Attribution Analyses of Impacts of Environmental Changes on Streamflow and Sediment Load in a Mountainous Basin, Vietnam

Wang, Jie; Ishidaira, Hiroshi; Ning, Shaowei; Khujanazarov, Temur; Yin, Guiping; Guo, Lijuan

doi:10.3390/f7020030

Cited by 10 publications

(16 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To achieve equilibrium conditions when the initial soil and plant compartment pools actually match the mass balance equations, Biome-BGC needs "spin-up" simulations. Among the numerous flux and state variables calculated by this model, the LAI was used in this study [5,21]. Ichii et al [50] applied this model to simulate the carbon fluxes and gross primary productivity in Amazonian, African, and Asian terrestrial ecosystems.…”

Section: Ecological Model (Biome-bgc)mentioning

confidence: 99%

“…Ichii et al [50] applied this model to simulate the carbon fluxes and gross primary productivity in Amazonian, African, and Asian terrestrial ecosystems. In order to obtain LAI values for all grids, we applied the point-based Biome-BGC model to each grid cell, with a spatial resolution of 0.25 degrees [21]. The model has been well validated in simulating potential LAI in the DRB [21].…”

Section: Ecological Model (Biome-bgc)mentioning

confidence: 99%

“…Moreover, the response of sediment load to land cover change appears to be more complex than that of streamflow response [17][18][19]. Although streamflow and sediment load are strongly correlated in response to land cover change [20,21], the level or severity of the land cover change impacts on both of these parameters are still arguable [2,5,15,16,22]. Land cover change has a big impact on the river basin's hydrological cycle, including many environmental issues, and thus it should be assessed as one unit for a better understanding of the overall impact to the catchment.…”

Section: Introductionmentioning

confidence: 99%

“…Rapid land development in the upstream area and dam constrictions have changed the hydrological cycle, sediment load, and biodiversity in the area [23]. Land cover change was recognized as the major factor to alter streamflow and sediment flow in the upstream area of the Red River compared to climate change [21]. Satellite observation and model simulations suggested that the decrease in historical vegetation cover raised sediment load by 13.7% in the Red River Basin [24].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling Hydrological Appraisal of Potential Land Cover Change and Vegetation Dynamics under Environmental Changes in a Forest Basin

Wang

Ning

Khujanazarov

2018

Forests

Self Cite

View full text Add to dashboard Cite

An integrated multi-model approach to predict future land cover in the Da River Basin in Vietnam was developed to analyze future impacts of land cover change on streamflow and sediment load. The framework applied a land cover change model and an ecological model to forecast future land cover and leaf area index (LAI) based on the historical land cover change, and these data were then used in a calibrated distributed hydrological model and a new sediment rating curve model to assess hydrological changes and sediment load in the river basin. Results showed that deforestation would likely continue, and that forest area would decrease by up to 21.3% by 2050, while croplands and shrublands would replace forests and increase by over 11.7% and 10%, respectively. Streamflow and sediment load would generally increase due to deforestation in the Da River Basin in the 2050s, in both the wet and dry seasons, but especially in the wet season. In this case, the predicted annual sediment load was expected to increase by about 9.7% at the Lai Chau station. As deforestation increased, sediment load and reservoir siltation could likely shorten the lifespan of the recently constructed Son La Reservoir. The applied integrated modeling approach provides a comprehensive evaluation of land/forest cover change effects on the river discharge and sediment load, which is essential in understanding human impacts on the river environment and in designing watershed management policies.

show abstract

Section: Ecological Model (Biome-bgc)mentioning

confidence: 99%

Section: Ecological Model (Biome-bgc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Hydrological Appraisal of Potential Land Cover Change and Vegetation Dynamics under Environmental Changes in a Forest Basin

