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| Titel |
Comparison of different representations of physical erosion on modeling chemical weathering in landslide-dominated region |
| VerfasserIn |
Pei-Hao Chen, Jr-Chuan Huang, Tse-Yang Teng, Yu-ting Shih, Tsung-Yu Lee |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250135208
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| Publikation (Nr.) |
 EGU/EGU2016-16047.pdf |
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| Zusammenfassung |
| Chemical weathering, characterized by CO2 consumption, attracts much attention,
particularly in landslide-dominated regions where the physical erosion rate (PER) may
enhance the chemical weathering rate (CWR) which influences the stability of hillslope and
nutrient supply of ecosystem. Recently, a great debate is on the coupling or decoupling with
CWR and PER in high erosion area, particularly in the landslide-dominated region. However,
the representations of PER either by sediment yield (West et al., 2005) or estimated by
landslide distribution (Gabet, 2007) in such regions is rarely evaluated and discussed.
Hence, we combined these two models on 29 catchments in Taiwan, famous for rapid
erosion and weathering, to clarify how representations of PER affected estimation of
chemical weathering in landslide-dominated regions. The results showed that in
the sediment yield-based model, the coupling between CWR and PER in terms of
power function (α, from CWR=PERα) were 0.09, 0.26, 0.22 for silicate weathering
(CWRsil), carbonate weathering (CWRcarb), total chemical weathering (CWRtot),
respectively. The R2 values were 0.48, 0.49, 0.57 for CWRsil, CWRcarb and CWRtot,
respectively. Meanwhile, in the landslide-based model, α of CWRsil, CWRcarb and
CWRtot were 0.78, 0.79, 0.79, respectively. The R2 values were 0.41, 0.58, 0.67,
respectively. In sum, both model could perform the linkage between CWR and PER
satisfactorily. The sediment yield-based model revealed CWR might be strongly kinetically
limited. Besides, despite of lower performance than the landslide-based model, it
distinguished relationships between different CWR(CWRsil, CWRcarb, CWRtot) and
PER, but simulations of the landslide-based model were reversed. The α of the
landslide-based model is significantly higher than previous studies. It implies that on
perspective of landslides, PER may enhance CWR and matches with current researches. |
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