Effect of Soil Type and Vegetation on the Performance of Evapotranspirative Landfill Biocovers: Field Investigations and Water Balance Modeling

Jalilzadeh, Hiva; Hettiaratchi, J. Patrick A.; Fleming, Ian; Pokhrel, Dinesh

doi:10.1061/(asce)hz.2153-5515.0000535

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…Root morphology might play a major role in the performance of the system: roots take up water, increasing permeability (i.e., increasing penetration of N 2 and O 2 ). Root systems in alfalfa consist of deep taproots that can extend to 35 cm, while the root systems in grass are shallow (root mat) and only extend to about 20 cm [24]. Alfalfa plants used in our study had taproots, while the native grass and Japanese millet had fibrous root structures, explaining the distinct difference in gas profiles amongst the different vegetation species.…”

Section: Gas Concentration Profilesmentioning

confidence: 80%

“…The vegetated flow-through biofilter columns were set up outdoors at the Okotoks Eco-center research facility located in Okotoks, Alberta, Canada (50 • 42 58.78 N and 113 • 57 0.94 W). The facility is located in the prairie region of Canada, 1053 m above mean sea level and receives an annual average precipitation of 437 mm [24]. The climate is semi-arid and large temperature variations occur during summer and winter seasons, with mean minimum and maximum air temperatures ranging between −20.5 • C and 25.5 • C.…”

Section: Study Locationmentioning

confidence: 99%

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Impact of Landfill Gas Exposure on Vegetation in Engineered Landfill Biocover Systems Implemented to Minimize Fugitive Methane Emissions from Landfills

Attalage

Hettiaratchi

Chu

et al. 2023

IJERPH

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Engineered landfill biocovers (LBCs) minimize the escape of methane into the atmosphere through biological oxidation. Vegetation plays a crucial role in LBCs and can suffer from hypoxia caused by the displacement of root-zone oxygen due to landfill gas and competition for oxygen with methanotrophic bacteria. To investigate the impact of methane gas on vegetation growth, we conducted an outdoor experiment using eight vegetated flow-through columns filled with a 45 cm mixture of 70% topsoil and 30% compost, planted with three types of vegetation: native grass blend, Japanese millet, and alfalfa. The experiment included three control columns and five columns exposed to methane, as loading rates gradually increased from 75 to 845 gCH4/m2/d over a period of 65 days. At the highest flux, we observed a reduction of 51%, 31%, and 19% in plant height, and 35%, 25%, and 17% in root length in native grass, Japanese millet, and alfalfa, respectively. The column gas profiles indicated that oxygen concentrations were below the levels required for healthy plant growth, which explains the stunted growth observed in the plants used in this experiment. Overall, the experimental results demonstrate that methane gas has a significant impact on the growth of vegetation used in LBCs.

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Section: Gas Concentration Profilesmentioning

confidence: 80%

Section: Study Locationmentioning

confidence: 99%

Impact of Landfill Gas Exposure on Vegetation in Engineered Landfill Biocover Systems Implemented to Minimize Fugitive Methane Emissions from Landfills

Attalage

Hettiaratchi

Chu

et al. 2023

IJERPH

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“…The calcium content ranged between 253.5-789.9 mg/L, 217.9-664. A study conducted in 2020 in Canada [37] aimed to determine the water balance. Seven lysimeters of two granular media types (i.e., topsoil and compost mixture) and three types of vegetation 15 (i.e., native grass species, alfalfa, and Japanese millet) were constructed.…”

Section: Application Of Lysimeter To Determine the Quality Of The Leachatementioning

confidence: 99%

A Review of Lysimeter Experiments Carried Out on Municipal Landfill Waste

Dąbrowska

Rykała

2021

Toxics

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The groundwater risk assessment in the vicinity of landfill sites requires, among others, representative monitoring and testing for pollutants leaching from the waste. Lysimeter studies can serve as an example of dynamic leaching tests. However, due to the bacteriological composition of the municipal waste, they are rarely carried out. These tests allow for the proper design of the landfill protection system against migration of pollutants into the ground, assessment of bacteriological, biochemical and chemical risk for the groundwater, determination of the water balance of leachate as well as examination of the course of processes taking place in the waste landfill with a diversified access to oxygen. This paper addresses the issue of performing lysimeter studies on a sample of municipal waste in various scientific centers. It analyzes the size of lysimeters, their construction, the method of water supply, the duration of the experiment, the scope of research, and the purpose of lysimeter studies.

