Determination of field capacity of municipal solid waste with surcharge simulation

Velásquez, M.T. Orta de; Cruz-Rivera, Reynaldo; Rojas-Valencia, Neftalí; Monje–Ramírez, Ignacio; Sánchez-GóMez, Jorge

doi:10.1177/0734242x0302100207

Cited by 31 publications

(14 citation statements)

References 5 publications

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“…13), which is in line with other modeling approaches (e.g., São Mateus et al 2012, Lobo et al 2002, Lobo and Tejero 2007, assumes that the waste field capacity decreases if the mean pressure on the waste, r s , increases because of the materials redistribution which entails voids reduction in number and size. This behavior was also observed in some laboratory tests carried out by Powrie et al (2000), De Velásquez et al (2003b), Olivier and Gourc (2007) and Wu et al (2012). However, it should be considered that this aspect is still under discussion.…”

Section: Incoming Watersupporting

confidence: 73%

A new screening model for leachate production assessment at landfill sites

Pantini

Verginelli

Lombardi

2013

Int. J. Environ. Sci. Technol.

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This paper presents an alternative water balance model for predicting leachate production in landfills, from the operative to the post-closure management. The developed model, based on analytical and empirical equations, provides a quantitative estimation of leachate volumes, using a water balance approach which accounts for the different rates of the incoming water, water losses and water consumption. Aging and compression are also included, allowing to assess the progressive variation of hydraulic and physical properties of deposited wastes. In this work, after a brief description of the model architecture, different applications to hypothetical scenarios and to a real landfill are presented. Namely, in order to highlight how aging and biodegradation can influence the expected leachate production, the results of the developed model are also compared with those provided by the Hydrologic Evaluation of Landfill Performance model which neglects both these processes. The obtained results showed that wastes compression may affect leachate prediction in a large extent during operative stage of a landfill, and neglecting these processes could lead to underestimation up to one order of magnitude. Also biodegradation of waste organic matter may result relevant for leachate volumes assessment, influencing water storage capacity of wastes and leading to a leachate production 2-3 times greater than those obtained neglecting these phenomena. Finally, the application of the developed model to the real landfill shows a quite good agreement with the field data, whereas the Hydrologic Evaluation of Landfill Performance model tends to underestimate the leachate volumes with errors up to 80 %.

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Section: Incoming Watersupporting

confidence: 73%

A new screening model for leachate production assessment at landfill sites

Pantini

Verginelli

Lombardi

2013

Int. J. Environ. Sci. Technol.

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“…Beaven (2000) investigated the hydrogeological properties of typical household waste in England contained in a large size compression cell (2 m in diameter), and found that the gravimetric water content at field capacity of the waste reduced with increasing waste density and stress. de Velásquez et al (2003) conducted field capacity tests on a typical Mexican MSW, and the results showed that the higher the compaction of the sample, the smaller the amount of water required to satisfy the field capacity and thus to start the leaching process. Tu et al (2008) carried out laboratory tests to measure water holdup on artificial waste typical to China, and showed that the gravimetric water holdup of the waste decreases with increasing dry density.…”

Section: Introductionmentioning

confidence: 99%

Time- and stress-dependent model for predicting moisture retention capacity of high-food-waste-content municipal solid waste: based on experimental evidence

Zhan

et al. 2016

J. Zhejiang Univ. Sci. A

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Moisture retention capacity (MRC) is a key parameter for the prediction of leachate production of a municipal solid waste (MSW) pile. In this paper, five sets of laboratory tests were conducted in compression cells to characterize the variation of MRC with degradation time and overburden stress. Set A was conducted on the fresh high-food-waste-content (HFWC)-MSW under different degradation conditions and a sustained stress; Set B was on the fresh HFWC-MSW by alternation of degradation time and incremental stresses; Sets C, D, and E were on fresh HFWC-MSW, zero-food-waste-content (NFWC)-MSW, and decomposed MSW, respectively, being subjected to incremental stresses. The following findings were obtained from the test results: (1) The MRC of fresh HFWC-MSW decreased exponentially with degradation time under a sustained stress. The higher waste temperature or oxygen introduction would result in a faster declining of MRC. (2) The MRCs decreased linearly with a logarithmic increase of stress for all the MSW samples with different food waste contents. The MRC of HFWC-MSW was higher than that of NFWC-MSW under a given stress, and the decomposed MSW took the second place. (3) The variation of MRC appeared to be independent of stress path in terms of stress and degradation time. Based on the test results, the dependencies of the MRC of HFWC-MSW on degradation and stress were interpreted. Then, a time-and stress-dependent model was proposed for predicting the MRC of HFWC-MSW. The model was relatively simple and convenient for design purposes, and was verified by the measured data of leachate production at the pretreatment container of Laogang Incineration Plant. Finally, the model was developed to evaluate the dewatering effect of the HFWC-MSW pile. The strategy of combining the degradationenhancing measures with stress-increasing measures is recommended in a rapid dewatering project.

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“…Several researchers have identified the factors influencing the degradation of MSW and have assessed their individual effects on the methane production. These factors include presence or absence of oxygen and hydrogen [3][4][5]; temperature [6,7]; MSW confinement time [8]; MSW field capacity and hydraulic retention time [9][10][11]; compaction and compressibility of MSW [12]; pH [13,14]; type of material used as final cover layer and the codisposition of wastes from the construction and demolition industry [15,16]; humidity content and water flow [17,18] and; the use of inoculants such as biosolids and compost, and leachate recycling [19][20][21][22][23][24][25][26]. Although the aforementioned factors are interdependent, [27] identified pH and humidity content as being most critical, whereas [28] emphasized humidity and nutrient contents as the main factors affecting the stabilization of MSW.…”

Section: Introductionmentioning

confidence: 99%