Pressure management in water distribution systems: current status, proposals, and future trends

Pressure management (PM) is commonly used in water distribution systems (WDSs). In the last decade, a strategic objective in the field has been the development of new scientific and technical methods for its implementation. However, due to a lack of systematic analysis of the results obtained in practical cases, progress has not always been reflected in practical actions. To address this problem, this paper provides a comprehensive analysis of the most innovative issues related to PM. The methodology proposed is based on a case-study comparison of qualitative concepts that involves published work from 140 sources. The results include a qualitative analysis covering four aspects: (1) the objectives yielded by PM; (2) types of regulation, including advanced control systems through electronic controllers; (3) new methods for designing districts; and (4) development of optimization models associated with PM. The evolution of the aforementioned four aspects is examined and discussed. Conclusions regarding the current status of each factor are drawn and proposals for future research outlined

Design and Optimization of Power Delivery and Distribution Systems Using Evolutionary Computation Techniques

Nowadays computing platforms consist of a very large number of components that require to be supplied with diferent voltage levels and power requirements. Even a very small platform, like a handheld computer, may contain more than twenty diferent loads and voltage regulators. The power delivery designers of these systems are required to provide, in a very short time, the right power architecture that optimizes the performance, meets electrical specifications plus cost and size targets. The appropriate selection of the architecture and converters directly defines the performance of a given solution. Therefore, the designer needs to be able to evaluate a significant number of options in order to know with good certainty whether the selected solutions meet the size, energy eficiency and cost targets. The design dificulties of selecting the right solution arise due to the wide range of power conversion products provided by diferent manufacturers. These products range from discrete components (to build converters) to complete power conversion modules that employ diferent manufacturing technologies. Consequently, in most cases it is not possible to analyze all the alternatives (combinations of power architectures and converters) that can be built. The designer has to select a limited number of converters in order to simplify the analysis. In this thesis, in order to overcome the mentioned dificulties, a new design methodology for power supply systems is proposed. This methodology integrates evolutionary computation techniques in order to make possible analyzing a large number of possibilities. This exhaustive analysis helps the designer to quickly define a set of feasible solutions and select the best trade-off in performance according to each application. The proposed approach consists of two key steps, one for the automatic generation of architectures and other for the optimized selection of components. In this thesis are detailed the implementation of these two steps. The usefulness of the methodology is corroborated by contrasting the results using real problems and experiments designed to test the limits of the algorithms.

Diagnosing Causes of Water Scarcity in Complex Water Resources Systems and Identifying Risk Management Actions

From the water management perspective, water scarcity is an unacceptable risk of facing water shortages to serve water demands in the near future. Water scarcity may be temporary and related to drought conditions or other accidental situation, or may be permanent and due to deeper causes such as excessive demand growth, lack of infrastructure for water storage or transport, or constraints in water management. Diagnosing the causes of water scarcity in complex water resources systems is a precondition to adopt effective drought risk management actions. In this paper we present four indices which have been developed to evaluate water scarcity. We propose a methodology for interpretation of index values that can lead to conclusions about the reliability and vulnerability of systems to water scarcity, as well as to diagnose their possible causes and to propose solutions. The described methodology was applied to the Ebro river basin, identifying existing and expected problems and possible solutions. System diagnostics, based exclusively on the analysis of index values, were compared with the known reality as perceived by system managers, validating the conclusions in all cases

Application of active heat pulse method with fiber optic temperature sensing for estimation of wetting bulbs and water distribution in drip emitters.

Through the use of the Distributed Fiber Optic Temperature Measurement (DFOT) method, it is possible to measure the temperature in small intervals (on the order of centimeters) for long distances (on the order of kilometers) with a high temporal frequency and great accuracy. The heat pulse method consists of applying a known amount of heat to the soil and monitoring the temperature evolution, which is primarily dependent on the soil moisture content. The use of both methods, which is called the active heat pulse method with fiber optic temperature sensing (AHFO), allows accurate soil moisture content measurements. In order to experimentally study the wetting patterns, i.e. shape, size, and the water distribution, from a drip irrigation emitter, a soil column of 0.5 m of diameter and 0.6 m high was built. Inside the column, a fiber optic cable with a stainless steel sheath was placed forming three concentric helixes of diameters 0.2 m, 0.4 m and 0.6 m, leading to a 148 measurement point network. Before, during, and after the irrigation event, heat pulses were performed supplying electrical power of 20 W/m to the steel. The soil moisture content was measured with a capacitive sensor in one location at depths of 0.1 m, 0.2 m, 0.3 m and 0.4 m during the irrigation. It was also determined by the gravimetric method in several locations and depths before and right after the irrigation. The emitter bulb dimensions and shape evolution was satisfactorily measured during infiltration. Furthermore, some bulb's characteristics difficult to predict (e.g. preferential flow) were detected. The results point out that the AHFO is a useful tool to estimate the wetting pattern of drip irrigation emitters in soil columns and show a high potential for its use in the field.

