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Then, the simultaneous settlement of all the column units was integrated to obtain the settlement of the landfill and storage capacity of all the column units; this allowed to obtain the storage capacity of the landfill based on the layer-wise summation method.
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This paper proposes a practical approach for calculating the settlement and storage capacity of landfills based on the space and time discretization of the landfilling process.
The primary objective of this study is to examine floral diversity of the OUSL premises that was rehabilitated from a landfill site and to determine suitable trees for landfill sites based on growth performance and biomass carbon stocks.
As was presented above, operational modes could also have significant impact on landfill stabilization, based on the leachate quality, especially in these codisposing landfills of MWSI BA and MSW.
A method is proposed for modeling leachate flow-rate in a municipal solid waste (MSW) landfill site, based on a popular neural network – the backpropagation algorithm (neural network-based leachate prediction method; NN-LEAP).
This work has studied the effectiveness of a treatment method for the degradation of landfill leachates, based on a photocatalytic advanced oxidation process.
The DSS ultimately enables comparisons among different landfill designs based on their performances (i.e. leachate head stability, and groundwater contamination), constructional stability and costs.
In addition, a geographic information system (GIS) model was developed to determine suitable locations for waste conversion facilities and landfill sites based on integration of environmental, social, and economic factors.
Because environmental sampling was limited in scope and time frame, we conducted the internal comparisons among members of the LC cohort according to the potential for exposure of each cohort member to the landfill chemicals, based on qualitative factors.
An approach to assess landfill capacities and develop landfill closure plans based on prediction of landfill settlements is proposed.
The calculations for the landfill gas were based on the following assumptions: Content of CH4 in landfill gas xCH4 (55%) Collection efficiency (25%) Heating value of CH4 (37.8 MJ Nm−3) Efficiency of electricity production (30%).
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