Influence of the Plateau Pika Mound Numbers on Soil Water Erosion Properties in Alpine Meadows of the Yellow River Source Zone, Western China DOI Open Access
Shengchun Tong,

Guorong Li,

Jinfang Li

et al.

Water, Journal Year: 2023, Volume and Issue: 15(17), P. 3111 - 3111

Published: Aug. 30, 2023

The plateau pika (Ochotona curzoniae) actively contributes to soil erosion and meadow degradation in western China’s Yellow River source zone. This study aimed elucidate the effects of mound numbers on hydrodynamic characteristics water through simulated rainfall experiments. inhibition restored vegetation growth were explored using a revegetated as control. results showed that at intensity 30 mm/h, loss per unit time increased then decreased with 15–20 min duration was sensitive period for different patch lands. meadows due activities is an essential factor influencing erosion, rate positively correlated both slope. mean flow velocity can better describe process its value number mounds Reynolds ranged from 57.85 153.63 (Re <500), it preliminarily determined all slope runoff laminar flow. Froude linear function (p < 0.01), significant factors affecting 0.05). Darcy–Weisbach resistance coefficient instead slope, inhibitory effect probably limited when reached certain level. According grey correlation Pearson analysis, changes led variability properties by altering landscape scale effect. patches (NP), edge length index (TE), area (AREA), volume (V) key parameters. We conclude intensify degradation, continuous increase decreases cover increases erodibility. Controlling will effectively prevent degraded areas.

Language: Английский

A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region of the Yellow River DOI Creative Commons

Hucheng Li,

Jianjun Chen, Ming Ling

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102928 - 102928

Published: Nov. 1, 2024

Language: Английский

Citations

9
Prediction of the Unconfined Compressive Strength of Salinized Frozen Soil Based on Machine Learning DOI Creative Commons
Huiwei Zhao, Bing Hui

Buildings, Journal Year: 2024, Volume and Issue: 14(3), P. 641 - 641

Published: Feb. 29, 2024

Unconfined compressive strength (UCS) is an important parameter of rock and soil mechanical behavior in foundation engineering design construction. In this study, salinized frozen selected as the research object, GDS tests, ultrasonic scanning electron microscopy (SEM) tests are conducted. Based on classification method model parameters, 2 macroscopic 38 mesoscopic 19 microscopic parameters selected. A machine learning used to predict considering three-level characteristic parameters. Four accuracy evaluation indicators evaluate six models. The results show that radial basis function (RBF) has best UCS predictive performance for both training testing stages. terms acceptable stability loss, through analysis gray correlation rough set total amount proportion optimized so there 2, 16, 16 macro, meso, micro a sequence, respectively. simulation aforementioned models with RBF still performs optimally. addition, after optimization, sensitivity third-level more reasonable. proved be effective predicting UCS. This study improves prediction ability by classifying optimizing provides useful reference future salty seasonally regions.

Language: Английский

Citations

5
Erosion on marginal slopes of unpaved roads in semi-arid Brazil, and the role of Caatinga vegetation in sediment retention and disconnectivity DOI
Teresa Raquel Lima Farias, Maria Thereza Rocha Chaves, Cícero Lima de Almeida

et al.

Journal of Arid Land, Journal Year: 2025, Volume and Issue: 17(4), P. 500 - 514

Published: April 1, 2025

Language: Английский

Citations

0
Influence of the Plateau Pika Mound Numbers on Soil Water Erosion Properties in Alpine Meadows of the Yellow River Source Zone, Western China DOI Open Access
Shengchun Tong,

Guorong Li,

Jinfang Li

et al.

Water, Journal Year: 2023, Volume and Issue: 15(17), P. 3111 - 3111

Published: Aug. 30, 2023

The plateau pika (Ochotona curzoniae) actively contributes to soil erosion and meadow degradation in western China’s Yellow River source zone. This study aimed elucidate the effects of mound numbers on hydrodynamic characteristics water through simulated rainfall experiments. inhibition restored vegetation growth were explored using a revegetated as control. results showed that at intensity 30 mm/h, loss per unit time increased then decreased with 15–20 min duration was sensitive period for different patch lands. meadows due activities is an essential factor influencing erosion, rate positively correlated both slope. mean flow velocity can better describe process its value number mounds Reynolds ranged from 57.85 153.63 (Re <500), it preliminarily determined all slope runoff laminar flow. Froude linear function (p < 0.01), significant factors affecting 0.05). Darcy–Weisbach resistance coefficient instead slope, inhibitory effect probably limited when reached certain level. According grey correlation Pearson analysis, changes led variability properties by altering landscape scale effect. patches (NP), edge length index (TE), area (AREA), volume (V) key parameters. We conclude intensify degradation, continuous increase decreases cover increases erodibility. Controlling will effectively prevent degraded areas.

Language: Английский

Citations

1