Performance of pressure control valves and flow meters precision in operational irrigation-water balance accuracy

In pressure irrigation-water distribution networks, pressure regulating devices for controlling the discharged flow rate by irrigation units are needed due to the variability of flow rate. In addition, applied water volume is used controlled operating the valve during a calculated time interval, and assuming constant flow rate. In general, a pressure regulating valve PRV is the commonly used pressure regulating device in a hydrant, which, also, executes the open and close function. A hydrant feeds several irrigation units, requiring a wide range in flow rate. In addition, some flow meters are also available, one as a component of the hydrant and the rest are placed downstream. Every land owner has one flow meter for each group of field plots downstream the hydrant. Its lecture could be used for refining the water balance but its accuracy must be taken into account. Ideal PRV performance would maintain a constant downstream pressure. However, the true performance depends on both upstream pressure and the discharged flow rate. The objective of this work is to asses the influence of the performance on the applied volume during the whole irrigation events in a year. The results of the study have been obtained introducing the flow rate into a PRV model. Variations on flow rate are simulated by taking into account the consequences of variations on climate conditions and also decisions in irrigation operation, such us duration and frequency application. The model comprises continuity, dynamic and energy equations of the components of the PRV.

Probabilistic analysis of water availability for agriculture and associated crop net margins.

Rising water demands are difficult to meet in many regions of the world. In consequence, under meteorological adverse conditions, big economic losses in agriculture can take place. This paper aims to analyze the variability of water shortage in an irrigation district and the effect on farmer?s income. A probabilistic analysis of water availability for agriculture in the irrigation district is performed, through a supply-system simulation approach, considering stochastically generated series of stream-flows. Net margins associated to crop production are as well estimated depending on final water allocations. Net margins are calculated considering either single-crop farming, either a polyculture system. In a polyculture system, crop distribution and water redistribution are calculated through an optimization approach using the General Algebraic Modeling System (GAMS) for several scenarios of irrigation water availability. Expected net margins are obtained by crop and for the optimal crop and water distribution. The maximum expected margins are obtained for the optimal crop combination, followed by the alfalfa monoculture, maize, rice, wheat and finally barley. Water is distributed as follows, from biggest to smallest allocation: rice, alfalfa, maize, wheat and barley.

Land cover dynamics and climate change implications on water resources in South Pacific Costa Rica

Water is fundamental to human life and the availability of freshwater is often a constraint on human welfare and economic development. Consequently, the potential effects of global changes on hydrology and water resources are considered among the most severe and vital ones. Water scarcity is one of the main problems in the rural communities of Central America, as a result of an important degradation of catchment areas and the over-exploitation of aquifers. The present Thesis is focused on two critical aspects of global changes over water resources: (1) the potential effects of climate change on water quantity and (2) the impacts of land cover and land use changes on the hydrological processes and water cycle. Costa Rica is among the few developing countries that have recently achieved a land use transition with a net increase in forest cover. Osa Region in South Pacific Costa Rica is an appealing study site to assess water supply management plans and to measure the effects of deforestation, forest transitions and climate change projections reported in the region. Rural Community Water Supply systems (ASADAS) in Osa are dealing with an increasing demand of freshwater due to the growing population and the change in the way of life in the rural livelihoods. Land cover mosaics which have resulted from the above mentioned processes are characterized by the abandonment of marginal farmland with the spread over these former grasslands of high return crops and the expansion of secondary forests due to reforestation initiatives. These land use changes have a significant impact on runoff generation in priority water-supply catchments in the humid tropics, as evidenced by the analysis of the Tinoco Experimental Catchment in the Southern Pacific area of Costa Rica. The monitoring system assesses the effects of the different land uses on the runoff responses and on the general water cycle of the basin. Runoff responses at plot scale are analyzed for secondary forests, oil palm plantations, forest plantations and grasslands. The Oil palm plantation plot presented the highest runoff coefficient (mean RC=32.6%), twice that measured under grasslands (mean RC=15.3%) and 20-fold greater than in secondary forest (mean RC=1.7%). A Thornthwaite-type water balance is proposed to assess the impact of land cover and climate change scenarios over water availability for rural communities in Osa Region. Climate change projections were obtained by the downscaling of BCM2, CNCM3 and ECHAM5 models. Precipitation and temperature were averaged and conveyed by the A1B, A2 and B1 IPCC climate scenario for 2030, 2060 and 2080. Precipitation simulations exhibit a positive increase during the dry season for the three scenarios and a decrease during the rainy season, with the highest magnitude (up to 25%) by the end of the 21st century under scenario B1. Monthly mean temperature simulations increase for the three scenarios throughout the year with a maximum increase during the dry season of 5% under A1B and A2 scenarios and 4% under B1 scenario. The Thornthwaite-type Water Balance model indicates important decreases of water surplus for the three climate scenarios during the rainy season, with a maximum decrease on May, which under A1B scenario drop up to 20%, under A2 up to 40% and under B1 scenario drop up to almost 60%. Land cover scenarios were created taking into account current land cover dynamics of the region. Land cover scenario 1 projects a deforestation situation, with forests decreasing up to 15% due to urbanization of the upper catchment areas; land cover scenario 2 projects a forest recovery situation where forested areas increase due to grassland abandonment on areas with more than 30% of slope. Deforestation scenario projects an annual water surplus decrease of 15% while the reforestation scenario projects a water surplus increase of almost 25%. This water balance analysis indicates that climate scenarios are equal contributors as land cover scenarios to future water resource estimations.

