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dc.contributor.authorCarey, Mark
dc.contributor.authorBaraer, Michel
dc.contributor.authorMark, Bryan G.
dc.contributor.authorFrench, Adam
dc.contributor.authorBury, Jeffrey
dc.contributor.authorYoung, Kenneth R.
dc.contributor.authorMcKenzie, Jeffrey M.
dc.coverage.spatialCordillera Blanca
dc.date.accessioned2018-12-31T13:56:01Z
dc.date.available2018-12-31T13:56:01Z
dc.date.issued2014-10
dc.identifier.citationCarey, M., Baraer, M., Mark, B. G. et al. (2014) Toward hydro-social modeling: Merging human variables and the social sciences with climate-glacier runoff models (Santa River, Peru). Journal of Hydrology, 518, 60-70. doi: https://doi.org/10.1016/j.jhydrol.2013.11.006es_ES
dc.identifier.issnISSN: 0022-1694, ESSN: 1879-2707es_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12543/00.12543/3194
dc.descriptionOriginal abstract: Glacier shrinkage caused by climate change is likely to trigger diminished and less consistent stream flow in glacier-fed watersheds worldwide. To understand, model, and adapt to these climate-glacier-water changes, it is vital to integrate the analysis of both water availability (the domain of hydrologists) and water use (the focus for social scientists). Drawn from a case study of the Santa River watershed below Peru’s glaciated Cordillera Blanca mountain range, this paper provides a holistic hydro-social framework that identifies five major human variables critical to hydrological modeling because these forces have profoundly influenced water use over the last 60 years: (1) political agendas and economic development; (2) governance: laws and institutions; (3) technology and engineering; (4) land and resource use; and (5) societal responses. Notable shifts in Santa River water use—including major expansions in hydroelectricity generation, large-scale irrigation projects, and other land and resource-use practices—did not necessarily stem from changing glacier runoff or hydrologic shifts, but rather from these human variables. Ultimately, then, water usage is not predictable based on water availability alone. Glacier runoff conforms to certain expected trends predicted by models of progressively reduced glacier storage. However, societal forces establish the legal, economic, political, cultural, and social drivers that actually shape water usage patterns via human modification of watershed dynamics. This hydro-social framework has widespread implications for hydrological modeling in glaciated watersheds from the Andes and Alps to the Himalaya and Tien Shan, as well as for the development of climate change adaptation plans.es_ES
dc.descriptionArtículo en período de embargoes_ES
dc.description.abstractOfrece un nuevo enfoque para analizar los efectos del cambio climático-glaciar en los recursos hídricos; en este sentido, combina las ciencias sociales y la hidrología para mostrar cómo se utiliza la escorrentía de los glaciares río abajo. Asimismo, proporciona un marco hidro-social holístico que identifica 5 variables humanas en hidrología y muestra cambios importantes en el uso del agua como resultado de variables humanas, no de la escorrentía del glaciar. Para ello toma como base un estudio de caso de la cuenca hidrográfica del río Santa debajo de la cordillera de la Cordillera Blanca, un glaciar de Perú,es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofseriesJournal of Hydrology, October 2014, Volume 518, pp 60-70es_ES
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0022169413008159?via%3Dihub
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceAutoridad Nacional del Aguaes_ES
dc.sourceRepositorio institucional - ANAes_ES
dc.subjectCambio climáticoes_ES
dc.subjectGestión de riesgos de desastres en recursos hídricoses_ES
dc.subjectMonitoreo de lagunas y glaciareses_ES
dc.titleToward hydro-social modeling: Merging human variables and the social sciences with climate-glacier runoff models (Santa River, Peru)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.1016/j.jhydrol.2013.11.006es_ES


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