Integrated response and transit time distributions of watersheds by combining hydrograph separation and long-term transit time modeling

Roa-García, María Cecilia; Weiler, Markus

doi:10.5194/hessd-7-1-2010

Cited by 33 publications

(47 citation statements)

References 32 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In forested headwaters, trees not only affect the amount of 58 spatiotemporal throughfall (Gerrits et al, 2010) and isotopic composition (Allen et al, 2015), but 59 also affect the subsurface connectivity (Weiler et al, 1998). Interception and transpiration of 60 trees together with higher infiltration capacities of the soils can have a delaying effect on stream 61 response, and pre-event water dominates the stormflow (Buttle, 1994; Klaus and McDonnell, 62 2013;Roa-García and Weiler, 2010). Roa-García and Weiler (2010) observed higher pre-event 63…”

Section: Introduction 29mentioning

confidence: 99%

“…This development has made it possible to investigate more 49 catchments or events. Few early IHS studies compared different catchments (Rodhe, 1987) and 50 only recently has IHS been used to compare neighboring headwaters (Laudon et al, 2007; Onda 51 et al, 2006) and/or many events (Hrachowitz et al, 2011; James and Roulet, 2009; Lyon et al, 52 2008;McGlynn et al, 2004;Roa-García and Weiler, 2010; Segura et al, 2012). Several of these 53 runoff generation studies found a more variable event and pre-event water contribution, contrary 54 to the presumed dominance in pre-event water found in the single headwater studies.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Pre-event water contributions to runoff events of different magnitude in pre-alpine headwaters

2016

View full text Add to dashboard Cite

Precipitation and catchment characteristics of mountainous headwaters can vary largely within short distances. It remains unclear how these two factors determine the contribution of event water and pre-event water to stormflow. We investigated this in five neighboring headwaters with high annual precipitation amounts (>2,000 mm y¹) in a steep pre-alpine region in Switzerland. Rainfall and streamwater of 13 different rainstorms were sampled (P: 5 mm intervals, Q: 12 to 51 samples per events) to perform a two-component isotope hydrograph separation. Pre-event water contributions based on ¹O or ²H computation were similar. The pre-event water contributions of headwaters depended largely on rainfall (amount and intensity) and varied more between events than between catchments, despite clear differences in land cover between the catchments. Furthermore, antecedent wetness was not found to control pre-event water contribution. With increasing rainfall amount, the proportion of rainfall in runoff increased and changed from pre-event to event water dominated. The variable rainfall amount and small active storage (organic soil horizon, 20-50 cm) resulted in a threshold in the upper soil horizon with subsequently more variable pre-event water contribution. Our results show the necessity of sampling in different headwaters and events to better understand controlling factors in runoff generation. DOI: https://doi.org/10. 2166/nh.2016.176 Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-123377 Accepted Version Originally published at: Fischer, Benjamin M C; Stähli, Manfred; Seibert, Jan (2016). Pre-event water contributions to runoff events of different magnitude in pre-alpine headwaters. Nordic Hydrology, 47(1):online. DOI: https://doi.org/10. 2166/nh.2016.176 Spatial runoff generation mechanisms in pre-alpine headwaters 1 Pre-event water contributions to runoff events of different magnitude in pre- Department of Earth Sciences, Uppsala University, Sweden 9Keywords: headwater catchments, hydrograph separation, isotope hydrology, catchment 10 comparison and runoff generation 11 ABSTRACT 12Precipitation and catchment characteristics of mountainous headwaters can vary largely within 13 short distances. It remains unclear how these two factors determine the contribution of event 14water and pre-event water to stormflow. We investigated this in five neighboring headwaters 15 with high annual precipitation amounts (>2000 mm y and varied more between events than between catchments, despite clear differences in land cover 21 between the catchments. Furthermore antecedent wetness was not found to control pre-event 22water contribution. With increasing rainfall amount, the proportion of rainfall in runoff increased 23Spatial runoff generation mechanisms in pre-alpine headwaters 2 and changed from pre-event to event water dominated. The variable rainfall amount and small 24 active storage (organic soil horizon, 20-50 cm) resulted in a threshold in the upper so...

show abstract

Section: Introduction 29mentioning

confidence: 99%

mentioning

confidence: 99%

Pre-event water contributions to runoff events of different magnitude in pre-alpine headwaters

2016

View full text Add to dashboard Cite

show abstract

“…Most case studies in tropical montane areas are from Latin America (e.g. Correa et al, 2017;Crespo et al, 2012;20 Mosquera et al, 2016b;Roa-García and Weiler, 2010;Timbe et al, 2014;Windhorst et al, 2014), whereas no data is available from African tropical montane catchments.…”

Section: Stable Water Isotopes ( 2 Hmentioning

confidence: 99%

Land use alters dominant water sources and flow paths in tropical montane catchments in East Africa

