Assessing suspended sediment fluxes with acoustic Doppler current profilers: case study from large rivers in Russia

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
S. Chalov, V. Moreido, V. Ivanov, A. Chalova
{"title":"Assessing suspended sediment fluxes with acoustic Doppler current profilers: case study from large rivers in Russia","authors":"S. Chalov, V. Moreido, V. Ivanov, A. Chalova","doi":"10.1080/20964471.2022.2116834","DOIUrl":null,"url":null,"abstract":"ABSTRACT Surrogate measures are becoming increasingly used to measure suspended sediment flux, but only few particular computer techniques of data processing are recently developed. This study demonstrates capabilities of acoustic Doppler current profilers (ADCPs) to infer information regarding suspended-sand concentrations in river systems and calculate suspended sediment flux via big data analytics which includes process of analyzing and data mining of measurements based on ADCP signal backscatter intensity data. We present here specific codes done by R language using RStudio software with open-source tidyverse and plotly packages aimed to generate tables containing data of suspended load for cells, verticals and whole cross-section based on backscattering values from 600 kH Teledyne RDInstruments RioGrande WorkHorse ADCP unit, as well perform estimates of morphometric, suspended sediment concentration (SSC) and velocity characteristics of the flow. The developed tools enabled to process large data array consisting of over 56,526,480 geo-referenced values of river depth, streamflow velocity, and backscatter intensity for each river cross-section measured at six case study sites in Russia.","PeriodicalId":8765,"journal":{"name":"Big Earth Data","volume":"196 1","pages":"504 - 526"},"PeriodicalIF":4.2000,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Earth Data","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/20964471.2022.2116834","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 4

Abstract

ABSTRACT Surrogate measures are becoming increasingly used to measure suspended sediment flux, but only few particular computer techniques of data processing are recently developed. This study demonstrates capabilities of acoustic Doppler current profilers (ADCPs) to infer information regarding suspended-sand concentrations in river systems and calculate suspended sediment flux via big data analytics which includes process of analyzing and data mining of measurements based on ADCP signal backscatter intensity data. We present here specific codes done by R language using RStudio software with open-source tidyverse and plotly packages aimed to generate tables containing data of suspended load for cells, verticals and whole cross-section based on backscattering values from 600 kH Teledyne RDInstruments RioGrande WorkHorse ADCP unit, as well perform estimates of morphometric, suspended sediment concentration (SSC) and velocity characteristics of the flow. The developed tools enabled to process large data array consisting of over 56,526,480 geo-referenced values of river depth, streamflow velocity, and backscatter intensity for each river cross-section measured at six case study sites in Russia.
用声学多普勒水流剖面仪评估悬浮泥沙通量:来自俄罗斯大河的案例研究
替代测量越来越多地用于测量悬浮泥沙通量,但最近只有少数特定的计算机数据处理技术被开发出来。本研究展示了声学多普勒电流剖面仪(ADCPs)通过大数据分析(包括基于ADCP信号后向散射强度数据的测量分析和数据挖掘过程)推断河流系统中悬浮沙浓度信息并计算悬浮沙通量的能力。本文使用RStudio软件和开源的tidyverse和plotly软件包,用R语言编写了特定的代码,旨在根据600 kH Teledyne RDInstruments RioGrande WorkHorse ADCP单元的后向散射值生成包含单元、垂直和整个横截面悬浮荷载数据的表格,并对水流的形态、悬浮泥沙浓度(SSC)和速度特性进行估计。开发的工具能够处理由超过56,526,480个地理参考值组成的大型数据阵列,这些数据包括在俄罗斯六个案例研究地点测量的河流深度、流速和每条河流横截面的后向散射强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
×
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