893 resultados para Water resource management
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Editorial remarks.-- Open discussion: Using performance indicators to monitor drinking water supply and sewerage services ; Implications of biofuel development for water management and use.-- News of the Network: Reflections of URSEA in Uruguay, 10 years after its creation ; National Environmental Sanitation Strategy of El Salvador.-- Meetings: Workshop on Transboundary Water Cooperation (Buenos Aires, Argentina) ; Importance of the value of water: lessons and challenges (Lima, Peru).-- Internet and WWW News
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Editorial remarks.-- Open discussion: Regulation under the public model of service provision ; Regulatory progress and challenges in Argentina ; Twenty years of SUNASS: development, experience, lessons learned and challenges ; Possible conflict between efficiency and sustainability ; Best practices in regulating State-owned and municipal water utilities.-- News of the Network: Water use charge in the Province of Buenos Aires ; National Drinking Water and Sanitation Sector Policy of Guatemala ; Sanitation Services Modernization Law of Peru ; Internet and WWW News
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Editorial remarks.-- Open discussion: Tariff policies for the achievement of MDGs ; Natural resources within UNASUR ; The human right to water and sanitation.-- Meetings: Tariff and Regulatory Policies ; Transboundary Water Cooperation ; Latinosan III.-- News of the Network: National Water Resources Strategy ; Hydroelectric Development in Chile.-- Internet and WWW News
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La risorsa acqua in zone semi-aride è sottoposta a un'estrema variabilità climatica nello spazio e nel tempo. La gestione della risorsa acqua è quindi soggetta a un insieme di sfide quando i vincoli naturali vengono uniti agli effetti indotti da attività umana come per esempio l'aumento dello sfruttamento dell'acqua di sottosuolo, cambiamento dell'uso del suolo e presenza di infrastruttura mista. Si spera che il cambiamento climatico e l'attività risultanti dallo sviluppo economico, a corto termine aumentino la pressione su un sistema ormai sensibile. Se pianificato e gestito correttamente, lo stoccaggio dell'acqua, nelle sue varie forme, funge come un meccanismo di controllo della variabilità climatica e può potenziare la capacità adattiva. Lo uadi Merguellil è un corso d'acqua a carattere non perenne al centro della Tunisia, più specificamente a est della città di Kairouan. Il Merguellil drena la pioggia sulla dorsale Tunisina insieme al uadi Zeroud e Nebhana, ed è tra i principali fiumi che scorre sulla piana di Kairouan. Lo stoccaggio dell'acqua nel bacino assume diverse forme come i laghi collinari, i terrazzi, acqua di sottosuolo e una diga. Alcune delle opzioni per lo stoccaggio dell'acqua sono state costruite per preservare la risorsa acqua, mantenere la popolazione rurale e mantenere l'equità tra le zone a monte ed a valle ma solitamente non è mai stata fatta un'analisi comprensiva dei "trade-offs" coinvolti in tali sviluppi. Anche se la ricerca è sviluppata in questa zona, finora nessuna analisi ha cercato di combinare le dinamiche del sistema idrologico con scenari gestionali. L'analisi di scenari gestionali consente ai decisori di valutare delle alternative di pianificazione e può incrementare positivamente la loro abilità di creare delle politiche che si basino sulle necessità fisiche ma anche sociali di un particolare sistema. Questo lavoro è un primo passo verso un Sistema di Gestione Integrata della Risorsa Idrica (inglese: IWMR) capace di mettere in prospettiva strategie future su diverse scale. L'uso di uno strumento metodologico illustra le sfide associate nell'affrontare questo compito. In questo caso, un modello WEAP (Water Evaluation and Planning System) è stato sviluppato in collaborazione con partners Tunisini in modo da integrare le conoscenze su processi fisici e valutare diverse tendenze come l'aumento dell'irrigazione o il cambio di alcuni aspetti climatici. Lo strumento ora è disponibile ai ricercatori locali dove potrà essere sviluppato ulteriormente a fine di indirizzare domande più specifiche. Questo lavoro focalizza lo stoccaggio dell'acqua per poter evidenziare le interazioni dinamiche tra le diverse opzioni di stoccaggio nella zona di studio e valutare i "trade-offs" tra di esse. I risultati iniziali dimostrati in questo lavoro sono: - Se lo sfruttamento degli acquiferi fosse ristretto ai livelli delle loro ricarica, la domanda d'acqua dei diversi utilizzatori non sarebbe soddisfatta al 25% dei livelli di consumo attuale. - La tendenza di incremento dell'agricoltura di irrigazione crea un impatto più accentuato nelle risorse di sottosuolo di quello creato da un'ipotetica riduzione della piovosità all'85% - L'aumento del numero di laghi collinari riduce la quantità d'acqua che arriva a valle, allo stesso tempo aumenta la quantità d'acqua "persa" per evaporazione.
