Historical and predicted variations of baseflow in <scp>China's Poyang Lake</scp> catchment

Li, Yunliang; Zhang, Qi

doi:10.1002/rra.3379

Cited by 12 publications

(7 citation statements)

References 53 publications

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“…Baseflow has been identified as the water that maintains streamflow during low-flow periods and also the components in high-flow periods, which consist mainly of groundwater or other sources [1][2][3] or the streamflow components that respond slowly to precipitation and are associated with groundwater discharge [4][5][6]. Many recent studies have identified baseflow as the flow resulting from groundwater discharge, which is mainly composed of shallow, lateral, and deep groundwater and other delayed sources, such as lakes, wetlands, and reservoir storage [7][8][9][10][11], and changes gradually in the short-and long-terms [12,13]. Baseflow is not only a key source of basic streamflow but also plays an important role in groundwater systems [6,7,14].…”

Section: Introductionmentioning

confidence: 99%

“…Many recent studies have identified baseflow as the flow resulting from groundwater discharge, which is mainly composed of shallow, lateral, and deep groundwater and other delayed sources, such as lakes, wetlands, and reservoir storage [7][8][9][10][11], and changes gradually in the short-and long-terms [12,13]. Baseflow is not only a key source of basic streamflow but also plays an important role in groundwater systems [6,7,14]. In the dry season, most streamflow consists of baseflow, whereas in the wet season, precipitation is the main source of streamflow, and the proportion of baseflow is low.…”

Section: Introductionmentioning

confidence: 99%

“…); thus, baseflow is clearly affected by basin characteristics, climate change, and human activities. Many studies have shown a strong correlation between these factors and baseflow [7,15]. The interaction between these factors and baseflow, in addition to the impacts of climate change and intensified anthropogenic activities, has attracted increasing attention.…”

Section: Introductionmentioning

confidence: 99%

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Baseflow Variation in Southern Taiwan Basin

et al. 2023

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Baseflow is among the most important components of streamflow. It is the main source of streamflow from groundwater systems in the dry season and also plays an important role as a water resource in the ecological environment and for human activities. In recent years, because of climate change, the number of dry season days in Taiwan has increased, and the wet season has been delayed, resulting in fewer rainy days and increased precipitation intensity. In addition, the spatial distribution of rainfall is uneven, and rivers are short and fast-flowing. Taiwan has become a country with abundant rainfall but insufficient water resources; therefore, the assessment of baseflow is important. This study selected eight basins with distinct wet and dry seasons in southern Taiwan as the study area. The baseflow characteristics and their relationships with climate features were assessed using time series analysis, baseflow attribution analysis, and wavelet analysis. The results showed that baseflow has an increasing trend; both precipitation and evapotranspiration have a significant positive correlation with baseflow, and the impact of precipitation is greater than that of evaporation. Sensitivity analysis showed that baseflow increases with increasing evaporation and precipitation; this behavior is related to the concentration of precipitation and evaporation in the wet season. Baseflow attribution analysis showed that the contribution of climate change to baseflow (75.0%) was larger than that of human activities (−2.9%), indicating that climate change was the main factor in the increase in baseflow. Wavelet analysis showed that both the El Niño–Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO) are correlated with baseflow, where the PDO is more strongly correlated than the ENSO. The main timescales of the ENSO and PDO are a 4–8-year band and an 8-year band, respectively. The ENSO may have a timescale above the 8-year band, and the PDO exhibits periodic correlation changes at a 1-year band.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Baseflow Variation in Southern Taiwan Basin

et al. 2023

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“…These previous studies adopted graphical, analytical, and digital filtering techniques to partition the baseflow from the total streamflow. In general, digital filtering methods can remove inconsistencies inherent in graphical methods and reduce the time required for hydrograph separation [ 16 ]. Additionally, filtering methods do not have a hydrological basis but aim to generate an objective, repeatable, and easily automated method to obtain baseflow dynamics of a catchment [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Investigating Historical Baseflow Characteristics and Variations in the Upper Yellow River Basin, China