Metodología de análisis estadístico de roturas en redes de distribución de agua

La presente Tesis plantea una metodología de análisis estadístico de roturas de tubería en redes de distribución de agua, que analiza la relación entre las roturas y la presión de agua y que propone la implantación de una gestión de presiones que reduzca el número de roturas que se producen en dichas redes. Las redes de distribución de agua se deterioran y una de sus graves consecuencias es la aparición de roturas frecuentes en sus tuberías. Las roturas llevan asociados elevados costes sociales, económicos y medioambientales y es por ello por lo que las compañías gestoras del agua tratan de reducirlas en la medida de lo posible. Las redes de distribución de agua se pueden dividir en zonas o sectores que facilitan su control y que pueden ser independientes o aislarse mediante válvulas, como ocurre en las redes de países más desarrollados, o pueden estar intercomunicados hidráulicamente. La implantación de una gestión de presiones suele llevarse a cabo a través de las válvulas reductoras de presión (VPR), que se instalan en las cabeceras de estos sectores y que controlan la presión aguas abajo de la misma, aunque varíe su caudal de entrada. Los métodos más conocidos de la gestión de presiones son la reducción de presiones, que es el control más habitual, el mantenimiento de la presión, la prevención y/o alivio de los aumentos repentinos de presión y el establecimiento de un control por alturas. A partir del año 2005 se empezó a reconocer el efecto de la gestión de presiones sobre la disminución de las roturas. En esta Tesis, se sugiere una gestión de presiones que controle los rangos de los indicadores de la presión de cabecera que más influyan en la probabilidad de roturas de tubería. Así, la presión del agua se caracteriza a través de indicadores obtenidos de la presión registrada en la cabecera de los sectores, debido a que se asume que esta presión es representativa de la presión de operación de todas las tuberías porque las pérdidas de carga son relativamente bajas y las diferencias topográficas se tienen en cuenta en el diseño de los sectores. Y los indicadores de presión, que se pueden definir como el estadístico calculado a partir de las series de la presión de cabecera sobre una ventana de tiempo, pueden proveer la información necesaria para ayudar a la toma de decisiones a los gestores del agua con el fin de reducir las roturas de tubería en las redes de distribución de agua. La primera parte de la metodología que se propone en esta Tesis trata de encontrar los indicadores de presión que influyen más en la probabilidad de roturas de tuberías. Para conocer si un indicador es influyente en la probabilidad de las roturas se comparan las estimaciones de las funciones de distribución acumulada (FDAs) de los indicadores de presiones, considerando dos situaciones: cuando se condicionan a la ocurrencia de una rotura (suceso raro) y cuando se calculan en la situación normal de operación (normal operación). Por lo general, las compañías gestoras cuentan con registros de roturas de los años más recientes y al encontrarse las tuberías enterradas se complica el acceso a la información. Por ello, se propone el uso de funciones de probabilidad que permiten reducir la incertidumbre asociada a los datos registrados. De esta forma, se determinan las funciones de distribución acumuladas (FDAs) de los valores del indicador de la serie de presión (situación normal de operación) y las FDAs de los valores del indicador en el momento de ocurrencia de las roturas (condicionado a las roturas). Si las funciones de distribución provienen de la misma población, no se puede deducir que el indicador claramente influya en la probabilidad de roturas. Sin embargo, si se prueba estadísticamente que las funciones proceden de la misma población, se puede concluir que existe una relación entre el indicador analizado y la ocurrencia de las roturas. Debido a que el número de valores del indicador de la FDA condicionada a las roturas es mucho menor que el número de valores del indicador de la FDA incondicional a las roturas, se generan series aleatorias a partir de los valores de los indicadores con el mismo número de valores que roturas registradas hay. De esta forma, se comparan las FDAs de series aleatorias del indicador con la FDA condicionada a las roturas del mismo indicador y se deduce si el indicador es influyente en la probabilidad de las roturas. Los indicadores de presión pueden depender de unos parámetros. A través de un análisis de sensibilidad y aplicando un test estadístico robusto se determina la situación en la que estos parámetros dan lugar a que el indicador sea más influyente en la probabilidad de las roturas. Al mismo tiempo, los indicadores se pueden calcular en función de dos parámetros de cálculo que se denominan el tiempo de anticipación y el ancho de ventana. El tiempo de anticipación es el tiempo (en horas) entre el final del periodo de computación del indicador de presión y la rotura, y el ancho de ventana es el número de valores de presión que se requieren para calcular el indicador de presión y que es múltiplo de 24 horas debido al comportamiento cíclico diario de la presión. Un análisis de sensibilidad de los parámetros de cálculo explica cuándo los indicadores de presión influyen más en la probabilidad de roturas. En la segunda parte de la metodología se presenta un modelo de diagnóstico bayesiano. Este tipo de modelo forma parte de los modelos estadísticos de prevención de roturas, parten de los datos registrados para establecer patrones de fallo y utilizan el teorema de Bayes para determinar la probabilidad de fallo cuando se condiciona la red a unas determinadas características. Así, a través del teorema de Bayes se comparan la FDA genérica del indicador con la FDA condicionada a las roturas y se determina cuándo la probabilidad de roturas aumenta para ciertos rangos del indicador que se ha inferido como influyente en las roturas. Se determina un ratio de probabilidad (RP) que cuando es superior a la unidad permite distinguir cuándo la probabilidad de roturas incrementa para determinados intervalos del indicador. La primera parte de la metodología se aplica a la red de distribución de la Comunidad de Madrid (España) y a la red de distribución de Ciudad de Panamá (Panamá). Tras el filtrado de datos se deduce que se puede aplicar la metodología en 15 sectores en la Comunidad de Madrid y en dos sectores, llamados corregimientos, en Ciudad de Panamá. Los resultados demuestran que en las dos redes los indicadores más influyentes en la probabilidad de las roturas son el rango de la presión, que supone la diferencia entre la presión máxima y la presión mínima, y la variabilidad de la presión, que considera la propiedad estadística de la desviación típica. Se trata, por tanto, de indicadores que hacen referencia a la dispersión de los datos, a la persistencia de la variación de la presión y que se puede asimilar en resistencia de materiales a la fatiga. La segunda parte de la metodología se ha aplicado a los indicadores influyentes en la probabilidad de las roturas de la Comunidad de Madrid y se ha deducido que la probabilidad de roturas aumenta para valores extremos del indicador del rango de la presión y del indicador de la variabilidad de la presión. Finalmente, se recomienda una gestión de presiones que limite los intervalos de