A importância do Estado de São Paulo (ESP) é notável no desenvolvimento do Brasil, seja no setor econômico ou energético, o que justifica o estudo do comportamento do clima nessa região. O conhecimento da variabilidade da precipitação é imprescindível na gestão de recursos hídricos e possui grande impacto na agricultura e geração de energia por meio de fontes hidrelétricas. Estudos anteriores apontaram efeitos não-lineares do El Niño-Oscilação Sul (ENOS) sobre a precipitação no ESP; entretanto, nenhum estudo específico acerca da influência da Oscilação interdecadal do Pacífico (ODP) nesta área foi ainda realizado, embora haja alguns impactos conhecidos na América do Sul. Deste modo, este trabalho estudou a relação entre anomalias de precipitação no ESP e a ODP, no período de 1901 a 2007, de forma a auxiliar as pesquisas na linha da previsão climática nessa região do Brasil. Na primeira etapa, foram descritos os regimes de precipitação tanto para a América do Sul como localmente, para o ESP, onde se destacaram fatores como a topografia e a influência do Oceano Atlântico. Posteriormente, foram calculados quantis anuais e mensais que permitiram classificar cada evento quanto ao total de precipitação. Regiões pluviometricamente homogêneas foram determinadas no ESP com base na climatologia e nos quantis de precipitação. Notou-se a relação construtiva entre eventos ENOS e as fases da ODP, com máximo durante o verão austral. Os sinais da ODP são percebidos em todo o ESP principalmente na primavera e no verão austrais. Uma análise complementar mostrou que as fases da Oscilação Multidecadal do Atlântico (AMO) também contribuem para a precipitação no ESP durante o verão e a primavera austrais no litoral, durante o verão no interior, e ao longo da primavera na região da Serra da Mantiqueira. Aparentemente, não há relação entre os eventos ENOS e a AMO. / São Paulo State (SPS) is remarkably important to the development of Brazil, economically or energetically, and this justifies climate studies on that region. Knowing rainfall variability is essential to water resources management and it has a great impact on agriculture an power production by hydroelectric power plants. Previous studies have detected non-linear effects of El Niño-Southern Oscillation (ENSO) on SPS rainfall however no specific work deals with PDO influence in this area besides some impacts on South America are known. Therefore this work has studied the relationship between rainfall anomalies in SPS and PDO from 1901 to 2007 to contribute to the climate forecasting improvement. First it was described the rainfall regime in South America, and locally in SPS where topography and the Atlantic Ocean influences were of special importance. Then annual and monthly quantiles were calculated to allow the classification of events according to rainfall totals. Rainfall homogeneous regions were established in SPS using climatology and quantiles. It was observed the constructive relationship between ENSO events and PDO phases, mainly on austral summer. PDO signals were noticed all over the SPS mostly on austral spring and summer. An additional analysis showed that Atlantic Multidecadal Oscillation (AMO) phases also contribute to SPS rainfall during austral summer and spring at the coast, only on summer at the country and during spring at the Mantiqueira Slopes. Apparently, there is no relation between ENSO events and AMO phases.

Improving agricultural water management is important for conserving water during dry seasons, using limited water resources in the most efficient way, and minimizing environmental risks (e.g., leaching, surface runoff). The understanding of water movement in different zones of agricultural production fields is crucial to developing an effective irrigation strategy. This work centered on optimizing field water management by characterizing the spatial patterns of soil hydraulic properties. Soil hydraulic conductivity was measured across different zones in a farmer’s field, and its spatial variability was investigated by using geostatistical techniques. Since direct measurement of hydraulic conductivity is time-consuming and arduous, pedo-transfer functions (PTFs) have been developed to estimate hydraulic conductivity indirectly through more easily measurable soil properties. Due to ignoring soil structural information and spatial covariance between soil variables, PTFs often perform unsatisfactorily when field-scale estimations of hydraulic conductivity are needed. The performance of PTFs in estimating hydraulic conductivity in the field was therefore critically evaluated. Due to the presence of structural macro-pores, saturated hydraulic conductivity (Ks) showed high spatial heterogeneity, and this variability was not captured by texture-dominated PTF estimates. However, the general spatial pattern of near-saturated hydraulic conductivity can still be reasonably generated by PTF estimates. Therefore, the hydraulic conductivity maps based on PTF estimates should be evaluated carefully and handled with caution. Recognizing the significant contribution of macro-pores to saturated water flow, PTFs were further improved by including soil macro-porosity and were proven to perform much better in estimating Ks compared with established PTFs tested in this study. Additionally, the spatial relationship between hydraulic conductivity and its potential influencing factors were further quantified by the state-space approach. State-space models outperformed current PTFs and effectively described the spatial characteristics of hydraulic conductivity in the studied field. These findings provided a basis for modeling water/solute transport in the vadose zone, and sitespecific water management.

