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  • 1
    Online Resource
    Online Resource
    Copernicus GmbH ; 2014
    In:  Earth Surface Dynamics Vol. 2, No. 1 ( 2014-03-04), p. 117-125
    In: Earth Surface Dynamics, Copernicus GmbH, Vol. 2, No. 1 ( 2014-03-04), p. 117-125
    Abstract: Abstract. Deforestation is a prominent anthropogenic cause of erosive overland flow and slope instability, boosting rates of soil erosion and concomitant sediment flux. Conventional methods of gauging or estimating post-logging sediment flux often focus on annual timescales but overlook potentially important process response on shorter intervals immediately following timber harvest. We resolve such dynamics with non-parametric quantile regression forests (QRF) based on high-frequency (3 min) discharge measurements and sediment concentration data sampled every 30–60 min in similar-sized (∼0.1 km2) forested Chilean catchments that were logged during either the rainy or the dry season. The method of QRF builds on the random forest algorithm, and combines quantile regression with repeated random sub-sampling of both cases and predictors. The algorithm belongs to the family of decision-tree classifiers, which allow quantifying relevant predictors in high-dimensional parameter space. We find that, where no logging occurred, ∼80% of the total sediment load was transported during extremely variable runoff events during only 5% of the monitoring period. In particular, dry-season logging dampened the relative role of these rare, extreme sediment-transport events by increasing load efficiency during more efficient moderate events. We show that QRFs outperform traditional sediment rating curves (SRCs) in terms of accurately simulating short-term dynamics of sediment flux, and conclude that QRF may reliably support forest management recommendations by providing robust simulations of post-logging response of water and sediment fluxes at high temporal resolution.
    Type of Medium: Online Resource
    ISSN: 2196-632X
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2014
    detail.hit.zdb_id: 2736054-4
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 2000
    In:  Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere Vol. 25, No. 3 ( 2000-1), p. 227-232
    In: Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, Elsevier BV, Vol. 25, No. 3 ( 2000-1), p. 227-232
    Type of Medium: Online Resource
    ISSN: 1464-1909
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2000
    detail.hit.zdb_id: 1459121-2
    detail.hit.zdb_id: 2018132-2
    SSG: 16,13
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  • 3
    In: River Research and Applications, Wiley, Vol. 24, No. 3 ( 2008-03), p. 353-353
    Type of Medium: Online Resource
    ISSN: 1535-1459 , 1535-1467
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2008
    detail.hit.zdb_id: 2074114-5
    SSG: 12
    SSG: 14
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2008
    In:  Earth Surface Processes and Landforms Vol. 33, No. 13 ( 2008-11), p. 2064-2077
    In: Earth Surface Processes and Landforms, Wiley, Vol. 33, No. 13 ( 2008-11), p. 2064-2077
    Type of Medium: Online Resource
    ISSN: 0197-9337 , 1096-9837
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2008
    detail.hit.zdb_id: 1479188-2
    SSG: 14
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  • 5
    Online Resource
    Online Resource
    Copernicus GmbH ; 2012
    In:  Hydrology and Earth System Sciences Vol. 16, No. 4 ( 2012-04-03), p. 1111-1135
    In: Hydrology and Earth System Sciences, Copernicus GmbH, Vol. 16, No. 4 ( 2012-04-03), p. 1111-1135
    Abstract: Abstract. Channel transmission losses in drylands take place normally in extensive alluvial channels or streambeds underlain by fractured rocks. They can play an important role in streamflow rates, groundwater recharge, freshwater supply and channel-associated ecosystems. We aim to develop a process-oriented, semi-distributed channel transmission losses model, using process formulations which are suitable for data-scarce dryland environments and applicable to both hydraulically disconnected losing streams and hydraulically connected losing(/gaining) streams. This approach should be able to cover a large variation in climate and hydro-geologic controls, which are typically found in dryland regions of the Earth. Our model was first evaluated for a losing/gaining, hydraulically connected 30 km reach of the Middle Jaguaribe River (MJR), Ceará, Brazil, which drains a catchment area of 20 000 km2. Secondly, we applied it to a small losing, hydraulically disconnected 1.5 km channel reach in the Walnut Gulch Experimental Watershed (WGEW), Arizona, USA. The model was able to predict reliably the streamflow volume and peak for both case studies without using any parameter calibration procedure. We have shown that the evaluation of the hypotheses on the dominant hydrological processes was fundamental for reducing structural model uncertainties and improving the streamflow prediction. For instance, in the case of the large river reach (MJR), it was shown that both lateral stream-aquifer water fluxes and groundwater flow in the underlying alluvium parallel to the river course are necessary to predict streamflow volume and channel transmission losses, the former process being more relevant than the latter. Regarding model uncertainty, it was shown that the approaches, which were applied for the unsaturated zone processes (highly nonlinear with elaborate numerical solutions), are much more sensitive to parameter variability than those approaches which were used for the saturated zone (mathematically simple water budgeting in aquifer columns, including backwater effects). In case of the MJR-application, we have seen that structural uncertainties due to the limited knowledge of the subsurface saturated system interactions (i.e. groundwater coupling with channel water; possible groundwater flow parallel to the river) were more relevant than those related to the subsurface parameter variability. In case of the WEGW application we have seen that the non-linearity involved in the unsaturated flow processes in disconnected dryland river systems (controlled by the unsaturated zone) generally contain far more model uncertainties than do connected systems controlled by the saturated flow. Therefore, the degree of aridity of a dryland river may be an indicator of potential model uncertainty and subsequent attainable predictability of the system.
