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Article

Monitoring of Subsurface Emissions and the Influence of Meteorological Factors on Landfill Gas Emissions: A Case Study of a South African Landfill

by
Prince Obinna Njoku
1,*,
Stuart Piketh
2,
Rachel Makungo
3 and
Joshua Nosa Edokpayi
3
1
Department of Geography and Environmental Sciences, Faculty of Science, Engineering and Agriculture, University of Venda, Thohoyandou 0950, South Africa
2
Climatology Research Group, Unit for Environmental Sciences and Management, North-West University, Potchefstroom 2531, South Africa
3
Department of Earth Sciences, Faculty of Science, Engineering and Agriculture, University of Venda, Thohoyandou 0950, South Africa
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(7), 5989; https://doi.org/10.3390/su15075989
Submission received: 3 February 2023 / Revised: 3 March 2023 / Accepted: 28 March 2023 / Published: 30 March 2023

Abstract

:
The government-accredited GA 2000 landfill gas analyzer was used to monitor the landfill gas (methane (CH4) and carbon dioxide (CO2)) generated from the subsurface of a landfill. Eighteen gas sample probes were constructed and placed approximately 100 m apart on the boundaries of the landfill site. The monitoring of the gases was conducted over a period of two years, taking into consideration the different seasons of the year. Results from the study show that as the LFG migrates toward the boundaries of the landfill in the subsurface, higher CO2 levels are recorded when compared to CH4. This could be a result of the oxidation process and some other factors present in the landfill. CH4 emissions ranged from 0.54 to 2.22% v/v in 2020. For the year 2021, the CH4 concentration ranged from 0.24% v/v to 2.33% v/v. In addition, the CO2 concentration for the year 2020 ranged from 4.66 to 6.37% v/v. In the year 2021, the CO2 concentration ranged from 3.5 to 6.56% v/v. Furthermore, higher gaseous concentrations were found in the surrounding active cells, where there is currently deposition of municipal solid waste (MSW). However, the monitoring probes situated in areas far away from the landfill recorded lower gaseous levels. This study recommends that there should be continuous monitoring of the LFG emission from the Thohoyandou landfill due to the different results obtained over the temporal variation. Frequent monitoring will help prevent the potential risk of fire hazards and pollution in the future.

1. Introduction

Landfills are one of the main contributors to the world’s anthropogenic greenhouse gas (GHG) emissions because massive amounts of methane (CH4) and carbon dioxide (CO2) are emitted from the degradation process of deposited waste in them [1]. In landfills, LFG is produced in three stages: bacterial degradation, chemical reactions, and volatilization. Due to complex physical, chemical, and microbiological processes, persistent organic pollutants (such as dioxins and polycyclic aromatic hydrocarbons), CH4, CO2, heavy metals, non-metallic organic compounds (NMOCs), particulate matter, and some trace elements are regularly generated in landfills [2,3]. In addition, landfill activities generate leachates; these leachates are mostly produced from rainfall, surface water from the surrounding environment, and the decomposition of waste buried in the landfill. The leachate filters through the waste and leaches or draws out several chemical substances from the waste piles. Subsequently, the leachate produced during this process is a large contributor to the rise in odor levels, contaminated groundwater, and breeding grounds for insects [4]. Sharma (2020) [5] identified that leachate generated from an open dumpsite in Himachal Pradesh, India, was responsible for most of the physicochemical parameters and heavy metals of the groundwater being in excess of the permissible limits and that the water quality improved with an increase in downstream distance from the dumpsite. Many toxic compounds generated by landfill operations have caused concerns among people who live near landfill sites [6]. Other concerns associated with waste deposition in landfills include litter, dust, rodents, and unexpected landfill fires. LFG subsurface migrations can cause severe landfill fires if not properly monitored and managed [1]. Landfill gas subsurface migration is the process by which LFG moves through the subsurface environment. The gases produced migrate through the soil and groundwater and can eventually reach the surface. This process can be accelerated by the presence of fractures or other pathways in the subsurface [7].

