148 resultados para streamflow


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La tesi è suddivisa in tre parti. Nella prima parte si descrive il sistema dei canali bolognesi che derivano acqua dal bacino montano del Fiume Reno e dal Torrente Savena, e il sistema di gestione e di monitoraggio utilizzato dal Consorzio dei canali di Reno e Savena. Nella seconda parte si illustra una proposta di sistema di visualizzazione dei dati idro-pluviometrici che si sta valutando, assieme al Presidente del Consorzio e ad Arpa, per il monitor che il Consorzio intende installare al fine di illustrare al pubblico il monitoraggio e l’evoluzione degli eventi di piena e di scarsità idrica/siccità. Nella terza parte, infine, si effettuano la stima e un’analisi della correlazione tra due diversi indici di siccità, meteorologica ed idrologica, per il bacino del Reno chiuso a Casalecchio. Il sistema dell’intero bacino del Reno e della rete dei canali cittadini risulta molto complesso. Vista tale complessità del sistema, si è proposto di distinguere uno scenario di piena e uno scenario di magra. Tra le diverse informazioni da visualizzare nel monitor si intendono anche visualizzare informazioni relative alla disponibilità idrica alla scala del bacino in esame. Per questo è stata svolta l’analisi sugli indici di siccità Standard Precipitation Index (SPI) e Streamflow Drought Index per il bacino del Reno chiuso a Casalecchio . Tali indici hanno portato a dei risultati consistenti con le condizioni idro-metereologiche e con le informazioni sugli impatti al suolo disponibili per alcuni degli eventi più significativi presi in esame. In base ai risultati ottenuti è possibile affermare che gli indici SPI e SDI a scala di bacino hanno una buona correlazione che permette di poter considerare anche la sola caratterizzazione pluviometrica per identificare la situazione della disponibilità idrica del fiume a monte dell’opera di presa del Canale di Reno.

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Water resources are becoming increasingly scarce in the Mt. Kenya region. Land use and climate change may pose additional challenges to water management in the future. In order to assess the impacts of environmental change, the NRM3 Streamflow Model, a simple, semi-distributed, grid-based water balance model, is evaluated as a tool for discharge prediction in six meso-scale catchments on the western slopes of Mt. Kenya, and used to analyse the impact of land use and climate change scenarios on water resources.

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Accurate seasonal to interannual streamflow forecasts based on climate information are critical for optimal management and operation of water resources systems. Considering most water supply systems are multipurpose, operating these systems to meet increasing demand under the growing stresses of climate variability and climate change, population and economic growth, and environmental concerns could be very challenging. This study was to investigate improvement in water resources systems management through the use of seasonal climate forecasts. Hydrological persistence (streamflow and precipitation) and large-scale recurrent oceanic-atmospheric patterns such as the El Niño/Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), the Atlantic Multidecadal Oscillation (AMO), the Pacific North American (PNA), and customized sea surface temperature (SST) indices were investigated for their potential to improve streamflow forecast accuracy and increase forecast lead-time in a river basin in central Texas. First, an ordinal polytomous logistic regression approach is proposed as a means of incorporating multiple predictor variables into a probabilistic forecast model. Forecast performance is assessed through a cross-validation procedure, using distributions-oriented metrics, and implications for decision making are discussed. Results indicate that, of the predictors evaluated, only hydrologic persistence and Pacific Ocean sea surface temperature patterns associated with ENSO and PDO provide forecasts which are statistically better than climatology. Secondly, a class of data mining techniques, known as tree-structured models, is investigated to address the nonlinear dynamics of climate teleconnections and screen promising probabilistic streamflow forecast models for river-reservoir systems. Results show that the tree-structured models can effectively capture the nonlinear features hidden in the data. Skill scores of probabilistic forecasts generated by both classification trees and logistic regression trees indicate that seasonal inflows throughout the system can be predicted with sufficient accuracy to improve water management, especially in the winter and spring seasons in central Texas. Lastly, a simplified two-stage stochastic economic-optimization model was proposed to investigate improvement in water use efficiency and the potential value of using seasonal forecasts, under the assumption of optimal decision making under uncertainty. Model results demonstrate that incorporating the probabilistic inflow forecasts into the optimization model can provide a significant improvement in seasonal water contract benefits over climatology, with lower average deficits (increased reliability) for a given average contract amount, or improved mean contract benefits for a given level of reliability compared to climatology. The results also illustrate the trade-off between the expected contract amount and reliability, i.e., larger contracts can be signed at greater risk.

