scholarly journals INFLUENCE ANALYSIS OF OBSERVED RIVER CHANNEL CONDITIONS ON THE INUNDATION PROCESS IN THE LOWER MEKONG RIVER BASIN

2019 ◽  
Vol 7 (1) ◽  
pp. 85-90
Author(s):  
Shun KUDO ◽  
Atsuhiro YOROZUYA ◽  
E. D. P. PERERA ◽  
Hiroshi KOSEKI ◽  
Yoichi IWAMI ◽  
...  
Keyword(s):  
River Basin ◽  
River Channel ◽  
Mekong River ◽  
Mekong River Basin ◽  
Influence Analysis ◽  
Channel Conditions

scholarly journals INFLUENCE ANALYSIS OF OBSERVED RIVER CHANNEL CONDITIONS ON INUNDATION PROCESS IN LOWER MEKONG RIVER BASIN

2016 ◽  
Vol 72 (4) ◽  
pp. I_145-I_150 ◽  
Author(s):  
Shun KUDO ◽  
Atsuhiro YOROZUYA ◽  
E. D. P PERERA ◽  
Hiroshi KOSEKI ◽  
Yoichi IWAMI ◽  
...  
Keyword(s):  
River Basin ◽  
River Channel ◽  
Mekong River ◽  
Mekong River Basin ◽  
Influence Analysis ◽  
Channel Conditions

Inundation Process in the Lower Mekong River Basin

2016 ◽  
Vol 11 (6) ◽  
pp. 1062-1072 ◽  
Author(s):  
Shun Kudo ◽  
◽  
Atsuhiro Yorozuya ◽  
Hiroshi Koseki ◽  
Yoichi Iwami ◽  
...  
Keyword(s):  
Shear Stress ◽  
Hydraulic Resistance ◽  
River Basin ◽  
Water Depth ◽  
Large Scale ◽  
River Channel ◽  
Mekong River ◽  
Mekong River Basin ◽  
Inundation Simulation ◽  
Inundation Extent

This study simulated the inundation process in the Lower Mekong River Basin (LMB). The LMB has suffered from severe floods, especially in 2000 and 2011. To quantify the inundation of water in a basin where large-scale inundation by river water occurs, understanding the conveyance of a river channel during a flood is particularly important. Therefore, we conducted a field survey using an acoustic Doppler current profiler (aDcp) to understand the longitudinal distribution of the width and depth of the river channel and the variation in hydraulic resistance with respect to shear stress on the riverbed. It was found that the width and depth vary longitudinally, and the relationship between them can be estimated by an equation derived from governing equations of water and sediment and the bed load formula. Furthermore, it was revealed that hydraulic resistance decreases with increasing non-dimensional shear stress. Then, the characteristics of the river channel were incorporated into the runoff-inundation simulation. Furthermore, inundation water should be validated not only in terms of inundation extent but also with respect to water depth and velocity. These were estimated using 8-day composite surface reflectance data from the Moderate Resolution Imaging Spectrometer (MODIS) and the SRTM. Simulation results indicated that water level and discharge within the river channel were able to reproduce observed values. Additionally, simulated inundation extent, water velocity, and water depth over the floodplain showed reasonable agreement with the results using the data from the MODIS and the SRTM. Although there are some elements that should be improved, the inundation process in the LMB was simulated appropriately despite its complexity. The method described in this study to set a calculation condition and to validate variables over a floodplain should be useful for runoff-inundation simulation in various large-scale basins.

Intercomparison of ten ISI-MIP models in simulating discharges along the Lancang-Mekong River basin

2021 ◽  
Vol 765 ◽  
pp. 144494
Author(s):  
He Chen ◽  
Junguo Liu ◽  
Ganquan Mao ◽  
Zifeng Wang ◽  
Zhenzhong Zeng ◽  
...  
Keyword(s):  
River Basin ◽  
Mekong River ◽  
Mekong River Basin ◽  
Mip Models

scholarly journals Meteorological and hydrological droughts in Mekong River Basin and surrounding areas under climate change

2021 ◽  
Vol 36 ◽  
pp. 100873
Author(s):  
Yishan Li ◽  
Hui Lu ◽  
Kun Yang ◽  
Wei Wang ◽  
Qiuhong Tang ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Mekong River ◽  
Mekong River Basin ◽  
Surrounding Areas ◽  
Hydrological Droughts

scholarly journals Attribution of Long-Term Evapotranspiration Trends in the Mekong River Basin with a Remote Sensing-Based Process Model

