GSTDTAP  > 气候变化
DOI10.1029/2019GL083305
Extreme Memory of Initial Conditions in Numerical Landscape Evolution Models
Kwang, J. S.1; Parker, G.1,2
2019-06-28
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
EISSN1944-8007
出版年2019
卷号46期号:12页码:6563-6573
文章类型Article
语种英语
国家USA
英文摘要

Landscape evolution models (LEMs) are dependent on their initial conditions (ICs). Commonly, LEMs use a horizontal surface with randomized perturbations as their IC and tend toward a steady state under constant forcing. The initial and steady state topographies are inherently linked, but they bear no obvious resemblance to each other. Here we reveal a connection by adding a shallow sinusoidal channel to the IC. This channel transforms into a deep canyon at steady state. Hence, the general behavior of LEMs is to indefinitely preserve topographic features from their ICs. Then we test whether experimental landscapes exhibit a similar behavior. In our experiments, we use the same sinusoidal signal, but find that it is ultimately erased. We believe that the culprit reorganizing processes are lateral channel migration and spatiotemporal variability in incision. Our results imply that LEMs are missing fundamental mechanisms and that long-term preservation of ICs in erosional environments is unlikely.


英文关键词landscape evolution modeling dynamic equilibrium drainage network reorganization initial conditions divide migration lateral channel migration
领域气候变化
收录类别SCI-E
WOS记录号WOS:000477616300046
WOS关键词STRATH-TERRACE FORMATION ; BEDROCK ; EROSION ; KNICKPOINTS ; DENUDATION ; MIGRATION ; LANDLAB ; UPLIFT ; STYLE ; BED
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/184245
专题气候变化
作者单位1.Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA;
2.Univ Illinois, Dept Geol, Urbana, IL USA
推荐引用方式
GB/T 7714
Kwang, J. S.,Parker, G.. Extreme Memory of Initial Conditions in Numerical Landscape Evolution Models[J]. GEOPHYSICAL RESEARCH LETTERS,2019,46(12):6563-6573.
APA Kwang, J. S.,&Parker, G..(2019).Extreme Memory of Initial Conditions in Numerical Landscape Evolution Models.GEOPHYSICAL RESEARCH LETTERS,46(12),6563-6573.
MLA Kwang, J. S.,et al."Extreme Memory of Initial Conditions in Numerical Landscape Evolution Models".GEOPHYSICAL RESEARCH LETTERS 46.12(2019):6563-6573.
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