Les modèles pluie-débit sont des outils essentiels pour de nombreuses applications hydrologiques, notamment la prévision des crues. L’objet de cette thèse est d’examiner les performances d’un modèle événementiel distribué, dont l’intérêt est de résumer la représentation des processus à la phase de crue, et la condition initiale à un indice de saturation du bassin facilement observable ou accessible. Ce dernier dispense de modéliser la phase inter-crue, et simplifie la paramétrisation et le calage du modèle. Le modèle étudié combine une fonction de production type SCS et une fonction de transfert type lag and route, appliquées à une discrétisation du bassin en mailles carrées régulières.Le modèle est d’abord testé sur le bassin versant du Real Collobrier. Ce bassin méditerranéen est suivi depuis plus de 50 ans par l’IRSTEA, et dispose d’une exceptionnelle densité de mesures de pluies et de débits. Cet environnement favorable permet de limiter les incertitudes sur l’estimation des pluies et d’évaluer les performances intrinsèques du modèle. Dans ces conditions, les crues sont bien reconstituées à l’aide d’un jeu de paramètres unique pour l’ensemble des épisodes testés, à l’exception de la condition initiale du modèle. Celle-ci apparaît fortement corrélée avec l’humidité du sol en début d’épisode, et peut être prédéterminée de façon satisfaisante par le débit de base ou l’indice w2 fourni par le modèle SIM de Météo-France. Les performances du modèle sont ensuite étudiées en dégradant la densité des pluviomètres, et rendent compte du niveau de performances du modèle dans les cas que l’on rencontre le plus souvent. .La variabilité spatiale des paramètres du modèle est étudiée à l’échelle de différents sous-bassins du Real Collobrier. La comparaison a permis de mettre en évidence et de corriger un effet d’échelle concernant l’un des paramètres de la fonction de transfert. Les relations entre la condition initiale du modèle et les indicateurs d’humidités des sols en début d’épisode restent bonnes à l’échelle des sous-bassins, mais peuvent être significativement différentes selon les sous-bassins. Une seule relation ne permet pas de normaliser l’initialisation du modèle sur l’ensemble des sous-bassins, à une échelle spatiale de quelques km2 ou dizaines de km2. Dans le cas de l’indice d’humidité du sol w2, une explication possible est que cet indice ne prend pas en compte suffisamment finement les propriétés des sols. Enfin, la variabilité spatiale des paramètres du modèle est étudiée à l’échelle d’un échantillon d’une quinzaine de bassins méditerranéens de quelques centaines de km2, associés à des paysages et des fonctionnements hydrologiques divers. La comparaison montre qu’à cette échelle, le lien entre les indicateurs de saturation du bassin et la condition initiale peut rester stable par type de bassin, mais varie significativement d’un type de bassin à l’autre. Des pistes sont proposées pour expliquer cette variation.En conclusion, ce modèle événementiel distribué représente un excellent compromis entre performances et facilité de mise en œuvre. Les performances sont satisfaisantes pour un bassin donné ou pour un type de bassin donné. L’analyse et l’interprétation de la variabilité spatiale des paramètres du modèle apparaît cependant complexe, et doit faire l’objet du test d’autres indicateurs de saturation des bassins, par exemple mesures in situ ou mesures satellitaires de l’humidité des sols. / Rainfall-runoff models are essential tools for many hydrological applications, including flood forecasting. The purpose of this thesis was to examine the performances of a distributed event model for reproducing the Mediterranean floods. This model reduces the parametrization of the processes to the flood period, and estimates the saturation of the catchment at the beginning of the event with an external predictor, which is easily observable or available. Such predictor avoids modelling the inter-flood phase and simplifies the parametrization and the calibration of the model. The selected model combines a distributed SCS production function and a Lag and Route transfer function, applied to a discretization of the basin in a grid of regular square meshes.The model was first tested on the Real Collobrier watershed. This Mediterranean basin has been monitored by IRSTEA for more than 50 years and has an exceptional density of rainfall and flow measurements. This favourable environment made it possible to reduce the