Temporal variations of sediment source from a reservoir catchment in the black soil region, Northeast China

Fang, Haiyan

doi:10.1016/j.still.2015.04.009

Cited by 32 publications

(4 citation statements)

References 29 publications

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“…Linear gullies are a prominent feature of the study catchment, as demonstrated in Figures 1 and 8a. Several studies have reported that approximately 50% of the sediment originates from gullies, which is comparable with that from cultivated lands in the Mollisol region of northeastern China (Fang, 2015; Huang et al, 2020). This percentage increases to 90% during the rainy season (Chen et al, 2021), which is much greater than that reported in this study.…”

Section: Discussionmentioning

confidence: 88%

“…Recent studies on sediment provenance have also made important advancements in characterizing sediment transport in the Mollisol region of northeastern China. However, current research on sediment sources has focused almost exclusively on rainfall erosion or sediments collected from reservoirs (Fang, 2015; Huang et al, 2019; Huang et al, 2020), and research on the differences in sediment provenance between rainfall and snowmelt erosions is limited. In addition, the rapid development of intensive agricultural production systems has resulted in large inputs of synthetic fertilizers.…”

Section: Introductionmentioning

confidence: 99%

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Differences in sediment provenance from rainfall and snowmelt erosion in the Mollisol region of Northeast China

Su,

Huang,

Zhou

2024

Earth Surf Processes Landf

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Differences in erosion patterns inevitably lead to different soil loss processes. However, the differences in sediment sources between rainfall and snowmelt erosion are not well studied. To address this gap, a study was conducted in a small agricultural catchment (3.5 km2) using the fingerprinting technique to quantify the various sources contributing to sediment, as well as determine the magnitude of sediment total nitrogen (TN), total phosphorus (TP), total potassium (TK) and soil organic matter (SOM) loads from three sources (cultivated land, unpaved roads and gullies) during the rainy season and spring thawing period. Sediment sources from 17 rainfall erosion and seven snowmelt erosion events of varying magnitudes were compared. The Collins and Bayesian mixing models, coupled with geochemical tracers (Cs, V, Cd, Pb and Ag), were applied to assess the contribution proportion of individual sediment sources to suspended sediment. According to the results obtained from the Bayesian mixing model with higher accuracy, cultivated land, unpaved roads and gullies contributed 60.3% (load‐weighted mean contribution [LMC] = 82.8%), 11.0% (LMC = 6.5%) and 28.7% (LMC = 10.7%) of the sediment in the rainy season, respectively. Cultivated land was the dominant sediment source for rainfall erosion, with high rainfall erosivity and sediment concentration. However, for snowmelt erosion, gullies were the primary sediment source (LMC = 66.2%), followed by cultivated land (LMC = 19.8%) and unpaved roads (load‐weighted = 14.0%). Meanwhile, in the spring thawing period, the contributions of unpaved roads to sediment were higher than in the rainy season. During the rainy season, the greatest contributions of TN, TP, TK and SOM were observed from cultivated land, with respective LMC values of 94.2%, 89.4%, 81.1% and 94.8%. With the increase of sediment contribution from gullies in the spring thawing period, its LMC of TN, TP, TK and SOM increased to 42.6%, 58.3%, 65.0% and 38.0%, respectively. The results of the study could be useful for understanding the processes of soil erosion, clarifying the driving mechanism of compound erosion, developing the compound erosion prediction model and optimizing the spatial configuration of erosion control measures.

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Section: Discussionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Differences in sediment provenance from rainfall and snowmelt erosion in the Mollisol region of Northeast China

Su,

Huang,

Zhou

2024

Earth Surf Processes Landf

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“…Here, the combined use of 137 Cs and 210 Pb ex as fingerprints in a small watershed in the Sichuan Hilly basin suggested that farmland and bare land are the two principal sediment sources for sediment samples collected from a downstream reservoir (Zhang et al, 2004). A combination of 137 Cs and 210 Pb ex was also applied to quantify sediment source contributions for reservoir sediment cores in a study area in northeast China with a cold climate (Fang, 2015). Geochemical fingerprinting carried out in a small catchment in the Three Gorges Reservoir Area suggested that dry farmland was a principal sediment source (Guo et al, 2014).…”

Section: Progress Of Sediment Source Fingerprinting Studies In Chinamentioning

confidence: 99%

Fingerprinting the sources of water-mobilized sediment threatening agricultural and water resource sustainability: Progress, challenges and prospects in China

Tang

Wen

et al. 2019

Sci. China Earth Sci.

