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dc.contributor.authorVero, Sara E.
dc.contributor.authorHealy, Mark G.
dc.contributor.authorHenry, Tiernan
dc.contributor.authorCreamer, Rachel E.
dc.contributor.authorIbrahim, Tristan G.
dc.contributor.authorRichards, Karl G.
dc.contributor.authorMellander, Per-Erik
dc.contributor.authorMcDonald, Noeleen T.
dc.contributor.authorFenton, Owen
dc.date.accessioned2017-08-10T13:57:54Z
dc.date.issued2016-12-10
dc.identifier.citationVero, Sara E., Healy, Mark G., Henry, Tiernan, Creamer, Rachel E., Ibrahim, Tristan G., Richards, Karl G., Mellander, Per-Erik, McDonald, Noeleen T., Fenton, Owen. (2017). A framework for determining unsaturated zone water quality time lags at catchment scale. Agriculture, Ecosystems & Environment, 236, 234-242. doi: http://dx.doi.org/10.1016/j.agee.2016.12.001en_IE
dc.identifier.issn0167-8809
dc.identifier.urihttp://hdl.handle.net/10379/6697
dc.description.abstractThe responses of waterbodies to agricultural programmes of measures are frequently delayed by hydrological time lags through the unsaturated zone and groundwater. Time lag may therefore, impede the achievement of remediation deadlines such as those described in the EU Water Framework Directive (WFD). Omitting time lag from catchment characterisation renders evaluation of management practices impossible. Time lag aside, regulators at national scale can only manage the expectations of policy-makers at larger scales (e.g. European Union) by demonstrating positive nutrient trajectories in catchments failing to achieve at least good status. Presently, a flexible tool for developing spatial and temporal estimates of trends in water quality/nutrient transport and time lags is not available. The objectives of the present study were first to develop such a flexible, parsimonious framework incorporating existing soil maps, meteorological data and a structured modelling approach, and to secondly, to demonstrate its use in a grassland and an arable catchment (~10 km2) in Ireland, assuming full implementation of measures in 2012. Data pertaining to solute transport (meteorology, soil hydraulics, depth of profile and boundary conditions) were collected for both catchments. Low complexity textural data alone gave comparable estimates of nutrient trajectories and time lags but with no spatial or soil series information. Taking a high complexity approach, coupling high resolution soil mapping (1:10,000) with national scale (1:25,000) representative profile datasets toen_IE
dc.description.sponsorshipThis research was funded by the Teagasc Walsh Fellowship Scheme.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherElsevier Massonen_IE
dc.relation.ispartofAgriculture Ecosystems & Environmenten
dc.subjectTime lagen_IE
dc.subjectSoilen_IE
dc.subjectUnsaturateden_IE
dc.subjectWater Framework Directiveen_IE
dc.subjectNitrateen_IE
dc.subjectCivil engineeringen_IE
dc.titleA framework for determining unsaturated zone time lags at catchment scaleen_IE
dc.typeArticleen_IE
dc.date.updated2017-07-21T15:22:33Z
dc.identifier.doi10.1016/j.agee.2016.12.001
dc.local.publishedsourcehttps://doi.org/10.1016/j.agee.2016.12.001en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|1267880|~|
dc.description.embargo2018-12-10
dc.internal.rssid11691550
dc.local.contactMark Healy, Room Eng-1038, Civil Engineering, Col Of Engineering & Informatics, Nui Galway. 5364 Email: mark.healy@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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