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Satellite Observations and Modeling to Understand the Lower Mekong River Basin Streamflow VariabilityIn this work, we have used the Soil & Water Assessment Tool (SWAT) to examine streamflow variability of the Lower Mekong River Basin (LMRB) associated with changes in the Upper Mekong River Basin (UMRB) inflows. Two hypothetical experiments were formulated and evaluated for the LMRB, where we conducted runoff simulations with multiple inflow changes that include upstream runoff yield increase and decrease scenarios. Streamflow variability of the LMRB was quantified by two streamflow metrics that explain flow variability and predictability, and high flow disturbance. The model experiments were performed for the Lower Mekong River Basin with identical climate, soil, and other watershed characteristics data. Remote sensing precipitation (Tropical Rainfall Measurement Mission, TRMM, and Global Precipitation Measurement mission, GPM), meteorological data as well as spatial data that include a digital elevation model, newly developed soil information (Harmonized World Soil Database, HWSD), and land use and land cover were processed as input to the LMRB model simulations. Observed daily streamflow data along the Lower Mekong River from Chiang Sean, Thailand to Kratie, Cambodia were used for calibration and validation. Our work results suggest that the Lower Mekong River streamflow is highly variable and has a low predictability (Colwell index of about 32%). We found that releasing more water from upstream Mekong during rainfall months by 30% would result in a reduction in the Lower Mekong streamflow predictability by about 21%. This reduction in predictability is mainly attributed to a decrease in the Contingency index. Our work shows that the ability to predict floods/droughts at the Lower Mekong River would be reduced if there is any anticipated change (i.e., increase/decrease) from UMRB releases. Our results also show that releasing more flows from the upstream Mekong would also affect flood duration and the frequency of flood occurrences downstream. The results of this work thus help to quantify the sensitivity of streamflow variability at the Lower Mekong River Basin to upstream anthropogenic changes.
Document ID
20180005496
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
External Source(s)
Authors
Ibrahim Nourein Mohammed
(Science Applications International Corporation (United States) McLean, Virginia, United States)
John D. Bolten
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Raghavan Srinivasan
(Texas A&M University - College Station College Station, TX, United States)
Venkat Lakshmi
(University of South Carolina, Columbia SC Columbia, SC, United States)
Date Acquired
September 24, 2018
Publication Date
July 24, 2018
Publication Information
Publication: Journal of Hydrology
Publisher: Elsevier
Volume: 564
Issue Publication Date: September 1, 2018
ISSN: 0022-1694
e-ISSN: 1879-2707
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN59184
E-ISSN: 1879-2707
Report Number: GSFC-E-DAA-TN59184
ISSN: 0022-1694
Funding Number(s)
CONTRACT_GRANT: NNX16AT86G
CONTRACT_GRANT: NNX16AT88G
PROJECT: SCMD-EarthScienceSystem_970315
CONTRACT_GRANT: NNG15HQ01C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
Streamflow Predictability
Streamflow Variability
Mekong River
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