los indicadores influyentes en la probabilidad de roturas que incrementen dicha probabilidad. La metodología propuesta puede aplicarse a otras redes de distribución y puede ayudar a las compañías gestoras a reducir el número de fallos en el sistema a través de la gestión de presiones. This Thesis presents a methodology for the statistical analysis of pipe breaks in water distribution networks. The methodology studies the relationship between pipe breaks and water pressure, and proposes a pressure management procedure to reduce the number of breaks that occur in such networks. One of the manifestations of the deterioration of water supply systems is frequent pipe breaks. System failures are one of the major challenges faced by water utilities, due to their associated social, economic and environmental costs. For all these reasons, water utilities aim at reducing the problem of break occurrence to as great an extent as possible. Water distribution networks can be divided into areas or sectors, which facilitates the control of the network. These areas may be independent or isolated by valves, as it usually happens in developing countries. Alternatively, they can be hydraulically interconnected. The implementation of pressure management strategies is usually carried out through pressure-reducing valves (PRV). These valves are installed at the head of the sectors and, although the inflow may vary significantly, they control the downstream pressure. The most popular methods of pressure management consist of pressure reduction, which is the common form of control, pressure sustaining, prevention and/or alleviation of pressure surges or large variations in pressure, and level/altitude control. From 2005 onwards, the effects of pressure management on burst frequencies have become more widely recognized in the technical literature. This thesis suggests a pressure management that controls the pressure indicator ranges most influential on the probability of pipe breaks. Operating pressure in a sector is characterized by means of a pressure indicator at the head of the DMA, as head losses are relatively small and topographical differences were accounted for at the design stage. The pressure indicator, which may be defined as the calculated statistic from the time series of pressure head over a specific time window, may provide necessary information to help water utilities to make decisions to reduce pipe breaks in water distribution networks. The first part of the methodology presented in this Thesis provides the pressure indicators which have the greatest impact on the probability of pipe breaks to be determined. In order to know whether a pressure indicator influences the probability of pipe breaks, the proposed methodology compares estimates of cumulative distribution functions (CDFs) of a pressure indicator through consideration of two situations: when they are conditioned to the occurrence of a pipe break (a rare event), and when they are not (a normal operation). Water utilities usually have a history of failures limited to recent periods of time, and it is difficult to have access to precise information in an underground network. Therefore, the use of distribution functions to address such imprecision of recorded data is proposed. Cumulative distribution functions (CDFs) derived from the time series of pressure indicators (normal operation) and CDFs of indicator values at times coincident with a reported pipe break (conditioned to breaks) are compared. If all estimated CDFs are drawn from the same population, there is no reason to infer that the studied indicator clearly influences the probability of the rare event. However, when it is statistically proven that the estimated CDFs do not come from the same population, the analysed indicator may have an influence on the occurrence of pipe breaks. Due to the fact that the number of indicator values used to estimate the CDF conditioned to breaks is much lower in comparison with the number of indicator values to estimate the CDF of the unconditional pressure series, and that the obtained results depend on the size of the compared samples, CDFs from random sets of the same size sampled from the unconditional indicator values are estimated. Therefore, the comparison between the estimated CDFs of random sets of the indicator and the estimated CDF conditioned to breaks allows knowledge of if the indicator is influential on the probability of pipe breaks. Pressure indicators depend on various parameters. Sensitivity analysis and a robust statistical test allow determining the indicator for which these parameters result most influential on the probability of pipe breaks. At the same time, indicators can be calculated according to two model parameters, named as the anticipation time and the window width. The anticipation time refers to the time (hours) between the end of the period for the computation of the pressure indicator and the break. The window width is the number of instantaneous pressure values required to calculate the pressure indicator and is multiple of 24 hours, as water pressure has a cyclical behaviour which lasts one day. A sensitivity analysis of the model parameters explains when the pressure indicator is more influential on the probability of pipe breaks. The second part of the methodology presents a Bayesian diagnostic model. This kind of model belongs to the class of statistical predictive models, which are based on historical data, represent break behavior and patterns in water mains, and use the Bayes’ theorem to condition the probability of failure to specific system characteristics. The Bayes’ theorem allows comparing the break-conditioned FDA and the unconditional FDA of the indicators and determining when the probability of pipe breaks increases for certain pressure indicator ranges. A defined probability ratio provides a measure to establish whether the probability of breaks increases for certain ranges of the pressure indicator. The first part of the methodology is applied to the water distribution network of Madrid (Spain) and to the water distribution network of Panama City (Panama). The data filtering method suggests that the methodology can be applied to 15 sectors in Madrid and to two areas in Panama City. The results show that, in both systems, the most influential indicators on the probability of pipe breaks are the pressure range, which is the difference between the maximum pressure and the minimum pressure, and pressure variability, referred to the statistical property of the standard deviation. Therefore, they represent the dispersion of the data, the persistence of the variation in pressure and may be related to the fatigue in material resistance. The second part of the methodology has been applied to the influential indicators on the probability of pipe breaks in the water distribution network of Madrid. The main conclusion is that the probability of pipe breaks increases for the extreme values of the pressure range indicator and of the pressure variability indicator. Finally, a pressure management which limits the ranges of the pressure indicators influential on the probability of pipe breaks that increase such probability is recommended. The methodology presented here is general, may be applied to other water distribution networks, and could help water utilities reduce the number of system failures through pressure management.