LFG Monitoring

Monitoring of gases emitted by landfills is divided into five categories: soil gas monitoring (subsurface gas monitoring); near-surface gas monitoring; ambient air monitoring; indoor air monitoring [8].
  • Soil gas monitoring:
Soil gas monitoring measures the concentrations of gases in the pore space of soils. Measurements of soil gas levels are taken at the depth of the landfill with the use of probes or wells. Probes or wells remove the flammable CH4 component of LFG as it is generated, allowing it to be flared or used as fuel. Scholars have suggested that the handheld GA 2000 landfill gas analyzer is the preferred instrument for government organizations monitoring landfill gas emissions. Nevertheless, other experimental instruments have been developed as an alternative to the government-approved device for measuring subsurface landfill gas [9,10].
  • Near-surface monitoring:
Near-surface monitoring is the measurement (usually by portable instruments) of gas concentrations within a few inches of the surface of the landfill. The monitoring of LFG close to the surface is executed to determine the need for, and the design of, an LFG control system. The near-surface monitoring is also used to determine if an LFG control system is adequately preventing CH4 and other LFGs from escaping in high quantities through the landfill cover. Wang-Yao et al. [11] conducted a study on the seasonal variation in LFG emissions from seven landfills in Thailand. The study used a static chamber technique to measure the LFG fluxes from September to November 2005 (dry season) and January to February 2006 (wet season). The results showed that the spatial variability of LFG emissions in the wet season was higher than that in the dry season, ranging from 0 to 825.79 g/m2/day and from 0 to 686.93 g/m2/day, respectively. The authors concluded that the higher moisture content present in the landfill during the wet season was responsible for the higher LFG emissions. Other studies conducted on near-surface monitoring include the works of Scheutz et al. [12], Park and Shin [13], and Fredenslund et al. [14].
  • Atmospheric monitoring
Atmospheric monitoring assesses the amount of contamination in the air that is breathed by individuals or in the open air. Monitoring of the ambient air at or near landfills is primarily conducted to assess the worker and community exposure risks related to airborne discharges of harmful substances [15]. Studies conducted around the world have demonstrated that long-term exposure to PM2.5, SO2, NO, NO2, and other air pollutants can have a detrimental effect on health, leading to an increased risk of disease and even premature death [15,16].
During the processes of the breaking down of municipal solid waste (MSW) in landfills, the major components of LFG generated are CH4 and CO2, which comprise approximately 90% of the total LFG generated [17]. CH4 generated from landfills is extremely flammable and poses a significant potential risk of fire outbreak in landfills and the surrounding area. When the volume or concentration of CH4 is in the range of 5–15% and is exposed to the air at a temperature range of 15–45 °C, it becomes very explosive [18]. According to DAWF (1998), the concentration of CH4 in the atmosphere inside or near any South African landfill site shall not exceed 1% (by volume) in air, or 20% of the lower explosion limit (LEL). Regular monitoring is required if methane levels in the air are discovered to be between 0.1% and 1% (i.e., between 2% and 20% of the LEL). If levels of more than 1% (i.e., 20% of the LEL) are found, the building must be evacuated and trained personnel contacted. The amount of CH4 in the air near landfill boundaries should not exceed 5%, i.e., 100% of the LEL [19]. As a result of regulatory enforcement, landfill emission levels, including subsurface gas migration, must be regularly monitored. Monitoring of these gases from the top of perimeter drilling monitoring pipes and using a hand-held landfill gas analyzer or other techniques is required once a month on average and can be as seldom as four times per year in other instances [18,20]. According to the Environmental Protection Agency, Ireland, the monitoring of the perimeter borehole wells is required once a month. An incident report must be filed with the Office of Environmental Enforcement (OEE) if the CH4 and CO2 concentrations surpass specific criteria, such as 1.0% v/v for CH4 and 1.5% v/v for CO2 [21]. However, Kiernan et al. [21] argue that monitoring the subsurface movements of gases once per month is inadequate to provide a realistic description of the flow and buildup of gases in landfills. This is because the dynamics of the landfill gas management system and activities cannot be captured by taking measurements only once per month; thus, a minimum sampling rate of once per day is advised. Notwithstanding, the monitoring of LFG once per month cannot be entirely flawed because landfill-disturbing activities do not happen all the time but sparingly. This brings LFG flows to normal if there are no forms of disturbances in the landfill. Knowing the above, this study hypothesizes that the Thohoyandou landfill site generates LFG that flows in the subsurface around the boundaries of the landfill. This study seeks to monitor the subsurface emissions of gases (CH4 and CO2) from the Thohoyandou landfill using the GA 2000 landfill gas analyzer.
Several landfill fire outbreaks have occurred in South Africa, such as the incident on the 10th of August 2016, when a section of the New England Road landfill in Pietermaritzburg erupted in flames, emitting a foul odor. At the Woodstock Road informal colony, roughly 70 houses were burned down, leaving at least 140 people homeless. The predominant LFG generated by the waste piles, as well as the dry weather, was responsible for the incident [22]. Therefore, because there are no forms of proper management and control of LFG generated from the rural landfills, there is a high tendency of fire outbreaks in the landfills and their vicinity. The Thohoyandou landfill has suffered from a series of fire outbreaks over the years (key informant: landfill manager). Therefore, it is important to monitor LFG emissions to prevent potential pollution and the risk of landfill fire.
Wastes deposited in landfills are usually compacted in horizontal strata, creating low-permeability barriers and poor vertical LFG flow [23]. Landfills are compacted daily with high-permeability top layers to prevent water intrusion, odor, and gaseous emissions. As a result, rather than the LFG escaping vertically through the landfill’s surface, LFG will frequently travel horizontally toward the landfill’s boundaries, where it will be discharged into the surroundings through sinkholes and cracks, posing a threat of fire explosion [24]. LFG migration in unsaturated soils around the landfill is mostly influenced by soil physical characteristics such as water content and soil permeability, particularly in the deeper layers of the soil strata. Microbial activity, air pressure, wind speed, temperature, nutrient availability, and oxygen content at the soil surface also influence gas movement and composition [5,25]. In addition, meteorological parameters such as barometric pressure, wind speed, rainfall, and temperature do influence the emissions of LFG. In order to understand the flow rate and travel of the LFG, it is crucial to comprehend how these parameters affect LFG emissions [26,27]. Studies have shown that changes in barometric pressure have a major influence on LFG migration. Furthermore, the effects of wind turbulence-induced pressure variations on soil-gas migration cause a significant fluctuation in gas movement in the upper layer of the soil [28,29]. Likewise, it has been observed that soil water content enhances microbial activities, thereby increasing microbial methane oxidation rates and having a significant impact on LFG migration in the soil [28,30]. Therefore, the specific objective of this study is to investigate the influence of the meteorological conditions of the Thohoyandou area on LFG generation. This study hypothesizes that meteorological factors around the Thohoyandou environs influence the LFG generation. This study also seeks to investigate the effects of meteorological conditions in the Thohoyandou area on the LFG generated and the lateral movement. The next section gives a brief detailed report on the study area and the comprehensive methods used in carrying out the study.