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Environmental quality monitoring of water resources is challenged with providing the basis for safeguarding the environment against adverse biological effects of anthropogenic chemical contamination from diffuse and point sources. While current regulatory efforts focus on monitoring and assessing a few legacy chemicals, many more anthropogenic chemicals can be detected simultaneously in our aquatic resources. However, exposure to chemical mixtures does not necessarily translate into adverse biological effects nor clearly shows whether mitigation measures are needed. Thus, the question which mixtures are present and which have associated combined effects becomes central for defining adequate monitoring and assessment strategies. Here we describe the vision of the international, EU-funded project SOLUTIONS, where three routes are explored to link the occurrence of chemical mixtures at specific sites to the assessment of adverse biological combination effects. First of all, multi-residue target and non-target screening techniques covering a broader range of anticipated chemicals co-occurring in the environment are being developed. By improving sensitivity and detection limits for known bioactive compounds of concern, new analytical chemistry data for multiple components can be obtained and used to characterise priority mixtures. This information on chemical occurrence will be used to predict mixture toxicity and to derive combined effect estimates suitable for advancing environmental quality standards. Secondly, bioanalytical tools will be explored to provide aggregate bioactivity measures integrating all components that produce common (adverse) outcomes even for mixtures of varying compositions. The ambition is to provide comprehensive arrays of effect-based tools and trait-based field observations that link multiple chemical exposures to various environmental protection goals more directly and to provide improved in situ observations for impact assessment of mixtures. Thirdly, effect-directed analysis (EDA) will be applied to identify major drivers of mixture toxicity. Refinements of EDA include the use of statistical approaches with monitoring information for guidance of experimental EDA studies. These three approaches will be explored using case studies at the Danube and Rhine river basins as well as rivers of the Iberian Peninsula. The synthesis of findings will be organised to provide guidance for future solution-oriented environmental monitoring and explore more systematic ways to assess mixture exposures and combination effects in future water quality monitoring.
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Growing scarcity, increasing demand and bad management of water resources are causing weighty competition for water and consequently managers are facing more and more pressure in an attempt to satisfy users? requirement. In many regions agriculture is one of the most important users at river basin scale since it concentrates high volumes of water consumption during relatively short periods (irrigation season), with a significant economic, social and environmental impact. The interdisciplinary characteristics of related water resources problems require, as established in the Water Framework Directive 2000/60/EC, an integrated and participative approach to water management and assigns an essential role to economic analysis as a decision support tool. For this reason, a methodology is developed to analyse the economic and environmental implications of water resource management under different scenarios, with a focus on the agricultural sector. This research integrates both economic and hydrologic components in modelling, defining scenarios of water resource management with the goal of preventing critical situations, such as droughts. The model follows the Positive Mathematical Programming (PMP) approach, an innovative methodology successfully used for agricultural policy analysis in the last decade and also applied in several analyses regarding water use in agriculture. This approach has, among others, the very important capability of perfectly calibrating the baseline scenario using a very limited database. However one important disadvantage is its limited capacity to simulate activities non-observed during the reference period but which could be adopted if the scenario changed. To overcome this problem the classical methodology is extended in order to simulate a more realistic farmers? response to new agricultural policies or modified water availability. In this way an economic model has been developed to reproduce the farmers? behaviour within two irrigation districts in the Tiber High Valley. This economic model is then integrated with SIMBAT, an hydrologic model developed for the Tiber basin which allows to simulate the balance between the water volumes available at the Montedoglio dam and the water volumes required by the various irrigation users.
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Mode of access: Internet.
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Water is the very essential livelihood for mankind. The United Nations suggest that each person needs 20-50 litres of water a day to ensure basic needs of drinking, cooking and cleaning. It was also endorsed by the Indian National Water Policy 2002, with the provision that adequate safe drinking water facilities should be provided to the entire population both in urban and in rural areas. About 1.42 million rural habitations in India are affected by chemical contamination. The provision of clean drinking water has been given priority in the Constitution of India, in Article 47 conferring the duty of providing clean drinking water and improving public health standards to the State. Excessive dependence of ground water results in depletion of ground water, water contamination and water borne diseases. Thus, access to safe and reliable water supply is one of the serious concerns in rural water supply programme. Though government takes certain serious steps in addressing the drinking water issues in rural areas, still there is a huge gap between demand and supply. The Draft National Water Policy 2012 also states that Water quality and quantity are interlinked and need to be managed in an integrated manner and with Stakeholder participation. Water Resources Management aims at optimizing the available natural water flows, including surface water and groundwater, to satisfy competing needs. The World Bank also emphasizes on managing water resources, strengthening institutions, identifying and implementing measures of improving water governance and increasing the efficiency of water use. Therefore stakeholders’ participation is viewed important in managing water resources at different levels and range. This paper attempts to reflect up on portray the drinking water issues in rural India, and highlights the significance of Integrated Water Resource Management as the significant part of Millennium Development Goals, and Stakeholders’ participation in water resources management.
