Distinguishing human and climate influences on streamflow changes in Luan River basin in China

Wang, Henian; Chen, Lihua; Xiao, Yu

doi:10.1016/j.catena.2015.02.013

Cited by 45 publications

(31 citation statements)

References 37 publications

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“…Based on the previous studies of the HRB, climate and LU have been identified as the primary factors responsible for the decrease in runoff [37,38,42,43]. Considering the in situ conditions of the mountainous region of the HRB, which is less disturbed by human activities than elsewhere in the basin, the following environmental factors were selected as the influencing factors: precipitation, air temperature, proportion of forest, farmland, and grass, and the leaf area index (LAI) ( Table 1).…”

Section: Environmental Factorsmentioning

confidence: 99%

“…A decrease in runoff from the headstream in mountainous areas has limited the downstream surface flow in the HRB [39][40][41]. Previous studies have focused mainly on the entire HRB and have identified the factors that influence runoff variation [38,[42][43][44], but they have paid less attention to the variational relative contributions of these factors which have influence on surface runoff over time. Such studies would improve our understanding of the dynamic relationships between surface runoff and environmental factors, as well as the management of complex water resource challenges.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Impacts of Climate and Land-Use Changes on Surface Runoff in the Mountainous Region of the Haihe River Basin, China

Zheng

Huang

et al. 2018

Advances in Meteorology

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The relative contributions of different factors to the variation in surface runoff have been broadly quantified. However, little attention has been paid to how these relative contributions have changed over time. We analyzed the changes in surface runoff during 1980-2010 in six subbasins in the mountainous region of the Haihe River Basin, one of the most serious water shortage regions in China, and identified the changes in the relative contributions of climate (precipitation and temperature) and land-use to surface runoff decrease. There was a decreasing tendency in surface runoff in all subbasins, four of which had an abrupt change point around 1998. Comparing the relative contributions before and after 1998 in the four subbasins, the average influence of climate was found to decline dramatically from 67.1% to 30.5%, while that of land-use increased from 23.9% to 69.5% mainly due to the increase of forest area. Our results revealed that the primary environmental factor responsible for runoff variations was not constant, and an alternation may accentuate the impact and stimulate an abrupt change of runoff in semiarid and semihumid mountainous regions. This will help in taking tracking measures to deal with the complex water resource challenges according to different driving factors.

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Section: Environmental Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Impacts of Climate and Land-Use Changes on Surface Runoff in the Mountainous Region of the Haihe River Basin, China

Zheng

Huang

et al. 2018

Advances in Meteorology

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“…The assumption of linearity represents a limitation of double‐mass analysis because when gradual disturbances overlap, it is difficult to identify the undisturbed state of a system (Glenn‐Lewin, Peet, & Veblen, ; Temperli, Bugmann, & Elkin, ). Time series analysis now features methods such as change point analysis (Hawkins, Qiu, & Kang, ; Hawkins & Zamba, ; Wang, Chen, & Yu, ) to identify the timing of significant change in the location and scale of a time series rather than relying on a second variable like the double‐mass analysis and has been applied in various climate and hydrological studies (Yang, Chen, Xu, & Zhang, ; Huang, Xia, Guo, & Yang, ; Matsuyama, Marengo, Obregon, & Nobre, ; Vivès & Jones, ; Caldwell et al, ). The simultaneous effect of climate variability on streamflow can be filtered with a climate elasticity model (CEM; Schaake, ; Sankarasubramanian, Vogel, & Limbrunner, ) that expresses the rate of streamflow change as the rate of change of a set of climate parameters, such as precipitation and temperature (Fu, Charles, & Chiew, ) or precipitation and potential evapotranspiration (PET) (Hao et al, ).…”

Section: Introductionmentioning

confidence: 99%

Assessment of wildland fire impacts on watershed annual water yield: Analytical framework and case studies in the United States

et al. 2016

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More than 50% of water supplies in the conterminous United States originate on forestland or rangeland and are potentially under increasing stress as a result of larger and more severe wildfires. Little is known, however, about the long-term impacts of fire on annual water yield and the role of climate variability within this context. We here propose a framework for evaluating wildland fire impacts on streamflow that combines double-mass analysis with new methods (change point analysis, climate elasticity modeling, and process-based modeling) to distinguish between multiyear fire and climate impacts. The framework captures a wide range of fire types, watersheds characteristics, and climate conditions using streamflow data, as opposed to other approaches requiring paired watersheds. The process is illustrated with three case studies. A watershed in Arizona experienced a +266% increase in annual water yield in the 5 years after a wildfire, where +219% was attributed to wildfire and +24% to precipitation trends. In contrast, a California watershed had a lower (−64%) post-fire net water yield, comprised of enhanced flow (+38%) attributed to wildfire offset (−102%) by lower precipitation in the post-fire period.Changes in streamflow within a watershed in South Carolina had no apparent link to periods of prescribed burning but matched a very wet winter and reports of storm damage. The presented framework is unique in its ability to detect and quantify fire or other disturbances, even if the date or nature of the disturbance event is uncertain, and regardless of precipitation trends.

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“…These change factors include the increasing global surface temperature and significant local impacts such as high-magnitude floods, prolonged droughts, flow variability, temperature rise, and decreased rainfall [12][13][14]. As such, there is a need to change the perception of climate change and its uncertainty and vulnerability since its weaknesses should be prioritized.…”

Section: Introductionmentioning

confidence: 99%

Assessment on Hydrologic Response by Climate Change in the Chao Phraya River Basin, Thailand

Ligaray

Kim²,

Sthiannopkao

et al. 2015

Water

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Abstract:The Chao Phraya River in Thailand has been greatly affected by climate change and the occurrence of extreme flood events, hindering its economic development. This study assessed the hydrological responses of the Chao Phraya River basin under several climate sensitivity and greenhouse gas emission scenarios. The Soil and Water Assessment Tool (SWAT) model was applied to simulate the streamflow using meteorological and observed data over a nine-year period from 2003 to 2011. The SWAT model produced an acceptable performance for calibration and validation, yielding Nash-Sutcliffe efficiency (NSE) values greater than 0.5. Precipitation scenarios yielded streamflow variations that corresponded to the change of rainfall intensity and amount of rainfall, while scenarios with increased air temperatures predicted future water shortages. High CO2 concentration scenarios incorporated plant responses that led to a dramatic increase in streamflow. The greenhouse gas emission scenarios increased the streamflow variations to 6.8%, 41.9%, and 38.4% from the reference period (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011). This study also provided a framework upon which the peak flow can be managed to control the nonpoint sources during wet season. We hope that the future climate scenarios presented in this study could provide predictive information for the river basin.

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Distinguishing human and climate influences on streamflow changes in Luan River basin in China

Cited by 45 publications

References 37 publications

Dynamic Impacts of Climate and Land-Use Changes on Surface Runoff in the Mountainous Region of the Haihe River Basin, China

Dynamic Impacts of Climate and Land-Use Changes on Surface Runoff in the Mountainous Region of the Haihe River Basin, China

Assessment of wildland fire impacts on watershed annual water yield: Analytical framework and case studies in the United States

Assessment on Hydrologic Response by Climate Change in the Chao Phraya River Basin, Thailand

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