Evaluación del uso y de productividad del agua de la Comunidad de Regantes “Río Adaja”

El agua de riego en España se ha reducido del 80 % al 70% tras la rehabilitación de los sistemas tradicionales de riego y el incremento de riegos a presión. La política española ha favorecido la creación de nuevos regadíos con fines sociales, para asentar a la población rural en zonas con disponibilidad de recursos hídricos. Este contexto es aplicable a la Comunidad de Regantes “Rio Adaja” (CCRR), que comenzó a funcionar en 2010 por lo que se la ha elegido para evaluar el uso y productividad del agua y manejo del riego en CCRR modernizadas de la cuenca del Duero. El estudio del manejo del riego se realizó con evaluaciones de campo, el primer año de funcionamiento, en una muestra de sistemas de riego (pivotes centrales, ramales de avance frontal, cobertura total) representativa de los sistemas predominantes en la CCRR. Además, se analizó la carta de riego propuesta por el fabricante de los pivotes centrales, considerando una distribución de caudal continua a lo largo del ramal, y se propuso una nueva carta con emisores de riego que mejoraban la uniformidad de aplicación del agua. El uso del agua en la CCRR se evaluó considerando tanto los indicadores de eficiencia del riego: suministro relativo de riego (anual relative irrigation supply, ARIS), suministro relativo del agua (anual relativewater supply, ARWS), suministro relativo de precipitación (rainfall relative supply, RRS) como los de productividad: productividad del agua (water productivity, WP) productividad del agua de riego (irrigation water productivity, IWP) y productividad de la evapotranspiración (evapotranspiration water productivity, ETWP). Primero, se determinaron: las necesidades hídricas de los cultivos para mantener un contenido de humedad óptimo en su zona radical, el coeficiente dual del cultivo, el agua disponible total (ADP) y agua fácilmente aprovechable (AFA). Después, se estimaron las necesidades hídricas de los cultivos considerando tres años tipo: húmedo, normal y seco correspondientes a la probabilidad de disponibilidad de la precipitación del 20, 50 y 80%, respectivamente. Así mismo, se realizó una encuesta a los regantes de la CCRR para conocer la dosis de riego y rendimiento anual de los cultivos principales durante sus tres años de funcionamiento: 2010-2011, 2011-2012 y 2012-2013.Finalmente, se simuló el efecto del riego y su manejo en la producción de los cultivos y en la productividad del agua. Además, el modelo de simulación AQUACROP (Geerts et al., 2010) se ha utilizado para estudiar la mejora del uso del agua de los cultivos de la CCRR. Dado que este modelo requiere de calibración específica para cada cultivo y cada zona y dado que, de todos los cultivos de la CCRR, sólo el girasol cumplía el requisito, este cultivo fue elegido para estudiar si la estrategia de riego deficitario mejoraría el uso del agua. Los resultados obtenidos indican que el 90% de los sistemas de riego evaluados distribuye el agua con una uniformidad adecuada (CUC≥75%). La simulación de la distribución del agua con las cartas de riego propuestas por el fabricante en pivotes centrales resultó en coeficientes CUC< 75% y sus valores mejoraban al eliminar el aspersor distal. La uniformidad del riego mejoraría si se trabajase con la carta de riego propuesta y que se compone por emisores de riego seleccionados en este estudio. En la mayoría de los cultivos, se aplicó riegos deficitarios (ARIS < 1 en los dos primeros años de funcionamiento de la CCRR y riegos excedentarios (ARIS > 1) el tercer año siendo significativas las diferencias observadas. El manejo del riego fue bueno (0,9 ≤ ARWS ≤1,2) en la mayoría de los cultivos. Así mismo, los indicadores de productividad del agua (WP e IWP (€.m-3)) varió entre cultivos y años estudiados y, destacan los valores observados en: cebolla, patata, zanahoria y cebada. En general, la productividad del agua en los riegos deficitarios fue mayor observándose además, que los índices de productividad mayores correspondieron al año con precipitación mayor aunque, las diferencias entre sus valores medios no fueron significativas en las tres campañas de riego estudiadas. Los resultados apuntan a que la metodología del balance hídrico y las herramientas presentadas en este trabajo (uniformidad de distribución de agua, indicadores de eficiencia del uso de agua y de su productividad) son adecuadas para estudiar el manejo del agua en CCRR. En concreto, la uniformidad en la aplicación del agua de la CCRR mejoraría seleccionando emisores de riego que proporcionen una mayor uniformidad de distribución del agua, lo que conllevaría a cambiar el diámetro de la boquilla de los emisores y/o eliminar el aspersor distal. Así mismo, puede ser de interés adoptar estrategias de riego deficitario para incrementar