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dc.contributor.authorBirkel, Christian
dc.contributor.authorHelliwell, Rachel
dc.contributor.authorThornton, Barry
dc.contributor.authorGibbs, Sheila
dc.contributor.authorCooper, Pat
dc.contributor.authorSoulsby, Chris
dc.contributor.authorTetzlaf, Doerthe
dc.contributor.authorSpezia, Luigi
dc.contributor.authorEsquivel-Hernández, Germain
dc.contributor.authorSánchez-Murillo, Ricardo
dc.contributor.authorMidwood, Andrew J.
dc.date.accessioned2020-03-19T22:53:15Z
dc.date.available2020-03-19T22:53:15Z
dc.date.issued2018-07-24
dc.identifier.urihttps://doi.org/10.1016/j.gexplo.2018.07.011
dc.identifier.urihttp://hdl.handle.net/11056/17255
dc.descriptionSánchez-Murillo, Ricardo (Ricardo Alonso Sánchez Murillo)es_ES
dc.description.abstractThe extended National Waters Inventory of Scotland (NWIS) monitoring network in combination with an extensive, supplementary low flow sampling campaign was used to create isoscapes of surface water for management purposes at high spatial resolution (100 m grid) across Scotland. The δ2 H isoscape shows a strong isotopic separation along a north-south and east-west topographic (mountainous to the north and west and lowlands to the east) and climatic (wetter west, drier east) gradients. Isotopes were enriched in the western domain and depleted in the east and central Highland domains. The surface water d-excess isoscape show more complex spatial variability mainly related to contrasting moisture sources (sub-tropical North Atlantic Ocean, the North Sea, Polar Continental, and the Arctic) as well as secondary evaporation processes. The two-year NWIS isotope record exhibited a significant seasonal evaporative effect on surface water isotopes that progresses from winter through to a maximum in autumn as indicated by Local Evaporation Lines (LELs). The surface water isoscapes can be efficiently reproduced with geographically weighted regression (GWR) models using gridded annual precipitation, remotely sensed actual evapotranspiration, land cover, soil wetness, catchment area, and mean elevation. The GWR models showed potential to assess isotopic changes under future climate and land use change.es_ES
dc.language.isoenes_ES
dc.publisherElsevier B.V.es_ES
dc.subjectIsotopeses_ES
dc.subjectSuperficial wateres_ES
dc.subjectUnited Kingdomes_ES
dc.subjectIsótoposes_ES
dc.subjectAgua superficiales_ES
dc.subjectReino Unidoes_ES
dc.titleCharacterization of surface water isotope spatial patterns of Scotlandes_ES
dc.typehttp://purl.org/coar/resource_type/c_6501es_ES


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