Analysis on the relationship between runoff erosion power and sediment transport in the Fujiang River basin and its response to land use change

Jiang, Kaixin; Mo, Shuhong; Yu, Kunxia; Li, Pingzhi; Li, Zhanbin

doi:10.1016/j.ecolind.2024.111690

Cited by 3 publications

(1 citation statement)

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“…Channel deposition, re-entrainment, and bed deterioration are processes involved in sediment transport that are all thought to be controlled by a stream's sediment capacity (Merritt et al 2003). The link between runoff and sediment transport, the basin's immediate response to anthropogenic activity and climate change, is reflected in the interaction between water and sediment in the river (Jiang et al 2024). In geomorphology, the sediment transport index (STI) is a statistic used to evaluate a river channel's capability for sediment movement.…”

Section: Introductionmentioning

confidence: 99%

Identification of soil erosion‑susceptible areas using fuzzy logic and sediment transport index aided by mineralogical-granulometric analysis in Subansiri basin, Assam, India

Dutta,

Srivast,

Boruah

2024

Preprint

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Erosion poses a significant challenge along the river Subansiri in Assam, India impacting river banks and sediment breakdown. This paper presents a comprehensive study on the identification of soil erosion-susceptible areas in the Subansiri Basin using fuzzy logic modeling and sediment transport index (STI) analysis with emphasis on X-Ray Diffraction (XRD) and grain size analysis. The soil erosion map's overall findings showed that the areas it covered were vulnerable to erosion in severe, very high, high, moderate, and low levels. Slope gradients and flow accumulation were used to calculate the STI on the Raster Calculator in ArcGIS. The Sediment Transport Index ranges from 0 to 2770. This study also aims to elucidate the mineral composition and grain size distributions of sediments sourced from the Subansiri river in Assam. Examination of 12 soil samples facilitated the assessment of their mineral composition and size distribution. Sieve analysis unveiled that a predominant 80% of the soil along the Subansiri river constitutes sand, with lesser percentages attributed to silt and clay, following USDA primary classification guidelines. Utilizing XRD methodology, the major crystalline minerals identified in these sands encompassed Quartz, Montmorillonite, Illite, Calcite, and Plagioclase Feldspar Albite. Skewness and kurtosis is also studied to determine the shape and distribution of the soil samples and the values range from 0.25 to 0.70 signifying a fine skewed to very fine skewed and from − 1.16 to -1.93 showing a very platykurtic distribution. Thus, for a thorough investigation of soil erosion, this research provides a novel hybrid methodology that integrates fuzzy logic, STI, XRD and grain size analysis.

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Section: Introductionmentioning

confidence: 99%

Identification of soil erosion‑susceptible areas using fuzzy logic and sediment transport index aided by mineralogical-granulometric analysis in Subansiri basin, Assam, India

Dutta,

Srivast,

Boruah

2024

Preprint

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Research on the relationships between river erosion and sedimentation and energy loss in the Yangtze River Basin of China

Wu,

Cheng,

Wang

et al. 2024

Heliyon

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Identification of the Runoff Evolutions and Driving Forces during the Dry Season in the Xijiang River Basin

Wang,

Men,

Yan

et al. 2024

Water

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During the dry season, river flow gradually diminishes, and surface water flow dries up. Therefore, the investigation of runoff during the dry season is of great practical significance for rational water allocation and water resource management. Based on hydrological station data from the Xijiang River Basin (XRB) from 1961 to 2020, this study examines the trend and periodic characteristics of dry-season runoff, identifies fluctuation and variability in dry-season runoff, and investigates the main circulation factor combinations influencing dynamic changes in dry-season runoff. The results indicate the following: (1) the characteristics of dry-season runoff variations are basically consistent across sub-basins in the XRB during the study period, with the minimum (21.96 × 108 m3) and maximum (54.67 × 108 m3) average monthly runoff occurring in February and October, respectively; (2) interannual-scale dry-season runoff exhibits periodicity of 3.53 years and 7.5 years; (3) using the Bayesian estimator of abrupt seasonal and trend change algorithm (BEAST), a seasonal abrupt point with a probability of 20.5% occurs in 1983, and the confidence interval for this abrupt point is from 1980 to 1986; (4) based on the cross wavelet approach, solar sunspots are identified as the primary circulation factor contributing to dry-season runoff in the XRB, exhibiting a significant 8–14 years resonance cycle of negative correlation with runoff during the high-energy phase from 1972 to 2006. These findings offer a new perspective on understanding the evolution of dry-season runoff and circulation factor variations, which are crucial for accurate prediction, early warning, and rational allocation of water resources during the dry season.

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Analysis on the relationship between runoff erosion power and sediment transport in the Fujiang River basin and its response to land use change

Cited by 3 publications

References 38 publications

Identification of soil erosion‑susceptible areas using fuzzy logic and sediment transport index aided by mineralogical-granulometric analysis in Subansiri basin, Assam, India

Identification of soil erosion‑susceptible areas using fuzzy logic and sediment transport index aided by mineralogical-granulometric analysis in Subansiri basin, Assam, India

Research on the relationships between river erosion and sedimentation and energy loss in the Yangtze River Basin of China

Identification of the Runoff Evolutions and Driving Forces during the Dry Season in the Xijiang River Basin

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