2. Methodology

2.1. Study Area

The Thohoyandou landfill is located in Thulamela Municipality in Muledani and manages the MSW from Thohoyandou town and some villages in the Thulamela Municipal region (Figure 1). Thulamela Municipality is 180 km south of Polokwane and serves as a gateway to the Kruger National Park. It is located within the geographical coordinates of 23°0013.0 S and 30°2755.3 E. The Municipality has a population of 584,257 and is largely made up of rural communities. Every year, Thohoyandou receives about 752 mm of rain, with most of its rain falling in the summer (December, January, and February) [31]. The landfill was granted its permit to commence operation in 2004 by the then Minister of Water Affairs and Forestry; i.e., the landfill has been operational for 19 years [32]. The landfill has around four cells that have been closed and one cell that is currently receiving waste. The cell currently receiving waste will soon reach its full lifespan and will be closed permanently. A new cell has been recently constructed and will be operational when the old functioning cell closes. According to Njoku et al. [31], the Thohoyandou landfill’s annual composition of waste sources is as follows: commercial and industrial waste (7%), construction and demolition waste (3%), municipal waste (72%), garden waste (7%), and inert waste (10%).

2.2. Design and Installation of Monitoring Probes

A reconnaissance survey was conducted before the LFG monitoring probes were installed in the landfill. A proper assessment was conducted to ascertain where the LFG monitoring probes would be located. Critical areas between the landfill and adjacent buildings such as groves of trees, utility lines, and fracture zones were assessed before installation. After a proper assessment was conducted, the LFG monitoring probes were installed around the perimeter of the landfill site. The landfill boundary areas were not far from the disposal site.
The landfill gas monitoring probes were designed with expert precise measurements for easy monitoring of the subsurface migration of the LFG using the method of [33]. This was to be able to monitor a good representation of the lateral movement of the gases. A proper LFG monitoring probe was designed to minimize air intrusion into the system so accurate gas sample measurements could be collected from the probes. If air enters the probes, it can dilute the samples, making them unrepresentative.
The LFG monitoring probes were made from PVC pipes; we were careful not to use metals to avoid vandalization or theft. These pipes were perforated along the sides to allow the ingress of LFG into the probes (Figure 2). According to Agency for Toxic Substances and Disease Registry (ATSDR), LFG levels near landfill boundaries must be monitored in MSW landfills. If LFG concentrations surpass the LEL, the smallest percentage by volume of an explosive gas in the atmosphere, there is the risk of an explosion at the monitoring stations at the site boundaries [8]. Bhailall et al. [33], during the monitoring of LFG at a South African landfill, installed the monitoring probes at the boundaries of the landfill site. This was for effective monitoring and to avoid major disturbances in the landfill area. The probes were installed in November 2019. Eighteen monitoring probes were installed at the boundaries of the landfill at a depth of approximately 1–3 m. Figure 3 shows the sampling points where the monitoring probes were installed. The probes were installed within the range of 60 to 150 m apart.
A unit monitoring probe consists of a cement top which was painted red for easy visibility. In addition, the cement top was used to protect the probes from theft or vandalism and even land fires. The threaded cap was used as a connection in which the gas samples were collected from the probes and measured using the GA 2000 landfill gas analyzer (Geotechnical Instrument; Keison Products, Chelmsford Essex, UK). The protective surface casing was designed with a tight cap which prevented water instruction into the probes. Water intrusion into the corners of the probes was also averted with the cemented base of the monitoring probe. Water intrusion into the probes was not a problem during sample collection.

