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Large-area Analysis of soil Erosion and Landslides Induced by Rainfall: A Case of Unsaturated Shallow Deposits

Journal of Mountain Science 2015年第4期12卷 783-796页

作者： CUOMO Sabatino DELLA SALA Maria Department of Civil Engineering University of Salerno

Unsaturated shallow soil deposits may be affected by either superficial soil erosion or shallow landslides in adjacent or overlapping source areas and in different seasons when a different soil suction *** triggering analysis of both these processes is a relevant issue for the hazard analysis while the literature mostly provides specific approaches for erosion or for *** paper proposes a largearea analysis for a case study of Southern Italy,consisting of unsaturated shallow deposits of loose pyroclastic(air-fall) volcanic soils that have been repeatedly affected by erosion and landslides in special *** a past catastrophic event, the simulated source areas of shallow landslides are smaller than those observed in the field while the simulated eroded areas with thickness greater than 5cm are comparable with the in-situ evidences, if the analysis takes into account high rainfall intensity and a spatially variable soil cover *** in general, the results of the paper are consistent with the previous literature and also provide a methodological contribution about the application of distinct tools over large *** added value is that the paper shows how the combination of distinct large-area analyses may help with understanding the dominant slope instability *** once this goal is fully achieved, can specific physically-based analyses be confidently performed at detailed scales and for smaller specific areas.

关键词： soil Erosion Landslide soil suction Slope instability mechanism Modelling

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Effects of biochar on soil water retention curves of compacted clay during wetting and drying

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Biochar 2022年第1期4卷 1117-1130页

作者： James Tsz Fung Wong Ka Lai Chow Xun Wen Chen Charles Wang Wai Ng Ming Hung Wong Department of Civil and Environmental Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongSARChina Department of Geography Hong Kong Baptist UniversityKowloon TongHong KongSARChina Consortium on Health EnvironmentEducation and Research(CHEER)Department of Science and Environmental StudiesThe Education University of Hong KongTai PoHong KongSARChina Guangdong Provincial Key Laboratory of soil and Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China State Environmental Protection Key Laboratory of Integrated Surface Water Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China

Compacted clay possesses a low water permeability and has been widely used in geo-environmental facilities such as landfill cover *** studies revealed the potential applications of compacted biochar-amended clay(BAC)as an alternative landfill cover ***,the effects of biochar on the soil water retention curves(SWRCs)of clay at low suction are not *** study can help fill this knowledge gap by measuring the wetting and drying SWRCs of clay and BAC(20%biochar).soils were compacted in instrumented soil columns and subjected to a wetting and drying cycle,and soil water content and suction were measured along with the soil *** was saturated faster when compared with *** drying,the soil water content of clay at 65 mm depth dropped to almost zero,while about 5%of water was retained in *** showed that biochar increased the soil water retention capacity of compacted clay upon *** showed that biochar-clay composite possesses a higher soil water retention capacity at a low soil suction range(<1000 kPa)compared with clay *** revealed the benefits of using compacted biochar-clay composite as a hydraulic barrier to minimize desiccation-induced cracks and potentially promote its serviceability,especially in arid and semi-arid *** composite is also a carbon sink material that can reduce landfill gas emissions and pollutant leaching.

关键词： soil amendment Biochar-clay composite soil carbon soil suction soil depth

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Estimation of spatiotemporal response of rooted soil using a machine learning approach

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2020年第6期21卷 462-477页

作者： Zhi-liang CHENG Wan-huan ZHOU Zhi DING Yong-xing GUO State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering University of MacaoMacao SAR 999078China Zhuhai UM Science and Technology Research Institute Zhuhai 519000China Department of Civil and Environmental Engineering School of EngineeringZhejiang University City CollegeHangzhou 310015China Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and TechnologyWuhan 430081China

In this study,a machine learning method,*** programming(GP),is employed to obtain a simplified statistical model to describe the variation of soil suction in drying cycles using five selected influential *** data used for model development was recorded by an in-situ *** image processing technology is used to quantify several tree canopy *** on four accuracy metrics,*** mean square error(RMSE),mean absolute percentage error(MAPE),coefficient of determination(R2),and relative error,the performance of the proposed GP model was *** results indicate that the model can give a reasonable estimation for the spatiotemporal variations of soil suction around a tree with acceptable *** sensitivity analysis for the statistical model obtained using limited data of a specific region demonstrates the drying time as the most influential variable and the initial soil suction as the second most influential variable for the soil suction variations.A case study was conducted using a set of assumed input variable values and validated that the simplified GP model can be used to estimate and predict the spatiotemporal variations of soil suction in rooted soil at a certain range.

关键词： Genetic programming(GP) Simplified statistical model Spatiotemporal variations soil suction

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