2021 ◽  
Vol 13 (2) ◽  
pp. 303
Author(s):  
Shi Hu ◽  
Xingguo Mo
Keyword(s):  
Remote Sensing ◽  
Water Resources ◽  
Solar Radiation ◽  
River Basin ◽  
Mekong Delta ◽  
Mekong River ◽  
Catchment Management ◽  
Mekong River Basin ◽  
Area Index ◽  
Available Water

Using the Global Land Surface Satellite (GLASS) leaf area index (LAI), the actual evapotranspiration (ETa) and available water resources in the Mekong River Basin were estimated with the Remote Sensing-Based Vegetation Interface Processes Model (VIP-RS). The relative contributions of climate variables and vegetation greening to ETa were estimated with numerical experiments. The results show that the average ETa in the entire basin increased at a rate of 1.16 mm year−2 from 1980 to 2012 (36.7% of the area met the 95% significance level). Vegetation greening contributed 54.1% of the annual ETa trend, slightly higher than that of climate change. The contributions of air temperature, precipitation and the LAI were positive, whereas contributions of solar radiation and vapor pressure were negative. The effects of water supply and energy availability were equivalent on the variation of ETa throughout most of the basin, except the upper reach and downstream Mekong Delta. In the upper reach, climate warming played a critical role in the ETa variability, while the warming effect was offset by reduced solar radiation in the Mekong Delta (an energy-limited region). For the entire basin, the available water resources showed an increasing trend due to intensified precipitation; however, in downstream areas, additional pressure on available water resources is exerted due to cropland expansion with enhanced agricultural water consumption. The results provide scientific basis for practices of integrated catchment management and water resources allocation.

scholarly journals Error Correction of Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Lancang-Mekong River Basin

2021 ◽  
Vol 13 (2) ◽  
pp. 312
Author(s):  
Xiongpeng Tang ◽  
Jianyun Zhang ◽  
Guoqing Wang ◽  
Gebdang Biangbalbe Ruben ◽  
Zhenxin Bao ◽  
...  
Keyword(s):  
Error Correction ◽  
River Basin ◽  
Regional Scale ◽  
Mekong River ◽  
Precipitation Data ◽  
Climate Data ◽  
Hydrological Simulation ◽  
Mekong River Basin ◽  
Precipitation Estimation ◽  
Simulation Results

The demand for accurate long-term precipitation data is increasing, especially in the Lancang-Mekong River Basin (LMRB), where ground-based data are mostly unavailable and inaccessible in a timely manner. Remote sensing and reanalysis quantitative precipitation products provide unprecedented observations to support water-related research, but these products are inevitably subject to errors. In this study, we propose a novel error correction framework that combines products from various institutions. The NASA Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the Asian Precipitation Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), the Climate Hazards group InfraRed Precipitation with Stations (CHIRPS), the Multi-Source Weighted-Ensemble Precipitation Version 1.0 (MSWEP), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Records (PERSIANN) were used. Ground-based precipitation data from 1998 to 2007 were used to select precipitation products for correction, and the remaining 1979–1997 and 2008–2014 observe data were used for validation. The resulting precipitation products MSWEP-QM derived from quantile mapping (QM) and MSWEP-LS derived from linear scaling (LS) are evaluated by statistical indicators and hydrological simulation across the LMRB. Results show that the MSWEP-QM and MSWEP-LS can better capture major annual precipitation centers, have excellent simulation results, and reduce the mean BIAS and mean absolute BIAS at most gauges across the LMRB. The two corrected products presented in this study constitute improved climatological precipitation data sources, both time and space, outperforming the five raw gridded precipitation products. Among the two corrected products, in terms of mean BIAS, MSWEP-LS was slightly better than MSWEP-QM at grid-scale, point scale, and regional scale, and it also had better simulation results at all stations except Strung Treng. During the validation period, the average absolute value BIAS of MSWEP-LS and MSWEP-QM decreased by 3.51% and 3.4%, respectively. Therefore, we recommend that MSWEP-LS be used for water-related scientific research in the LMRB.

scholarly journals River Levels Derived with CryoSat-2 SAR Data Classification—A Case Study in the Mekong River Basin

2017 ◽  
Vol 9 (12) ◽  
pp. 1238 ◽  
Author(s):  
Eva Boergens ◽  
Karina Nielsen ◽  
Ole Andersen ◽  
Denise Dettmering ◽  
Florian Seitz
Keyword(s):  
River Basin ◽  
Data Classification ◽  
Mekong River ◽  
Mekong River Basin ◽  
Sar Data
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