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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>10</volume_number>
		<issue_number>6</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/hess-10-889-2006</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/10/889/2006/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/10/889/2006/hess-10-889-2006.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/10/889/2006/hess-10-889-2006.pdf</fulltext_pdf>
	<start_page>889</start_page>
	<end_page>902</end_page>
	<publication_date>2006-11-22</publication_date>
	<article_title content_type="html">Uncertainty in soil physical data at river basin scale &amp;ndash; a review</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>P. van der Keur</name>
			<email>pke@geus.dk</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>B. V. Iversen</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen K, Denmark</affiliation>
		<affiliation numeration="2" content_type="html">Danish Institute of Agricultural Sciences, P.O.~Box 50, 8830 Tjele, Denmark</affiliation>
	</affiliations>
	<abstract content_type="html">For hydrological modelling studies at the river basin scale, decision makers
need guidance in assessing the implications of uncertain data used by
modellers as an input to modelling tools. Simulated solute transport through
the unsaturated zone is associated with uncertainty due to spatial
variability of soil hydraulic properties and derived hydraulic model
parameters. In general for modelling studies at the river basin scale
spatially available data at various scales must be aggregated to an
appropriate scale. Estimating soil properties at unsampled points by means
of geostatistical techniques require reliable information on the spatial
structure of soil data. In this paper this information is assessed by
reviewing current developments in the field of soil physical data
uncertainty and adopting a classification system. Then spatial variability
and structure is inspected by reviewing experimental work on determining
spatial length scales for soil physical (and soil chemical) data. Available
literature on spatial length scales for soil physical- and chemical
properties is reviewed and their use in facilitating change of spatial
support discussed. Uncertainty associated to the derivation of hydraulic
properties from soil physical properties in this context is also discussed.</abstract>
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</article>

