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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1016/j.wasman.2016.03.030
|2 doi
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|a pubmed25n0863.xml
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|a (DE-627)NLM258972181
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|a (NLM)27033994
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|a (PII)S0956-053X(16)30114-3
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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1 |
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|a Grugnaletti, Matteo
|e verfasserin
|4 aut
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|a An easy-to-use tool for the evaluation of leachate production at landfill sites
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|c 2016
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 12.05.2017
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|a Date Revised 12.05.2017
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2016 Elsevier Ltd. All rights reserved.
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|a A simulation program for the evaluation of leachate generation at landfill sites is herein presented. The developed tool is based on a water balance model that accounts for all the key processes influencing leachate generation through analytical and empirical equations. After a short description of the tool, different simulations on four Italian landfill sites are shown. The obtained results revealed that when literature values were assumed for the unknown input parameters, the model provided a rough estimation of the leachate production measured in the field. In this case, indeed, the deviations between observed and predicted data appeared, in some cases, significant. Conversely, by performing a preliminary calibration for some of the unknown input parameters (e.g. initial moisture content of wastes, compression index), in nearly all cases the model performances significantly improved. These results although showed the potential capability of a water balance model to estimate the leachate production at landfill sites also highlighted the intrinsic limitation of a deterministic approach to accurately forecast the leachate production over time. Indeed, parameters such as the initial water content of incoming waste and the compression index, that have a great influence on the leachate production, may exhibit temporal variation due to seasonal changing of weather conditions (e.g. rainfall, air humidity) as well as to seasonal variability in the amount and type of specific waste fractions produced (e.g. yard waste, food, plastics) that make their prediction quite complicated. In this sense, we believe that a tool such as the one proposed in this work that requires a limited number of unknown parameters, can be easier handled to quantify the uncertainties
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|a Journal Article
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|a Landfill
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|a Leachate
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|a Municipal solid waste
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| 650 |
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|a Screening tool
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| 650 |
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|a Water balance
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| 650 |
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|a Soil Pollutants
|2 NLM
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| 650 |
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|a Water Pollutants
|2 NLM
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| 700 |
1 |
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|a Pantini, Sara
|e verfasserin
|4 aut
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1 |
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|a Verginelli, Iason
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lombardi, Francesco
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Waste management (New York, N.Y.)
|d 1999
|g 55(2016) vom: 13. Sept., Seite 204-19
|w (DE-627)NLM098197061
|x 1879-2456
|7 nnns
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| 773 |
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|g volume:55
|g year:2016
|g day:13
|g month:09
|g pages:204-19
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| 856 |
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|u http://dx.doi.org/10.1016/j.wasman.2016.03.030
|3 Volltext
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