    Type of Medium: Online Resource
    ISSN: 1607-7938
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2012
    detail.hit.zdb_id: 2100610-6
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  • 6
    Online Resource
    Online Resource
    Copernicus GmbH ; 1999
    In:  Hydrology and Earth System Sciences Vol. 3, No. 4 ( 1999-12-31), p. 505-516
    In: Hydrology and Earth System Sciences, Copernicus GmbH, Vol. 3, No. 4 ( 1999-12-31), p. 505-516
    Abstract: Abstract. A Bayesian approach is described for dealing with the problem of infilling and generating stochastic flow sequences using rainfall data to guide the flow generation process, and including bounded (censored) observed flow and rainfall data to provide additional information. Solutions are obtained using a Gibbs sampling procedure. Particular problems discussed include developing new procedures for fitting transformations when bounded values are available, coping with additional information in the form of values, or bounds, for totals of flows across several sites, and developing relationships between annual flow and rainfall data. Examples are shown of both infilled values of unknown past river flows, with assessment of uncertainty, and realisations of flows representative of what might occur in the future. Several procedures for validating the model output are described and the central estimates of flows, taken as a surrogate for historical observed flows, are compared with long term regional flow and rainfall data.
    Type of Medium: Online Resource
    ISSN: 1607-7938
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 1999
    detail.hit.zdb_id: 2100610-6
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  • 7
    Online Resource
    Online Resource
    Copernicus GmbH ; 2010
    In:  Hydrology and Earth System Sciences Vol. 14, No. 6 ( 2010-06-24), p. 1007-1020
    In: Hydrology and Earth System Sciences, Copernicus GmbH, Vol. 14, No. 6 ( 2010-06-24), p. 1007-1020
    Abstract: Abstract. Investigation of transient soil moisture profiles yields valuable information of near- surface processes. A recently developed reconstruction algorithm based on the telegraph equation allows the inverse estimation of soil moisture profiles along coated, three rod TDR probes. Laboratory experiments were carried out to prove the results of the inversion and to understand the influence of probe rod deformation and solid objects close to the probe in heterogeneous media. Differences in rod geometry can lead to serious misinterpretations in the soil moisture profile, but have small influence on the average soil moisture along the probe. Solids in the integration volume have almost no effect on average soil moisture, but result in locally slightly decreased moisture values. Inverted profiles obtained in a loamy soil with a clay content of about 16% were in good agreement with independent measurements.
    Type of Medium: Online Resource
    ISSN: 1607-7938
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2010
    detail.hit.zdb_id: 2100610-6
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  • 8
    Online Resource
    Online Resource
    American Meteorological Society ; 2019
    In:  Journal of Climate Vol. 32, No. 22 ( 2019-11-15), p. 7597-7609
    In: Journal of Climate, American Meteorological Society, Vol. 32, No. 22 ( 2019-11-15), p. 7597-7609
    Abstract: Estimates of present and future extreme sub-hourly rainfall are derived from a daily spatial followed by a sub-daily temporal downscaling, the latter of which incorporates a novel, and crucial, temperature sensitivity. Specifically, daily global climate fields are spatially downscaled to local temperature T and precipitation P, which are then disaggregated to a temporal resolution of 10 min using a multiplicative random cascade model. The scheme is calibrated and validated with a group of 21 station records of 10-min resolution in Germany. The cascade model is used in the classical (denoted as MC) and in the new T-sensitive (MC+) version, which respects local Clausius–Clapeyron (CC) effects such as CC scaling. Extreme P is positively biased in both MC versions. Observed T sensitivity is absent in MC but well reproduced by MC+. Long-term positive trends in extreme sub-hourly P are generally more pronounced and more significant in MC+ than in MC. In units of 10-min rainfall, observed centennial trends in annual exceedance counts (EC) of P & gt; 5 mm are +29% and in 3-yr return levels (RL) +27%. For the RCP4.5-simulated future, higher extremes are projected in both versions MC and MC+: per century, EC increases by 30% for MC and by 83% for MC+; the RL rises by 14% for MC and by 33% for MC+. Because the projected daily P trends are negligible, the sub-daily signal is mainly driven by local temperature.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    RVK:
    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2019
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 9
    Online Resource
    Online Resource
    Informa UK Limited ; 2008
    In:  International Journal of Geographical Information Science Vol. 22, No. 2 ( 2008-02), p. 111-132
    In: International Journal of Geographical Information Science, Informa UK Limited, Vol. 22, No. 2 ( 2008-02), p. 111-132
    Type of Medium: Online Resource
    ISSN: 1365-8816 , 1362-3087
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2008
    detail.hit.zdb_id: 58915-9
    detail.hit.zdb_id: 1491393-8
    SSG: 14
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2006
    In:  Ecological Modelling Vol. 199, No. 4 ( 2006-12), p. 379-392
    In: Ecological Modelling, Elsevier BV, Vol. 199, No. 4 ( 2006-12), p. 379-392
    Type of Medium: Online Resource
    ISSN: 0304-3800
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2006
    detail.hit.zdb_id: 191971-4
    detail.hit.zdb_id: 2000879-X
    SSG: 12
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