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Ice sheet thickness is determined mainly by the strength of ice-bed coupling that controls holistic transitions from slow sheet flow to fast streamflow to buttressing shelf flow. Byrd Glacier has the largest ice drainage system in Antarctica and is the fastest ice stream entering Ross Ice Shelf. In 2004 two large subglacial lakes at the head of Byrd Glacier suddenly drained and increased the terminal ice velocity of Byrd Glacier from 820 m yr(-1) to 900 m yr(-1). This resulted in partial ice-bed recoupling above the lakes and partial decoupling along Byrd Glacier. An attempt to quantify this behavior is made using flowband and flowline models in which the controlling variable for ice height above the bed is the floating fraction phi of ice along the flowband and flowline. Changes in phi before and after drainage are obtained from available data, but more reliable data in the map plane are required before Byrd Glacier can be modeled adequately. A holistic sliding velocity is derived that depends on phi, with contributions from ice shearing over coupled beds and ice stretching over uncoupled beds, as is done in state-of-the-art sliding theories.

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Esta tesis realiza una contribución metodológica en el estudio de medidas de adaptación potencialmente adecuadas a largo plazo, donde los sistemas de recursos hídricos experimentan fuertes presiones debido a los efectos del cambio climático. Esta metodología integra el análisis físico del sistema, basándose en el uso de indicadores que valoran el comportamiento de éste, y el análisis económico mediante el uso del valor del agua. El procedimiento metodológico inicia con la construcción de un conjunto de escenarios futuros, que capturan por un lado las características de variabilidad de las aportaciones de diversos modelos climáticos y, por otro, las características hidrológicas de la zona de estudio. Las zonas de estudio seleccionadas fueron las cuencas del Guadalquivir, Duero y Ebro y se utilizaron como datos observados las series de escorrentía en régimen natural estimadas por el modelo SIMPA que está calibrado en la totalidad del territorio español. Estas series observadas corresponden al periodo 1961-1990. Los escenarios futuros construidos representan el periodo 2071-2100. La identificación de medidas de adaptación se apoyó en el uso de indicadores que sean capaces de caracterizar el comportamiento de un sistema de recursos hídricos frente a los efectos del cambio climático. Para ello se seleccionaron los indicadores de calidad de servicio (I1) y de confiabilidad de la demanda (I2) propuestos por Martin-Carrasco et al. (2012). Estos indicadores valoran el comportamiento de un sistema mediante la identificación de los problemas de escasez de agua que presente, y requieren para su cuantificación el uso de un modelo de optimización. Para este estudio se ha trabajado con el modelo de optimización OPTIGES. La determinación de estos indicadores fue realizada para análisis a corto plazo donde los efectos del cambio climático no son de relevancia, por lo que fue necesario analizar su capacidad para ser usados en sistemas afectados por dichos efectos. Para este análisis se seleccionaron tres cuencas españolas: Guadalquivir, Duero y Ebro, determinándose que I2 no es adecuado para este tipo de escenarios. Por ello se propuso un nuevo indicador “Indicador de calidad de servicio bajo cambio climático” (I2p) que mantiene los mismos criterios de valoración que I2 pero que responde mejor bajo fuertes reducciones de aportaciones producto del cambio climático. La metodología propuesta para la identificación de medidas de adaptación se basa en un proceso iterativo en el cual se van afectando diversos elementos que conforman el esquema del sistema bajo acciones de gestión previamente identificadas, hasta llegar a un comportamiento óptimo dado por el gestor. Las mejoras de estas afectaciones son cuantificadas mediante los indicadores I1 e I2p, y de este conjunto de valores se selecciona la que se acerca más al comportamiento óptimo. Debido a la extensa cantidad de información manejada en este análisis, se desarrolló una herramienta de cálculo automatizada en Matlab. El proceso seguido por esta herramienta es: (i) Ejecución del modelo OPTIGES para las diferentes modificaciones por acciones de gestión; (ii) Cálculo de los valores de I1 e I2p para cada una de estas afectaciones; y (iii) Selección de la mejor opción. Este proceso se repite hasta llegar al comportamiento óptimo buscado, permitiendo la identificación de las medidas de adaptación mas adecuadas. La aplicación de la metodología para la identificación de medidas de adaptación se realizó en la cuenca del Guadalquivir, por ser de las tres cuencas analizadas bajo los indicadores I1 e I2p la que presenta los problemas más serios de escasez de agua. Para la identificación de medidas de adaptación se analizaron dos acciones de gestión: 1) incremento de los volúmenes de regulación y 2) reducción de las demandas de riego, primero bajo la valoración del comportamiento físico del sistema (análisis de sensibilidad) permitiendo identificar que la primera acción de gestión no genera cambios importantes en el comportamiento del sistema, que si se presentan bajo la segunda