2.3. Data Collection

Direct readings of gas concentrations of the principal components of LFG (CH4 and CO2) were taken using the GA 2000 landfill gas analyzer, a hand-held infrared gas analyzer developed by Geotec (Keison Products, Chelmsford Essex, UK). The hand-held GA 2000 landfill gas analyzer uses dual-wavelength infrared cells to measure CH4 and CO2 and a built-in electrochemical cell to measure O2 [9]. The instrument was used for the analysis of gas samples taken from the sampling ports installed within the landfill. The outer perforated PVC pipes help for the allowance of the flow of the LFG into the probes. The inner perforated PVC pipes also allow for the gases in the probes and trap the gases. The methodology of this study was developed in accordance with methods prescribed by the South African Bureau of Standards (SABS) referred to in the Standard Act, 1982 (Act 30 of 1982) [33].
Fay et al. [7] showed that when many borehole wells of varied head space depths are sampled, the longest time to reach a steady-state measurement is approximately 2 min. Therefore, this study adopted a monitoring length of 3 min to allow for enough settling time. This resulted in a split in the monitoring time into three different operations (baseline, sampling, and purging), each of which was observed for three minutes, and samples were analyzed after every three minutes. The baseline procedure was when the GA 2000 landfill gas analyzer was switched on and the supply valve was switched to the atmosphere to check if the sensor was powered up. It also allowed enough time for the infrared (IR) sensors to warm up and stabilize. The baseline sampling procedure ensured that no residual landfill gas remained in the chamber of the gas analyzer from previous measurement cycles.
Subsequently, during the sampling operations, the sampling valve from the GA 2000 landfill gas analyzer was connected to the extraction point of the landfill monitoring probe. The sampling valve outlet of the probes was linked to the GA 2000 landfill gas analyzer instrument, and the instrument then pulled the gas from the sampling point for approximately 60 s and the readings were recorded. Later, the measurements were repeated for 30 s consecutively three times. This was done until the readings from the GA 2000 landfill gas analyzer were stable. The results from the four measurements were then compared and averaged to give a final result. Then, the purge procedure was performed, whereby it was ensured that the LFG was removed from the instrument’s chamber.

2.4. Data Analysis for the Influence of Meteorological Factors on CH4 and CO2 Emissions

CH4 and CO2 emissions were measured using the GA 2000 landfill gas analyzer. The data were collected and stored in Excel. Meteorological data were obtained from the South African Weather Service. To determine Pearson’s correlation and statistical difference between the meteorological data and the LFG, a simple t-test analysis was conducted using the Excel tool. In order to investigate if there is a correlation between the meteorological parameters (rainfall, barometric pressure, wind speed, and temperature) and the LFG concentration, Pearson’s correlation and p values (0.05 significant level) were calculated. To understand the causal effects of meteorological factors influencing the CH4 and CO2 emissions, a regression analysis was conducted using Excel.