la productividad en el uso del agua, y las rentas de los regantes, para lo cual se propone utilizar un patrón de cultivos de referencia. Finalmente, el riego deficitario puede ser una estrategia para mejorar la eficiencia y productividad en el uso del agua de la CCRR siempre que lleve asociado un manejo del riego adecuado que resulta, relativamente, más fácil cuando se dispone de sistemas de riego con una uniformidad de aplicación alta. Sin embargo su aplicación no sería aconsejable en los cultivos de remolacha azucarera, regado con sistemas de riego con un coeficiente de uniformidad de Christiansen CUC < 75%, y maíz, regado con sistemas de riego con un coeficiente de uniformidad de Christiansen CUC < 65%. ABSTRACT The irrigation scheme modernization and the increase of sprinkler irrigation area have reduced the irrigation water use from 80 to 70%. The national irrigation policy favored the creation of new irrigation schemes with the purpose to settle the rural population in areas with availability in water resources. Within this context, the irrigation district “Río Adaja” (CCRR) started in 2010 so, it has been chosen as a case study to evaluate the water use and the irrigation management in a modernized CCRR. Several field evaluations were carried out during the first operation year, in a sample of irrigation systems (center pivot, moving lateral and solid set) selected among all the systems in the CCRR. Likewise, the manufacturer irrigation chart for the center pivot systems has been considered and the pressure and discharge distribution along the pivot have been estimated, assuming a continuous flow along the pipe. Then; the sprinkler nozzles were selected order to increase the uniformity on water application. The water use in the CCRR has been assessed by considering the water use efficiency indicators: annual relative irrigation supply (ARIS), annual relative water supply (ARWS), relative rainfall supply (RRS) and also the productivity indicators: water productivity (WP), irrigation water productivity (IWP) and evapotranspiration water productivity (ETWP). On the one hand, it has been determined the crop water requirement (to maintain the optimal soil water content in the rooting zone), the dual crop coefficient, the total available water and the readily available water. The crop water requirement was estimated by considering the typical wet, normal and dry years which correspond to the probability of effective precipitation exceedance of 20, 50 and 80%, respectively. On the other hand, the irrigation depth and crop yield by irrigation campaign have been considered for the main crops in the area. This information was obtained from a farmer’s survey in 2010-2011, 2011-2012 and 2012-2013. For sunflower, the irrigation effect and its management on the crop yield and water productivity have been simulated. Also a deficit irrigation strategy, which improves the water resources, has been determined by means of AQUACROP (FAO). The results showed that 90% of the evaluated irrigation systems have adequate irrigation water application uniformity (CUC ≥ 75%). The CUC values in center pivots, which were calculated using the manufacturer irrigation chart, are below < 75% . However, these values would increase with the change of emitter nozzle to the proposed nozzles selection. The results on water use showed a deficit irrigation management (ARIS < 1), in most of crops during the first two operation years, and an excess in irrigation for the third year (ARIS > 1) although non-significant difference was observed. In most cases, the management of irrigation is adequate (0,9≤ ARWS≤ 1,2) although there are differences among crops. Likewise, the productivity indicators (WP and IWP (€.m-3)) varied among crops and with irrigation events. The highest values corresponded to onion, potato, carrot and barley. The values for deficit irrigation were the highest and the productivity indicators increased the year with the highest effective precipitation. Nevertheless, the differences between the average values of these indicators by irrigation campaign were non-significant. This study highlights that the soil water balance methodology and other tools used in the methodology are adequate to study the use and productivity of water in the irrigation district. In fact, the water use in this CCRR can be improved if the irrigation systems were designed with higher water distribution uniformity what would require the change of sprinkler nozzles and/or eliminate the end gun. Likewise, it is advisable to set up deficit irrigation strategies to increase the water productivity taking into account certain limits on water application uniformities. In this respect, a reference cropping pattern has been proposed and the limits for water uniformity have been calculated for several crops.

