The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Cn Liu - One of the best experts on this subject based on the ideXlab platform.
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Unsaturated consolidation theory for the prediction of long-term municipal solid waste Landfill settlement
SAGE PUBLICATIONS LTD, 2020Co-Authors: Cn LiuAbstract:[[abstract]]The understanding of long-term Landfill settlement is important for Landfill Design and rehabilitation. However, suitable models that can consider both the mechanical and bio-decomposition mechanisms in predicting the long-term Landfill settlement are generally not available. In this paper, a model based on unsaturated consolidation theory and considering the biodegradation process is introduced to simulate the Landfill settlement behaviour. The details of problem formulations and the derivation of the solution for the formulated differential equation of gas pressure are presented. A step-by-step analytical procedure employing this approach for estimating settlement is proposed. The proposed model can generally model the typical features of short-term and long-term behaviour. The proposed model also yields results that are comparable with the field measurements.[[note]]SC
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Modeling municipal solid waste Landfill settlement
'Springer Fachmedien Wiesbaden GmbH', 2020Co-Authors: Cn LiuAbstract:[[abstract]]A good prediction of solid waste Landfill settlement is important for Landfill Design and rehabilitation. A one-dimensional model which accounts for mechanical settlement and biodegradation processes is developed to simulate the settlement behavior of municipal solid waste Landfill. The derivation of analytical solutions for specific conditions is introduced. The numerical approach, capable of coping with more general conditions, is also presented to estimate the spatial and temporal distribution of Landfill settlement. The proposed model can simulate typical features of short- and long-term Landfill settlement behaviors. With proper selection of parameter values, field measurements are well simulated by this model. The effects of some Design parameters on the settlement behavior of municipal solid waste Landfills are also examined with the help of this model.[[note]]SC
Bahareh Fallah - One of the best experts on this subject based on the ideXlab platform.
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bibliometric and text mining approaches to evaluate Landfill Design standards
Scientometrics, 2019Co-Authors: Amy Richter, Bahareh FallahAbstract:In 2014, Canadians generated 961 kg of waste per capita. Landfilling is a logical choice for many Canadian communities because of land availability. This paper examines and compares five different Design criteria from provincial standards and guidelines in British Columbia, Alberta, Manitoba, Nova Scotia, and the Northwest Territories. Text mining including word counts, word frequency analysis, lexical quantification, and the Gunning-Fog Index are used to identify linguistic and stylistic features in the corpora. Results show that Design standards and guidelines tend to be driven by climate, demographic, and environmental considerations. Rank–frequency analysis showed that the Design standards were non-Zipfian (0.409 < exponent < 0.681), but a power relationship generally fit well (0.90 < R2 < 0.99). Lexical density and the Gunning-Fog Index do not consider content in figures and tables, which are key components in engineering Design standards and guidelines, so a Table and Figure Factor was developed. The factor was negatively (R2 = 0.735; Slope = − 1.1) related to lexical density, supporting the use of tables and figures in engineering Design standards and guidelines. Comparing equivalent word counts in standards to Landfilling rate and Landfills per capita yielded better results (Spearman R = − 0.7, p = 0.08) compared to government expenditure on waste management. Lexical density and Gunning-Fog Index may be good metrics when comparing Landfill efficiency metrics. The study’s outcomes may help to develop better Landfill Design standards in English speaking countries.
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Bibliometric and text mining approaches to evaluate Landfill Design standards
Scientometrics, 2019Co-Authors: Amy Richter, Bahareh FallahAbstract:In 2014, Canadians generated 961 kg of waste per capita. Landfilling is a logical choice for many Canadian communities because of land availability. This paper examines and compares five different Design criteria from provincial standards and guidelines in British Columbia, Alberta, Manitoba, Nova Scotia, and the Northwest Territories. Text mining including word counts, word frequency analysis, lexical quantification, and the Gunning-Fog Index are used to identify linguistic and stylistic features in the corpora. Results show that Design standards and guidelines tend to be driven by climate, demographic, and environmental considerations. Rank–frequency analysis showed that the Design standards were non-Zipfian (0.409
Kuosheng Chen - One of the best experts on this subject based on the ideXlab platform.