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“…Many prediction models based on water balance in landfill sites are used for analyzing the quantity and quality of leachate. These involve the hydrologic assessment of a landfill model [2][3][4][5], which is the equation of Richard for one-phase unsaturated flow through homogeneous and heterogeneous porous media [6][7][8]. Another method used for analyzing solute transport in landfills is a convective-dispersive equation, which uses the transport and transformation processes of dispersion, advection, and sorption in unsaturated porous media and chemical and biological transformation [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine

Alizamir

Kazemi

Kermani

et al. 2023

Water

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The likelihood of surface water and groundwater contamination is higher in regions close to landfills due to the possibility of leachate percolation, which is a potential source of pollution. Therefore, proposing a reliable framework for monitoring leachate and groundwater parameters is an essential task for the managers and authorities of water quality control. For this purpose, an efficient hybrid artificial intelligence model based on grey wolf metaheuristic optimization algorithm and extreme learning machine (ELM-GWO) is used for predicting landfill leachate quality (COD and BOD5) and groundwater quality (turbidity and EC) at the Saravan landfill, Rasht, Iran. In this study, leachate and groundwater samples were collected from the Saravan landfill and monitoring wells. Moreover, the concentration of different physico-chemical parameters and heavy metal concentration in leachate (Cd, Cr, Cu, Fe, Ni, Pb, Mn, Zn, turbidity, Ca, Na, NO3, Cl, K, COD, and BOD5) and in groundwater (Cd, Cr, Cu, Fe, Ni, Pb, Mn, Zn, turbidity, EC, TDS, pH, Cl, Na, NO3, and K). The results obtained from ELM-GWO were compared with four different artificial intelligence models: multivariate adaptive regression splines (MARS), extreme learning machine (ELM), multilayer perceptron artificial neural network (MLPANN), and multilayer perceptron artificial neural network integrated with grey wolf metaheuristic optimization algorithm (MLPANN-GWO). The results of this study confirm that ELM-GWO considerably enhanced the predictive performance of the MLPANN-GWO, ELM, MLPANN, and MARS models in terms of the root-mean-square error, respectively, by 43.07%, 73.88%, 74.5%, and 88.55% for COD; 23.91%, 59.31%, 62.85%, and 77.71% for BOD5; 14.08%, 47.86%, 53.43%, and 57.04% for turbidity; and 38.57%, 59.64%, 67.94%, and 74.76% for EC. Therefore, ELM-GWO can be applied as a robust approach for investigating leachate and groundwater quality parameters in different landfill sites.

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Effect of Soil Type and Vegetation on the Performance of Evapotranspirative Landfill Biocovers: Field Investigations and Water Balance Modeling

Cited by 10 publications

References 22 publications

Impact of Landfill Gas Exposure on Vegetation in Engineered Landfill Biocover Systems Implemented to Minimize Fugitive Methane Emissions from Landfills

Impact of Landfill Gas Exposure on Vegetation in Engineered Landfill Biocover Systems Implemented to Minimize Fugitive Methane Emissions from Landfills

A Review of Lysimeter Experiments Carried Out on Municipal Landfill Waste

Investigating Landfill Leachate and Groundwater Quality Prediction Using a Robust Integrated Artificial Intelligence Model: Grey Wolf Metaheuristic Optimization Algorithm and Extreme Learning Machine

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