Spatiotemporal variation in the attribution of streamflow changes in a catchment on China's Loess Plateau

Li, Bingbing; Ning, Tingting; Li, Jingjing; Yang, Daqing

doi:10.1016/j.catena.2017.06.008

Cited by 28 publications

(13 citation statements)

References 47 publications

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“…In general, meteorological data sites are relatively few, and the difference in interpolation methods leads to errors with actual climate. Budyko‐based methods ignore changes in subsurface water storage and the residual between the observed and estimated changes due to first‐order Taylor expansion (Li, Ning, Li, & Yang, ). Obtaining observed run‐off data in the absence of human activities except vegetation restoration in the basins is difficult, thus hindering the construction of a more accurate regression model between vegetation restoration and run‐off.…”

Section: Discussionmentioning

confidence: 99%

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Yang

Sun

et al. 2020

Hydrological Processes

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A rapid reduction in run-off has been observed in the middle reaches of the Yellow River basin in recent decades. Understanding the contributions of climate change and human activities, such as vegetation restoration and water consumption, to surface water resource reduction has become urgent and very important for future regional planning. Here, we use attribution approaches to explore the effects of climate change and human activities on run-off over the past six decades. The results showed that the observed annual run-off at Tongguan station, which is located within the mainstream of the Yellow River, exhibited a significant decreasing trend of −0.69 mm year −1 (p < .01) and varied from −0.28 to −1.46 mm year −1 (p < .01) in the eight selected tributaries from 1960 to 2015. Two relatively abrupt changes in the double mass curves occurred around 1979 and 1999; compared with Period 1 (P1; 1960-1979), the average catchment run-off decreased 32% during Period 2 (P2 ; 1980-1999) and up to 49% during Period 3 (P3;. We calculated that approximately 29% of the reduction in the run-off during P2 and 18% during P3 were attributed to climate change. Increased surface water consumption resulted in effective run-off reduction, with relative contributions of approximately 27% and 28% during P2 and P3, respectively. With the implementation of the "Grain-for-Green" project, the vegetation coverage rapidly increased from 36% in P1 to 52% in P3 and reduced run-off by 35% during P3. These findings explain the run-off reduction and benefit water resource management in the middle reaches of the Yellow River basin.

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Section: Discussionmentioning

confidence: 99%

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Yang

Sun

et al. 2020

Hydrological Processes

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“…Under the combined effects of land‐use changes and climate variability, the hydrological conditions in the Woken River basin have undergone major changes, and different factors have different effects on hydrological conditions (Li, Ning, Li, & Yang, ). Adnan and Atkinson () presented the views in their study that climate variability has played a more pronounced role than land‐use changes in influencing streamflow in the basin.…”

Section: Discussionmentioning

confidence: 99%

Effects of land‐use change and climate variability on streamflow in the Woken River basin in Northeast China

Shi

et al. 2019

River Research & Apps

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In this study, the soil and water assessment tool, which is a widely used hydrological model, is applied to study the response of streamflow to land‐use changes and climate variability in the Woken River basin in northeastern China. This model is calibrated and verified based on sensitivity analysis to simulate the effects of land‐use change, climate variability, and extreme land‐use scenarios on streamflow. Simulations are performed to construct different scenarios for quantitative analysis. Compared with the base period, the land‐use change reduced the annual average streamflow and had little effect on the monthly streamflow. Climate variability increased the average annual streamflow and had a substantial effect on monthly streamflow. The effect of climate variability on streamflow was much greater than that of land‐use changes. Under the extreme land‐use scenarios, the annual average streamflow under the forestland scenario decreased, and the average annual streamflow under the grassland and agricultural land scenarios increased. Both the forestland and grassland scenarios exhibited lower monthly streamflow from March to August with especially large influences in June–August, which was when floods were more likely to occur. The agricultural land scenario exhibited the opposite trend. These results indicate that climate variability will obviously change streamflow and that natural disasters related to both high and heavy precipitation must be emphasised. Relevant departments can optimize the land‐use structure and spatial layout to mitigate the negative effects of climate variability.

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“…Based on the functional form of Equation (19), the change in streamflow caused by climate change and watershed characteristics can be expressed as…”

Section: Elasticity Methodsmentioning

confidence: 99%

“…The paired catchment method is an approach which is commonly used in forestry and hydrology to assess the impact of land change on streamflow. However, the paired catchments method is more suitable for small areas, as it is difficult to find practical catchments in medium and large-scale areas [11,19]. The ecohydrology method proposed by Tomer and Schilling [17] is a model which is used to consider the long-term water energy consumption in a basin.…”

Section: Introductionmentioning

confidence: 99%

Impact of Climate Change and Human Activities on Streamflow Variations Based on the Budyko Framework

Lee

Yeh

2019

Water

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In recent years, the influence of climate change and human activity on the global environment have become a concern. It is essential to better understand the hydrologic environment to evaluate water availability and related issues. In this study, we perform a trend and breakpoint analysis on streamflow time series in the Lanyang, Keelung, Dahan, Fengshan, Youluo and Shangping River Basins in northern Taiwan. Furthermore, we apply the Budyko–Fu equation and the Budyko–Mezentsev–Choudhury–Yang equation to evaluate the elasticity of streamflow with respect to climate factors and the catchment characteristics parameter. We discuss the sensitivity of streamflow to climate factors (precipitation and potential evapotranspiration), as well as sensitivity to human activities such as land use changes. We detected breakpoints in the streamflow time series for the Lanyang and Keelung rivers in in 1993 and 1990, respectively. The streamflow of Lanyang River increased by 32.50% during the variation period (1993–2017), with 109.00% of the variation caused by non-climate factors. The Keelung River’s streamflow was reduced by 18.11% during the variation period (1990–2017), and the dominant factor was climate change, accounting for 71.53% of the reduction. Sensitivity analysis showed that precipitation changes were the most sensitive factor of streamflow variation. For every 1% increase in precipitation, the streamflow would increase by 1.05% to 1.37%. These results could serve as a reference for the sustainable development of water resources and territorial policies in northern Taiwan.

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Spatiotemporal variation in the attribution of streamflow changes in a catchment on China's Loess Plateau

Cited by 28 publications

References 47 publications

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

Effects of land‐use change and climate variability on streamflow in the Woken River basin in Northeast China

Impact of Climate Change and Human Activities on Streamflow Variations Based on the Budyko Framework

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