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Modeling municipal solid waste Landfill settlement
Environmental Earth Sciences, 2012Co-Authors: Kuosheng Chen, Rongher ChenAbstract:A good prediction of solid waste Landfill settlement is important for Landfill Design and rehabilitation. A one-dimensional model which accounts for mechanical settlement and biodegradation processes is developed to simulate the settlement behavior of municipal solid waste Landfill. The derivation of analytical solutions for specific conditions is introduced. The numerical approach, capable of coping with more general conditions, is also presented to estimate the spatial and temporal distribution of Landfill settlement. The proposed model can simulate typical features of short- and long-term Landfill settlement behaviors. With proper selection of parameter values, field measurements are well simulated by this model. The effects of some Design parameters on the settlement behavior of municipal solid waste Landfills are also examined with the help of this model.
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unsaturated consolidation theory for the prediction of long term municipal solid waste Landfill settlement
Waste Management & Research, 2006Co-Authors: Rongher Chen, Kuosheng ChenAbstract:The understanding of long-term Landfill settlement is important for Landfill Design and rehabilitation. However, suitable models that can consider both the mechanical and biodecomposition mechanisms in predicting the long-term Landfill settlement are generally not available. In this paper, a model based on unsaturated consolidation theory and considering the biodegradation process is introduced to simulate the Landfill settlement behaviour. The details of problem formulations and the derivation of the solution for the formulated differential equation of gas pressure are presented. A step-bystep analytical procedure employing this approach for estimating settlement is proposed. The proposed model can generally model the typical features of short-term and long-term behaviour. The proposed model also yields results that are comparable with the field measurements.
Rongher Chen - One of the best experts on this subject based on the ideXlab platform.
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Modeling municipal solid waste Landfill settlement
Environmental Earth Sciences, 2012Co-Authors: Kuosheng Chen, Rongher ChenAbstract:A good prediction of solid waste Landfill settlement is important for Landfill Design and rehabilitation. A one-dimensional model which accounts for mechanical settlement and biodegradation processes is developed to simulate the settlement behavior of municipal solid waste Landfill. The derivation of analytical solutions for specific conditions is introduced. The numerical approach, capable of coping with more general conditions, is also presented to estimate the spatial and temporal distribution of Landfill settlement. The proposed model can simulate typical features of short- and long-term Landfill settlement behaviors. With proper selection of parameter values, field measurements are well simulated by this model. The effects of some Design parameters on the settlement behavior of municipal solid waste Landfills are also examined with the help of this model.
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unsaturated consolidation theory for the prediction of long term municipal solid waste Landfill settlement
Waste Management & Research, 2006Co-Authors: Rongher Chen, Kuosheng ChenAbstract:The understanding of long-term Landfill settlement is important for Landfill Design and rehabilitation. However, suitable models that can consider both the mechanical and biodecomposition mechanisms in predicting the long-term Landfill settlement are generally not available. In this paper, a model based on unsaturated consolidation theory and considering the biodegradation process is introduced to simulate the Landfill settlement behaviour. The details of problem formulations and the derivation of the solution for the formulated differential equation of gas pressure are presented. A step-bystep analytical procedure employing this approach for estimating settlement is proposed. The proposed model can generally model the typical features of short-term and long-term behaviour. The proposed model also yields results that are comparable with the field measurements.
Ali Noorzad - One of the best experts on this subject based on the ideXlab platform.
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Validation of Hyperbolic Model by the Results of Triaxial and Direct Shear Tests of Municipal Solid Waste
Geotechnical and Geological Engineering, 2017Co-Authors: Mohsen Asadi, Nader Shariatmadari, Mehran Karimpour-fard, Ali NoorzadAbstract:The increasing demand of engineering Landfills requires that Designers propose a framework for Landfill Design, construction, repair and maintenance. As municipal solid waste (MSW) is a major part of a Landfill, the analysis should consider MSW mechanical behavior using a constitutive model. To investigate this, 18 direct shear (DS) and triaxial (TX) tests were conducted on MSW samples with different fiber contents. Different shearing mechanisms lead to understand effects of fibers on stress–strain response. Based on obtained results the hyperbolic model Duncan and Chang (J Soil Mech Found Div 96(5):1629–1653, 1970) has been employed to simulate the TX results indicating the ability of the model to predict stress–strain behavior of MSW. This model could also be employed to the DS test results with some assumptions. The model can capture DS stress–strain response well whereas for TX tests the predictions were just enough. The experimental results and two sets of proposed MSW parameters of hyperbolic model have been compared and discussed.
