Hydrological model using ground- and satellite-based data for river flow simulation towards supporting water resource management in the Red River Basin, Vietnam

Hiep, Nguyen Hoang; Luong, Nguyen Hoang; Nga, Tran Thi Viet; Hieu, Bui Thi; Ha, U T T; Duong, Bui Du; Long, Vu Duc; Hossain, Faisal; Lee, Hyongki

doi:10.1016/j.jenvman.2018.03.100

Cited by 20 publications

(14 citation statements)

References 40 publications

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“…VIC [11] is a macroscale hydrologic model that solves full water and energy balances, originally developed by Xu Liang at the University of Washington. We referred to the study case of the VIC model in neighboring regions [30,31] and assigned the four soil parameter values as follows: The Ds max is the maximum baseflow that can occur from the lowest soil layer, which is estimated based on the calculated saturated hydraulic conductivity at each grid. b infilt defines the shape of the VIC curve, to which we assigned the value 0.2.…”

Section: Land Cover and Soil Datasetmentioning

confidence: 99%

Evaluation and Hydrological Application of TRMM and GPM Precipitation Products in a Tropical Monsoon Basin of Thailand

Shi

et al. 2019

Water

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Watershed runoff is essential for water management. However, runoff materials are lacking in poorly gauged catchments and not always accessible. Microwave remote sensing offers emerging capabilities for hydrological simulation. In this study based on multi-satellite retrievals for Global Precipitation Measurement (IMERG), Tropical Rainfall Measuring Mission (TRMM) products, and World Meteorological Organization (WMO) interpolated precipitation data, we simulated runoff using a variable infiltration capacity (VIC) model and studied the differences among the results. Then, we analyzed the impacts of the runoff on a moderate-resolution imaging spectroradiometer vegetation leaf area index (LAI) during dry seasons. The results showed that (1) IMERG V5 and TRMM products are capable of monitoring the night-day rainfall diurnal cycle and have higher correlations than the WMO daily observation interpolations. However, the WMO shows less overestimation of total precipitation than remote-sensing precipitation; (2) in the downstream, the TRMM shows better runoff simulation accuracy in the tributaries, and the WMO shows better results in the mainstreams. Therefore, at basin outlets in mainstreams, the Nash-Sutcliffe efficiency coefficients of monthly runoff by the WMO are higher than the simulations by the TRMM; (3) for the whole basin during dry seasons, the LAI variation is correlated with the outlet runoff, which is similar to the correlation with threeto six-month accumulated precipitation. TRMM products can be used to depict both precipitation deficit and runoff deficit, which cause vegetation variations. Our research suggests the potential of microwave precipitation products for detailed watershed runoff simulations and water management.Water 2019, 11, 818 2 of 15 vegetation conditions, such as the normalized difference vegetation index (NDVI), a measure of the greenness or vigor of vegetation. The higher its value, the larger the vegetation density is; a low NDVI indicates stressed or small-leaf vegetation [3]. However, the NDVI can often be saturated across densely vegetated regions or during high-growth periods [4], whereas the leaf area index (LAI) has been shown to be more effective for drought monitoring [5,6]. Previous studies have shown that the multi-temporal accumulation precipitation index has a strong correlation with vegetation response [7][8][9]. The evolution of meteorological hydrological factors affects vegetation growth [10]. Both factors-precipitation and runoff-that cause variations in the vegetation LAI, should be examined separately.Dynamic watershed runoff is essential to the water supply, irrigation management, and accurate flood prediction and control. River discharge at a site is an integrated signal of water cycle processes over the catchment. However, many catchments lack runoff observation. A hydrological model is an important tool to understand water cycle processing and to fill the gaps of runoff information. The simulation accuracy mainly depends on model mechanisms and data input. The th...

