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The bearing capacity and settlements of surface foundations located on a soil slope are the important issues that have to be considered by geotechnical engineers for the design. The presence of an underground void beneath the footing can affect the foundation stability and can lead to serious structure damages. In this study, the results of two-dimensional (2D) discrete element (DE) and finite element (FE) analyses of a surface footing on a soil slope above a void are presented. To validate the numerical model results, the DE results obtained have been compared with experimental test presented in the previous study. After validation of the DE numerical model, parametric studies were carried out to evaluate the effect of important factors on the surface footing performance. The studied parameters include the horizontal spacing of the void axis relative to the slope edge (SH), the vertical spacing of the void crown relative to the footing base (SV), the horizontal spacing of the footing edge relative to the slope edge (D) and the void diameter (D). The effects of these parameters on the pressure-settlement curves and the contact force distributions in the soil slope are presented and discussed. The results showed that the footing bearing pressure increases with an increase of SH, SV and D but decreases when D increases. The behavior of a surface footing on a soil slope above a void significantly depends on the SV value.
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http://dx.doi.org/10.1038/s41598-024-72220-6 | DOI Listing |
J Environ Manage
September 2025
School of Marine Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu, 210023, China; Coastal Zone Resources and Environment Engineering Research Center of Jiangsu Province, Nanjing, Jiangsu, 210023, China. Electronic address:
As climate change, urbanization, and marine exploitation intensify, understanding nearshore island ecosystem services (IESs) is essential for ensuring ecological protection and sustainable development. This study maps the spatiotemporal dynamics of six key ecosystem services (ESs) across 295 nearshore Chinese islands, including food production (FP), water yield (WY), soil conservation (SC), carbon storage (CS), and habitat quality (HQ) (2000-2022), and tourism and recreation (TR) (2012-2022). Using spatial autocorrelation, Slope trend analysis, per-pixel Pearson correlation, and K-means clustering, the study quantifies the trade-offs and synergies, identifies constraint characteristics, and delineates ecological functional zones for island classification.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Country College of Soil and Water Conservation Science and Engineering, Northwest A&F University, Xianyang, Shaanxi, China.
Introduction: The discrepancies in near-soil-surface hydrologic processes triggered by herbage spatial distribution pattern greatly influence the variation in hillslope erosion process. However, knowledge about the influence of herbage spatial distribution pattern on hillslope erosion is still limited.
Methods: In the current study, runoff plots (length × width × depth, 2 × 1 × 0.
Environ Monit Assess
September 2025
Department of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, 713104, India.
To a large extent, the food security and ecological balance of a region, particularly in agriculturally dominated areas, largely depend on the sustainable use and management of groundwater resources. However, in recent times, both natural and human-driven factors have heavily impacted the lowering of groundwater resources. Therefore, the present study has been carried out in a drought-prone region of Birbhum district, part of the red-lateritic agro-climatic zone of West Bengal, Eastern India, to delineate groundwater potential zones (GWPZs).
View Article and Find Full Text PDFData Brief
October 2025
INRAE, US ODR, Castanet-Tolosan F-31326, France.
Lots of agricultural or environmental studies, researches, policy evaluations are based on Land Parcel Information System (LPIS), combined with other pedo-climatic or agro-environmental data. This is the case for example for different kinds of models, as crop models which have been used widely in France to assess ecosystemic services or carbon storage, agent-based models for watershed analyses or for models assessing erosion risks. However, integration of pedo-climatic and agro-environmental data at a high-resolution level remains challenging.
View Article and Find Full Text PDFBidens macroptera symbolizes the change of a season, marking the transition from the rainy season to autumn, heralding the new year for Ethiopians. Despite a general understanding of its geographic regions, significant gaps remain in identifying the habitat distribution and key predictor variables of Bidens macroptera through species distribution modeling (SDM) in the context of climate change. We developed an ensemble species distribution model using 2 statistical and 3 machine learning algorithms.
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