GSTDTAP  > 资源环境科学
DOI10.1029/2018WR024083
Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2-D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection
Costabile, Pierfranco1; Costanzo, Carmelina1; De Bartolo, Samuele2; Gangi, Fabiola1; Macchione, Francesco1; Tomasicchio, Giuseppe R.2
2019-09-09
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2019
卷号55期号:9页码:7717-7752
文章类型Article
语种英语
国家Italy
英文摘要

This paper is focused on the contribution that the two-dimensional Shallow Water Equations could provide in respect to the fields of research devoted to the river networks analysis. The novelty introduced in this work is represented, in particular, by the hydraulic characterization of the river drainage networks, starting from flow patterns simulated by the two-dimensional Shallow Water Equations on high-resolution digital elevation model (DEM) through the analysis of water depths flowing down the hillslopes, channelized in both the main river and in all the tributaries or stored in small depressions. The first finding of this research is the determination of scaling laws that describe the relations between the water depth threshold, used to identify the network cells, and a dimensionless area, related to the total area of the network cells themselves. The observed bimodal scaling behavior has been considered as representative of the flow patterns belonging to the channel networks (CN) and hillslope plus channel networks (HCN), the physical and geomorphological interpretation of which has been provided from a multifractal point of view. In particular, the analysis of the multifractal spectra highlights significant variations in the multifractal signatures, between the CN and the HCN structures, leading to the proposal of a novel criterion for channels heads detection that has provided encouraging predictions of field observations.


英文关键词shallow water equations river networks multifractal spectra scaling overland flow channel heads
领域资源环境
收录类别SCI-E
WOS记录号WOS:000487407000001
WOS关键词HIGH-RESOLUTION TOPOGRAPHY ; DIGITAL ELEVATION MODELS ; OVERLAND-FLOW ; DRAINAGE NETWORKS ; EXTRACTION ; EQUATIONS ; URBAN ; EFFICIENT ; GEOMETRY ; ENERGY
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/186971
专题资源环境科学
作者单位1.Univ Calabria, Dept Environm & Chem Engn, LAMPIT Lab Modellist Numer Protez Idraul Terr, Arcavacata Di Rende, Italy;
2.Univ Salento, Dept Engn Innovat, Lecce, Italy
推荐引用方式
GB/T 7714
Costabile, Pierfranco,Costanzo, Carmelina,De Bartolo, Samuele,et al. Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2-D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection[J]. WATER RESOURCES RESEARCH,2019,55(9):7717-7752.
APA Costabile, Pierfranco,Costanzo, Carmelina,De Bartolo, Samuele,Gangi, Fabiola,Macchione, Francesco,&Tomasicchio, Giuseppe R..(2019).Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2-D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection.WATER RESOURCES RESEARCH,55(9),7717-7752.
MLA Costabile, Pierfranco,et al."Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2-D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection".WATER RESOURCES RESEARCH 55.9(2019):7717-7752.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Costabile, Pierfranco]的文章
[Costanzo, Carmelina]的文章
[De Bartolo, Samuele]的文章
百度学术
百度学术中相似的文章
[Costabile, Pierfranco]的文章
[Costanzo, Carmelina]的文章
[De Bartolo, Samuele]的文章
必应学术
必应学术中相似的文章
[Costabile, Pierfranco]的文章
[Costanzo, Carmelina]的文章
[De Bartolo, Samuele]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。