acción. Posteriormente, con la acción que genera cambios importantes en el comportamiento del sistema (segunda acción) se identificaron las medidas de adaptación más adecuadas, mediante el análisis físico y económico del sistema. Se concluyó que en la cuenca del Guadalquivir, la acción de reducción de las demandas de riego permite minimizar e incluso eliminar los problemas de escasez de agua que se presentarían a futuro bajo diferentes proyecciones hidrológicas, aunque estas mejoras implicarían fuertes reducciones en dichas demandas. Siendo las demandas más afectadas aquellas ubicadas en cabecera de cuenca. Los criterios para la reducción de las demandas se encuentran en función de las productividades y garantías con las que son atendidas dichas demandas. This thesis makes a methodological contribution to the study of potentially suitable adaptation measures in the long term, where water resource systems undergo strong pressure due to the effects of climate change. This methodology integrates the physical analysis of the system, by the use of indicators which assess its behavior, and the economic analysis by the use of the value of water. The methodological procedure begins with the building of a set of future scenarios that capture, by one hand, the characteristics and variability of the streamflow of various climate models and, on the other hand, the hydrological characteristics of the study area. The study areas chosen were the Guadalquivir, Ebro and Duero basins, and as observed data where used runoff series in natural regimen estimated by the SIMPA model, which is calibrated in the whole Spanish territory. The observed series are for the 1961-1990 period. The future scenarios built represent the 2071-2100 periods. The identification of adaptation measures relied on the use of indicators that were able of characterize the behavior of one water resource system facing the effects of climate change. Because of that, the Demand Satisfaction Index (I1) and the Demand Reliability Index (I2) proposed by Martin-Carrasco et al. (2012) were selected. These indicators assess the behavior of a system by identifying the water scarcity problems that it presents, and require in order to be quantified the use of one optimization model. For this study the OPTIGES optimization model has been used. The determination of the indicators was made for the short-term analysis where the climates change effect are not relevant, so it was necessary to analyze their capability to be used in systems affected by those these. For this analysis three Spanish basins were selected: Guadalquivir, Duero and Ebro. It was determined that the indicator I2 is not suitable for this type of scenario. It was proposed a new indicator called “Demand Reliability Index under climate change” (I2p), which keeps the same assessment criteria than I2, but responsive under heavy reductions of streamflow due to climate change. The proposed methodology for identifying adaptation measures is based on an iterative process, in which the different elements of the system´s schema are affected by previously defined management actions, until reach an optimal behavior given by the manager. The improvements of affectations are measured by indicators I1 e I2p, and from this set of values it is selected the affectation that is closer to the optimal behavior. Due to the large amount of information managed in this analysis, it was developed an automatic calculation tool in Matlab. The process followed by this tool is: Firstly, it executes the OPTIGES model for the different modifications by management actions; secondly, it calculates the values of I1 e I2p for each of these affectations; and finally it chooses the best option. This process is performed for the different iterations that are required until reach the optimal behavior, allowing to identify the most appropriate adaptation measured. The application of the methodology for the identification of adaptation measures was conducted in the Guadalquivir basin, due to this was from the three basins analyzed under the indicators I1 e I2p, which presents the most serious problems of water scarcity. For the identification of adaptation measures there were analyzed two management actions: 1) To increase the regulation volumes, and 2) to reduce the irrigation demands, first under the assessment of the physical behavior of the system (sensibility analysis), allowing to identify that the first management action does not generate significant changes in the system´s behavior, which there are present under the second management action. Afterwards, with the management action that generates significant changes in the system´s behavior (second management action), there were identified the most adequate adaptation measures, through the physical and economic analysis of the system. It was concluded that in the Guadalquivir basin, the action of reduction of irrigation demands allows to minimize or even eliminate the water scarcity problems that could exist in the future under different hydrologic projections, although this improvements should involve strong reductions of the irrigation demands. Being the most affected demands those located in basins head. The criteria for reducing the demands are based on the productivities and reliabilities with which such demands are meet.