uncertainties on the rainfall input and to evaluate the actual performances of the model. In such conditions, the floods were correctly simulated by using constant parameters for all the events, but the initial condition of the event-based model. This latter was highly correlated to predictors such as the base flow or the soil water content w2 simulated by the SIM model of Meteo-France. The model was then applied by reducing the density of the rain gauges, showing loss of accuracy of the model and biases in the model parameters for lower densities, which are representative of most of the catchments.The spatial variability of the model parameters was then studied in different Real Collobrier sub-basins. The comparison made it possible to highlight and correct the scale effect concerning one of the parameters of the transfer function. The catchment saturation predictors and the initial condition of the model were still highly correlated, but the relationships differed from some sub-catchments. Finally, the spatial variability of the model parameters was studied for other larger Mediterranean catchments, of which area ranged from some tenth to hundreds of square kilometres. Once more, the model could be efficiently initialized by the base flow and the water content w2, but significant differences were found from a catchment to another. Such differences could be explained by uncertainties affecting as well the rainfall estimation as the selected predictors. However, the relationships between the initial condition of the model and the water content w2 were close together for a given type of catchment.In conclusion, this distributed event model represents an excellent compromise between performance and ease of implementation. The performances are satisfactory for a given catchment or a given type of catchment. The transposition of the model to ungauged catchment is less satisfactory, and other catchment saturation indicators need to be tested, e.g. in situ measurements or satellite measurements of soil moisture.

Soil N2O flux is sensitive to soil moisture content and soil temperature, which are in turn sensitive to changes in climate and topography. Thus, N2O flux measurements exhibit a high degree of spatial and temporal variability. Knowing how the spatial distribution of soil N2O flux changes over time in a hummocky, agricultural landscape will identify measurement scales appropriate for estimates of N2O emissions from these types of terrains. As well, little is known about N2O emissions from uncultivated, ephemeral wetlands in agricultural landscapes, but this information is needed for accurate inventories of N2O emissions. The objectives of this study were to describe the spatial and temporal distribution of soil N2O flux in a hummocky agricultural landscape, and to understand how soil water and soil temperature control the spatial and temporal patterns of N2O flux. For a hummocky, agricultural landscape in the Dark Brown soil zone of Saskatchewan, N2O flux and related soil variables were measured along a 128-point transect multiple times over two years and concurrently from a 50 point, stratified design over three years. The spatial and temporal variation in N2O flux followed an event-based / background emission pattern. High flux events were triggered by precipitation events and recession of water from wetlands following spring snowmelt. Days with high mean flux were characterized by highly skewed (reverse J-shaped) distributions. High variance and coherency was observed at cultivated wetland elements during emission events. Strong location-dependent positive relationships were found between soil N2O flux and water-filled pore space or soil temperature, related to specific landscape elements. Background emissions were characterized by random variation or cyclic behavior that ranged in scale from 20 to 60 m. Cumulative emissions were highest from cultivated wetlands and basin centers of uncultivated wetlands, although emissions from cultivated wetlands were much more important to total cumulative emissions on an area basis. The results indicate that models intended to estimate N2O flux from these landscapes cannot rely on a single predictive relationship, but will have to incorporate predictive relationships localized at specific landscape elements depending on the time of year. At certain times predictive relationships cannot be used and up-scaled estimates will have to rely on direct measurement of emissions.

