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But since its closing, Fresh Kills has become a model for landfill reclamation around the world, having been transformed into a vast green space full of wildlife.
In this paper, we present a new code for the modelling and inversion of resistivity and chargeability data using a priori information to improve the accuracy of the reconstructed model for landfill.
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This paper developed a two-dimensional axisymmetric analytical model for layered landfills with vertical wells.
Hence, the proposed simple mathematical models for these landfill properties can be used to design municipal solid waste landfills in the absence of landfill-specific field data under seismic conditions.
Separate modelling of landfill dynamics and management in each country would improve the estimates of GHG emissions.
The methodology combines water budget simulations using HELP model with fate and risk simulations using MMSOILS model for 5 kinds of landfill structures and 2 types of leaching models, and calculates the risk distribution over 400 grids in the down gradient direction of groundwater.
In this study we present a neural network model for predicting the methane fraction in landfill gas originating from field-scale landfill bioreactors.
Limited comparison of the model's predictions with experimental data for a particular landfill indicates the potential of the model for predicting the dynamic behavior of large landfills.
The landfill was a model for others across the country.
Despite being built in an era of relatively primitive landfill technology (Fresh Kills, unlike current landfills, had no liner), subsequent retrofits like the methane recovery have made the landfill something of a model for visiting delegations from Israel, Hungary and other countries grappling with the end life of major, modern sanitary landfills.
A fundamental problem with modelling of landfills is the severe shortage of publicly available experimental data for their static and dynamical properties, which hinders the development of accurate models for them.
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