Wang

Ning

Khujanazarov

2018

Forests

Self Cite

View full text Add to dashboard Cite

show abstract

“…LAI is dependent on water, carbon, and energy fluxes in terrestrial ecosystems (White, Thornton, Running, & Nemani, 2000). In order to simulate LAI, an ecosystem model simulator like BIOME-BGC has been used in many studies (Wang et al, 2016;Zhang, Huang, & Lian, 2015). For example, Biome-BGC was used to simulate carbon fluxes in crop farms in china (Wang, Watanabe, & Ouyang, 2005).…”

Section: Introductionmentioning

confidence: 99%

Evaluating gridded BIOME-BGC for simulating LAI at Kasilian watershed-Iran

Ramezani

Bavani

Jafari

et al. 2017

Geology, Ecology, and Landscapes

View full text Add to dashboard Cite

Leaf Area Index is a vegetation characteristic which affects water cycle in watersheds by intercepting water. Hence, we decided to simulate LAI with high spatial resolution for different land covers in Kasilian watershed located in Iran from 2004 to 2013. For this purpose, the gridded BIOME-BGC was developed with 500 m spatial resolution which includes 319 grids within Kasilian watershed domain. In this study, The particle swarm optimization (PSO) algorithm was applied to find a combination of 3 parameters including maximum stomatal conductance (Gs_max), new fine root C: new leaf C (FRC: LC), and canopy average specific leaf area which contribute to the best fit between BIOME-BGC LAI and MODIS LAI in each pixels. According to the PSO results, this algorithm indicated an appropriate performance during the calibration and the root mean square error (RMSE) between BIOME-BGC LAI and MODIS LAI converged to an optimum point during the primary iterations in all pixels. Moreover, the computed per cent error (PE) values in all pixels were less than approximately 30% demonstrating that LAI was simulated by BIOME-BGC with a reasonable accuracy for three-dominant land covers Deciduous Broadleaf Forest, Shrub, and C3 grasses in the case study.

show abstract

Total sediment transport from an urbanizing watershed in the upper Yellow River, China

Wang

Zheng

et al. 2018

Environ Sci Pollut Res

View full text Add to dashboard Cite

For many event-based, high-sediment yield rivers draining arid zones, where erosion activities in the watershed and fluvial erosion in the stream channel are nearly equally important in sediment transport, determination of fluvial sediment dynamics are of great importance in establishing reliable strategies to manage environmental changes in watershed scale. Wash load rating curve indicating watershed characteristic changes and Ackers and White's bed load function (wash load excluded) used for determining bed load transport dynamics are distinguished for the first time to recognize the true sediment transport mode in the lower Huangshui River, which is the largest tributary of the upper Yellow River, contributing a lot to the wash load of the Inner Mongolia desert reach of the Yellow River and causing complicated water-sediment response. Based on the continuous and detailed hydrological data monitored at the Minhe gauge station, our results indicated that the sediment transport regime has altered since the 1980s in response to the eco-environmental changes mainly due to urbanization, with suspended sediment concentration (SSC) decreased by 50% on average compared with the natural state (1950-1980). The combined use of wash load rating curve and theoretical bed load function derived an estimate of total sediment transport due to comprehensive ecological management since the 2000s to be 3.43 × 107 t for the lower Huangshui River, among which the total bed load is 1.40 × 107 t, and the wash load is 2.03 × 107 t. The transport ratio of wash load to total bed load is 1.45:1.

show abstract

Attribution Analyses of Impacts of Environmental Changes on Streamflow and Sediment Load in a Mountainous Basin, Vietnam

Cited by 10 publications

References 37 publications

Modeling Hydrological Appraisal of Potential Land Cover Change and Vegetation Dynamics under Environmental Changes in a Forest Basin

Modeling Hydrological Appraisal of Potential Land Cover Change and Vegetation Dynamics under Environmental Changes in a Forest Basin

Evaluating gridded BIOME-BGC for simulating LAI at Kasilian watershed-Iran

Total sediment transport from an urbanizing watershed in the upper Yellow River, China

Contact Info

Product

Resources

About