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Una gestión más eficiente y equitativa del agua a escala de cuenca no se puede centrar exclusivamente en el recurso hídrico en sí, sino también en otras políticas y disciplinas científicas. Existe un consenso creciente de que, además de la consideración de las cambiantes condiciones climáticas, es necesaria una integración de ámbitos de investigación tales como la agronomía, planificación del territorio y ciencias políticas y económicas a fin de satisfacer de manera sostenible las demandas de agua por parte de la sociedad y del medio natural. La Política Agrícola Común (PAC) es el principal motor de cambio en las tendencias de paisajes rurales y sistemas agrícolas, pero el deterioro del medio ambiente es ahora una de las principales preocupaciones. Uno de los cambios más relevantes se ha producido con la expansión e intensificación del olivar en España, principalmente con nuevas zonas de regadío o la conversión de olivares de secano a sistemas en regadío. Por otra parte, el cambio de las condiciones climáticas podría ejercer un papel importante en las tendencias negativas de las aportaciones a los ríos, pero no queda claro el papel que podrían estar jugando los cambios de uso de suelo y cobertura vegetal sobre las tendencias negativas de caudal observadas. Esta tesis tiene como objetivo mejorar el conocimiento de los efectos de la producción agrícola, política agraria y cambios de uso de suelo y cobertura vegetal sobre las condiciones de calidad del agua, respuesta hidrológica y apropiación del agua por parte de la sociedad. En primer lugar, el estudio determina las tendencias existentes de nitratos y sólidos en suspensión en las aguas superficiales de la cuenca del río Guadalquivir durante el periodo de 1998 a 2009. Desde una perspectiva de política agraria, la investigación trata de evaluar mediante un análisis de datos de panel las principales variables, incluyendo la reforma de la PAC de 2003, que están teniendo una influencia en ambos indicadores de calidad. En segundo lugar, la apropiación del agua y el nivel de contaminación por nitratos debido a la producción del aceite de oliva en España se determinan con una evaluación de la huella hídrica (HH), teniendo en cuenta una variabilidad espacial y temporal a largo de las provincias españolas y entre 1997 y 2008. Por último, la tesis analiza los efectos de los cambios de uso de suelo y cobertura vegetal sobre las tendencias negativas observadas en la zona alta del Turia, cabecera de la cuenca del río Júcar, durante el periodo 1973-2008 mediante una modelización ecohidrológica. En la cuenca del Guadalquivir cerca del 20% de las estaciones de monitoreo muestran tendencias significativas, lineales o cuadráticas, para cada indicador de calidad de agua. La mayoría de las tendencias significativas en nitratos están aumentando, y la mayoría de tendencias cuadráticas muestran un patrón en forma de U. Los modelos de regresión de datos de panel muestran que las variables más importantes que empeoran ambos indicadores de calidad del agua son la intensificación de biomasa y las exportaciones de ambos indicadores de calidad procedentes de aguas arriba. En regiones en las que el abandono agrícola y/o desintensificación han tenido lugar han mejorado las condiciones de calidad del agua. Para los nitratos, el desacoplamiento de las subvenciones a la agricultura y la reducción de la cuantía de las subvenciones a tierras de regadío subyacen en la reducción observada de la concentración de nitratos. Las medidas de modernización de regadíos y el establecimiento de zonas vulnerables a nitratos reducen la concentración en subcuencas que muestran una tendencia creciente de nitratos. Sin embargo, el efecto de las exportaciones de nitratos procedente de aguas arriba, la intensificación de la biomasa y los precios de los cultivos presentan un mayor peso, explicando la tendencia creciente observada de nitratos. Para los sólidos en suspensión, no queda de forma evidente si el proceso de desacoplamiento ha influido negativa o positivamente. Sin embargo, los mayores valores de las ayudas agrarias aún ligadas a la producción, en particular en zonas de regadío, conllevan un aumento de las tasas de erosión. Aunque la cuenca del Guadalquivir ha aumentado la producción agrícola y la eficiencia del uso del agua, el problema de las altas tasas de erosión aún no ha sido mitigado adecuadamente. El estudio de la huella hídrica (HH) revela que en 1 L de aceite de oliva español más del 99,5% de la HH está relacionado con la producción de la aceituna, mientras que menos del 0,5% se debe a otros componentes, es decir, a la botella, tapón y etiqueta. Durante el período estudiado, la HH verde en secano y en regadío representa alrededor del 72% y 12%, respectivamente, del total de la HH. Las HHs azul y gris representan 6% y 10%, respectivamente. La producción de aceitunas se concentra en regiones con una HH menor por unidad de producto. La producción de aceite de oliva ha aumentado su productividad del agua durante 1997-2008, incentivado por los crecientes precios del aceite, como también lo ha hecho la cantidad de exportaciones de agua virtual. De hecho, las mayores zonas productoras presentan una eficiencia alta del uso y de productividad del agua, así como un menor potencial de contaminación por nitratos. Pero en estas zonas se ve a la vez reflejado un aumento de presión sobre los recursos hídricos locales. El aumento de extracciones de agua subterránea relacionadas con las exportaciones de aceite de oliva podría añadir una mayor presión a la ya estresada cuenca del Guadalquivir, mostrando la necesidad de equilibrar las fuerzas del mercado con los recursos locales disponibles. Los cambios de uso de suelo y cobertura vegetal juegan un papel importante en el balance del agua de la cuenca alta del Turia, pero no son el principal motor que sustenta la reducción observada de caudal. El aumento de la temperatura es el principal factor que explica las mayores tasas de evapotranspiración y la reducción de caudales. Sin embargo, los cambios de uso de suelo y el cambio climático han tenido un efecto compensatorio en la respuesta hidrológica. Por un lado, el caudal se ha visto afectado negativamente por el aumento de la temperatura, mientras que los cambios de uso de suelo y cobertura vegetal han compensado positivamente con una reducción de las tasas de evapotranspiración, gracias a los procesos de disminución de la