Se encontraron 19 investigaciones
Los impactos del retroceso glaciar ponen en riesgo la seguridad hídrica para la subsistencia humana y los ecosistemas. En regiones como el Perú, los procesos y conexiones entre el cambio climático, el derretimiento de los glaciares, la seguridad hídrica y la capacidad de adaptación local son multidimensionales y poco comprendidos. Por lo tanto, entender estos procesos, sus impactos e implementar estrategias adecuadas de adaptación para un futuro incierto, basadas en la ciencia, requieren un enfoque integrado e interdisciplinario. El Proyecto RAHU propone abordar estos desafíos mediante el desarrollo de un modelo integrado para mejorar la toma de decisiones en el Perú. Se ha reunido un consorcio de larga trayectoria a nivel mundial: el Centro de Investigación y Tecnología del Agua, de la Universidad de Ingeniería y Tecnología, la Universidad Nacional de San Antonio Abad del Cusco, Imperial College London, la Universidad de Birmingham, el Servicio Nacional de Meteorología e Hidrología del Perú ¿ Senamhi, y el Consorcio para el Desarrollo de la Ecorregión Andina ¿ CONDESAN, que trabajará para mejorar la disponibilidad y calidad de datos y la construcción de nuevos modelos hidro-glaciológicos. Este proyecto se desarrolla gracias al financiamiento del fondo Newton-Paulet creado en colaboración del Natural Environment Research Council (NERC) y el Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC), dentro de su programa ¿Círculos de Investigación en Glaciares¿, por un periodo aproximado de 3 años.
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Glacier retreat in the Andes of Peru has led to widespread downstream impacts affecting mountain water security of social-ecological systems. In some catchments, the retreat of ice and subsequent uncovering, weathering and mineral leaching of rocks and sediments can lead to considerable acidification of water bodies, a natural process commonly known as acid rock drainage (ARD). ARD can severely affect downstream biota and human health. However, this phenomenon has barely been investigated and not yet been included in public policies for adaptive water management. Until date, no systematic observations and process understanding exist in the Andes of Peru and beyond which disentangle the links between specific catchment characteristics, long-term glacier retreat, changes in water quality and impacts on human health. This case study addresses the glacier-water-health nexus in the peasant communities of Canray Grande and Cordillera Blanca in the Negro-Olleros river catchment (NORC, Cordillera Blanca - Peru). Therefore, an interdisciplinary team of early-career researchers at Pontificia Universidad Católica del Perú (PUCP) and Universidad Peruana Cayetano Heredia (UPCH) will be using a diverse set of in-situ and remote sensing monitoring strategies, mapping and modelling techniques combined with qualitative assessments and participatory methods. Our research includes the following activities: (a) map geological and geomorphological units; (b) map multitemporal surface changes of glaciers and water bodies; (c) conduct quantitative and qualitative water quality analyses; (d) build a baseline of human health statistics; (e) propose feasible adaptation strategies; and (f) disseminate interactive results among stakeholders. The project aims to create locally and internationally relevant outcomes to improved understanding of climate change impacts in social-ecological systems and feasible long-term strategies for adaptive management and policy.
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Global freshwater systems are critically threatened by environmental change and over-exploitation, stressing the need for novel, transformative solutions. Because of the diversity and complexity of social-hydrological systems, such solutions need to be informed by solid scientific evidence as well as tailored to local realities, knowledge, and practices. The current generation of reanalysis systems struggle to produce evidence that is accurate, tailored, and actionable at the local scale. We will develop a transformational framework to support local knowledge coproduction and its integration, together with existing and other emerging data sources, in global water system models. We will focus on three knowledge sources that are currently underrepresented in global models: nonstatutory monitoring, citizen observations, and local knowledge. Leveraging state-of-the-art technologies such as semantic data models and machine learning, we will develop novel knowledge integration workflows, with explicit tracking of epistemic and aleatoric uncertainties. Using a flexible modeling approach, we aim to produce a simulation system blueprint that is optimized for local and regional action, including the identification and prioritization of local knowledge gaps. This poses challenges not only of an ambitious scientific and technical nature but also in facilitating uptake, replication, and long-term sustainability. We have assembled a world-leading, interdisciplinary team and a global network of pilot sites to achieve this, by producing transdisciplinary science, developing transferable and scalable tools, and nurturing a global community of practice. If successful, it can produce a paradigm shift in data collection and knowledge co-production for freshwater reanalysis and its use.
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