Impact of climate change and human activity on the runoff in the upper reaches of the Shiyang River, Northwest China

Li, Peng; Xu, Jiang; Chen, Zhongsheng; Zhao, Benfu

doi:10.7287/peerj.preprints.187v1

Cited by 4 publications

(5 citation statements)

References 1 publication

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“…The increased vegetation coverage effectively intercepted and retained runoff sediment, while the vegetation canopy reduced the volume and intensity of rainfall reaching the ground [43], thus mitigating the erosive impact of rainfall on the surface. Moreover, the increase in soil available nutrients significantly promoted the formation of soil aggregates [11], which contributed to water retention and benefitted ecological restoration and plant growth [44,45]. These changes clearly influenced the variations in runoff and sediment in the region.…”

Section: Discussionmentioning

confidence: 99%

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

Yao,

Li,

Yao

et al. 2023

Sustainability

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The Huangfuchuan basin is one of the major sources of coarse sediment in the Yellow River and has long been a focal point and challenge for the conservation of soil and water in the Yellow River Basin. In this study, we analyzed the phase differentiation characteristics of water–sediment variations during the flood season in the Huangfuchuan basin using a long-term dataset. We elucidated the complex response relationship between water–sediment variations and meteorological factors and human activities, which is of great significance for revealing the mechanisms of water–sediment variations in the region and establishing a scientific water–sediment regulation system in the basin. Statistical methods such as the Mann–Kendall trend test, Sen’s slope estimation, Pettitt nonparametric test, and principal component analysis were employed to identify and analyze the trends and dominant driving factors before and after the water–sediment variations and abrupt changes in parameters such as rainfall and temperature in the Huangfuchuan basin. Additionally, multiple regression analysis was used to determine the extent of the contribution of climate and human activities to water–sediment variations in the Huangfuchuan basin. The study revealed that the year 2000 was a turning point for water–sediment variations, with decreases of 11.3%, 76.7%, and 85.1% in flood season rainfall, flood season runoff, and flood season sediment transport, respectively. Despite significant changes in the underlying surface conditions of the Huangfuchuan basin, the relationship between flood season sediment transport and flood season runoff remained a power–law relationship. In the absence of obvious abrupt changes in temperature, rainfall, and other meteorological factors, the changes in the underlying surface caused by human activities are the main cause of the changes in runoff and sediment yield in the Huangfuchuan basin. The current level of vegetation restoration in the Huangfuchuan basin is still relatively low, making it difficult to exert stronger control on sediment yield during the flood season. Meanwhile, human activities, primarily based on engineering measures, play a more significant role in the control of soil and water loss in the basin.

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Section: Discussionmentioning

confidence: 99%

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

Yao,

Li,

Yao

et al. 2023

Sustainability

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“…unmanaged garigue-like ecosystem with mixed shrubs, grass and bare land, with some trees). The land-use/-cover data were validated by Li (2016) based on field survey data and the accuracy was found to be over 85%. LUCCs were then examined through an overlay analysis of the resulting land classification maps for 1990, 2000 and 2011 in ArcGIS 10.2.…”

Section: Materials and Methodologymentioning

confidence: 99%

“…(1.04 km 2 ) and Yangjiagou (0.69 km 2 ) (Figure 1), was available and determined by Li (2016) and Zhao et al (2017) based on the sedimentation behind the dams. The specific sediment yield for Huangjiagou was found to be 155.1 t ha -1 yr -1 during 2001-2012 while that for Yangjiagou was 106.1 t ha -1 yr -1 during 2007-2011.…”

Section: Model Validationmentioning

confidence: 99%

Soil erosion rates assessed by RUSLE and PESERA for a Chinese Loess Plateau catchment under land‐cover changes

Zang

et al. 2019

Earth Surf Processes Landf

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On the Chinese Loess Plateau, soil erosion models are often employed to predict erosion rates and responses to land‐use/‐cover changes (LUCCs). Previous Loess Plateau studies employed individual models with specific emphases but model comparisons have not been undertaken so the relative performance of different models is not known. In this study we employed two extensively applied models (RUSLE and PESERA) to investigate the impact of LUCCs during 1990–2000 and 2000–2011 on soil erosion rates for a typical Loess Plateau catchment (i.e. Huangfuchuan), and compared their modelling results. Land‐cover patterns for 1990, 2000 and 2011 were derived from Landsat images. The catchment was dominated by grassland (over 70%) and experienced considerable LUCCs: vegetation coverage increased from 38.3% in 1990 to 48.7% in 2011. Modelling results suggested that mean soil erosion rates of the catchment increased under the 1990–2000 LUCC and decreased under the 2000–2011 LUCC. Sandy land and scrubland were found to suffer from most severe soil erosion and thus should be the focus of future conservation work. Mean soil erosion rates on steep slopes (i.e. > 25°) were predicted to increase under the 2000–2011 LUCC, implying that further work is still needed to study soil erosion processes and their conservation on steep slopes. Model comparisons showed that RUSLE predictions were higher than PESERA predictions for most areas (particularly for steep slopes), and the former were generally closer than the latter to check‐dam sediment yield measurements. RUSLE and PESERA results were not linearly correlated, possibly due to differences in their underlying principles and their sensitivity to crucial parameters – RUSLE is more sensitive to slope gradients while PESERA is more sensitive to vegetation coverage. PESERA needs improvement to better account for steep slope erosion processes on the Loess Plateau, while RUSLE needs improvement in the description of vegetation effects. © 2019 John Wiley & Sons, Ltd.

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“…Grassland is the next most prominent land type, contributing 23% of the total area, and is mostly situated in the southern and western edges of the basin, with sporadic distribution in the northern and eastern regions. These areas are in proximity to the Qilian Mountains with abundant water resources, primarily characterized by extensive grasslands, and have exceptional ecological environments (Lei 2022). In contrast, the northern and eastern regions predominantly feature artificially cultivated grasslands as a result of various ecological restoration measures, including sand fixation afforestation, grass planting, regeneration of sandy vegetation, and the cultivation of shrub stubble.…”

Section: Land Use Changesmentioning

confidence: 99%

Assessing the value and sensitivity of ecosystem services based on land use in the middle and lower reaches of the Shiyang River

Tao,

Hu,

Fan

et al. 2024

Environ. Res. Commun.

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In response to increasing ecological and environmental challenges in arid areas, it is of great significance to investigate the ecosystem service value (ESV), accompanying the changes in ecological sensitivity for the protection of ecologically vulnerable areas. Our analysis seeks to elucidate the ESV and ecological sensitivity changes in the middle and lower reaches of the Shiyang River to determine the trends and influencing factors of ESV under changing land use patterns.The key findings include: 1) From 1995 to 2020, the ESV in the study area witnessed fluctuations, culminating in an overall decline of 1.249×108 yuan. 2) In 2020, sensitivity coefficients (CSs) for ESV were as follows: 0.4335 for grassland, 0.2586 for farmland, and 0.1170 for unused land within the study area. Furthermore, coefficients of improved cross-sensitivity (CICSs) for the reciprocal transformation of farmland, grassland, and unused land were 1.10, 1.18, and 1.54, respectively, indicating the pivotal role of the three land types in driving ESV fluctuations.

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Impact of climate change and human activity on the runoff in the upper reaches of the Shiyang River, Northwest China

Cited by 4 publications

References 1 publication

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

Soil erosion rates assessed by RUSLE and PESERA for a Chinese Loess Plateau catchment under land‐cover changes

Assessing the value and sensitivity of ecosystem services based on land use in the middle and lower reaches of the Shiyang River

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