Hydrology and Earth System Sciences

Autor: A. S. Ward, S. M. Wondzell, N. M. Schmadel, S. Herzog, J. P. Zarnetske, V. Baranov, P. J. Blaen, N. Brekenfeld, R. Chu, R. Derelle, J. Drummond, J. H. Fleckenstein, V. Garayburu-Caruso, E. Graham, D. Hannah, C. J. Harman, J. Hixson, J. L. A. Knapp, S. Krause, M. J. Kurz, J. Lewandowski, A. Li, E. Martí, M. Miller, A. M. Milner, K. Neil, L. Orsini, A. I. Packman, S. Plont, L. Renteria, K. Roche, T. Royer, C. Segura, J. Stegen, J. Toyoda, J. Wells, N. I. Wisnoski
Přispěvatelé: Biological Sciences
Rok vydání: 2019
Předmět:
010504 meteorology & atmospheric sciences
media_common.quotation_subject
0208 environmental biotechnology
0207 environmental engineering
Drainage basin
Magnitude (mathematics)
02 engineering and technology
Forcing (mathematics)
010501 environmental sciences
lcsh:Technology
01 natural sciences
lcsh:TD1-1066
lcsh:Environmental technology. Sanitary engineering
020701 environmental engineering
lcsh:Environmental sciences
0105 earth and related environmental sciences
General Environmental Science
media_common
lcsh:GE1-350
Hydrology
geography
Baseflow
geography.geographical_feature_category
lcsh:T
lcsh:Geography. Anthropology. Recreation
15. Life on land
6. Clean water
Field (geography)
020801 environmental engineering
lcsh:G
13. Climate action
Conceptual model
General Earth and Planetary Sciences
Environmental science
Scale (map)
Main stem
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
Hydrology and Earth System Sciences, 23 (12)
Hydrology and Earth System Sciences, Vol 23, Pp 5199-5225 (2019)
ISSN: 1607-7938
Popis: Este artículo contiene 28 páginas, 6 figuras, 4 tablas.
Although most field and modeling studies of river corridor exchange have been conducted at scales ranging from tens to hundreds of meters, results of these studies are used to predict their ecological and hydrological influences at the scale of river networks. Further complicating prediction, exchanges are expected to vary with hydrologic forcing and the local geomorphic setting. While we desire predictive power, we lack a complete spatiotemporal relationship relating discharge to the variation in geologic setting and hydrologic forcing that is expected across a river basin. Indeed, the conceptual model of Wondzell (2011) predicts systematic variation in river corridor exchange as a function of (1) variation in baseflow over time at a fixed location, (2) variation in discharge with location in the river network, and (3) local geomorphic setting. To test this conceptual model we conducted more than 60 solute tracer studies including a synoptic campaign in the 5th-order river network of the H. J. Andrews Experimental Forest (Oregon, USA) and replicate-intime experiments in four watersheds. We interpret the data using a series of metrics describing river corridor exchange and solute transport, testing for consistent direction and magnitude of relationships relating these metrics to discharge and local geomorphic setting. We confirmed systematic decrease in river corridor exchange space through the river networks, from headwaters to the larger main stem. However, we did not find systematic variation with changes in discharge through time or with local geomorphic setting. While interpretation of our results is complicated by problems with the analytical methods, the results are sufficiently robust for us to conclude that space-for-time and time-for-space substitutions are not appropriate in our study system. Finally, we suggest two strategies that will improve the interpretability of tracer test results and help the hyporheic community develop robust datasets that will enable comparisons across multiple sites and/or discharge conditions.
This research has been supported by the Leverhulme Trust (Where rivers, groundwater and disciplines meet: a hyporheic research network), the UK Natural Environment Research Council (grant no. NE/L003872/1), the European Commission, H2020 Marie Skłodowska-Curie Actions (HiFreq (grant no. 734317)), the U.S. Department of Energy (Pacific Northwest National Lab and DE-SC0019377), the National Science Foundation (grant nos. DEB-1440409, EAR-1652293, EAR-1417603, and EAR-1446328), and the University of Birmingham (Institute of Advanced Studies).
Databáze: OpenAIRE