Soil N2O flux is sensitive to soil moisture content and soil temperature, which are in turn sensitive to changes in climate and topography. Thus, N2O flux measurements exhibit a high degree of spatial and temporal variability. Knowing how the spatial distribution of soil N2O flux changes over time in a hummocky, agricultural landscape will identify measurement scales appropriate for estimates of N2O emissions from these types of terrains. As well, little is known about N2O emissions from uncultivated, ephemeral wetlands in agricultural landscapes, but this information is needed for accurate inventories of N2O emissions. The objectives of this study were to describe the spatial and temporal distribution of soil N2O flux in a hummocky agricultural landscape, and to understand how soil water and soil temperature control the spatial and temporal patterns of N2O flux. For a hummocky, agricultural landscape in the Dark Brown soil zone of Saskatchewan, N2O flux and related soil variables were measured along a 128-point transect multiple times over two years and concurrently from a 50 point, stratified design over three years. The spatial and temporal variation in N2O flux followed an event-based / background emission pattern. High flux events were triggered by precipitation events and recession of water from wetlands following spring snowmelt. Days with high mean flux were characterized by highly skewed (reverse J-shaped) distributions. High variance and coherency was observed at cultivated wetland elements during emission events. Strong location-dependent positive relationships were found between soil N2O flux and water-filled pore space or soil temperature, related to specific landscape elements. Background emissions were characterized by random variation or cyclic behavior that ranged in scale from 20 to 60 m. Cumulative emissions were highest from cultivated wetlands and basin centers of uncultivated wetlands, although emissions from cultivated wetlands were much more important to total cumulative emissions on an area basis. The results indicate that models intended to estimate N2O flux from these landscapes cannot rely on a single predictive relationship, but will have to incorporate predictive relationships localized at specific landscape elements depending on the time of year. At certain times predictive relationships cannot be used and up-scaled estimates will have to rely on direct measurement of emissions.

This research is intended to serve as an in-depth analysis of air pollution patterns and monitoring networks in the Atlanta area. A ten year database of carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), ozone (O3), and particulate matter (PM2.5 and PM10) measurements at 17 monitoring stations across the Atlanta area was developed for use in this research. Temporal profiles of air pollutants are analyzed and described. Several factors are identified that impact these profiles, including changes in emissions, meteorology, and photochemistry. Most sites exhibited decreasing annual average concentrations during the study period, with the exception of O3 and NOx, both of which initially increased and then decreased. CO, NOx, and SO2 all have the lowest concentrations in the summer months, while O3 and PM2.5 are highest in the summer months. CO, NOx, and SO2 are also slightly lower on the weekends. CO and NOx have peak daily concentrations at rush hour, while O3 and SO2 peak in the afternoon hours. Instrument error was evaluated through audit and calibration data and collocated data. Collocated data is assumed to be a more accurate representation of instrument error; the percent error calculated using collocated data is much higher than that calculated using audit data. Percent errors were similar for all pollutants using audit and calibration data (2-4%) and were similar for all concentration ranges. Percent errors using collocated data were several times larger. Semivariogram plots are developed to quantify spatial variation of air pollutants. These plots can be interpreted to give the fraction of temporal variation in a pollutant that is actually due to spatial variation. As expected, primary pollutants have higher spatial variation than secondary pollutants. Population weighted averages of the semivariogram function are developed to give a level of uncertainty for a pollutant across the study area. Pollution rose plots are developed to qualitatively examine local sources that are impacting the monitoring sites used in this research. Point sources are easily identified in SO2 plots, as are mobile sources in CO and NOx plots. Pollution roses are also corrected for time of day and season to eliminate false sources.