3. Results and Discussion

3.1. Methane Generation from Thohoyandou Landfill

The handheld GA 2000 landfill gas analyzer was used to monitor CH4 and CO2 from an active landfill site for a period of 2 years, during which the monitoring continued for the different LFG monitoring probes. In 2020, CH4 concentration was above the threshold limit for most months except for July (0.95% v/v), September (0.54% v/v), and October (0.65% v/v). In addition, in 2021, CH4 concentration levels were above threshold limits except for in the months of March (0.26%), April (0.31%), and May (0.24%) (Figure 4). However, in the months of April and May 2020, monitoring was not conducted in the landfill due to the SARS-CoV-2 coronavirus pandemic and the national lockdown in South Africa. Monitoring commenced again in the late winter season (June, July, and August) of 2020; there was an increase in CH4 concentration with values of 1.46% v/v in the month of June. In July there was a decline in CH4 concentration, which was pegged at the threshold limits of 1% v/v; however, an increase in the CH4 concentration was recorded in the month of August 2020. In the winter of 2020, it was observed that the average CH4 concentration was lower than the average summer results. This result is consistent with the results of Monster et al. [34] and Aghdam et al. [28]. In a review of the literature, Monster et al. [34] showed that the lateral CH4 movement from old landfills was not detected at all during summer due to increased oxidation of the soil.
In addition, from early September to October of 2020 (the CH4 exhibited lower concentration), it was observed that there was a breakdown of the bulldozer for compressing and daily covering of waste. Therefore, there was no form of daily compression and covering of the waste during that period, which resulted in high penetration of oxygen and moisture content into the waste piles, thereby increasing the decomposition process in the landfill. The high presence of moisture encouraged bacterial growth and transported nutrients and bacteria to all areas of the landfill. This brought about the increase in pungent odor, vermin, dogs, high piles of waste, and high moisture content in the waste buried. In addition, the presence of oxygen in the waste piles could have brought about the reduction in CH4 generation. Similarly, Li et al. [35] suggested that the lack of appropriate daily covering of waste in landfills can lead to an increase in the spread of disease vectors affecting human health, potential fire hazards, offensive odors, litter blown around the landfill environment, aesthetic problems, vermin and insects, and lateral movement of LFG. Monster et al. [34] further suggested that when a very thin layer of cover materials is used during the daily covering, it may not be sufficient to enable the lateral migration of LFG but will increase the vertical movement of the gases into the environment. In addition, it is important that the choice of cover materials does not in itself create an environmental nuisance such as dust, litter, or odor. Notwithstanding, from this study, during the machine breakdown, a decline in CH4 concentration was observed, and CH4 concentration was recorded to be below the threshold limit. In November 2020, CH4 subsurface migration gained momentum following the repairs of the equipment and the improved daily cover of the waste piles. Because of the daily compression and covering of the waste piles, there was low intrusion of oxygen and moisture content in the waste piles; this reduced the degradation process and reduced the vertical movement of the gases. The daily cover of the waste piles enhanced the horizontal flow of the CH4. Keenan et al. [36] also suggested that due to sufficient and efficient daily covering of waste piles, there is low infiltration of moisture and oxygen content increasing the methanogenic activities in the landfill as this improves the lateral migration of the gases. As a result, the probes that were installed in the boundaries of the landfill experienced higher CH4 concentration readings at that time.
At the beginning of summer (December 2020, January and February 2021), there was a rapid spike in CH4 concentration greatly exceeding the threshold limit. However, there was a subsequent decline in CH4 concentration for the next three months (March, April, and May of 2021). Landfill activities and different meteorological conditions varied during this period (for example, introduction and siting of new cells, relocation of the leachate ponds, higher rainfall, and increase in temperature). Similarly, Park and Shin [13] showed that the LFG generation rate decreases from summer to winter in their study at Inchon city, Korea. According to Park and Shin [13], the decrease in surface efflux rate was very low because the surface pores were decreased by low temperatures and the compactness of solid ground during winter. Then during summer, the efflux rate of the LFG rapidly increased due to increased precipitation and high temperature. In India, Gollapalli and Kota [37] conducted a study on the CH4 emission from an Indian landfill for a period of one year and obtained results similar to those of Park and Shin [13]. This study observed that CH4 emissions were highest in summer and lowest in winter. This could be due to higher temperatures in summer (30.5 °C) than in winter (19.7 °C). The diurnal variation in emissions indicated that the emissions follow a trend similar to temperature for all seasons. Gollapalli and Kota [37] also observed that moisture content in the landfill is very critical for the production of LFG. If adequate moisture is not available, then gas formation will not proceed and, in some cases, may not even start at all. In a study conducted in China, three-year monitoring of CH4 and CO2 effluxes at a large and well-managed final covered landfill, it was observed that CH4 efflux in winter was higher than that in other seasons for most areas of the landfill [35]. Li et al. [35] attributed the results of the study to the gas permeability and the CH4 oxidation capacity of the cover layer.
The months of March, April, and May 2021 exhibited the lowest CH4 concentrations, below the threshold limits, following disturbances and increased activities in the landfill. Activities such as the construction of a new cell brought about deep excavations of the topsoil in the landfill. Therefore, this disturbed the flow of the CH4 gas both laterally and vertically. This brought about the high introduction of oxygen and precipitation into the waste pile. Oxygen in landfill has to be used up first for the methanogenic bacteria to start producing CH4. When the waste pile is not compacted properly when buried or frequently disturbed, more oxygen is introduced, so the oxygen-dependent bacteria live longer and produce CO2 and water for longer periods. When the waste piles are very compacted, CH4 generation will begin earlier as the aerobic bacteria are replaced by methane-producing anaerobic bacteria. CH4 gas begins to be generated by the anaerobic bacteria only when the oxygen in the landfill is used up by the aerobic bacteria; therefore, more oxygen present in the landfill will slow methane production [8]. In addition, the majority of the gases could escape from the excavated topsoil of the landfill into the ambient air. This brought about the low readings from the monitoring probes.
In the winter (June, July, August) of 2021, the results showed a steady rise in CH4 concentration from the month of June through August. The average results observed in the winter of 2021 were recorded to be almost the same as the results recorded during the previous summer season. There was no significant variation between the average results of the winter and summer seasons, as recorded in Figure 4. The rise in CH4 concentration from landfills during winter is due to the decrease in temperature. Additionally, the decrease in temperature reduces the rate of CH4 oxidation, which further contributes to the rise in CH4 concentration [28]. Following the months of September through December of 2021 there were observed to be varying CH4 concentrations above the threshold limit. This is a course of concern to landfill management, and measures must be put in place to reduce methane subsurface migration to avoid unexpected fire explosions at CH4 concentrations greater than 5% in the air [18].
In summary, for the first year, 2020, during the data collection, it was observed that the CH4 emission concentrations ranged from 0.54 to 2.215% v/v. The results further showed that the lowest concentrations of methane emissions were recorded for the months of September and October 2020, with values of 0.54 and 0.655% v/v, respectively. The month of December 2020 exhibited the highest amount of CH4 emissions with a value of 2.215% v/v. Furthermore, for the year 2021, the months of March (0.26% v/v), April (0.31% v/v), and May (0.24 v/v) showed the lowest amount of methane emission. The months of August (2.26% v/v) and November (2.33% v/v) recorded the highest methane emission concentrations. It was recorded that the months of March, June, August, November, and December, with average values ranging from 1.16% v/v to 2.22% v/v, all surpassed the permissible limit (Figure 4).

