Javascript must be enabled to continue!
Quantifying sediment complexity and its implications in the Yanhe watershed using refined composite multiscale fuzzy entropy
View through CrossRef
Abstract
The Yanhe watershed, located in the Loess Plateau of China, is a representative loess hilly-gully and ecologically fragile region, posing a critical challenge for sustainable sediment management. Regarding the watershed as a vibrant complex system, this study investigated sediment concentration dynamics in the Yanhe watershed from the perspectives of multiscale entropy and complexity. The refined composite multiscale fuzzy entropy (RCMFE) method was employed to quantify the sediment complexity and explore its variations and driving mechanisms. Three characteristics of the RCMFE curve were evaluated: local maxima, local minima, and volatility. The results revealed significant increases in sediment instability during 2000–2004 and after 2008, and the richness of variation information and complexity of sediment in the past two decades have notably decreased compared to the baseline period before 1970. Although complexity decline has been controlled since 2005, it remained at a low level. The notable decrease in the multi-scale structure and function will weaken the watershed's resistance to external interference and environmental changes, highlighting the need for widespread attention. Major factors contributing to complexity changes are China's Grain for Green Program (GFGP) and vegetation restoration, alongside the growing impact of erratic precipitation in the past decade. This research contributes to a multiscale understanding of sediment concentration dynamics, and provides new insights into sediment processes and sustainable strategies on the Loess Plateau under the GFGP and climate change.
Title: Quantifying sediment complexity and its implications in the Yanhe watershed using refined composite multiscale fuzzy entropy
Description:
Abstract
The Yanhe watershed, located in the Loess Plateau of China, is a representative loess hilly-gully and ecologically fragile region, posing a critical challenge for sustainable sediment management.
Regarding the watershed as a vibrant complex system, this study investigated sediment concentration dynamics in the Yanhe watershed from the perspectives of multiscale entropy and complexity.
The refined composite multiscale fuzzy entropy (RCMFE) method was employed to quantify the sediment complexity and explore its variations and driving mechanisms.
Three characteristics of the RCMFE curve were evaluated: local maxima, local minima, and volatility.
The results revealed significant increases in sediment instability during 2000–2004 and after 2008, and the richness of variation information and complexity of sediment in the past two decades have notably decreased compared to the baseline period before 1970.
Although complexity decline has been controlled since 2005, it remained at a low level.
The notable decrease in the multi-scale structure and function will weaken the watershed's resistance to external interference and environmental changes, highlighting the need for widespread attention.
Major factors contributing to complexity changes are China's Grain for Green Program (GFGP) and vegetation restoration, alongside the growing impact of erratic precipitation in the past decade.
This research contributes to a multiscale understanding of sediment concentration dynamics, and provides new insights into sediment processes and sustainable strategies on the Loess Plateau under the GFGP and climate change.
Related Results
Multiscale Analysis of Runoff Complexity in the Yanhe Watershed
Multiscale Analysis of Runoff Complexity in the Yanhe Watershed
Runoff complexity is an important indicator reflecting the sustainability of a watershed ecosystem. In order to explore the multiscale characteristics of runoff complexity and anal...
Environmental Implications of Soil Erosion and Sediment Yield in Lake Hawassa Watershed, South-central Ethiopia
Environmental Implications of Soil Erosion and Sediment Yield in Lake Hawassa Watershed, South-central Ethiopia
Abstract
Background: Assessing soil erosion, sediment yield and sediment retention capacity of watersheds is one of the under researched areas in watersheds of developing c...
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Abstract. Fuzzy Inference System requires several stages to get the output, 1) formation of fuzzy sets, 2) formation of rules, 3) application of implication functions, 4) compositi...
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Here in this paper, we provide characterizations of fuzzy quasi-ideal in terms of level and strong level subsets. Along with it, we provide expression for the generated fuzzy quasi...
Diffused and localized sediment production processes in a distributed transport model
Diffused and localized sediment production processes in a distributed transport model
<p>The identification of preferential sediment production areas within a river basin is essential to improve predictions of sediment load and its sources, and to iden...
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
Background Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalis...
Application of Hydrological and Sediment Modeling with Limited Data in the Abbay (Upper Blue Nile) Basin, Ethiopia
Application of Hydrological and Sediment Modeling with Limited Data in the Abbay (Upper Blue Nile) Basin, Ethiopia
In most developing countries, biophysical data are scarce, which hinders evidence-based watershed planning and management. To use the scarce data for resource development applicati...
Fuzzy Chaotic Neural Networks
Fuzzy Chaotic Neural Networks
An understanding of the human brain’s local function has improved in recent years. But the cognition of human brain’s working process as a whole is still obscure. Both fuzzy logic ...