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New business and technology platforms are required to sustainably manage urban water resources [1,2]. However, any proposed solutions must be cognisant of security, privacy and other factors that may inhibit adoption and hence impact. The FP7 WISDOM project (funded by the European Commission - GA 619795) aims to achieve a step change in water and energy savings via the integration of innovative Information and Communication Technologies (ICT) frameworks to optimize water distribution networks and to enable change in consumer behavior through innovative demand management and adaptive pricing schemes [1,2,3]. The WISDOM concept centres on the integration of water distribution, sensor monitoring and communication systems coupled with semantic modelling (using ontologies, potentially connected to BIM, to serve as intelligent linkages throughout the entire framework) and control capabilities to provide for near real-time management of urban water resources. Fundamental to this framework are the needs and operational requirements of users and stakeholders at domestic, corporate and city levels and this requires the interoperability of a number of demand and operational models, fed with data from diverse sources such as sensor networks and crowsourced information. This has implications regarding the provenance and trustworthiness of such data and how it can be used in not only the understanding of system and user behaviours, but more importantly in the real-time control of such systems. Adaptive and intelligent analytics will be used to produce decision support systems that will drive the ability to increase the variability of both supply and consumption [3]. This in turn paves the way for adaptive pricing incentives and a greater understanding of the water-energy nexus. This integration is complex and uncertain yet being typical of a cyber-physical system, and its relevance transcends the water resource management domain. The WISDOM framework will be modeled and simulated with initial testing at an experimental facility in France (AQUASIM – a full-scale test-bed facility to study sustainable water management), then deployed and evaluated in in two pilots in Cardiff (UK) and La Spezia (Italy). These demonstrators will evaluate the integrated concept providing insight for wider adoption.
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This study evaluated whether development of the Colorado River system has exceeded sustainability by comparing the trends in water use in the Colorado River. Two sustainable areas were identified in the upper basin and one in the lower-- the mainstream Colorado River, Green and Yampa rivers, and the Little Colorado River. These areas are also high priority recovery areas for four endangered fishes and protected by critical habitat provisions of the ESA. Unfortunately, the endangered fishes are declining because of habitat destruction and non-native species. If increasing water demand causes the fishes to go extinct the few sustainable areas will be lost. It will take careful management of the endangered fishes and water users to ensure these areas are maintained.
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Early water resources modeling efforts were aimed mostly at representing hydrologic processes, but the need for interdisciplinary studies has led to increasing complexity and integration of environmental, social, and economic functions. The gradual shift from merely employing engineering-based simulation models to applying more holistic frameworks is an indicator of promising changes in the traditional paradigm for the application of water resources models, supporting more sustainable management decisions. This dissertation contributes to application of a quantitative-qualitative framework for sustainable water resources management using system dynamics simulation, as well as environmental systems analysis techniques to provide insights for water quality management in the Great Lakes basin. The traditional linear thinking paradigm lacks the mental and organizational framework for sustainable development trajectories, and may lead to quick-fix solutions that fail to address key drivers of water resources problems. To facilitate holistic analysis of water resources systems, systems thinking seeks to understand interactions among the subsystems. System dynamics provides a suitable framework for operationalizing systems thinking and its application to water resources problems by offering useful qualitative tools such as causal loop diagrams (CLD), stock-and-flow diagrams (SFD), and system archetypes. The approach provides a high-level quantitative-qualitative modeling framework for "big-picture" understanding of water resources systems, stakeholder participation, policy analysis, and strategic decision making. While quantitative modeling using extensive computer simulations and optimization is still very important and needed for policy screening, qualitative system dynamics models can improve understanding of general trends and the root causes of problems, and thus promote sustainable water resources decision making. Within the system dynamics framework, a growth and underinvestment (G&U) system archetype governing Lake Allegan's eutrophication problem was hypothesized to explain the system's problematic behavior and identify policy leverage points for mitigation. A system dynamics simulation model was developed to characterize the lake's recovery from its hypereutrophic state and assess a number of proposed total maximum daily load (TMDL) reduction policies, including phosphorus load reductions from point sources (PS) and non-point sources (NPS). It was shown that, for a TMDL plan to be effective, it should be considered a component of a continuous sustainability process, which considers the functionality of dynamic feedback relationships between socio-economic growth, land use change, and environmental conditions. Furthermore, a high-level simulation-optimization framework was developed to guide watershed scale BMP implementation in the Kalamazoo watershed. Agricultural BMPs should be given priority in the watershed in order to facilitate cost-efficient attainment of the Lake Allegan's TP concentration target. However, without adequate support policies, agricultural BMP implementation may adversely affect the agricultural producers. Results from a case study of the Maumee River basin show that coordinated BMP implementation across upstream and downstream watersheds can significantly improve cost efficiency of TP load abatement.