3.2. Carbon Dioxide Generation from Thohoyandou Landfill

After the installation of the monitoring probes, in March 2020, the CO2 concentration was approximately 6.37% v/v, which above the threshold limits for CO2 emissions (Figure 5). However, no measurements were conducted between April and May 2020 due to the national lockdown in response to the SARS-CoV-2. In the winter season, the month of June showed a considerable decline in the CO2 concentration. Consequently, there was an increase in trends of CO2 emissions from June to August 2020. The average CO2 concentration in winter was 14.82% v/v, and the average CO2 concentration in summer was 15.27% v/v; there was just a slight difference between the two seasons. Similarly, [35] Li et al. (2020), in a study conducted in a landfill in China, observed that the CO2 efflux increased in spring and peaked in the summer of that year, and then the CO2 concentration decreased to a minimum in late autumn or early winter. This was mainly a result of the seasonal change in landfill cover and soil gas permeability. Elmi et al. [38] showed that CO2 concentration was greater in winter than in summer. This was a result of higher evaporative losses in summer, which resulted in less waste moisture content; this brought about a limiting factor in the formation of anaerobic conditions. There continued to be rapid fluctuations in the CO2 concentration until the end of the monitoring activity, irrespective of the machinery breakdown that occurred in the month of September 2020. This breakdown affected the daily covering of the waste piles. However, October and November of 2020 showed a decrease in CO2 concentration. The breakdown of the waste led to the increase in oxygen in the landfill and thus an increase in the oxygen-dependent bacteria decomposing the waste and the byproducts of CO2 and water. This could have led to the observed increase in CO2 concentration in the month of September 2020. During the summer season, there was varying CO2 concentration. At the peak of summer, in the month of January 2021, the highest CO2 level was recorded when compared to other months. During the winter months of 2021, the month of June experienced the lowest CO2 concentration of 3.55% v/v for the duration of the monitoring exercise. During this period, there was increased activity in the landfill, including heavy excavations, relocation of the leachate pond, and the construction of the new cell.
The summary of the concentration data in Figure 5 shows that for all the monitoring months of this study, CO2 emission was above the threshold level of 1.5% v/v for the entire period of the monitoring process. This is a result of the decomposition of the high organic matter content in anaerobic conditions. When organic materials, such as food waste, are buried in landfills, they undergo microbial decomposition in the absence of oxygen, resulting in the production of CO2 as a byproduct. Furthermore, the transportation of waste to and from landfills, as well as the equipment used to manage and cover the waste, also contributes to the high CO2 concentration.
However, the CO2 generation varied from time to time during the monitoring process. The minimum and maximum CO2 concentrations obtained for the monitoring process (March 2020 to January 2022) were 3.55% v/v (June 2021) and 6.56% v/v (September 2021), respectively. These variations were because of landfill disturbances, weather conditions, machine breakdown, and other underlying factors. Beirne et al. [9] showed that a partial blockage of an underground gas extraction pipeline restricted the volume of gas extraction and caused an increase in gas migration toward the sampling point. This blockage disturbed the subsurface flow of the gas component; meanwhile, once the blockage was removed, the CO2 gas component fell below the threshold limit again.

