Cargando…

Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data

The Danjiangkou Reservoir (DJKR) is the freshwater source for the Middle Route of the South-to-North Water Diversion Project in China, and its water level and storage changes are important for water resource management. To maximize the potential capacity of the Gravity Recovery and Climate Experimen...

Descripción completa

Detalles Bibliográficos
Autores principales: Chao, Nengfang, Chen, Gang, Luo, Zhicai, Su, Xiaoli, Wang, Zhengtao, Li, Fupeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721160/
https://www.ncbi.nlm.nih.gov/pubmed/31405183
http://dx.doi.org/10.3390/s19163510
_version_ 1783448283374419968
author Chao, Nengfang
Chen, Gang
Luo, Zhicai
Su, Xiaoli
Wang, Zhengtao
Li, Fupeng
author_facet Chao, Nengfang
Chen, Gang
Luo, Zhicai
Su, Xiaoli
Wang, Zhengtao
Li, Fupeng
author_sort Chao, Nengfang
collection PubMed
description The Danjiangkou Reservoir (DJKR) is the freshwater source for the Middle Route of the South-to-North Water Diversion Project in China, and its water level and storage changes are important for water resource management. To maximize the potential capacity of the Gravity Recovery and Climate Experiment (GRACE) mission, an improved Lagrange multiplier method (ILMM) is first proposed to detect terrestrial water storage anomalies (TWSA) in the small-scale basin (DJKR). Moreover, for the first time, water diversion fingerprints are proposed to analyze the spatiotemporal pattern of the TWSA in the DJKR. The results indicate that the increased water level and storage signals due to the DJKR impoundment in 2014 can be effectively detected by using the ILMM, and they agree well with the results from altimetry and in situ data. Additionally, the water diversion fingerprints due to the DJKR impoundment are inferred, and describe the progression of spatiotemporal variability in water storage. The results show that water storage decreased in the upper Hanjiang River and increased in the DJKR as well as to the east of it during the period 2013–2015. Our research provides a scientific decision-making basis for monitoring the water resources of the DJKR and managing the South-to-North Water Diversion Project.
format Online
Article
Text
id pubmed-6721160
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-67211602019-09-10 Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data Chao, Nengfang Chen, Gang Luo, Zhicai Su, Xiaoli Wang, Zhengtao Li, Fupeng Sensors (Basel) Article The Danjiangkou Reservoir (DJKR) is the freshwater source for the Middle Route of the South-to-North Water Diversion Project in China, and its water level and storage changes are important for water resource management. To maximize the potential capacity of the Gravity Recovery and Climate Experiment (GRACE) mission, an improved Lagrange multiplier method (ILMM) is first proposed to detect terrestrial water storage anomalies (TWSA) in the small-scale basin (DJKR). Moreover, for the first time, water diversion fingerprints are proposed to analyze the spatiotemporal pattern of the TWSA in the DJKR. The results indicate that the increased water level and storage signals due to the DJKR impoundment in 2014 can be effectively detected by using the ILMM, and they agree well with the results from altimetry and in situ data. Additionally, the water diversion fingerprints due to the DJKR impoundment are inferred, and describe the progression of spatiotemporal variability in water storage. The results show that water storage decreased in the upper Hanjiang River and increased in the DJKR as well as to the east of it during the period 2013–2015. Our research provides a scientific decision-making basis for monitoring the water resources of the DJKR and managing the South-to-North Water Diversion Project. MDPI 2019-08-10 /pmc/articles/PMC6721160/ /pubmed/31405183 http://dx.doi.org/10.3390/s19163510 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chao, Nengfang
Chen, Gang
Luo, Zhicai
Su, Xiaoli
Wang, Zhengtao
Li, Fupeng
Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data
title Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data
title_full Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data
title_fullStr Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data
title_full_unstemmed Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data
title_short Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data
title_sort detecting water diversion fingerprints in the danjiangkou reservoir from satellite gravimetry and altimetry data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721160/
https://www.ncbi.nlm.nih.gov/pubmed/31405183
http://dx.doi.org/10.3390/s19163510
work_keys_str_mv AT chaonengfang detectingwaterdiversionfingerprintsinthedanjiangkoureservoirfromsatellitegravimetryandaltimetrydata
AT chengang detectingwaterdiversionfingerprintsinthedanjiangkoureservoirfromsatellitegravimetryandaltimetrydata
AT luozhicai detectingwaterdiversionfingerprintsinthedanjiangkoureservoirfromsatellitegravimetryandaltimetrydata
AT suxiaoli detectingwaterdiversionfingerprintsinthedanjiangkoureservoirfromsatellitegravimetryandaltimetrydata
AT wangzhengtao detectingwaterdiversionfingerprintsinthedanjiangkoureservoirfromsatellitegravimetryandaltimetrydata
AT lifupeng detectingwaterdiversionfingerprintsinthedanjiangkoureservoirfromsatellitegravimetryandaltimetrydata