Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing

Obtaining the water volume of small- and medium-sized lakes in enclosed watersheds with scarce data is a global focus of research. River flow into a lake is an important factor affecting the water volume. However, most river flow measurement methods involve long cycles, low efficiency, and transdisc...

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Main Authors: Juan Wang, Shengtian Yang, Huiping Liu, Pengfei Wang, Hezhen Lou, Tongliang Gong
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/4/697
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spelling doaj-212ffa24d3b14d87972639aa9af9ae942021-02-15T00:02:42ZengMDPI AGRemote Sensing2072-42922021-02-011369769710.3390/rs13040697Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote SensingJuan Wang0Shengtian Yang1Huiping Liu2Pengfei Wang3Hezhen Lou4Tongliang Gong5School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaBeijing Key Laboratory of Environmental Remote Sensing and Digital Cities, Beijing Normal University, Beijing 100875, ChinaSchool of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaCollege of Water Sciences, Beijing Normal University, Beijing 100875, ChinaCollege of Water Sciences, Beijing Normal University, Beijing 100875, ChinaEmergency Management Department of Tibet Autonomous Region, Lhasa 850000, ChinaObtaining the water volume of small- and medium-sized lakes in enclosed watersheds with scarce data is a global focus of research. River flow into a lake is an important factor affecting the water volume. However, most river flow measurement methods involve long cycles, low efficiency, and transdisciplinary expertise, making rapid assessments in ungauged basins impossible. This paper proposes a remote sensing flow estimation method based on multi-source remote sensing data, which quickly assesses river flow and provides important input data for lake water volume simulation. The cross-section flow was estimated by extracting the river width. The calculated results were consistent with the measured data, with accuracy greater than 90%. The results compared with daily data measured at hydrological stations, and the Nash coefficient was greater than 0.9. Additionally, the simulation method for lake area, water volume, and water level was constructed using river inflow input data, greatly reducing the parameters required by the conventional lake water volume simulation method. Based on the remote sensing discharge estimation method, we quickly and conveniently obtained changes in river flow into the lake, simulated lake water volume, and provided the basis for water resource management in terminal lake basins with scarce data.https://www.mdpi.com/2072-4292/13/4/697terminal lakeungauged basinsriver dischargelake water volumemulti-source remote sensing data
collection DOAJ
language English
format Article
sources DOAJ
author Juan Wang
Shengtian Yang
Huiping Liu
Pengfei Wang
Hezhen Lou
Tongliang Gong
spellingShingle Juan Wang
Shengtian Yang
Huiping Liu
Pengfei Wang
Hezhen Lou
Tongliang Gong
Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing
Remote Sensing
terminal lake
ungauged basins
river discharge
lake water volume
multi-source remote sensing data
author_facet Juan Wang
Shengtian Yang
Huiping Liu
Pengfei Wang
Hezhen Lou
Tongliang Gong
author_sort Juan Wang
title Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing
title_short Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing
title_full Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing
title_fullStr Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing
title_full_unstemmed Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing
title_sort simulation of lake water volume in ungauged terminal lake basin based on multi-source remote sensing
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-02-01
description Obtaining the water volume of small- and medium-sized lakes in enclosed watersheds with scarce data is a global focus of research. River flow into a lake is an important factor affecting the water volume. However, most river flow measurement methods involve long cycles, low efficiency, and transdisciplinary expertise, making rapid assessments in ungauged basins impossible. This paper proposes a remote sensing flow estimation method based on multi-source remote sensing data, which quickly assesses river flow and provides important input data for lake water volume simulation. The cross-section flow was estimated by extracting the river width. The calculated results were consistent with the measured data, with accuracy greater than 90%. The results compared with daily data measured at hydrological stations, and the Nash coefficient was greater than 0.9. Additionally, the simulation method for lake area, water volume, and water level was constructed using river inflow input data, greatly reducing the parameters required by the conventional lake water volume simulation method. Based on the remote sensing discharge estimation method, we quickly and conveniently obtained changes in river flow into the lake, simulated lake water volume, and provided the basis for water resource management in terminal lake basins with scarce data.
topic terminal lake
ungauged basins
river discharge
lake water volume
multi-source remote sensing data
url https://www.mdpi.com/2072-4292/13/4/697
work_keys_str_mv AT juanwang simulationoflakewatervolumeinungaugedterminallakebasinbasedonmultisourceremotesensing
AT shengtianyang simulationoflakewatervolumeinungaugedterminallakebasinbasedonmultisourceremotesensing
AT huipingliu simulationoflakewatervolumeinungaugedterminallakebasinbasedonmultisourceremotesensing
AT pengfeiwang simulationoflakewatervolumeinungaugedterminallakebasinbasedonmultisourceremotesensing
AT hezhenlou simulationoflakewatervolumeinungaugedterminallakebasinbasedonmultisourceremotesensing
AT tonglianggong simulationoflakewatervolumeinungaugedterminallakebasinbasedonmultisourceremotesensing
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