Operational water balance in irrigation districts

In pressure irrigation-water distribution networks, applied water volume is usually controlled opening a valve during a calculated time interval, and assuming constant flow rate. In general, pressure regulating devices for controlling the discharged flow rate by irrigation units are needed due to the variability of pressure conditions.

Tratamientos avanzados de agua potable para eliminación de materia orgánica disuelta : aplicación del BAC

Los procesos de biofiltración por carbón activo biológico se han utilizado desde hace décadas, primeramente en Europa y después en Norte América, sin embargo no hay parámetros de diseño y operación específicos que se puedan utilizar de guía para la biofiltración. Además, el factor coste a la hora de elegir el carbón activo como medio de filtración impacta en el presupuesto, debido al elevado coste de inversión y de regeneración. A la hora de diseñar y operar filtros de carbón activo los requisitos que comúnmente se buscan son eliminar materia orgánica, olor, y sabor de agua. Dentro de la eliminación de materia orgánica se precisa la eliminación necesaria para evitar subproductos en la desinfección no deseados, y reducir los niveles de carbono orgánico disuelto biodegradable y asimilable a valores que consigan la bioestabilidad del agua producto, a fin de evitar recrecimiento de biofilm en las redes de distribución. El ozono se ha utilizado durante años como un oxidante previo a la biofiltración para reducir el olor, sabor, y color del agua, oxidando la materia orgánica convirtiendo los compuestos no biodegradables y lentamente biodegradables en biodegradables, consiguiendo que puedan ser posteriormente eliminados biológicamente en los filtros de carbón activo. Sin embargo la inestabilidad del ozono en el agua hace que se produzcan ácidos carboxilos, alcoholes y aldehídos, conocidos como subproductos de la desinfección. Con esta tesis se pretende dar respuesta principalmente a los siguientes objetivos: análisis de parámetros requeridos para el diseño de los filtros de carbón activo biológicos, necesidades de ozonización previa a la filtración, y comportamiento de la biofiltración en un sistema compuesto de coagulación sobre un filtro de carbón activo biológico. Los resultados obtenidos muestran que la biofiltración es un proceso que encaja perfectamente con los parámetros de diseño de plantas con filtración convencional. Aunque la capacidad de eliminación de materia orgánica se reduce a medida que el filtro se satura y entra en la fase biológica, la biodegradación en esta fase se mantienen estable y perdura a lo lago de los meses sin preocupaciones por la regeneración del carbón. Los valores de carbono orgánico disuelto biodegradable se mantienen por debajo de los marcados en la literatura existente para agua bioestable, lo que hace innecesaria la dosificación de ozono previa a la biofiltración. La adición de la coagulación con la corrección de pH sobre el carbón activo consigue una mejora en la reducción de la materia orgánica, sin afectar a la biodegradación del carbón activo, cumpliendo también con los requerimientos de turbidez a la salida de filtración. Lo que plantea importantes ventajas para el proceso. Granular activated carbon filters have been used for many years to treat and produce drinking water using the adsorption capacity of carbon, replacing it once the carbon lost its adsorption capacity and became saturated. On the other hand, biological activated carbon filters have been studied for decades, firstly in Europe and subsequently in North America, nevertheless are no generally accepted design and operational parameters documented to be used as design guidance for biofiltration. Perhaps this is because of the cost factor; to choose activated carbon as a filtration media requires a significant investment due to the high capital and regeneration costs. When activated carbon filters are typically required it is for the reduction of an organic load, removal of colour, taste and / or odour. In terms of organic matter reduction, the primary aim is to achieve as much removal as possible to reduce or avoid the introduction of disinfection by products, the required removal in biodegradable dissolved organic carbon and assimilable organic carbon to produce a biologically stable potable water which prohibits the regrowth of biofilm in the distribution systems. The ozone has historically been used as an oxidant to reduce colour, taste and odour by oxidizing the organic matter and increasing the biodegradability of the organic matter, enhancing the effectiveness of organic removal in downstream biological activated carbon filters. Unfortunately, ozone is unstable in water and reacts with organic matter producing carboxylic acids, alcohols, and aldehydes, known as disinfection by products. This thesis has the following objectives: determination of the required parameters for the design of the biological activated filters, the requirement of ozonization as a pre-treatment for the biological activated filters, and a performance assessment of biofiltration when coagulation is applied as a pretreatment for biological activated carbon filters. The results show that the process design parameters of biofiltration are compatible with those of conventional filtration. The organic matter removal reduces its effectiveness as soon as the filter is saturated and the biological stage starts, but the biodegradation continues steadily and lasts for a long period of time without the need of carbon regeneration. The removal of the biodegradable dissolved organic carbon is enough to produce a biostable water according to the values shown on the existing literature; therefore ozone is not required prior to the filtration. Furthermore, the addition of coagulant and pH control before the biological activated carbon filter achieves a additional removal of organic matter, without affecting the biodegradation that occurs in the activated carbon whilst also complying with the required turbidity removal.

