| Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data | |
| Duan, Zheng1; Gao, Hongkai2,3,4; Ke, Changqing5,6,7 | |
| 2018-07-01 | |
| Source Publication | REMOTE SENSING
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| ISSN | 2072-4292 |
| Volume | 10Issue:7Pages:21 |
| Abstract | Lake Tana is the largest lake in Ethiopia, and its lake outflow is the source of the Blue Nile River that provides vital water resources for many livelihoods and downstream/international stakeholders. Therefore, it is essential to quantify and monitor the water balance of Lake Tana. However, Lake Tana is poorly gauged, with more than 50% of Lake Tana Basin being ungauged from in-situ measurements, making it difficult to quantify the lake inflow from surrounding basins. The lack of in-situ measurements highlights the need for the innovative application of satellite remote sensing. This study explores how freely accessible satellite remote sensing can be used to complement routine weather data to quantify the water balance of Lake Tana and its surrounding catchments. This study particularly investigates whether the outflow from Lake Tana can be estimated with sufficient accuracy as the residual of the lake water balance. Monthly inflow into lake was computed as the total runoff from the surrounding catchments; the runoff was estimated as the residual of the land-based catchment water balance using satellite precipitation improved with an integrated downscaling-calibration procedure, satellite evapotranspiration, and a correction term for changes in land total storage (soil moisture storage and deep percolation). The outflow from Lake Tana was estimated as the residual of lake water balance by combining satellite-based lake precipitation, changes in water storage, and lake inflow with estimated lake evaporation. Evaluation using limited available measurements showed that estimated annual runoff for two gauged subbasins agreed well with measurements, with differences within 4%. The estimated annual outflow from Lake Tana was also close to measured outflow, with a difference of 12%. However, the estimated monthly runoff from catchments and monthly lake outflow were unsatisfactory, with large errors. |
| Keyword | Lake Tana reservoir water balance ungauged Blue Nile integration |
| DOI | 10.3390/rs10071060 |
| WOS Keyword | WATER STORAGE CHANGES ; BLUE NILE BASIN ; IMAGERY DATA ; RIVER-BASIN ; SWAT MODEL ; BALANCE ; ALTIMETRY ; EVAPOTRANSPIRATION ; VICTORIA ; RAINFALL |
| Language | 英语 |
| Funding Project | National Key R&D Program of China[2017YFE0100700] ; Key Laboratory for Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences[KLMHESP-17-02] ; German Research Foundation (DFG) ; Technical University of Munich (TUM) |
| WOS Research Area | Remote Sensing |
| WOS Subject | Remote Sensing |
| WOS ID | WOS:000440332500083 |
| Funding Organization | National Key R&D Program of China ; Key Laboratory for Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences ; German Research Foundation (DFG) ; Technical University of Munich (TUM) |
| Publisher | MDPI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imde.ac.cn/handle/131551/23495 |
| Collection | 山地灾害与地表过程重点实验室 |
| Corresponding Author | Gao, Hongkai |
| Affiliation | 1.Tech Univ Munich, Chair Hydrol & River Basin Management, Arcisstr 21, D-80333 Munich, Germany 2.East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China 3.East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China 4.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China 5.Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China 6.Nanjing Univ, Key Lab Satellite Mapping Technol & Applicat, State Adm Surveying Mapping & Geoinformat China, Nanjing 210023, Jiangsu, Peoples R China 7.Collaborat Innovat Ctr Novel Software Technol & I, Nanjing 210023, Jiangsu, Peoples R China |
| Corresponding Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
| Recommended Citation GB/T 7714 | Duan, Zheng,Gao, Hongkai,Ke, Changqing. Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data[J]. REMOTE SENSING,2018,10(7):21. |
| APA | Duan, Zheng,Gao, Hongkai,&Ke, Changqing.(2018).Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data.REMOTE SENSING,10(7),21. |
| MLA | Duan, Zheng,et al."Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data".REMOTE SENSING 10.7(2018):21. |
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| remotesensing-10-010（1617KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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