Separating runoff change by the improved Budyko complementary relationship considering effects of both climate change and human activities on basin characteristics

Yang, Hanmin; Xiong, Lihua; Xiong, Bin; Xu, Chong‐Yu

doi:10.1016/j.jhydrol.2020.125330

Cited by 26 publications

(8 citation statements)

References 36 publications

(51 reference statements)

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“…Considering the catastrophic flooding in 1998 and its subsequent effects, 1998 and 1999 were not included in the altered period. It is generally assumed that when the time series is greater than 10 years, changes in water storage at the basin scale can be ignored (Yang and Xiong et al, 2020;Li and Shi et al, 2021). As precipitation during AP1 and AP2 did not fluctuate considerably, the change in water storage during these two periods can be ignored.…”

Section: Fig 5 Double Mass Curve Of Annual Precipitation and Streamflowmentioning

confidence: 99%

“…Owing to their simple calculation process, easy-to-obtain parameters, and certain physical meanings, methods based on the Budyko hypothesis have recently become popular (Greve and Burek et al, 2020;Luo and Yang et al, 2020). At different spatiotemporal scales, a variety of methods based on the Budyko hypothesis have been developed (Zhao and Tian et al, 2014;Yang and Xiong et al, 2020;Yu and Zhang et al, 2021). There are also statistical methods that determine the linear regression relationship between climatic factors and streamflow discharge, which are convenient to use but fail to capture the nonlinear nature of the hydrological cycle (Dey and Mishra, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Separating the impacts of climate variability and human activities on the discharge and component of streamflow in Taoer River Basin, China

Wang

et al. 2022

Preprint

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Climate variability and human activity are the two driving forces that alter the hydrological cycle and spatiotemporal distribution of water resources. Quantitative separation of the two drivers is crucial for regional water resource management. Relevant studies focus mainly on the quantitative attribution of streamflow changes but overlook the impact of changing environments on hydrological processes and the hydrological regime (or streamflow component). Using the Taoer River Basin (TRB) as an example, this study analyzed the impacts of climate variability and human activities on streamflow discharge in various periods and the resulting hydrological alterations. First, through the Mann–Kendall test and cumulative anomaly method, combined with the construction of the reservoir, historical streamflow data were divided into four periods (baseline period and altered periods 1, 2, and 3). Based on the proposed basic identification framework, four assessment methods (the hydrological sensitivity method, distributed hydrological model, linear regression model, and runoff restoring computation) were used, and relatively consistent estimates of streamflow attribution were obtained. Climate variability was the driving factor for streamflow changes, and the relative contributions in altered periods 1, 2, and 3 were 81% (50.34 mm), 68% (13.37 mm), and 53% (-19.23 mm), respectively, and always accompanied by changes in hydrological regimes. Climate variability and reservoir construction have different impacts on the hydrological regime at different periods, and reservoir regulation’s effect on the hydrological regime depends on climatic conditions. We further discuss the necessity of breakpoint selection and period division in the attribution of streamflow changes, and analyze the applicability of different methods with current ideas for improvement. This study not only has practical significance for water resource planning and adaptive policy formulation in the TRB but also provides a reference for similar studies.

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Section: Fig 5 Double Mass Curve Of Annual Precipitation and Streamflowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Separating the impacts of climate variability and human activities on the discharge and component of streamflow in Taoer River Basin, China

Wang

et al. 2022

Preprint

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“…In other words, the local extreme precipitation events could increase or decrease due to increased aridity. To cope with this challenge, the nonstationary (NS) assumption has been proposed in hydrology and climate‐related literature (Hu et al, 2018; Kuang et al, 2018; Lu et al, 2019; Villarini, Serinaldi, Smith, & Krajewski, 2009; Vogel, Yaindl, & Walter, 2011; Xiong et al, 2019; Xiong et al, 2020; Xu, Jiang, Yan, Li, & Liu, 2018; Yan et al, 2019; Yan et al, 2020; Yan, Xiong, Liu, Hu, & Xu, 2017; Yang, Xiong, Xiong, Zhang, & Xu, 2020).…”

Section: Introductionmentioning

confidence: 99%

Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment

et al. 2021

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The intensity and frequency of extreme precipitation have increased in many regions in the past century due to climate change. Many studies have revealed that short‐duration extreme precipitations are likely to become more and more severe in many areas, thus raising a question on whether our urban infrastructures have been designed adequately to cope with these changes. Currently, Intensity–duration–frequency (IDF) curves, which summarize the relationships between the intensity and frequency of extreme precipitation for different durations, are recommended as a criterion for urban infrastructure design and stormwater management. However, climate change is thought to have invalidated the stationary assumption in deriving IDF curves, that is, current IDF curves could misevaluate future extreme precipitation in many cases. Therefore, it is necessary to update the current IDF curves by considering possible changes of extreme precipitation. In this review, we first summarize observed changes in urban short‐duration extreme precipitation and explore the physical mechanisms associated with changes. Then, we introduce two major approaches for updating IDF curves, namely the covariate‐based nonstationary IDF curves and climate‐model‐based IDF curves. Advances in these two updating approaches for IDF curves are the focus of this review. These include the investigation of physically‐based covariates with nonstationary modeling of extreme precipitation; nonstationary precipitation design strategies; and the statistical downscaling and dynamic downscaling methods for projecting future short‐duration precipitation. Finally, we summarize some future research challenges and opportunities on providing reliable projections of future short‐duration extreme precipitation and better characterize the probabilistic behavior of short‐duration extreme precipitation for IDF design. This article is categorized under: Engineering Water > Engineering Water

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“…Runoff is an important indicator to measure whether available water can be supplied continuously. Evaluating the changes in runoff over time is an important challenge in water resources management [1,2]. Since the hydrological process is affected by climatological and human factors, the changes in runoff are due to climate factors and human activities.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Relative Contribution of the Climate Change and Human Activity on Runoff in the Choshui River Alluvial Fan, Taiwan

Chen

Huang

Yeh

2021

Land

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Climate factors and human activities are the leading causes of changes in the hydrological cycle. In addition to being an important part of the hydrological cycle, runoff is also an important indicator for assessing the amount of available water. Therefore, it is necessary to explore the reasons that have caused changes in runoff. In this study, the causes of runoff changes in the alluvial fan of the Choshui River from 1980–2018 are explored. Two simple methods, including a decomposition method based on the Budyko structure and a method based on climate elasticity, for which the necessary data are easy to obtain, are used to quantify the impact of climate factors and human activities on runoff changes. The results show that the runoff in the long term shows a significant transition point in 2003, where climate factors have contributed more than 90% of the change, while the influence of human activities on the changes in runoff appears to be relatively small. Moreover, the Budyko method and the Normalized Difference Vegetation Index (NDVI) show that the vegetation cover has decreased. In addition to providing a simple method to assess the causes of changes in runoff, this study also analyzes the causes of changes in the runoff of the alluvial fan of the Choshui River to provide a reference for water resource policy and land use management.

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Separating runoff change by the improved Budyko complementary relationship considering effects of both climate change and human activities on basin characteristics

Cited by 26 publications

References 36 publications

Separating the impacts of climate variability and human activities on the discharge and component of streamflow in Taoer River Basin, China

Separating the impacts of climate variability and human activities on the discharge and component of streamflow in Taoer River Basin, China

Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment

Quantifying the Relative Contribution of the Climate Change and Human Activity on Runoff in the Choshui River Alluvial Fan, Taiwan

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