Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019GL085214 |
A Stochastic Approach to Modeling Tidal Creek Evolution: Exploring Environmental Influences on CreekTopologies Through Ensemble Predictions | |
Li, Xiaorong; Leonardi, Nicoletta; Plater, Andrew J. | |
2019-12-12 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2019 |
卷号 | 46期号:23页码:13836-13844 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | A numerical tool integrating hydrodynamics, vegetation growth, stochastic selection, and Monte-Carlo simulation is developed to predict channel network evolution in a newly inundated back-barrier wetland. Focusing on the formation and evolution of tidal channels, model simulations suggest a clear tendency towards specific creek topologies with high probability despite creek evolution being subject to random perturbations. These creek topologies are primarily determined by wetland topography while the influence of vegetation is secondary. Ensemble results of Monte-Carlo simulations identify threshold points leading to bimodal separation of the emergent creek networks characterized by different complexity and efficiency. This, in turn, assists the recognition of necessary human interventions to encourage the formation of complex and far-reaching creek networks that can promote exchange of materials between estuaries and salt marshes and, hence, maintain salt marsh ecosystem structure and function. |
英文关键词 | tidal creek evolution stochastic simulation ensemble predictions wetland topography vegetation reduced complexity model |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000502317700001 |
WOS关键词 | MANAGED REALIGNMENT ; CLIMATE-CHANGE ; CHANNEL INITIATION ; DRAINAGE DENSITY ; SALT MARSHES ; NETWORKS ; EROSION ; VEGETATION ; TRANSPORT |
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/225190 |
专题 | 环境与发展全球科技态势 |
作者单位 | Univ Liverpool, Sch Environm Sci, Dept Geog & Planning, Liverpool, Merseyside, England |
推荐引用方式 GB/T 7714 | Li, Xiaorong,Leonardi, Nicoletta,Plater, Andrew J.. A Stochastic Approach to Modeling Tidal Creek Evolution: Exploring Environmental Influences on CreekTopologies Through Ensemble Predictions[J]. GEOPHYSICAL RESEARCH LETTERS,2019,46(23):13836-13844. |
APA | Li, Xiaorong,Leonardi, Nicoletta,&Plater, Andrew J..(2019).A Stochastic Approach to Modeling Tidal Creek Evolution: Exploring Environmental Influences on CreekTopologies Through Ensemble Predictions.GEOPHYSICAL RESEARCH LETTERS,46(23),13836-13844. |
MLA | Li, Xiaorong,et al."A Stochastic Approach to Modeling Tidal Creek Evolution: Exploring Environmental Influences on CreekTopologies Through Ensemble Predictions".GEOPHYSICAL RESEARCH LETTERS 46.23(2019):13836-13844. |
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