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000015987 0247_ $$2DOI$$a10.5194/hess-15-1323-2011
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000015987 084__ $$2WoS$$aGeosciences, Multidisciplinary
000015987 084__ $$2WoS$$aWater Resources
000015987 1001_ $$0P:(DE-HGF)0$$aMinet, J.$$b0
000015987 245__ $$aEffect of high-resolution spatial soil moisture variability on simulated runoff response using a distributed hydrologic model
000015987 260__ $$aKatlenburg-Lindau$$bEGU$$c2011
000015987 300__ $$a1323 - 1338
000015987 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000015987 440_0 $$022262$$aHydrology and Earth System Sciences$$v15$$x1027-5606$$y4
000015987 500__ $$3POF3_Assignment on 2016-02-29
000015987 500__ $$aThe research presented in this paper was funded by the Belgian Science Policy Office in the frame of the Stereo II programme - project SR/00/100 (HYDRASENS). We thank all the people who participated to the GPR field surveys presented in this paper. We are grateful to the editor and three anonymous reviewers for the revision of this paper.
000015987 520__ $$aThe importance of spatial variability of antecedent soil moisture conditions on runoff response is widely acknowledged in hillslope hydrology. Using a distributed hydrologic model, this paper aims at investigating the effects of soil moisture spatial variability on runoff in various field conditions and at finding the structure of the soil moisture pattern that approaches the measured soil moisture pattern in terms of field scale runoff. High spatial resolution soil moisture was surveyed in ten different field campaigns using a proximal ground penetrating radar (GPR) mounted on a mobile platform. Based on these soil moisture measurements, seven scenarios of spatial structures of antecedent soil moisture were used and linked with a field scale distributed hydrological model to simulate field scale runoff. Accounting for spatial variability of soil moisture resulted in general in higher predicted field scale runoff as compared to the case where soil moisture was kept constant. The ranges of possible hydrographs were delineated by extreme scenarios where soil moisture was directly and inversely modelled according to the topographic wetness index (TWI). These behaviours could be explained by the sizes and locations of runoff contributing areas, knowing that runoff was generated by infiltration excess over a certain soil moisture threshold. The most efficient scenario for modelling the within field spatial structure of soil moisture appeared to be when soil moisture is directly arranged according to the TWI, especially when measured soil moisture and TWI were correlated. The novelty of this work is to benefit from a large set of high-resolution soil moisture measurements allowing to model effectively the within field distribution of soil moisture and its impact on the field scale hydrograph. These observations contributed to the current knowledge of the impact of antecedent soil moisture spatial variability on field scale runoff.
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000015987 7001_ $$0P:(DE-HGF)0$$aLaloy, E.$$b1
000015987 7001_ $$0P:(DE-Juel1)VDB54976$$aLambot, S.$$b2$$uFZJ
000015987 7001_ $$0P:(DE-HGF)0$$aVanclooster, M.$$b3
000015987 773__ $$0PERI:(DE-600)2100610-6$$a10.5194/hess-15-1323-2011$$gVol. 15, p. 1323 - 1338$$p1323 - 1338$$q15<1323 - 1338$$tHydrology and earth system sciences$$v15$$x1027-5606$$y2011
000015987 8567_ $$uhttp://dx.doi.org/10.5194/hess-15-1323-2011
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