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Sediment source fingerprinting apportions the sources of sediment produced by water erosion by linking sampled sediment mixtures and landscape source materials using diagnostic and conservative fingerprints. Using this approach, the nature and location of active sediment sources across the catchment can be elucidated, generating information which is a key prerequisite for the design and implementation of catchment management strategies. The science of sediment source fingerprinting continues to attract much research globally, but to date, there have been relatively few fingerprinting studies in China. Here, there remain major challenges for the fingerprinting approach arising from the uniqueness of Chinese landscapes, including for instance, the complex land use configuration with highly fragmented or mosaic patches and the highly dynamic land use conversion rates, generating a need to test the physical basis for the discriminatory power and environmental behavior of both traditional and novel tracers. Future research is needed to investigate the applicability of tracer properties in different physiographic settings and to evaluate the potential strategic utility of the approach for supporting the improved management of soil and water sustainability. Here, the strategic availability of independent observation data for different components of catchment sediment budgets and well-maintained research infrastructure for plots, micro-catchments and drainage basins provides immediate opportunity for testing the approach and refining procedures. Such detailed testing across scales would be invaluable for promoting sediment source fingerprinting as both a scientific and management tool for informing soil and water conservation practices in China.

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“…Black soil has also been compared to "the giant panda of cultivated land". However, with the interaction of natural and human factors in the black soil area, soil erosion has become more and more serious, leading to the thinning of the black soil layer and the decrease of soil fertility [10]; coupled with a large amount of chemical fertilizer input and the scientific arable land management system is not perfect, leading to nutrient loss and water pollution [11][12][13]. At present, the surface soil of sloping arable land in black soil areas is lost at a rate of 2~3 mm�a -1 , and the organic matter content of the surface soil decreases at a rate of 5‰ per year.…”

Section: Introductionmentioning

confidence: 99%

Study on characteristics of soil and nutrient losses in Sunjiagou small watershed in cold black soil area

Dai

Wang

et al. 2023

PLoS ONE

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Investigating the impact of different factors on soil and nutrient loss and suggesting viable control measures is currently a significant concern. This study aims to examine the variations in soil erosion, as well as nitrogen and phosphorus loss, in the core area of the typical hilly diffuse Blackland erosion control. To achieve this, runoff plots with slopes of 3° and 5° were set up in the Sunjiagou sub-basin, located in the upper reaches of the Feiketu River. These plots were subjected to various soil and water conservation measures, along with different levels of vegetation cover. This study aims to analyze the soil and nutrient loss patterns and characteristics in each runoff plot during the natural rainfall events occurring between 2020 and 2022. The results show that soil and nutrient losses are highly significantly and positively correlated with rainfall intensity. The RUSLE model demonstrates a better fit for both cross ridge tillage and bare ground. The loss of nitrogen was much more significant than that of phosphorus, and nitrate nitrogen is the main form of nitrogen loss. Nitrogen loss is mainly dominated by nitrate nitrogen (NN), which is easily soluble in water and constantly migrates with runoff due to the negatively charged NN (NN accounted for 45.2% ~ 81.8% of total nitrogen (TN)). In contrast, the positively charged ammonia nitrogen (AN) is more stable in combination with the soil; large losses only occur under severe sediment erosion. Phosphorus is easily attached to sediment, and the high sediment production leads to a more serious loss of total phosphorus (PP) in the particulate state (PP accounts for 72.7% ~ 96.2% of total phosphorus (TP)). Changing longitudinal ridge tillage to cross ridge tillage and planting vegetation with better water retention and sediment fixation as plant hedges can effectively prevent the loss of soil, runoff, nitrogen, and phosphorus.

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Temporal variations of sediment source from a reservoir catchment in the black soil region, Northeast China

Cited by 32 publications

References 29 publications

Differences in sediment provenance from rainfall and snowmelt erosion in the Mollisol region of Northeast China

Differences in sediment provenance from rainfall and snowmelt erosion in the Mollisol region of Northeast China

Fingerprinting the sources of water-mobilized sediment threatening agricultural and water resource sustainability: Progress, challenges and prospects in China

Study on characteristics of soil and nutrient losses in Sunjiagou small watershed in cold black soil area

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