A major part of the terrestrial sediment in the ocean comes from the land via river plume. There are four stages in sediment dispersal from rivers into the sea: supply via plume, initial deposition, resuspension and transport by waves and currents or by the slope failure, and long-term net accumulation. We can understand the dispersion and transport of the river plume by in situ observations of hydrodynamic of the plume field. Therefore, it is helpful to study river plume hydrodynamics, such as winds, tides, waves, and currents. The purpose of this study is to identify the type of plume dynamics by analyzing the temporal and spatial variability of hydrological structures observed around the Gaoping River mouth. We observed the bottom and surface time series of temperature, salinity, turbidity, suspended sediment concentration, and velocity profile by instrument mounted at the tetrapods and a moored buoy during July 28 to 30 in 2009 and July 30 to August 2 in 2011. Besides, we investigated the spatial structures of the river plume in Gaoping River mouth by using a fishing boat in 2009. We also acquired satellite images to assist our study. The results showed that the river discharges during 2009 was lower than daily average discharge. Combined the temporal and spatial observations and satellite images, we determined that the river plume turned west during the ebb tide was influenced by Coriolis force and winds. The buoyancy-driven current velocity was 0.15 m/s and the maximum of wind-driven current velocity was 0.30 m/s. The wind strength index (Ws) determines whether a plume¡¦s along-shelf flow is in a wind-driven or buoyancy-driven state. Ws is the ratio of the wind-driven and buoyancy-driven along-shelf velocities. If |W_s | > 1 on average the wind velocity more than 5.9 m/s. The wind velocity reached this threshold during most of the ebb periods, and around that value in the flood time. Flood currents combined with cross-shore wind pushed the river plume to swing to the east. The data were analyzed by empirical orthogonal function (EOF) analysis. The results indicated that winds and waves were the main factors influencing plume dynamics during low-discharge period. During the field experiment in 2011, the river discharge was greater than daily average discharge. The buoyancy-driven and the maximum of wind-driven current velocities were 0.30 and 0.12 m/s, respectively. The wind velocity did not reach the threshold that was 11.67 m/s. The buoyancy-driven current was more significant than wind-driven current. By analyzing the ocean color of satellite images, the river plume was spreading from the river mouth and toward west during ebb. The time series data also showed that there was plume signal at the same time. The average cross-shore current velocity was 0.52 m/s, being larger than the buoyancy-driven current. Therefore, the tide was the main factor deciding where the plume discharged. The first eigemode of EOF suggested that current was the most important factor influencing plume dynamics during high-discharge period. The second eignmode described the dominant influence of wind.

No description available.

The need for improving nutrient use efficiency and increase savings demand a better knowledge of soils and production systems. The objective of this study was to evaluate the soil P and K budget and its relationships with their temporal evolution on site-specific management areas. The experiments were carried out in four cropland areas from the Medium Plateau region of the Rio Grande do Sul state, located at the cities of Almirante Tamandaré do Sul, Tio Hugo, Não-Me-Toque and Vitor Graeff. Soil tests were used to verify the spatial variability, budget and temporal evolution of soil P and K levels by the comparison of the years of 2005 and 2009. Regression analysis was performed by the software JMP IN v.3.2.1 to evaluate the relationship between P and K budget and the temporal evolution of soil P and K levels. Cropland areas showed high spatial variability for P and K soil test levels at the beginning of the study, which was decreased by applying precision farming techniques. Relationships between P and K budget and the temporal evolution of soil P and K test levels were positive with the exception of the Vitor Graeff area which showed negative P and K budget. P and K fertilization were 30 and 25% higher in relation to their exportation, respectively. On average, soybean extracted 44 kg P2O5 ha-1 and 63 kg K2O ha-1, while the maize exported 78,5 kg P2O5 ha-1 and 59 kg K2O ha-1. Temporal evolution of soil P and K test levels was high when P and K budget was low and there was a low temporal evolution when the P and K budget was high. On the average of the four cropland areas there were necessary the input of 12,0 kg P2O5 ha-1 to increase 1 mg dm-3 of soil P test levels and the input of 4,1 kg K2O ha-1 to increase 1 mg dm-3 of soil K test levels. / A necessidade de aproveitar melhor os insumos e economizá-los na maior medida possível leva à obrigação de conhecer a fundo os solos e sistemas de produção. O objetivo deste trabalho foi avaliar o balanço nutricional de fósforo (P) e potássio (K) no solo e sua relação com a evolução temporal, em áreas manejadas com auxilio da agricultura de precisão. Os experimentos foram conduzidos no Planalto Médio do Rio Grande do Sul, em quatro áreas situadas nos municípios de Almirante Tamandaré do Sul, Tio Hugo, Não-Me-Toque e Vitor Graeff. Por meio da análise das amostras de solo foi verificada a evolução dos teores de P e K comparando os anos de 2005 a 2009. Análises de regressão realizadas pelo software JMP IN v.3.2.1 foram utilizadas para avaliar a relação entre saldo e evolução de P e K. Determinaram-se a variabilidade espacial, o balanço nutricional e a evolução temporal de P e K no solo. As áreas apresentaram no inicio do estudo uma grande variabilidade espacial, as quais foram reduzidas mediante uso de práticas de agricultura de precisão. As relações entre os saldos e as exportações foram positivas em todos os locais com exceção da área situada em Vitor Graeff onde também se obtiveram saldos negativos. As fertilizações fosfatadas e potássicas foram 30 e 25 % superiores em relação as exportações, respectivamente. A soja extraiu em média 44 kg ha-1 de P2O5 e 63 kg ha-1 de K2O já o milho exportou 78,5 kg ha-1 de P2O5 e 59 kg ha-1 de K2O. A evolução dos teores foi alta quando os saldos eram baixos e, baixa quando o saldo se encontrava em níveis altos. Em média para os quatro locais foram necessários aplicar 12,0 kg ha-1 de P2O5 para elevar 1 mg dm- 3 de P no solo, assim como 4,1 kg ha-1 de K2O para elevar 1 mg dm-3 de K no solo.

