1,758 research outputs found
GEF CReW+ República Dominicana : proyecto de saneamiento de Sabana Yegua
No full textEl video muestra el proyecto de rehabilitación de la Planta de Tratamiento de Aguas Residuales de Sabana Yegua, liderado por el Ministerio de Medio Ambiente y Recursos Naturales y financiado por el Fondo para el Medio Ambiente Mundial (GEF) en el marco del Proyecto GEF CReW+. El GEF CReW+ es una iniciativa de cooperación financiada por el GEF e implementada conjuntamente por el Banco Interamericano de Desarrollo (BID) y el Programa de las Naciones Unidas para el Medio Ambiente (PNUMA) en 18 países de la Región del Gran Caribe, como continuación de la exitosa fase previa “El Fondo Regional del Caribe para la Gestión de Aguas Residuales (CReW)” (2011-2017). El proyecto es ejecutado por Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, la Organización de los Estados Americanos (OEA) y la Secretaría del Convenio de Cartagena (CAR/RCU), en representación del BID y el PNUMA, respectivamente, e involucra a los siguientes países: Barbados, Belice, Colombia, Costa Rica, Cuba, República Dominicana, Granada, Guatemala, Guyana, Honduras, Jamaica, México, Panamá, Saint Kitts y Nevis, Santa Lucía, San Vicente y las Granadinas, Surinam y Trinidad y Tobago
GEF CReW+ República Dominicana : proyecto de saneamiento de la Universidad Autónoma de Santo Domingo
No full textEl video muestra el proyecto de rehabilitación de la Planta de Tratamiento de Aguas Residuales de la Universidad Autónoma de Santo Domingo (Recinto Santiago), liderado por el Ministerio de Medio Ambiente y Recursos Naturales y financiado por el Fondo para el Medio Ambiente Mundial (GEF) en el marco del Proyecto GEF CReW+. El GEF CReW+ es una iniciativa de cooperación financiada por el GEF e implementada conjuntamente por el Banco Interamericano de Desarrollo (BID) y el Programa de las Naciones Unidas para el Medio Ambiente (PNUMA) en 18 países de la Región del Gran Caribe, como continuación de la exitosa fase previa “El Fondo Regional del Caribe para la Gestión de Aguas Residuales (CReW)” (2011-2017). El proyecto es ejecutado por Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, la Organización de los Estados Americanos (OEA) y la Secretaría del Convenio de Cartagena (CAR/RCU), en representación del BID y el PNUMA, respectivamente, e involucra a los siguientes países: Barbados, Belice, Colombia, Costa Rica, Cuba, República Dominicana, Granada, Guatemala, Guyana, Honduras, Jamaica, México, Panamá, Saint Kitts y Nevis, Santa Lucía, San Vicente y las Granadinas, Surinam y Trinidad y Tobago
Nexus - GEF CReW+ in República Dominicana : Detailed design for the rehabilitation of Wastewater Treatment Plants with the Nexus Approach
No full textEl informe describe el diseño técnico y estratégico para la rehabilitación de plantas de tratamiento de aguas residuales en la República Dominicana, integrando el Enfoque de Nexo agua–energía–alimentos. Se analizan soluciones orientadas a la eficiencia operativa, la resiliencia climática y la sostenibilidad ambiental, en el marco del programa GEF CReW+
2012 field crew manual
No full textThe SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure
2010 field crew manual
No full textThe SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure
2009 field crew manual
No full textThe SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure
2008 field crew manual
No full textThe SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure
Crew Scheduling Approach to Calculate the Crew Productivity of Flight Schedules
No full textWith cockpit crew costs being the second largest costs of an airline, making optimal use of the available crew is very important. The productivity of the crew is limited by the labor agreement and law regulations, which prevent the crew members from working irregularly or excessively. In this thesis we present several methods to solve the crew scheduling problem as to calculate the crew productivity based on the labor agreements and law regulations.The crew scheduling problem is decomposed into the crew pairing problem and the crew rostering problem. A set covering approach is used to solve the traditional crew pairing problem and a matching algorithm is used to solve the crew pairing problem that arises when we allow flights being retimed. The crew rostering problem is tackled by a minimum cost flow network method and a column generation approach. All the methods are tested on a variety of flight schedules deviating in the number of night flights included.Applied Mathematic
SGS-LTER 2007 field crew manual
No full textThe SGS-LTER research site was established in 1980 by researchers at Colorado State University as part of a network of long-term research sites within the US LTER Network, supported by the National Science Foundation. Scientists within the Natural Resource Ecology Lab, Department of Forest and Rangeland Stewardship, Department of Soil and Crop Sciences, and Biology Department at CSU, California State Fullerton, USDA Agricultural Research Service, University of Northern Colorado, and the University of Wyoming, among others, have contributed to our understanding of the structure and functions of the shortgrass steppe and other diverse ecosystems across the network while maintaining a common mission and sharing expertise, data and infrastructure
Airline reserve crew pairing optimisation
No full textIn an operational airline environment, disturbances to the planned flight schedule cannot be avoided. In the case of crew absences, airlines can employ reserve crews to cover open positions in crew schedules. The airline reserve crew pairing problem is concerned with the determination of optimal airline reserve crew patterns, which are defined by the number, lengths, and start times of reserve crew pairings. Currently, there are no existing solutions that solve the airline reserve crew pairing problem for long-haul cockpit crew.This project addresses the airline reserve crew pairing problem for long-haul cockpit crew. A reserve pattern evaluation model has been developed that uses airline simulations to determine the quality of existing reserve patterns. This evaluation model is used iteratively by four optimisation algorithms that aim to generate optimal reserve patterns. The solutions generated by the algorithms are compared to each other in a number of experiments. Following these experiments, recommendations are made on how the gap between expected reserve demand and scheduled reserve capacity can be minimised.Aerospace Engineerin
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