Coastal Urban Flood Resislience versus Climate Change

Processes of founding and expanding cities in coastal areas have undergone great changes over time driven by environmental conditions. Coastal settlements looked for places above flood levels and away from swamps and other wetlands whenever possible. As populations grew, cities were extending trying to avoid low and wet lands. No city has been able to limit its growth. The risk of flooding can never be eliminated, but only reduced to the extent possible. Flooding of coastal areas is today dramatically attributed to eustasic sea level rise caused by global climate change. This can be inaccurate. Current climate change is generating an average sea level upward trend, but other regional and local factors result in this trend being accentuated in some places or attenuated, and even reversed, in others. Then, the intensity and frequency of coastal flooding around the planet, although not so much as a unique result of this general eustasic elevation, but rather of the superposition of marine and crustal dynamic elements, the former also climate-related, which give rise to a temporary raising in average sea level in the short term. Since the Little Ice Age the planet has been suffering a global warming change leading to sea level rise. The idea of being too obeying to anthropogenic factors may be attributed to Arrhenius (1896), though it is of much later highlight after the sixties of the last century. Never before, the human factor had been able of such an influence on climate. However, other types of changes in sea levels became apparent, resulting from vertical movements of the crust, modifications of sea basins due to continents fracturing, drifting and coming together, or to different types of climate patterns. Coastal zones are then doubly susceptible to floods. Precipitation immediately triggers pluvial flooding. If it continues upland or when snow and glaciers melt eventually fluvial flooding can occur. The urban development presence represents modifying factors. Additional interference is caused by river and waste water drainage systems. Climate also influences sea levels in coastal areas, where tides as well as the structure and dynamic of the geoid and its crust come into play. From the sea, waters can flood and break or push back berms and other coastline borders. The sea level, controlling the mouth of the main channel of the basin's drainage system, is ultimately what governs flood levels. A temporary rise in sea level acts as a dam at the mouth. Even in absence of that global change, so, floods are likely going to increase in many urban coastal areas. Some kind of innovative methodologies and practices should be needed to get more flood resilience cities

Propuesta metodológica para la identificación de medidas de adaptación al cambio climático en sistemas de recursos hídricos

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.

Spatial variability patterns of some Vertisol properties at a field scale using standardized data

Spatial variability of Vertisol properties is relevant for identifying those zones with physical degradation. In this sense, one has to face the problem of identifying the origin and distribution of spatial variability patterns. The objectives of the present work were (i) to quantify the spatial structure of different physical properties collected from a Vertisol, (ii) to search for potential correlations between different spatial patterns and (iii) to identify relevant components through multivariate spatial analysis. The study was conducted on a Vertisol (Typic Hapludert) dedicated to sugarcane (Saccharum officinarum L.) production during the last sixty years. We used six soil properties collected from a squared grid (225 points) (penetrometer resistance (PR), total porosity, fragmentation dimension (Df), vertical electrical conductivity (ECv), horizontal electrical conductivity (ECh) and soil water content (WC)). All the original data sets were z-transformed before geostatistical analysis. Three different types of semivariogram models were necessary for fitting individual experimental semivariograms. This suggests the different natures of spatial variability patterns. Soil water content rendered the largest nugget effect (C0 = 0.933) while soil total porosity showed the largest range of spatial correlation (A = 43.92 m). The bivariate geostatistical analysis also rendered significant cross-semivariance between different paired soil properties. However, four different semivariogram models were required in that case. This indicates an underlying co-regionalization between different soil properties, which is of interest for delineating management zones within sugarcane fields. Cross-semivariograms showed larger correlation ranges than individual, univariate, semivariograms (A ≥ 29 m). All the findings were supported by multivariate spatial analysis, which showed the influence of soil tillage operations, harvesting machinery and irrigation water distribution on the status of the investigated area.

InfIuence of wave induced second-order forces in semisubmersible fowt mooring design

The main focus of this paper is on hydrodynamic modelling of a semisubmersible platform (which can support a 1.5MW wind turbine and is composed by three buoyant columns connected by bracings) with especial emphasis on the estimation of the wave drift components and their effects on the design of the mooring system. Indeed, with natural periods of drift around 60 seconds, accurate computation of the low-frequency second-order components is not a straightforward task. As methods usually adopted when dealing with the slow-drifts of deep-water moored systems, such as Newman?s approximation, have their errors increased by the relatively low resonant periods, and as the effects of depth cannot be ignored, the wave diffraction analysis must be based on full Quadratic Transfer Functions (QTF) computations. A discussion on the numerical aspects of performing such computations is presented, making use of the second-order module available with the seakeeping software WAMIT®. Finally, the paper also provides a preliminary verification of the accuracy of the numerical predictions based on the results obtained in a series of model tests with the structure fixed in bichromatic waves.