consumers and producers. However, identifying and prioritizing both modes and locations of production, together with utilizing inputs, such as N fertilizer and livestock feeds, more efficiently can reduce GHG emissions while maintaining outputs. For example, GHG emissions from livestock production may be lessened by increasing the longevity of dairy cows, thereby decreasing the proportion of unproductive replacement animals in the dairy herd. Sourcing a larger proportion of calves from the dairy herd would decrease emissions of GHGs from beef production. The distance between the region of food production to that of consumption has relatively little impact on total GHG emissions per tonne of food product. Due to greater productivity or lesser energy inputs, importing some foods produced in other parts of the world may decrease GHG emissions per tonne compared with UK production, despite the additional emissions arising from long-distance transport. Manure application techniques to abate ammonia (NH3) emissions do not axiomatically increase emissions of N2O and may decrease them. Soil temperature measurements from 1976 to 2010 were consistent with the warming trends reported over the last 40 years.

No description available.

In order to obtain credit for an eco-roof in building energy load calculations the steady state and time-varying thermal properties (thermal mass with evapotranspiration) must be fully understood. The following study presents results of experimentation and modeling in an effort to develop dynamic thermal mass performance metrics for eco-roof systems. The work is focused on understanding the thermal parameters (foliage & soil) of an eco-roof, further validation of the EnergyPlus Green Roof Module and development of a standardized metric for assessing the time-varying thermal benefits of eco-roof systems that can be applied across building types and climate zones. Eco-roof foliage, soil and weather parameters were continuously collected at the Green Roof Integrated PhotoVoltaic (GRIPV) project from 01/20/2011 to 08/28/2011. The parameters were used to develop an EnergyPlus eco-roof validation model. The validated eco-roof model was then used to estimate the Dynamic Benefit for Massive System (DBMS) in 4 climate-locations: Portland Oregon, Chicago Illinois, Atlanta Georgia and Houston Texas. GRIPV30 (GRIPV soil with 30% soil organic matter) was compared to 12 previously tested eco-roof soils. GRIPV30 reduced dry soil conductivity by 50%, increased field capacity by 21% and reduced dry soil mass per unit volume by 60%. GRIPV30 soil had low conductivity at all moisture contents and high heat capacity at moderate and high moisture content. The characteristics of the GRIPV30 soil make it a good choice for moisture retention and reduction of heat flux, improved thermal mass (heat storage) when integrating an eco-roof with a building. Eco-roof model validation was performed with constant seasonal moisture driven soil properties and resulted in acceptable measured - modeled eco-roof temperature validation. LAI has a large impact on how the Green Roof Module calculates the eco-roof energy balance with a higher impact on daytime (measured - modeled) soil temperature differential and most significant during summer. DBMS modeling found the mild climates of Atlanta Georgia and Houston Texas with eco-roof annual DBMS of 1.03, 3% performance improvement above the standard building, based on cooling, heating and fan energy consumption. The Chicago Illinois climate with severe winter and mild spring/summer/fall has an annual DBMS of 1.01. The moderate Portland Oregon climate has a below standard DBMS of 0.97.

No description available.

Atmospheric convection is sensitive to the nature of the surface and its temperature. Both dry (without cloud) and moist (with cloud) convections depend on the surface temperature. Surface temperature is of critical importance in several practical applications like human comfort and crop cultivation. In the climate change scenario too, variations in the surface temperature take the center stage. Therefore, prediction of surface temperature is important. The evolution of the temperature is governed by the energy equation and the surface temperature by the surface energy balance. Important components of the surface energy balance are radiation (incoming solar radiation, reflected solar radiation, incoming and outgoing longwave radiation), sensible and latent heat fluxes and heat flux into the ground (called ground heat flux). A large number of individual and collective observations have been carried out in the past to understand the atmospheric boundary layer and the surface energy budgets. However a major share of the observations is from mid-latitudes. There have been few experiments carried out in India, for example, MONTBLEX, LASPEX, etc. One common drawback among these experiments is that the data time series is discontinuous and continuous measurements covering an entire season are lacking. Moreover these measurements were not comprehensive and hence did not allowed to calculate complete surface energy balance – in some cases radiation data is not available while in some humidity data. Therefore, continuous time series of sufficient duration and covering all variables needed to look at the seasonal energy balance based on measurements alone is missing in the Indian context. New programmes with the main objective of predicting convection are being planned in India. For example, PROWNAM (Prediction of Regional Weather with Observational Meso-Network and Atmospheric Modeling) is aimed at predicting the short term weather at SHAR and STORM (Severe Thunderstorms – Observations and Regional Modeling) aims to predict the occurrence of severe thunderstorms in the northeastern India. In both these programmes, measurement of all components of surface energy balance is one of the main objectives. However, the minimum configuration and data accuracy requirements for the flux towers, sensitivity of computed fluxes on data accuracy have not been carefully evaluated. This thesis is aimed at filling this gap. As a part of my work, a 10 m high micrometeorological tower was installed in an open area within the Indian Institute of Science (IISc) Air Field. Temperature, relative humidity and wind speed and direction instruments were mounted at two levels, 2 m and 8 m. All components of radiation were measured. Data, sampled every 5 s and averaged for 2 minutes were continuously stored, starting May 2006 onwards. Soil temperature was measured at 4 depths, 5 cm, 10 cm, 15 cm and 20 cm. In addition, a sonic anemometer capable of measuring 3 components of velocity and air temperature was installed at 2 m height, and data was collected for more than a month to enable the calculation of momentum and buoyancy fluxes using the Eddy correlation method (ECM). The present work evaluated the sensitivity of the fluxes for small calibration errors and quantified the minimum data accuracies and configuration needed for flux measurement with the Profile method (PM). After applying corrections, the comparison of fluxes from PM and ECM are in good agreement. The complete long-term surface energy balances is calculated in terms of source and sink. One aspect that emerges from the observation is that the seasonal variation in the sink term is relatively small (150-170 Wm-2) whereas the source term shows much larger variation from 180-250 Wm-2. A method has been implemented by which the ground surface temperature can be estimated by using the subsurface temperature timeseries by the method of Fourier decomposition and using the Fourier heat conduction equation. In addition we can compute the thermal diffusivity of the soil by using the amplitude and phase information of the sub-surface soil time series. The estimated temperatures from this method and one that estimated from radiation method are in good agreement with the maximum difference being less than 0º C.

Diss. (sammanfattning) Uppsala : Sveriges lantbruksuniv., 2007. / Härtill 4 uppsatser.