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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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 |
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