001     9703
005     20200423202733.0
024 7 _ |a 10.1029/2008WR007506
|2 DOI
024 7 _ |a WOS:000274791800001
|2 WOS
024 7 _ |a 2128/20631
|2 Handle
037 _ _ |a PreJuSER-9703
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Environmental Sciences
084 _ _ |2 WoS
|a Limnology
084 _ _ |2 WoS
|a Water Resources
100 1 _ |0 P:(DE-HGF)0
|a McGrath, G.S.
|b 0
245 _ _ |a Identifying a rainfall event threshold triggering herbicide leaching by preferential flow
260 _ _ |a Washington, DC
|b AGU
|c 2010
300 _ _ |a W02513
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |0 5958
|a Water Resources Research
|v 46
|x 0043-1397
500 _ _ |a The first author would like to acknowledge financial support from German Academic Exchange Service (DAAD), Centre for Groundwater Studies, Postgraduate Research School of the University of Western Australia, Water Corporation of Western Australia, and Australian Research Council's Linkage Projects funding scheme (project LP0211883).
520 _ _ |a How can leaching risk be assessed if the chemical flux and/or the toxicity is highly uncertain? For many strongly sorbing pesticides it is known that their transport through the unsaturated zone occurs intermittently through preferential flow, triggered by significant rainfall events. In these circumstances the timing and frequency of these rainfall events may allow quantification of leaching risk to overcome the limitations of flux prediction. In this paper we analyze the leaching behavior of bromide and two herbicides, methabenzthiazuron and ethidimuron, using data from twelve uncropped lysimeters, with high-resolution climate data, in order to identify the rainfall controls on rapid solute leaching. A regression tree analysis suggested that a coarse-scale fortnightly to monthly water balance was a good predictor of short-term increases in drainage and bromide transport. Significant short-term herbicide leaching, however, was better predicted by the occurrence of a single storm with a depth greater than a 19 mm threshold. Sampling periods where rain events exceeded this threshold accounted for between 38% and 56% of the total mass of herbicides leached during the experiment. The same threshold only accounted for between 1% and 10% of the total mass of bromide leached. On the basis of these results, we conclude that in this system, the leaching risks of strongly sorbing chemicals can be quantified by the timing and frequency of these large rainfall events. Empirical and modeling approaches are suggested to apply this frequentist approach to leaching risk assessment to other soil-climate systems.
536 _ _ |0 G:(DE-Juel1)FUEK407
|2 G:(DE-HGF)
|a Terrestrische Umwelt
|c P24
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |2 WoSType
|a J
700 1 _ |0 P:(DE-HGF)0
|a Hinz, C.
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Sivapalan, M.
|b 2
700 1 _ |0 P:(DE-Juel1)VDB2347
|a Dressel, J.
|b 3
|u FZJ
700 1 _ |0 P:(DE-Juel1)VDB2346
|a Pütz, T.
|b 4
|u FZJ
700 1 _ |0 P:(DE-Juel1)129549
|a Vereecken, H.
|b 5
|u FZJ
773 _ _ |0 PERI:(DE-600)2029553-4
|a 10.1029/2008WR007506
|g Vol. 46, p. W02513
|p W02513
|q 46|t Water resources research
|v 46
|x 0043-1397
|y 2010
856 7 _ |u http://dx.doi.org/10.1029/2008WR007506
856 4 _ |u https://juser.fz-juelich.de/record/9703/files/McGrath_et_al-2010-Water_Resources_Research.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/9703/files/McGrath_et_al-2010-Water_Resources_Research.gif?subformat=icon
|x icon
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/9703/files/McGrath_et_al-2010-Water_Resources_Research.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/9703/files/McGrath_et_al-2010-Water_Resources_Research.jpg?subformat=icon-700
|x icon-700
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/9703/files/McGrath_et_al-2010-Water_Resources_Research.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:9703
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
913 1 _ |0 G:(DE-Juel1)FUEK407
|a DE-HGF
|b Erde und Umwelt
|k P24
|l Terrestrische Umwelt
|v Terrestrische Umwelt
|x 0
914 1 _ |y 2010
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a JCR/ISI refereed
|0 StatID:(DE-HGF)0010
915 _ _ |a Peer review
|0 StatID:(DE-HGF)0030
|2 StatID
920 1 _ |d 31.10.2010
|g ICG
|k ICG-4
|l Agrosphäre
|0 I:(DE-Juel1)VDB793
|x 1
920 1 _ |0 I:(DE-82)080011_20140620
|k JARA-ENERGY
|l Jülich-Aachen Research Alliance - Energy
|g JARA
|x 2
970 _ _ |a VDB:(DE-Juel1)119649
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a I:(DE-82)080011_20140620
980 _ _ |a UNRESTRICTED
980 1 _ |a FullTexts
981 _ _ |a I:(DE-Juel1)IBG-3-20101118
981 _ _ |a I:(DE-Juel1)VDB1047


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21