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Section: Land Cover and Soil Datasetmentioning

confidence: 99%

Evaluation and Hydrological Application of TRMM and GPM Precipitation Products in a Tropical Monsoon Basin of Thailand

Shi

et al. 2019

Water

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“…The RRB is shared by three countries including China, Vietnam, and Lao's PDR with a total watershed area about 169,020 km 2 with 81,240 km 2 (48%) in China, 1100 km 2 (0.65%) in Laos, and 86,660 km 2 (51.35%) in Vietnam [19]. The Red River with its main branch of approximately 1140 km in length, rises in a mountainous region of Southeastern China, flows into Vietnam near Lao Cai province, and flows eastward into the Tonkin Bay.…”

Section: Study Areamentioning

confidence: 99%

“…The VIC is a macroscale and semidistributed hydrological model based on the grid cell platform. The VIC model can solve both water and energy balance equations to estimate various parameters in the water cycle of the Earth including runoff, soil moisture, infiltration, and evapotranspiration at each grid cell with daily or subdaily interval [8,19]. In another word, these hydrometeorological parameters were derived from the VIC diagnostic output in this study.…”

Section: Vic Soil Moisture Simulationmentioning

confidence: 99%

Investigating the Spatio-Temporal Variation of Soil Moisture and Agricultural Drought towards Supporting Water Resources Management in the Red River Basin of Vietnam

2021

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The increasing serious droughts recently might have significant impacts on socioeconomic development in the Red River basin (RRB). This study applied the variable infiltration capacity (VIC) model to investigate spatio-temporal dynamics of soil moisture in the northeast, northwest, and Red River Delta (RRD) regions of the RRB part belongs to territory of Vietnam. The soil moisture dataset simulated for 10 years (2005–2014) was utilized to establish the soil moisture anomaly percentage index (SMAPI) for assessing intensity of agricultural drought. Soil moisture appeared to co-vary with precipitation, air temperature, evapotranspiration, and various features of land cover, topography, and soil type in three regions of the RRB. SMAPI analysis revealed that more areas in the northeast experienced severe droughts compared to those in other regions, especially in the dry season and transitional months. Meanwhile, the northwest mainly suffered from mild drought and a slightly wet condition during the dry season. Different from that, the RRD mainly had moderately to very wet conditions throughout the year. The areas of both agricultural and forested lands associated with severe drought in the dry season were larger than those in the wet season. Generally, VIC-based soil moisture approach offered a feasible solution for improving soil moisture and agricultural drought monitoring capabilities at the regional scale.

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“…There are various possible variables to be incorporated, such as land surface temperature, near-surface soil moisture, vegetation cover, snow cover, snow-water equivalent, and water quality (Schmugge et al 2002). In addition, EO also can provide more general data such as land-use and soil erosion monitoring (Schultz and Engman 2000;Hiep et al 2018). Generally, EO information is used in semi-spatially distributed and fully spatially distributed models.…”

Section: Integration Of Sources Of Information In Hydrological Modelsmentioning

confidence: 99%

Integrating Multiple Sources of Information for Improving Hydrological Modelling: An Ensemble Approach

Hartanto¹

2019

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I would like to express my gratitude to those who helped me in finishing my PhD research, without them, this book would not be finished as it is now. These include those who were helping me directly on my research, and those who contributed indirectly through supporting my daily life and keep my moral up.First of all I like to thank God Almighty who gave me this beautiful experience in doing this research and finishing it.Great thanks to the MyWater FP-7 EU Project for providing financial support for this research, Rijnland Waterboard for providing data about the Rijnland water system, and SARA Foundation for giving me their permission in using High Performance Computing and Data Infrastructure via SURF-SARA, to run the highly demanding models that are used in this research.Next is my high gratitude for my promoter Dimitri Solomatine for his willingness to be my supervisor during the research, also my co-promoter Schalk Jan van Andel for his many supports and patiently guiding me throughout this research, also for the ideas, small talks, and many other constructive assists. I wish also to thank: all IHE Delft lecturers,

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Hydrological model using ground- and satellite-based data for river flow simulation towards supporting water resource management in the Red River Basin, Vietnam

Cited by 20 publications

References 40 publications

Evaluation and Hydrological Application of TRMM and GPM Precipitation Products in a Tropical Monsoon Basin of Thailand

Evaluation and Hydrological Application of TRMM and GPM Precipitation Products in a Tropical Monsoon Basin of Thailand

Investigating the Spatio-Temporal Variation of Soil Moisture and Agricultural Drought towards Supporting Water Resources Management in the Red River Basin of Vietnam

Integrating Multiple Sources of Information for Improving Hydrological Modelling: An Ensemble Approach

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