基于dem的河流断面提取与一维流场模拟——以日本平川河上游为例

IF 0.6 Q4 WATER RESOURCES
Tomohiro Tanaka, H. Yoshioka, Y. Yoshioka
{"title":"基于dem的河流断面提取与一维流场模拟——以日本平川河上游为例","authors":"Tomohiro Tanaka, H. Yoshioka, Y. Yoshioka","doi":"10.3178/hrl.15.71","DOIUrl":null,"url":null,"abstract":": Simulating streamflow under both high-and low-flows is required for versatile eco-hydrological modeling. Typical streamflow simulators require hydrological data such as river geometry and observed river discharge/water level as upstream/downstream boundary conditions. However, these are not always available in data-sparse regions. Further‐ more, because of the potential inaccuracy of digital eleva‐ tion model (DEM) data around water surfaces, this data has not generally been utilized in streamflow simulations. Therefore, this study explores the potential applicability of DEM data to extract river cross-sections, focusing on the upstream Hiikawa River, Japan. A 1-D streamflow simula‐ tion was performed using river cross-sections extracted from a 5 m LiDAR DEM and the observed dam discharge from 2018 to 2020 as the upstream boundary condition. The simulated water depths with Manning’s roughness coefficients of 0.03 to 0.05 m –1/3 s reproduce the observa‐ tion results with Nash-Sutcliffe coefficients of 0.91–0.97 for the whole period and 0.60–0.97 for a flood event. The accurate results for both low and high flows were consid‐ ered to reflect the reasonable representations of the river cross-section. Finally, the velocity-based suitability index for Ayu ( P. altivelis ) was evaluated. We demonstrate appli‐ cability and several possible limitations of DEM data for eco-hydrological modeling of data-scarce rivers.","PeriodicalId":13111,"journal":{"name":"Hydrological Research Letters","volume":"1 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"DEM-based river cross-section extraction and 1-D streamflow simulation for eco-hydrological modeling: a case study in upstream Hiikawa River, Japan\",\"authors\":\"Tomohiro Tanaka, H. Yoshioka, Y. Yoshioka\",\"doi\":\"10.3178/hrl.15.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Simulating streamflow under both high-and low-flows is required for versatile eco-hydrological modeling. Typical streamflow simulators require hydrological data such as river geometry and observed river discharge/water level as upstream/downstream boundary conditions. However, these are not always available in data-sparse regions. Further‐ more, because of the potential inaccuracy of digital eleva‐ tion model (DEM) data around water surfaces, this data has not generally been utilized in streamflow simulations. Therefore, this study explores the potential applicability of DEM data to extract river cross-sections, focusing on the upstream Hiikawa River, Japan. A 1-D streamflow simula‐ tion was performed using river cross-sections extracted from a 5 m LiDAR DEM and the observed dam discharge from 2018 to 2020 as the upstream boundary condition. The simulated water depths with Manning’s roughness coefficients of 0.03 to 0.05 m –1/3 s reproduce the observa‐ tion results with Nash-Sutcliffe coefficients of 0.91–0.97 for the whole period and 0.60–0.97 for a flood event. The accurate results for both low and high flows were consid‐ ered to reflect the reasonable representations of the river cross-section. Finally, the velocity-based suitability index for Ayu ( P. altivelis ) was evaluated. We demonstrate appli‐ cability and several possible limitations of DEM data for eco-hydrological modeling of data-scarce rivers.\",\"PeriodicalId\":13111,\"journal\":{\"name\":\"Hydrological Research Letters\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Research Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3178/hrl.15.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Research Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3178/hrl.15.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 4

摘要

:多用途的生态水文模型需要同时模拟高流量和低流量下的水流。典型的溪流模拟器需要水文数据,如河流几何形状和观察到的河流流量/水位作为上游/下游边界条件。然而,这些在数据稀疏的区域并不总是可用的。此外,由于水面附近的数字高程模型(DEM)数据可能存在不准确性,因此该数据通常未用于水流模拟。因此,本研究以日本Hiikawa河上游为研究对象,探讨了DEM数据在河流断面提取中的潜在适用性。利用从5 m LiDAR DEM中提取的河流断面和2018 - 2020年观测到的水坝流量作为上游边界条件,进行了一维水流模拟。Manning粗糙度系数为0.03 ~ 0.05 m -1/3 s的模拟水深再现了整个时期的Nash-Sutcliffe系数为0.91 ~ 0.97,一次洪水事件的Nash-Sutcliffe系数为0.60 ~ 0.97的观测结果。低流量和高流量的准确结果被认为反映了河流断面的合理表征。最后,对基于速度的阿玉适宜性指数进行了评价。我们展示了DEM数据在数据稀缺河流生态水文建模中的适用性和几个可能的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEM-based river cross-section extraction and 1-D streamflow simulation for eco-hydrological modeling: a case study in upstream Hiikawa River, Japan
: Simulating streamflow under both high-and low-flows is required for versatile eco-hydrological modeling. Typical streamflow simulators require hydrological data such as river geometry and observed river discharge/water level as upstream/downstream boundary conditions. However, these are not always available in data-sparse regions. Further‐ more, because of the potential inaccuracy of digital eleva‐ tion model (DEM) data around water surfaces, this data has not generally been utilized in streamflow simulations. Therefore, this study explores the potential applicability of DEM data to extract river cross-sections, focusing on the upstream Hiikawa River, Japan. A 1-D streamflow simula‐ tion was performed using river cross-sections extracted from a 5 m LiDAR DEM and the observed dam discharge from 2018 to 2020 as the upstream boundary condition. The simulated water depths with Manning’s roughness coefficients of 0.03 to 0.05 m –1/3 s reproduce the observa‐ tion results with Nash-Sutcliffe coefficients of 0.91–0.97 for the whole period and 0.60–0.97 for a flood event. The accurate results for both low and high flows were consid‐ ered to reflect the reasonable representations of the river cross-section. Finally, the velocity-based suitability index for Ayu ( P. altivelis ) was evaluated. We demonstrate appli‐ cability and several possible limitations of DEM data for eco-hydrological modeling of data-scarce rivers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.90
自引率
18.20%
发文量
9
审稿时长
10 weeks
期刊介绍: Hydrological Research Letters (HRL) is an international and trans-disciplinary electronic online journal published jointly by Japan Society of Hydrology and Water Resources (JSHWR), Japanese Association of Groundwater Hydrology (JAGH), Japanese Association of Hydrological Sciences (JAHS), and Japanese Society of Physical Hydrology (JSPH), aiming at rapid exchange and outgoing of information in these fields. The purpose is to disseminate original research findings and develop debates on a wide range of investigations on hydrology and water resources to researchers, students and the public. It also publishes reviews of various fields on hydrology and water resources and other information of interest to scientists to encourage communication and utilization of the published results. The editors welcome contributions from authors throughout the world. The decision on acceptance of a submitted manuscript is made by the journal editors on the basis of suitability of subject matter to the scope of the journal, originality of the contribution, potential impacts on societies and scientific merit. Manuscripts submitted to HRL may cover all aspects of hydrology and water resources, including research on physical and biological sciences, engineering, and social and political sciences from the aspects of hydrology and water resources.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信