Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs

被引:35
作者
Biswas, Nishan Kumar [1 ]
Hossain, Faisal [1 ]
Bonnema, Matthew [2 ]
Lee, Hyongki [3 ]
Chishtie, Farrukh [4 ,5 ]
机构
[1] Univ Washington, Dept Civil & Environm Engn, Wilcox 167,Box 352700, Seattle, WA 98195 USA
[2] NASA, Jet Prop Lab, Earth Sci Div, Pasadena, CA USA
[3] Univ Houston, Dept Civil & Environm Engn, Houston, TX 77204 USA
[4] Asian Disaster Preparedness Ctr ADPC, SERVIR Mekong, Bangkok, Thailand
[5] Spatial Informat Grp LLC, 2529 Yolanda Ct, Pleasanton, CA 94566 USA
基金
欧盟地平线“2020”;
关键词
Reservoir monitoring; Satellite remote sensing; Landsat; Global hydrology; WATER INDEX NDWI; SURFACE-WATER; RIVER; MODEL; BASIN; MANAGEMENT; FLOOD; AVAILABILITY; EASTERN; EARTH;
D O I
10.1016/j.envsoft.2021.105043
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Dam construction in developing nations is on the rise. Monitoring these dams is essential to understanding downstream hydrologic impacts and for better planning and management of water resources. Satellite observations and advancements in information technology now present a unique opportunity to overcome the traditional limitations of reservoir monitoring. In this study, a global reservoir monitoring framework was developed as an online tool for near real-time monitoring and impact analysis of existing and planned reservoirs based on publicly available and global satellite observations. The framework used a mass balance approach to monitor 1598 reservoirs in South America, Africa, and Southeast Asia. Simulated streamflow of the developed tool was validated in 25 river basins against a multidecadal record of in-situ discharge. The simulated storage change was validated against in-situ data from 77 reservoirs. The framework was able to capture reservoir state realistically for more than 75% of these reservoirs. At most in-situ gaging locations, the reservoir tool was able to capture streamflow with a correlation of more than 0.9 and a normalized root mean square error of 50% or less. The tool can now be used to study existing or planned reservoirs for short and long-term decision making and policy analysis.
引用
收藏
页数:14
相关论文
共 66 条
[1]  
Ahmad S., 2019, EOS
[2]   A Fusion Approach for Water Area Classification Using Visible, Near Infrared and Synthetic Aperture Radar for South Asian Conditions [J].
Ahmad, Shahryar K. ;
Hossain, Faisal ;
Eldardiry, Hisham ;
Pavelsky, Tamlin M. .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (04) :2471-2480
[3]   Measuring surface water from space [J].
Alsdorf, Douglas E. ;
Rodriguez, Ernesto ;
Lettenmaier, Dennis P. .
REVIEWS OF GEOPHYSICS, 2007, 45 (02)
[4]  
Ames D.P., 2020, OPEN WATER J, V6
[5]   Monitoring small reservoirs' storage with satellite remote sensing in inaccessible areas [J].
Avisse, Nicolas ;
Tilmant, Amaury ;
Muller, Marc Francois ;
Zhang, Hua .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (12) :6445-6459
[6]   FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015 [J].
Barbarossa, Valerio ;
Huijbregts, Mark A. J. ;
Beusen, Arthur H. W. ;
Beck, Hylke E. ;
King, Henry ;
Schipper, Aafke M. .
SCIENTIFIC DATA, 2018, 5
[7]   Hyper-resolution global hydrological modelling: what is next? "Everywhere and locally relevant" [J].
Bierkens, Marc F. P. ;
Bell, Victoria A. ;
Burek, Peter ;
Chaney, Nathaniel ;
Condon, Laura E. ;
David, Cedric H. ;
de Roo, Ad ;
Doell, Petra ;
Drost, Niels ;
Famiglietti, James S. ;
Floerke, Martina ;
Gochis, David J. ;
Houser, Paul ;
Hut, Rolf ;
Keune, Jessica ;
Kollet, Stefan ;
Maxwell, Reed M. ;
Reager, John T. ;
Samaniego, Luis ;
Sudicky, Edward ;
Sutanudjaja, Edwin H. ;
van de Giesen, Nick ;
Winsemius, Hessel ;
Wood, Eric F. .
HYDROLOGICAL PROCESSES, 2015, 29 (02) :310-320
[8]   An altimeter height extraction technique for dynamically changing rivers of South and South-East Asia [J].
Biswas, Nishan Kumar ;
Hossain, Faisal ;
Bonnema, Matthew ;
Okeowo, Modurodoluwa Adeyinka ;
Lee, Hyongki .
REMOTE SENSING OF ENVIRONMENT, 2019, 221 :24-37
[9]   A scalable open-source web-analytic framework to improve satellite-based operational water management in developing countries [J].
Biswas, Nishan Kumar ;
Hossain, Faisal .
JOURNAL OF HYDROINFORMATICS, 2018, 20 (01) :49-68
[10]   Inferring reservoir operating patterns across the Mekong Basin using only space observations [J].
Bonnema, Matthew ;
Hossain, Faisal .
WATER RESOURCES RESEARCH, 2017, 53 (05) :3791-3810