Jacobs¹,

Timbe²,

Weeser³

et al. 2018

Preprint

View full text Add to dashboard Cite

Abstract. Conversion of natural forest to other land uses could lead to significant changes in catchment hydrology, but the nature of these changes has been insufficiently investigated in tropical montane catchments, especially in Africa. To address 20 this knowledge gap, we identified stream water sources and flow paths in three tropical montane sub-catchments (27-36 km²) with different land use (natural forest, smallholder agriculture and commercial tea plantations) within a 1 021 km² catchment in the Mau Forest Complex, Kenya. Weekly samples were collected from stream water, precipitation and soil water for 75 weeks and analysed for stable water isotopes (δ 2 H and δ 18 O) for mean transit time estimation, whereas trace element samples from stream water and potential end members were collected over a period of 55 weeks for end member mixing analysis. 25Stream water mean transit time was similar (~4 years) in the three sub-catchments, and ranged from 3.2-3.3 weeks in forest soils and 4.5-7.9 weeks in pasture soils at 15 cm depth to 10.4-10.8 weeks in pasture soils at 50 cm depth. The contribution of springs and wetlands to stream discharge increased from 18, 1 and 48 % during low flow to 22, 51 and 65 % during high flow in the natural forest, smallholder agriculture and tea plantation sub-catchments, respectively. The dominant stream water source in the tea plantation sub-catchment was spring water (56 %), while precipitation was dominant in the smallholder 30 agriculture (59 %) and natural forest (45 %) sub-catchments. These results confirm that catchment hydrology is strongly influenced by land use, which could have serious consequences for water-related ecosystem services, such as provision of clean water.Hydrol. Earth Syst. Sci. Discuss., https://doi

show abstract

“…Several distribution types have been used in catchment studies, including the dispersion model (Kirchner et al, 2001;McGlynn et al, 8 2003;McGuire et al, 2002), the piston flow model (McGlynn et al, 2003), and exponentialpiston flow (Maloszewski and Zuber, 1996;McGlynn et al, 2003;McGuire et al, 2002;Timbe et al, 2014). The exponential distribution has been the most widely used (more than 60% of the studies in several recent reviews; McGuire and McDonnell, 2006;Mueller et al, 2013;Roa-Garcia and Weiler, 2010;Seeger and Weiler, 2014), though more recently, the gamma function has been recognized as more conceptually and mathematically suitable to represent catchment behaviour and mixing processes due to its short breakthrough time and long tail (Birkel et al, 2012;Dunn et al, 2010;Heidbüchel et al, 2012;Hrachowitz, 2011;Hrachowitz et al, 2010;Kirchner et al, 2001Kirchner et al, , 2000Soulsby et al, 2011).…”

Section: Time Distribution Terms and Conceptsmentioning

confidence: 99%

Constitution of a catchment virtual observatory for sharing flow and transport models outputs

Thomas

Rousseau-Gueutin

Kolbe

et al. 2016

Journal of Hydrology

View full text Add to dashboard Cite

Accepted ManuscriptConstitution of a catchment virtual observatory for sharing flow and transport models outputs Zahra Thomas, Pauline Rousseau-Gueutin, Tamara Kolbe, Benjamin W. Abbott, Jean Marçais, Stefan Peiffer, Sven Frei, Kevin Bishop, Pascal Pichelin, Gilles Pinay, Jean-Raynald de Dreuzy PII:S0022-1694(16)30260-8 DOI:http://dx.doi.org/10.1016/j.jhydrol.2016.04.067 Reference:HYDROL 21237To appear in: Journal of HydrologyPlease cite this article as: Thomas, Z., Rousseau-Gueutin, P., Kolbe, T., Abbott, B.W., Marçais, J., Peiffer, S., Frei, S., Bishop, K., Pichelin, P., Pinay, G., de Dreuzy, J-R., Constitution of a catchment virtual observatory for sharing flow and transport models outputs, Journal of Hydrology (2016), doi: http://dx.doi.org/10.1016/j.jhydrol. 2016.04.067This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. The mean transit time and whole stream residence time distribution are powerful metrics of catchment functioning, providing synoptic hydrological information such as water renewal time, heterogeneity of flowpaths, and overall water volume (Godsey et al., 2010;Hrachowitz et al., 2010; Marçais et al., 2015;McGuire and McDonnell, 2006;Van der Velde et al., 2012) . These hydrological parameters influence catchment biogeochemistry (Ocampo et al., 2006;Oldham et al., 2013;Pinay et al., 2015;Tetzlaff et al., 2007), further increasing their value as Constitution of a catchment virtual observatory for sharing flow and transport modelsObservatory for sharing models outputs Thomas et al. 4 indicators and predictors of catchment-scale water quality and chemistry. Because these parameters are of great general interest they feature prominently in the inputs and outputs of many models (e.g. McGuire et al., 2005;Tetzlaff et al., 2009a (Bishop et al., 2008). Small catchments express a wide diversity of subsurface flow configurations (Eberts et al., 2012;Gburek and Folmar, 1999;Sophocleous, 2002;Winter, 1999) depending on geological and topographical structures, distribution and timing of recharge, characteristics of the vadose zone, and free surface dynamics of the underlying aquifer (Bresciani et al., 2014;Schumann et al., 2010;Freer et al., 2002;Montgomery and Dietrich, 1989;O'loughlin, 1981;Šimŭnek et al., 2003;Voeckler et al., 2014; Dages et al., 2009; de Vries and Simmers, 2002;Scanlon et al., 2002).Observatory for sharing models outputs Thomas et al. 6 Perhaps most importantly in regards to catchment hydrology, small catchments are a convenient and powerful experimental unit. Compared to large catchments, there are fewer processes influencing behaviour of small catchments and collecti...

show abstract

Integrated response and transit time distributions of watersheds by combining hydrograph separation and long-term transit time modeling

Cited by 33 publications

References 32 publications

Pre-event water contributions to runoff events of different magnitude in pre-alpine headwaters

Pre-event water contributions to runoff events of different magnitude in pre-alpine headwaters

Land use alters dominant water sources and flow paths in tropical montane catchments in East Africa

Constitution of a catchment virtual observatory for sharing flow and transport models outputs

Contact Info

Product

Resources

About