3.3. Monitoring of CH4 and CO2 Concentrations from the Different Probes of the Thohoyandou Landfill

Table 1 shows the average concentrations of CH4 and CO2 emissions for the different monitoring probes. Over the monitoring period, it can be observed that the results obtained from the GA 2000 landfill gas analyzer for CH4 concentration ranged from 0.26% v/v to 2.56% v/v.
Zhang et al. [39] suggest that the lateral movement of the CH4 concentration tends to diffuse as it travels below the earth’s surface; also, some of the gases tend to escape from the surface of the soil if not covered properly, as is the case of Thohoyandou landfill. This can be applicable to the monitoring probes A and B, which were observed to have the lowest CH4 concentrations with values of 0.56% v/v and 0.30% v/v, respectively. Probes A and B were installed close to the entrance gate of the landfill and furthest away from the disposal site. Monitoring probes C and D were located very close to a hotel and had concentrations of 0.48% v/v and 0.29% v/v, respectively. These concentrations were below the threshold limit of 1% v/v; however, it is pertinent to conduct constant monitoring of the hotel buildings because the concentration of CH4 found in that area fluctuates and could be influenced by several meteorological factors (such as rainfall and high temperature or pressure) and physical activities conducted in the landfill. LFG can migrate from a landfill through the soil into outdoor air as well as the indoor air of nearby buildings. LFG in outdoor air can enter a building through doors, windows, and ventilation systems [40]. Scheutz and Kjeldsen [20] emphasized that one of the main reasons for monitoring LFG emissions is because of their health implications and the risk of off-site gas migration to buildings and structures. Monitoring probes E, F, and L were vandalized; therefore, we were not able to collect data from them.
Monitoring probes G and H were installed in one of the first cells constructed in the landfill; this cell had been covered for several years. As shown in Table 1, the average CH4 concentrations for probes G and H were 1.58% v/v and 0.69% v/v. The average concentration sampled from probe G exceeded the threshold limits; however, the levels from probe H were somewhat closer to the threshold limit for CH4 concentration. This shows that the decomposition process of buried waste is still ongoing even after many years. Thereby, the LFG continues to be generated; thus, constant monitoring in landfills needs to be carried out even after the closure of the landfills [41]. The highest levels of CH4 were recorded in probes I (2.3% v/v), J (2.33% v/v), and M (2.56% v/v). These monitoring probes were situated closer to the current dumping site in the landfill. However, monitoring probe M was situated closer to an already closed cell in the landfill. Probes G, I, J, K, and M all exceeded the maximum limits for CH4 emissions. This is approximately 33% of the total monitoring probes installed in the landfill.
The CO2 concentration emission from the landfill ranged from 3.40 to 6.74% v/v. The monitoring probe H had the lowest emissions, with a value of 3.59% v/v ± 1.78. However, it was observed the probes I (6.47% v/v), J (6.65% v/v), K (6.44% v/v), O (6.68% v/v), and R (6.74% v/v) recorded the highest concentrations from the landfill. Furthermore, it was observed that all the monitoring probes exceeded the emission threshold limits for carbon dioxide. Beirne et al. [9], in a study on an autonomous greenhouse gas measurement system for analysis of gas migration on an Irish landfill site, showed that CH4 gas remained below the threshold limit of 1.0% v/v throughout the experiment period. Similar to this current study, the recorded CO2 concentration level varied over the duration of the data presented and also exceeded the threshold limit (1.5% v/v). Furthermore, Pehme et al. [18] conducted a study on the spatial distribution of LFG degradation in biocover using the GA 2000 landfill gas analyzer. It was observed that the highest value of CO2 recorded was 1.0% v/v. The study concluded that CO2 migration to the atmosphere was low and the gases fluctuated according to the seasons.

3.4. Average CH4 and CO2 Comparison

There was a weak correlation between CH4 and CO2 concentrations (R = 0.18) (p < 0.001). Higher levels of CO2 were recorded during the course of the study (Figure 6). This could be because CO2 is generated not only from the biodegradation process but also from the oxidation of CH4 and from soil respiration. CH4, once generated, can move through the cover soil and become oxidized into CO2, leading to increased CO2 emissions. Heavy excavations and diggings in the landfill can disturb the LFG generation and the flow of the gases. This activity will introduce oxygen into the landfill, thereby disturbing the anaerobic process and increasing the aerobic process in the landfill with CO2 and water being the byproducts. Since the CH4 generation (anaerobic process) is disturbed by the introduction of oxygen, there will be less CH4 generation and subsequently lower emissions. This could be what leads to the higher concentration of CO2 emission from the landfill. Similarly, Popiţa et al. [42] show that CO2 emissions were observed to be higher than CH4 emissions. Pinheiro et al. [43] explained that the oxidation of CH4 within the landfill, the poor LFG collection system, and the pressure are the reasons the CO2 concentration was higher than the CH4 concentration. Similar results were found by Li et al. [35]. Alternatively, Pehme et al. [18] observed that at the highest LFG gaseous emissions, CH4 emission was higher than CO2 emission from a landfill. However, the trend in the concentration of CH4 over time was an overall decrease.
Table 2 shows that during the winter season of 2020, CH4 and CO2 concentrations were correlated with a value of −0.73, which was statistically significant at p < 0.001. As shown in Figure 6, the CO2 concentration showed a constant rise whereas the CH4 concentration showed a constant decline over the period. This implies that as the CH4 concentration increases, the CO2 concentration reduces. During the winter period, with lower temperatures and lower rainfall, we would expect the soil respiration and a higher rate of CH4 oxidation, especially in areas where there is a hotspot area (high LFG concentration detected). A similar result was observed by Xu et al. [44]: CH4 and CO2 emissions had a high linear correlation during the winter season. A different correlation was observed in the winter of 2021; Table 2 shows that CH4 and CO2 were correlated with a value of 0.64. As the CH4 emission increased, the CO2 emission also increased. CO2 respiration and CH4 oxidation are highly dependent on temperature, and other anthropogenic activities in the landfill can influence CH4 and CO2 emissions. According to Czepiel et al.’s [27] study, the oxidation rate in cover soil was 30% CH4 generated inside the landfill in summer; however, in winter 0% CH4 emission was reported. The diurnal variation in photosynthetic CO2 uptake by leaves from vegetation grown on the cover soil or around the landfill might affect the LFG emissions, especially in the summer season, since leaf CO2 uptake is driven by photosynthetically active radiation. This could also change the ratio of CH4 and CO2 emission rates.
Table 3 shows that in the summer of 2020, Pearson’s correlation between the CH4 and CO2 emissions was −0.07 (a weak correlation) and was statistically significant (p < 0.001). However, for the summer of 2021, Table 3 shows a Pearson’s correlation between CH4 and CO2 at 0.6, which was statistically significant at p < 0.04. There was a strong relationship between the CH4 and CO2 concentrations. This could be because of higher soil CO2 respiration and higher oxidation rate of CH4 from the top cover soil. As a result, the CO2 emission rate was probably higher than the CO2 production rate associated with CH4 production, while the CH4 emission rate was lower than the production rate.