Zhao

Kong

et al. 2022

IJERPH

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The baseflow of the Yellow River is vital and important for water resource management and for understanding the hydrological cycle and ecohydrology setting in this arid and semi-arid basin. This study uses a Lyne and Hollick digital filtering technique to investigate the behaviors of the baseflow and the baseflow index in the upper reaches of the Yellow River Basin (China). The observed streamflow discharges along the river were used to analyze the baseflow trend, persistence, and periodic characteristics during the period of 1950–2000. The results show that the average baseflow and BFI in the upper reaches of the Yellow River exhibit a decreasing trend and will continue to decline in the future. Generally, the annual average baseflow and BFI for the most upstream areas of the Yellow River show little difference, while the baseflow and BFI exhibit significant differences for the downstream areas. The filtered annual baseflow varied between 128 × 108 m3/year and 193 × 108 m3/year for the Yellow River. The BFI ranged from 0.54 to 0.65, with an average of 0.60. This indicates that on average, 60% of the long-term streamflow is likely controlled by groundwater discharge and shallow subsurface flow. Statistics show that two periodic variations were observed in the baseflow evolution process. The results indicate that on average, the first and second main cycles of baseflow behaviors occur at 28 years and 12–17 years, respectively. Correspondingly, the estimation indicates that the abrupt change points tend to appear in the 1960s, the 1980s, and the 1990s. An improved understanding of baseflow behaviors can help guide future strategies to manage the river regime, its water resources, and water quality.

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“…Baseflow in mountainous regions has been studied extensively because of shifts in snowmelt timing that may cause baseflow discharge earlier in the year (e.g., Barnett et al ., 2005; Stewart et al ., 2005; Huntington and Niswonger, 2012). Other studies have analysed the impact of projected climate change on baseflow, but in other parts of the world (e.g., Eckhardt and Ulbrich, 2003; Nyenje and Batelaan, 2009; Samuel et al ., 2012; Hellwig and Stahl, 2018; Kahsay et al ., 2018; Li and Zhang, 2018; Peterson et al ., 2020) or on a larger, global scale (e.g., Koirala et al ., 2014). Because statistical models are less computationally intensive and are easier to implement over large regions, they can help fill in the gap to project changes in baseflow.…”

Section: Introductionmentioning

confidence: 99%

Projected changes in monthly baseflow across the U.S. Midwest

Ayers

Villarini

Schilling

et al. 2021

Intl Journal of Climatology

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Baseflow is an essential water resource because it is the groundwater discharged to streams and represents long‐term storage. Understanding its future changes is a major concern for water supply and ecosystem health. This study examines the impacts of climate and agriculture on monthly baseflow in the U.S. Midwest through the end of the 21st century. We use a statistical approach to evaluate three scenarios. The first scenario is based on downscaled and bias corrected global climate model (GCM) outputs and the representative concentration pathway (RCP) 8.5, and agriculture is held constant (and equal to the mean from 2013 to 2019). In the next two scenarios, climate is held constant (2010–2019) to isolate the impact of agriculture on baseflow. In terms of agricultural changes, we consider scenarios representative of either increases or decreases with respect to the production of corn and soybeans. Changes in the climate system point to increases in baseflow that are likely a result of increased precipitation and antecedent wetness. Seasonally, warmer temperature in the winter and spring (i.e., February to July) is expected to cause increasing trends in baseflow. Changes in land use showed that agriculture would either mitigate the impact of climate change or possibly amplify it. Expanding corn and soybean areas would increase baseflow in the Corn Belt region. On the other hand, converting land back to perennial vegetation would decrease baseflow throughout the entire year. Despite its simplicity, this study can provide basic information to understand where to expect adverse effects on baseflow and thus improve land management practices in those areas.

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Historical and predicted variations of baseflow in China's Poyang Lake catchment

Cited by 12 publications

References 53 publications

Baseflow Variation in Southern Taiwan Basin

Baseflow Variation in Southern Taiwan Basin

Investigating Historical Baseflow Characteristics and Variations in the Upper Yellow River Basin, China

Projected changes in monthly baseflow across the U.S. Midwest

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