 |
| Titel |
Incorporating landscape characteristics in a distance metric for interpolating between observations of stream water chemistry |
| VerfasserIn |
S. W. Lyon, J. Seibert, A. J. Lembo, T. S. Steenhuis, M. T. Walter |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 12, no. 5 ; Nr. 12, no. 5 (2008-10-15), S.1229-1239 |
| Datensatznummer |
250010882
|
| Publikation (Nr.) |
 copernicus.org/hess-12-1229-2008.pdf |
|
|
|
|
|
| Zusammenfassung |
| Spatial patterns of water chemistry along stream networks can be quantified
using synoptic or "snapshot" sampling. The basic idea is to sample stream
water at many points over a relatively short period of time. Even for
intense sampling campaigns, the number of sample points is limited and
interpolation methods, like kriging, are commonly used to produce continuous
maps of water chemistry based on the point observations from the synoptic
sampling. Interpolated concentrations are influenced heavily by how distance
between points along the stream network is defined. In this study, we
investigate different ways to define distance and test these based on data
from a snapshot sampling campaign in a 37-km2 watershed in the Catskill
Mountains region (New York State). Three distance definitions (or metrics)
were compared: Euclidean or straight-line distance, in-stream distance, and
in-stream distance adjusted according characteristics of the local
contributing area, i.e., an adjusted in-stream distance. Using the adjusted
distance metric resulted in a lower cross-validation error of the
interpolated concentrations, i.e., a better agreement of kriging results
with measurements, than the other distance definitions. The adjusted
distance metric can also be used in an exploratory manner to test which
landscape characteristics are most influential for the spatial patterns of
stream water chemistry and, thus, to target future investigations to gain
process-based understanding of in-stream chemistry dynamics. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|