920 resultados para Hydrologic sciences|Water Resource Management|Environmental engineering
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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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Mode of access: Internet.
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The field of environmental engineering is developing as a result of changing environmental requirements. In response, environmental engineering education (E3) needs to ensure that it provides students with the necessary tools to address these challenges. In this paper the current status and future development of E3 is evaluated based on a questionnaire sent to universities and potential employers of E3 graduates. With increasing demands on environmental quality, the complexity of environmental engineering problems to be solved can be expected to increase. To find solutions environmental engineers will need to work in interdisciplinary teams. Based on the questionnaire there was a broad agreement that the best way to prepare students for these future challenges is to provide them with a fundamental education in basic sciences and related engineering fields. Many exciting developments in the environmental engineering profession will be located at the interface between engineering, science, and society. Aspects of all three areas need to be included in E3 and the student needs to be exposed to the tensions associated with linking the three.
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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.
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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.