Signatures of Varying Climate on Geomorphic and Topologic Characteristics of Channel Networks

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Aysan H. Bavojdan, Sevil Ranjbar, Dingbao Wang, Arvind Singh
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We use a physically-based numerical landscape evolution model to investigate the channel network structure for varying hillslope and fluvial processes represented by different magnitudes of soil transport (<span data-altimg=\"/cms/asset/995c63ec-1694-4581-963c-6d40c9288038/wrcr70083-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"251\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70083-math-0001.png\"><mjx-semantics><mjx-mrow><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"upper D\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70083:wrcr70083-math-0001\" display=\"inline\" location=\"graphic/wrcr70083-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-role=\"latinletter\" data-semantic-speech=\"upper D\" data-semantic-type=\"identifier\">D</mi></mrow>$D$</annotation></semantics></math></mjx-assistive-mml></mjx-container>) and fluvial incision (<span data-altimg=\"/cms/asset/b95b9be8-7406-4354-872e-563fa492f394/wrcr70083-math-0002.png\"></span><mjx-container ctxtmenu_counter=\"252\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70083-math-0002.png\"><mjx-semantics><mjx-mrow><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"upper K\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70083:wrcr70083-math-0002\" display=\"inline\" location=\"graphic/wrcr70083-math-0002.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-role=\"latinletter\" data-semantic-speech=\"upper K\" data-semantic-type=\"identifier\">K</mi></mrow>$K$</annotation></semantics></math></mjx-assistive-mml></mjx-container>) coefficients. We show that landscapes with the same Péclet number (defined as the ratio of the timescales of advective (fluvial) to diffusive (hillslope) processes) and thus the same characteristic length scale may exhibit different geomorphic and topologic characteristics. Specifically, increasing <i>D</i> and <i>K</i> (mimicking humid conditions) or decreasing <i>D</i> and <i>K</i> (mimicking dry conditions), while keeping the same Péclet number, results in distinct branching structures. These changes lead to an exponential decrease in relief under humid conditions and an increase under dry conditions. For smaller <span data-altimg=\"/cms/asset/42d0f8c6-f5fa-4b14-af22-6057e36826a8/wrcr70083-math-0003.png\"></span><mjx-container ctxtmenu_counter=\"253\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70083-math-0003.png\"><mjx-semantics><mjx-mrow><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"upper D\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70083:wrcr70083-math-0003\" display=\"inline\" location=\"graphic/wrcr70083-math-0003.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-role=\"latinletter\" data-semantic-speech=\"upper D\" data-semantic-type=\"identifier\">D</mi></mrow>$D$</annotation></semantics></math></mjx-assistive-mml></mjx-container> and <span data-altimg=\"/cms/asset/53d68f17-450b-4ade-8f97-d88751a41c8d/wrcr70083-math-0004.png\"></span><mjx-container ctxtmenu_counter=\"254\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70083-math-0004.png\"><mjx-semantics><mjx-mrow><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"upper K\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70083:wrcr70083-math-0004\" display=\"inline\" location=\"graphic/wrcr70083-math-0004.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-role=\"latinletter\" data-semantic-speech=\"upper K\" data-semantic-type=\"identifier\">K</mi></mrow>$K$</annotation></semantics></math></mjx-assistive-mml></mjx-container> combinations, higher number of branching channels is observed, whereas for larger <span data-altimg=\"/cms/asset/cf3630f1-aa25-47b5-b59d-0de1089b55a6/wrcr70083-math-0005.png\"></span><mjx-container ctxtmenu_counter=\"255\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70083-math-0005.png\"><mjx-semantics><mjx-mrow><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"upper D\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70083:wrcr70083-math-0005\" display=\"inline\" location=\"graphic/wrcr70083-math-0005.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-role=\"latinletter\" data-semantic-speech=\"upper D\" data-semantic-type=\"identifier\">D</mi></mrow>$D$</annotation></semantics></math></mjx-assistive-mml></mjx-container> and <span data-altimg=\"/cms/asset/daeabb7d-f8ef-41a6-a386-133e85d55c3a/wrcr70083-math-0006.png\"></span><mjx-container ctxtmenu_counter=\"256\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70083-math-0006.png\"><mjx-semantics><mjx-mrow><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"upper K\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70083:wrcr70083-math-0006\" display=\"inline\" location=\"graphic/wrcr70083-math-0006.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-role=\"latinletter\" data-semantic-speech=\"upper K\" data-semantic-type=\"identifier\">K</mi></mrow>$K$</annotation></semantics></math></mjx-assistive-mml></mjx-container> combinations, higher number of side-branching channels is obtained. These results align with topographic analysis of natural landscapes, suggesting that varying climatic conditions imprint distinct signatures on the branching structure of channel networks.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"31 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2024wr038760","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Channel networks are important landscape features that transport water, sediment, and nutrients. Their emergence and evolution are controlled by the competition between hillslope and fluvial processes on landscapes. Investigating the geomorphic and topologic properties of these networks is crucial for quantifying the roles of processes in creating distinct patterns of channel networks and developing models to predict the network dynamics under changing environment. Here, we study the response of landscapes to changing climatic forcing via numerical-modeling and the topographic analysis of natural landscapes. We use a physically-based numerical landscape evolution model to investigate the channel network structure for varying hillslope and fluvial processes represented by different magnitudes of soil transport (D$D$) and fluvial incision (K$K$) coefficients. We show that landscapes with the same Péclet number (defined as the ratio of the timescales of advective (fluvial) to diffusive (hillslope) processes) and thus the same characteristic length scale may exhibit different geomorphic and topologic characteristics. Specifically, increasing D and K (mimicking humid conditions) or decreasing D and K (mimicking dry conditions), while keeping the same Péclet number, results in distinct branching structures. These changes lead to an exponential decrease in relief under humid conditions and an increase under dry conditions. For smaller D$D$ and K$K$ combinations, higher number of branching channels is observed, whereas for larger D$D$ and K$K$ combinations, higher number of side-branching channels is obtained. These results align with topographic analysis of natural landscapes, suggesting that varying climatic conditions imprint distinct signatures on the branching structure of channel networks.
气候变化对河道网络地貌和地形特征的影响
河道网络是重要的景观特征,运输水、沉积物和营养物质。它们的出现和演变是由斜坡和河流在景观上的竞争控制的。研究这些网络的地貌和拓扑特性对于量化在创建不同渠道网络模式和开发模型以预测变化环境下网络动态过程中的作用至关重要。本文通过数值模拟和自然景观的地形分析,研究了景观对气候强迫变化的响应。本文采用基于物理的数值景观演化模型,研究了以不同土壤输运量(D$D$)和河流切口(K$K$)系数为代表的坡面和河流过程的河道网络结构。研究表明,相同的psamclet数(定义为平流(河流)与扩散(山坡)过程的时间尺度之比)和相同的特征长度尺度可能表现出不同的地貌和地形特征。具体来说,增加D和K(模拟潮湿条件)或减少D和K(模拟干燥条件),同时保持相同的psamclet数,导致不同的分支结构。这些变化导致在潮湿条件下地形起伏呈指数下降,而在干燥条件下地形起伏增加。对于较小的D$D$和K$K$组合,可以观察到更多的分支通道,而对于较大的D$D$和K$K$组合,可以获得更多的侧分支通道。这些结果与自然景观的地形分析相一致,表明不同的气候条件在渠道网络的分支结构上留下了不同的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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