Dynamic Monitoring of Poyang Lake Water Area and Storage Changes from 2002 to 2022 via Remote Sensing and Satellite Gravimetry Techniques

被引:4
作者
Wang, Fengwei [1 ,2 ]
Zhou, Qing [3 ]
Gao, Haipeng [4 ]
Wen, Yanlin [1 ,5 ]
Zhou, Shijian [6 ]
机构
[1] Shanghai Sheshan Natl Geophys Observ, Shanghai 201602, Peoples R China
[2] Tongji Univ, State Key Lab Marine Geol, Shanghai 200092, Peoples R China
[3] East China Univ Technol, Sch Surveying & Geoinformat Engn, Nanchang 330013, Peoples R China
[4] Bayan Nur Nat Resources Surveying & Mapping Inst, Bayannur 015000, Peoples R China
[5] Shanghai Earthquake Agcy, Shanghai 200062, Peoples R China
[6] Nanchang Hangkong Univ, Sch Software, Nanchang 330063, Peoples R China
关键词
water area; Landsat; GRACE/GRACE-FO; terrestrial water storage; Poyang Lake; INDEX NDWI; DELINEATION;
D O I
10.3390/rs16132408
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The monitoring of Poyang Lake water area and storage changes using remote sensing and satellite gravimetry techniques is valuable for maintaining regional water resource security and addressing the challenges of global climate change. In this study, remote sensing datasets from Landsat images (Landsat 5, 7, 8 and 9) and three Gravity Recovery and Climate Experiment (GRACE) and Gravity Follow-on (GRACE-FO) mascon solutions were jointly used to evaluate the water area and storage changes in response to global and regional climate changes. The results showed that seasonal characteristics existed in the terrestrial water storage (TWS) and water area changes of Poyang Lake, with nearly no significant long-term trend, for the period from April 2002 to December 2022. Poyang Lake exhibited the largest water area in June and July every year and then demonstrated a downward trend, with relatively smaller water areas in January and November, confirmed by the estimated TWS changes. For the flood (August 2010) and drought (September 2022) events, the water area changes are 3032 km2 and 813.18 km2, with those estimated TWS changes 17.37 cm and -17.46 cm, respectively. The maximum and minimum Poyang Lake area differences exceeded 2700 km2. The estimated terrestrial water storage changes in Poyang Lake derived from the three GRACE/GRACE-FO mascon solutions agreed well, with all correlation coefficients higher than 0.92. There was a significant positive correlation higher than 0.75 between the area and TWS changes derived from the two independent monitoring techniques. Therefore, it is reasonable to conclude that combined remote sensing with satellite gravimetric techniques can better interpret the response of Poyang Lake to climate change from the aspects of water area and TWS changes more efficiently.
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页数:11
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共 32 条
[21]   Contributions of GRACE to understanding climate change [J].
Tapley, Byron D. ;
Watkins, Michael M. ;
Flechtner, Frank ;
Reigber, Christoph ;
Bettadpur, Srinivas ;
Rodell, Matthew ;
Sasgen, Ingo ;
Famiglietti, James S. ;
Landerer, Felix W. ;
Chambers, Don P. ;
Reager, John T. ;
Gardner, Alex S. ;
Save, Himanshu ;
Ivins, Erik R. ;
Swenson, Sean C. ;
Boening, Carmen ;
Dahle, Christoph ;
Wiese, David N. ;
Dobslaw, Henryk ;
Tamisiea, Mark E. ;
Velicogna, Isabella .
NATURE CLIMATE CHANGE, 2019, 9 (05) :358-369
[22]   Water Area Variation and River-Lake Interactions in the Poyang Lake from 1977-2021 [J].
Tian, Biqing ;
Gao, Peng ;
Mu, Xingmin ;
Zhao, Guangju .
REMOTE SENSING, 2023, 15 (03)
[23]   Interaction of groundwater with Lake Urmia in Iran [J].
Vaheddoost, Babak ;
Aksoy, Hafzullah .
HYDROLOGICAL PROCESSES, 2018, 32 (21) :3283-3295
[24]   Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons [J].
Watkins, Michael M. ;
Wiese, David N. ;
Yuan, Dah-Ning ;
Boening, Carmen ;
Landerer, Felix W. .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2015, 120 (04) :2648-2671
[25]   Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution [J].
Wiese, David N. ;
Landerer, Felix W. ;
Watkins, Michael M. .
WATER RESOURCES RESEARCH, 2016, 52 (09) :7490-7502
[26]   Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery [J].
Xu, Hanqiu .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (14) :3025-3033
[27]   Assessing water storage changes of Lake Poyang from multi-mission satellite data and hydrological models [J].
Xu, Yuyue ;
Li, Jin ;
Wang, Jida ;
Chen, Jianli ;
Liu, Yuanbo ;
Ni, Shengnan ;
Zhang, Zizhan ;
Ke, Changqing .
JOURNAL OF HYDROLOGY, 2020, 590
[28]   Factors influencing water level changes in China's largest freshwater lake, Poyang Lake, in the past 50 years [J].
Ye, Xuchun ;
Li, Yunliang ;
Li, Xianghu ;
Zhang, Qi .
WATER INTERNATIONAL, 2014, 39 (07) :983-999
[29]   The Effects of Lake Level and Area Changes of Poyang Lake on the Local Weather [J].
Zan, Yulu ;
Gao, Yanhong ;
Jiang, Yingsha ;
Pan, Yongjie ;
Li, Xia ;
Su, Peixi .
ATMOSPHERE, 2022, 13 (09)
[30]   A new method of data transformation for satellite images: I. Methodology and transformation equations for TM images [J].
Zeng, Z. Y. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (18) :4095-4124