Made available in DSpace on 2014-06-11T19:33:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2011-03-28Bitstream added on 2014-06-13T19:44:38Z : No. of bitstreams: 1 barbieri_dm_dr_jabo.pdf: 667102 bytes, checksum: e8ac613aecbab460b1be23f4c433c512 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Usina São Domingos Acucar e Alcool S/A / A cana-de-açúcar aparece atualmente no cenário agrícola brasileiro como uma das principais culturas, apresentando-se em grande expansão não somente no Estado de São Paulo, mas também em vários outros estados brasileiros. Devido a esta expansão e a leis federais que regularizam o fim das queimadas nos canaviais, a colheita da cana-de-açúcar vem passando por um momento de transição, deixando de ser realizada de forma manual e com queima do canavial (cana queimada) e passando a ser colhida com máquina e sem queima (cana crua). Com a mudança na forma de colheita uma grande quantidade de palha tem sido deixada sobre o solo, criando no pedoambiente condições que podem causar alterações nas propriedades químicas, físicas e até mesmo nos óxidos de ferro, que são considerados atributos do solo estáveis por longo tempo. Desta forma, o presente trabalho teve como objetivo caracterizar as variações dos atributos químicos, físicos e mineralógicos do solo submetido a dois diferentes tipos de colheita de cana-de-açúcar e determinar a variabilidade espacial destes atributos do solo em áreas de colheita de cana crua e cana queimada. Duas parcelas de aproximadamente um hectare cada foram delimitadas em áreas com cana crua e cana queimada. Foram retiradas, em cada área, amostras de solos em 126 pontos, nas profundidades de 0,0-0,25 e 0,25-0,50 m. As amostras foram submetidas às análises químicas, físicas e mineralógicas. Na profundidade de 0,0-0,25 m foram escolhidos 20 pontos em cada área, os quais foram submetidos à análise do grau de humificação da matéria orgânica do solo. Os resultados das análises foram submetidos às análises da estatística descritiva com teste de comparação de médias, à análise estatística multivariada de agrupamentos e ainda à análise de componentes principais. Posteriormente foram realizadas análises geoestatísticas, obtendo-se... / The sugarcane currently appears in the agricultural scenario as one of the main crops, performing in expansion not only in the state of São Paulo, but also in another several states. Duo to this expansion and the federal laws that regulate the end of fire in the cane fields, the sugarcane harvest is going through a transition moment, ceasing to be held manually and with fire in the fields (burnt cane) and going to be harvested with machinery and without fire (green cane). With the change in the way of harvesting, a large amount of cane straw has been left on the soil surface, creating a new pedoenvironment, which has caused changes in the chemical, physical and even in iron oxides, which are considered stable attributes of the soil for a long time. Thus, this study aimed to characterize the variations in the chemical, physical and mineralogical properties of the soil subjected to two different types of harvesting sugar cane and determine the spatial variability of soil properties in areas of green cane harvesting and burnt cane. Two parcels of approximately one hectare each were defined in areas with green cane and burnt cane. Were taken in each area, soil samples at 126 points in the depths of 0.0-0.25 and 0.25-0.50 m. Those samples were subjected to chemical, physical and mineralogical properties analysis. At a depth of 0.0 to 0.25 m were chosen 20 points in each area, which were subjected to analysis of the degree of humification of soil organic matter. The analysis results were submitted to analysis of descriptive statistics with comparison of means test, the multivariate statistical analysis of clusters and also the principal component analysis. Geostatistical analysis were, thus obtaining the spatial dependence, semivariograms and kriging maps of the attributes studied. To analyze the correlation between the attributes, crossed semivariograms were constructed... (Complete abstract click electronic access below)