densidad de matorral y de degradación forestal. El estudio proporciona una visión que fortalece la interdisciplinariedad entre la planificación hidrológica y territorial, destacando la necesidad de incluir las implicaciones de los cambios de uso de suelo y cobertura vegetal en futuros planes hidrológicos. Estos hallazgos son valiosos para la gestión de la cuenca del río Turia, y el enfoque empleado es útil para la determinación del peso de los cambios de uso de suelo y cobertura vegetal en la respuesta hidrológica en otras regiones. ABSTRACT Achieving a more efficient and equitable water management at catchment scale does not only rely on the water resource itself, but also on other policies and scientific knowledge. There is a growing consensus that, in addition to consideration of changing climate conditions, integration with research areas such as agronomy, land use planning and economics and political science is required to meet sustainably the societal and environmental water demands. The Common Agricultural Policy (CAP) is a main driver for trends in rural landscapes and agricultural systems, but environmental deterioration is now a principal concern. One of the most relevant changes has occurred with the expansion and intensification of olive orchards in Spain, taking place mainly with new irrigated areas or with the conversion from rainfed to irrigated systems. Moreover, changing climate conditions might exert a major role on water yield trends, but it remains unclear the role that ongoing land use and land cover changes (LULCC) might have on observed river flow trends. This thesis aims to improve the understanding of the effects of agricultural production, policies and LULCC on water quality conditions, hydrological response and human water appropriation. Firstly, the study determines the existing trends for nitrates and suspended solids in the Guadalquivir river basin’s surface waters (south Spain) during the period from 1998 to 2009. From a policy perspective, the research tries to assess with panel data analysis the main drivers, including the 2003 CAP reform, which are having an influence on both water quality indicators. Secondly, water appropriation and nitrate pollution level originating from the production of olive oil in Spain is determined with a water footprint (WF) assessment, considering a spatial temporal variability across the Spanish provinces and from 1997 to 2008 years. Finally, the thesis analyzes the effects of the LULCC on the observed negative trends over the period 1973-2008 in the Upper Turia basin, headwaters of the Júcar river demarcation (east Spain), with ecohydrological modeling. In the Guadalquivir river basin about 20% of monitoring stations show significant trends, linear or quadratic, for each water quality indicator. Most significant trends of nitrates are augmenting than decreasing, and most significant quadratic terms of both indicators exhibit U-shaped patterns. The panel data models show that the most important drivers that are worsening nitrates and suspended solids in the basin are biomass intensification and exports of both water quality indicators from upland regions. In regions that agricultural abandonment and/or de-intensification have taken place the water quality conditions have improved. For nitrates, the decoupling of agricultural subsidies and the reduction of the amount of subsidies to irrigated land underlie the observed reduction of nitrates concentration. Measures of irrigation modernization and establishment of vulnerable zones to nitrates ameliorate the concentration of nitrates in subbasins showing an increasing trend. However, the effect of nitrates load from upland areas, intensification of biomass and crop prices present a greater weight leading to the final increasing trend in this subbasins group, where annual crops dominate. For suspended solids, there is no clear evidence that decoupling process have influenced negatively or positively. Nevertheless, greater values of subsidies still linked to production, particularly in irrigated regions, lead to increasing erosion rates. Although agricultural production has augmented in the basin and water efficiency in the agricultural sector has improved, the issue of high erosion rates has not yet been properly faced. The water footprint (WF) assessment reveals that for 1 L Spanish olive oil more than 99.5% of the WF is related to the olive fruit production, whereas less than 0.5% is due to other components i.e. bottle, cap and label. Over the studied period, the green WF in rainfed and irrigated systems represents about 72% and 12%, respectively, of the total WF. Blue and grey WFs represent 6% and 10%, respectively. The olive production is concentrated in regions with the smallest WF per unit of product. The olive oil production has increased its apparent water productivity from 1997 to 2008 incentivized by growing trade prices, but also did the amount of virtual water exports. In fact, the largest producing areas present high water use efficiency per product and apparent water productivity as well as less nitrates pollution potential, but this enhances the pressure on the available water resources. Increasing groundwater abstractions related to olive oil exports may add further pressure to the already stressed Guadalquivir basin. This shows the need to balance the market forces with the available local resources. Concerning the effects of LULCC on the Upper Turia basin’s streamflow, LULCC play a significant role on the water balance, but it is not the main driver underpinning the observed reduction on Turia's streamflow. Increasing mean temperature is the main factor supporting larger evapotranspiration rates and streamflow reduction. In fact, LULCC and climate change have had an offsetting effect on the streamflow generation during the study period. While streamflow has been negatively affected by increasing temperature, ongoing LULCC have positively compensated with reduced evapotranspiration rates, thanks to mainly shrubland clearing and forest degradation processes. The research provides insight for strengthening the interdisciplinarity between hydrological and spatial planning, highlighting the need to include the implications of LULCC in future hydrological plans. These findings are valuable for the management of the Turia river basin, as well as a useful approach for the determination of the weight of LULCC on the hydrological response in other regions.

