• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用上下游径流特征和熵评估水位测量站网

Assessment of a Stream Gauge Network Using Upstream and Downstream Runoff Characteristics and Entropy.

作者信息

Joo Hongjun, Jun Hwandon, Lee Jiho, Kim Hung Soo

机构信息

Department of Civil Engineering, Inha University, Incheon 22212, Korea.

Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea.

出版信息

Entropy (Basel). 2019 Jul 10;21(7):673. doi: 10.3390/e21070673.

DOI:10.3390/e21070673
PMID:33267387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7515170/
Abstract

A method for constructing a stream gauge network that reflects upstream and downstream runoff characteristics is assessed. For the construction of an optimal stream gauge network, we develop representative unit hydrographs that reflect such characteristics based on actual rainfall-runoff analysis. Then, the unit hydrographs are converted to probability density functions for application to entropy theory. This allows a comparison between two cases: one that considers the upstream and downstream runoff characteristics of a core dam area in South Korea, and another that uses empirical formula, which is an approach that has been widely used for constructing the stream gauge network. The result suggests that the case of a stream gauge network that considers upstream and downstream runoff characteristics provides more information to deliver, although the number of selected stream gauge stations of this case is less than that of the case that uses the empirical formula. This is probably because the information delivered from the constructed stream gauge network well represents the runoff characteristics of the upstream and downstream stations. The study area, the Chungju Dam basin, requires 12 stream gauge stations out of the current total of 18 stations for an optimal network that reflects both upstream and downstream runoff characteristics.

摘要

评估了一种构建能反映上下游径流特征的水文站网的方法。为构建最优水文站网,我们基于实际降雨径流分析开发了能反映此类特征的代表性单位线。然后,将单位线转换为概率密度函数以应用于熵理论。这使得能够比较两种情况:一种是考虑韩国某核心坝区上下游径流特征的情况,另一种是使用经验公式的情况,经验公式是一种广泛用于构建水文站网的方法。结果表明,考虑上下游径流特征的水文站网情况能提供更多可传递的信息,尽管该情况下所选水文站的数量少于使用经验公式的情况。这可能是因为所构建的水文站网传递的信息很好地代表了上下游站点的径流特征。研究区域忠州大坝流域,要构建一个能反映上下游径流特征的最优网络,在当前总共18个站点中需要12个水文站。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/e6de44b185f6/entropy-21-00673-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/93daae44322e/entropy-21-00673-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/92b641934784/entropy-21-00673-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/10dc5388eb13/entropy-21-00673-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/a7c0ff38d916/entropy-21-00673-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/5c7d744cc0ed/entropy-21-00673-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/e6de44b185f6/entropy-21-00673-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/93daae44322e/entropy-21-00673-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/92b641934784/entropy-21-00673-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/10dc5388eb13/entropy-21-00673-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/a7c0ff38d916/entropy-21-00673-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/5c7d744cc0ed/entropy-21-00673-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b509/7515170/e6de44b185f6/entropy-21-00673-g006.jpg

相似文献

1
Assessment of a Stream Gauge Network Using Upstream and Downstream Runoff Characteristics and Entropy.利用上下游径流特征和熵评估水位测量站网
Entropy (Basel). 2019 Jul 10;21(7):673. doi: 10.3390/e21070673.
2
Derivation of unit and flood hydrographs using a gis.利用 GIS 推求单位线和洪水过程线
Environ Monit Assess. 1992 Dec;23(1-3):45-56. doi: 10.1007/BF00406951.
3
Experimental surface runoff hydrographs from linear impervious subcatchments for rainfalls of extremely high intensity.来自线性不透水子汇水区的极高强度降雨的实验地表径流过程线。
Heliyon. 2024 Jan 14;10(2):e24734. doi: 10.1016/j.heliyon.2024.e24734. eCollection 2024 Jan 30.
4
Evaluating the impact of lower resolutions of digital elevation model on rainfall-runoff modeling for ungauged catchments.评估数字高程模型较低分辨率对无资料流域降雨径流模拟的影响。
Environ Monit Assess. 2017 Feb;189(2):54. doi: 10.1007/s10661-017-5766-0. Epub 2017 Jan 10.
5
Design of Optimal Rainfall Monitoring Network Using Radar and Road Networks.利用雷达和道路网络设计最优降雨监测网络
Entropy (Basel). 2021 Mar 23;23(3):378. doi: 10.3390/e23030378.
6
A kriging and entropy-based approach to raingauge network design.基于克里金和熵的雨量计网络设计方法。
Environ Res. 2018 Feb;161:61-75. doi: 10.1016/j.envres.2017.10.038. Epub 2017 Nov 2.
7
A simple metric to predict stream water quality from storm runoff in an urban watershed.一种从城市流域的暴雨水流中预测水质的简单指标。
J Environ Qual. 2010 Jul-Aug;39(4):1338-48. doi: 10.2134/jeq2010.0013.
8
Evaluation of information transfer and data transfer models of rain-gauge network design based on information entropy.基于信息熵的雨量计网络设计的信息传递和数据传递模型评估。
Environ Res. 2019 Nov;178:108686. doi: 10.1016/j.envres.2019.108686. Epub 2019 Aug 26.
9
Regionalization of rainfall--runoff processes in rice agriculture dominated watersheds.水稻种植为主的流域降雨-径流过程的区域化
Water Sci Technol. 2006;53(10):131-9. doi: 10.2166/wst.2006.306.
10
Optimization of hydrometric monitoring network in urban drainage systems using information theory.基于信息论的城市排水系统水文监测网络优化
Water Sci Technol. 2017 Oct;76(7-8):1603-1613. doi: 10.2166/wst.2017.226.

引用本文的文献

1
Assessing placement bias of the global river gauge network.评估全球河流水位测量网络的布设偏差。
Nat Sustain. 2022 Apr 25;5:586-592. doi: 10.1038/s41893-022-00873-0.
2
Multiscale Analysis of Runoff Complexity in the Yanhe Watershed.延河流域径流复杂性的多尺度分析
Entropy (Basel). 2022 Aug 7;24(8):1088. doi: 10.3390/e24081088.
3
An Early Warning System for Flood Detection Using Critical Slowing Down.利用关键减速现象的洪水检测预警系统
Int J Environ Res Public Health. 2020 Aug 24;17(17):6131. doi: 10.3390/ijerph17176131.