A comparison of small-scale, pilot-scale and large-scale tests for predicting leaching behaviour of landfilled wastes

Kylefors, Katarina; Andreas, Lale; Lagerkvist, Anders

doi:10.1016/s0956-053x(02)00112-5

Cited by 59 publications

(32 citation statements)

References 14 publications

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“…Lower COD removal can be partly attributed to higher ammonia concentration, which is a difficult inorganic matter to oxidize as also reported by Vogel et al (2000). Generally, the amount of COD removed depends on the reaction of organics with inorganics or inorganics with inorganics (Kylefors et al Kylefors et al (2003) concluded that Fe(II) and sulphide were the main contributors to inorganic matters that influenced COD reduction. Figure 2 shows the removal of NH 4 -N at different dosages of both oxidants.…”

Section: Optimum Dosages Of Kmno 4 and H 2 Omentioning

confidence: 70%

Potential of KMnO4 and H2O2 in treating semi-aerobic landfill leachate

et al. 2014

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Treatment of recalcitrant landfill leachate was carried out using hydrogen peroxide (H 2 O 2 ) and potassium permanganate (KMnO 4 ). The treatment performance was reported in terms of colour, chemical oxygen demand (COD) and ammoniacal nitrogen (NH 4 -N). The effect of oxidant dosages and pH was determined and optimum conditions were determined considering the removal of parameters of interest. The optimum dosage of both oxidants was similar in terms of COD removal; however, H 2 O 2 gave better removal (42 %) and similar results were obtained for NH 4 -N (24 %). KMnO 4 proved better in terms of colour with a reduction of 74 % compared to 43 % by hydrogen peroxide at pH 7. Acidic conditions (pH 2-5) proved conducive towards the removal of all parameters with the exception of COD removal by KMnO 4 that exhibited a low removal at pH 5 and increased with increasing pH. The COD reduction at pH 3 was *38 % for KMnO 4 and H 2 O 2 , whereas the reduction in NH 4 -N was 22 and 28 % for KMnO 4 and H 2 O 2 , respectively. The COD and NH 4 -N removal performance of H 2 O 2 was better compared with KMnO 4 ; however, consistently higher colour removal was obtained for KMnO 4 .

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Section: Optimum Dosages Of Kmno 4 and H 2 Omentioning

confidence: 70%

Potential of KMnO4 and H2O2 in treating semi-aerobic landfill leachate

et al. 2014

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“…It must be noted that recirculation of leachate differs from conditions at full-scale landfill sites in South Africa where this practice is not applied. Recirculation, in lysimeter studies, serves to increase the contact between waste, water microorganisms and nutrients (Kylefors et al, 2003). Thus the effective waste degradation is expected to be higher than that of full a scale landfill where preferential flow paths and areas of reduced permeability exclude areas of the waste body from contact with percolating leachate.…”

Section: Construction and Operation Of The Windrowsmentioning

confidence: 99%

“…The assumption is that in the long term the physical leaching is not time dependent, but rather reliant on the flux of water through the waste. This allows for a direct comparison with full-scale landfill sites (Leikam et al, 1997;Kylefors et al, 2003;Robinson et al, 2005b). The testing period extended for 273d and, based on a weekly extraction of 2.5 ℓ, resulted in a cumulative L/S ratio of 0.55.…”

Section: Construction and Operation Of The Windrowsmentioning

confidence: 99%

Long-term emissions from mechanically biologically treated waste: Influence on leachate quality

Trois¹,

Griffith²

2007

WSA

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Long-term emissions from municipal solid waste landfills can be reduced by mechanical-biological treatment (MBT) of waste prior to disposal. The pretreatment accelerates waste degradation resulting in a reduction of the landfill's polluting potential. This study reports on the applicability and efficiency of MBT in Durban, South Africa. Waste treatment in passively aerated open windrows, using the Dome Aeration Technology (DAT), was identified as an appropriate technology due to low construction and operational resource requirements. Three self-aerated windrows were set up at the Bisasar Road Landfill in order to study the efficiency of the process for different composting timeframes (8 and 20 weeks). The 'post-landfilled' behaviour of the pretreated material was analysed in anaerobic lysimeters. The effect of different degrees of degradation was studied in relation to waste composition and rate of irrigation. The lysimeter tests demonstrated that the initial acidic inhibition that is characteristic of waste with high organic content can be eliminated through pretreatment. Notwithstanding the rapid onset of methanogenesis, high COD concentrations of non-degradable organics in the leachate remain after 200 d of testing. Despite the high COD levels, a clear benefit of waste pretreatment is the low concentration of ammoniacal nitrogen after only 8 weeks of composting. The results of this research can be used to define a framework for sustainable waste disposal, particularly in relation to the subtropical climatic conditions experienced in Durban, resource availability and waste composition.

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“…Cette approche, bien qu'intéressante puisque censée permettre une gestion des déchets appropriée et respectueuse de l'environnement, montre néanmoins des limites. En effet, les résultats obtenus à l'échelle pilote ou terrain divergent généralement des prédictions extrapolées à partir des essais de laboratoire (Twardowska et al, 2002 ;Kylefors et al, 2003, Lidelöw et lagerkvist, 2007ou van der Sloot et al, 2007. Pour être fiable, une prédiction nécessiterait une connaissance fine de l'ensemble des mécanismes en jeu (réactivité du déchet et mécanismes de transfert de matière), de leurs paramètres d'influence et des conditions particulières du scénario envisagé.…”

Section: Introductionunclassified

Modéliser pour comprendre, modéliser pour prévoir : apports de la modélisation pour l'évaluation environnementale des filières de gestion de déchets

Peyronnard¹,

Blanc²,

Morand³

2009

Environnement, Ingénierie &Amp; Développement

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La modélisation est un outil indispensable pour l’évaluation environnementale des filières de gestion de déchets, notamment lorsqu’il s’agit de les recycler ou de les réutiliser en tant que matières premières. L’objectif de prédiction des flux de polluants et des impacts environnementaux butte sur la difficulté, voire l’impossibilité, de valider les modèles élaborés. Pour dépasser cette question de la fiabilité de la simulation prédictive, une nouvelle approche de l’évaluation environnementale est proposée. Il s’agit de déterminer, à partir d’une connaissance fine du comportement des matériaux, les conditions pour lesquelles les polluants sont mobilisés. La modélisation peut alors être utilisée à deux niveaux : « modéliser pour comprendre » et « modéliser pour prévoir ». « Modéliser pour comprendre » consiste à utiliser la modélisation et la simulation numérique pour valider les hypothèses formulées à partir des observations expérimentales et ainsi identifier et comprendre les mécanismes contrôlant la rétention/mobilisation des polluants. « Modéliser pour prévoir » consiste alors à explorer par simulation numérique le comportement du déchet confronte a une multitude de conditions d’exposition afin de déterminer celles n’induisant qu’un risque limité de mobilisation des polluants. Les scénarios de gestion éco-compatibles peuvent alors être proposés.

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A comparison of small-scale, pilot-scale and large-scale tests for predicting leaching behaviour of landfilled wastes

Cited by 59 publications

References 14 publications

Potential of KMnO4 and H2O2 in treating semi-aerobic landfill leachate

Potential of KMnO4 and H2O2 in treating semi-aerobic landfill leachate

Long-term emissions from mechanically biologically treated waste: Influence on leachate quality

Modéliser pour comprendre, modéliser pour prévoir : apports de la modélisation pour l'évaluation environnementale des filières de gestion de déchets

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