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In this study, the Mean Transit Time and Mixing Model Analysis methods are combined to unravel the runoff generation process of the San Francisco River basin (73.5 km**2) situated on the Amazonian side of the Cordillera Real in the southernmost Andes of Ecuador. The montane basin is covered with cloud forest, sub-páramo, pasture and ferns. Nested sampling was applied for the collection of streamwater samples and discharge measurements in the main tributaries and outlet of the basin, and for the collection of soil and rock water samples. Weekly to biweekly water grab samples were taken at all stations in the period April 2007-November 2008. Hydrometric data, Mean Transit Time and Mixing Model Analysis allowed preliminary evaluation of the processes controlling the runoff in the San Francisco River basin. Results suggest that flow during dry conditions mainly consists of lateral flow through the C-horizon and cracks in the top weathered bedrock layer, and that all subcatchments have an important contribution of this deep water to runoff, no matter whether pristine or deforested. During normal to low precipitation intensities, when antecedent soil moisture conditions favour water infiltration, vertical flow paths to deeper soil horizons with subsequent lateral subsurface flow contribute most to streamflow. Under wet conditions in forested catchments, streamflow is controlled by near surface lateral flow through the organic horizon. Exceptionally, saturation excess overland flow occurs. By absence of the litter layer in pasture, streamflow under wet conditions originates from the A horizon, and overland flow.

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At head of title: "Repair, Evaluation, Maintenance, and Rehabilitation Research Program."

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Includes bibliographical references (p. 30).

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Mode of access: Internet.

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Mode of access: Internet.

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"Prepared for the Illinois Dept. of Natural Resources."

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Shipping list no.: 87-677-P.