3.5. Influence of Meteorological Conditions on the CH4 and CO2 Levels

LFG generation is dependent on several meteorological factors such as temperature, wind speed, rainfall, barometric pressure, and humidity of the environment. This study looks into the impacts of ambient temperature, rainfall, barometric pressure, and wind speed on the CH4 and CO2 emissions from the Thohoyandou landfill. Firstly, Pearson’s correlation was determined to understand the relationship between the meteorological data and the LFG emissions. Furthermore, a regression analysis was conducted to determine to what extent the meteorological conditions influence the LFG emissions (Table 3, Table 4 and Table 5).
Table 3 shows Pearson’s correlation coefficients and the p-values between the selected meteorological parameters (ambient temperature, rainfall, barometric pressure, and wind speed) and the CH4 and CO2 concentrations.
Table 4 and Table 5 show the regression analysis of the meteorological data and the LFG concentrations. The study hypothesizes that there is a significant influence of the meteorological data on the LFG concentration. H1 hypothesizes that there is a significant influence of barometric pressure on the LFG concentrations (CH4 and CO2) recorded. H2 hypothesizes that there is a significant influence of ambient temperature on the LFG concentrations (CH4 and CO2). H3 hypothesizes that there is a significant influence of rainfall on the LFG concentrations (CH4 and CO2). H4 hypothesizes that there is a significant influence of wind speed on the LFG concentrations (CH4 and CO2).

3.5.1. Barometric Pressure

The barometric pressure showed a weak correlation with CH4 and CO2 emission concentrations with values of −0.10 and −0.25, respectively, during the duration of the study (Table 3). This means there is a slightly inverse relationship between the changes in CH4 and CO2 concentrations and barometric pressure. However, correlations of barometric pressure and the LFG concentration were observed to be statistically significant at p < 0.001. The p-value shows that there is a relationship between the changes in LFG concentrations and the barometric pressure.
Rachor et al. [45] showed a similar result: two CH4 emission hotspots (1 and 20) showed an inverse relationship with pressure in a Pearson’s correlation analysis (R = −0.64). The hotspot was distinguished by its unique location near the top of the landfill, where the cover is incredibly thin and exposure to the effects of wind, atmospheric pressure, and temperature is greatest. Similarly, Delgado et al. [46] showed that a strong inverse correlation emphasizes how pressure enhances air access into the landfill surface layers; this prevents CH4 from escaping into the atmosphere. The authors further stated that the pressure changes had little effect on the CH4 emissions fluxes, most likely because of the high degree of soil cover compaction in the landfill surface.
Figure 7 illustrates the relationship between the barometric pressure andCH4 concentration; it was evident that the barometric pressure at its peak or lowest points resulted in decreasing CH4 concentrations. For example, in September 2020, the CH4 concentration recorded an all-time low of 0.54% v/v, and there was also a decreasing barometric pressure. The barometric pressure continued to decrease throughout the year; however, December 2020 showed the highest CH4 concentration reading at 2.22% v/v. Furthermore, in 2021, the lowest CH4 concentration was identified in the month of May at a value of 0.24% v/v, and the barometric pressure was observed to be at one of its highest values during that same period at a value of 95.19 kPa. The month of July 2021 recorded the highest barometric pressure of 95.68 kPa, and also the highest CH4 concentration was observed the next month in August 2021 (2.26% v/v). These results do show some areas of an inverse relationship between the barometric pressure and CH4 concentrations for the duration of the study.
The dependent variable (CH4 concentration) was regressed on predicting variables (barometric pressure) to test the hypothesis H1 (Table 4). Table 4 shows that barometric pressure does not significantly predict landfill gas emissions (p = 0.17). However, there is a 9.8% chance that the changes in barometric pressure influence the CH4 concentrations at R2 = 0.098. That is, the changes in the increase in barometric pressure have a 9.8% chance of influencing the CH4 concentration emitted from the landfill. Higher barometric pressure infuses more air into the landfill, which affects the stability of the LFG generation and overall concentration. When air is introduced into the landfill, the presence of oxygen is increased, thereby increasing the aerobic bacteria activities in the landfill, producing more CO2 and less CH4 generation. During the study, there were different landfill activities that disturbed the daily operations of the landfill and eventually disturbed the LFG generation and emission in the landfill. Some disturbances in the landfill included the creation of a new cell, machine breakdowns, leachate pond relocation, closure of an old cell, construction of a fence around the landfill, and change in landfill management. Xu et al. [44] showed that landfill CH4 emissions strongly depended on variations in barometric pressure; increasing barometric pressure suppressed the CH4 emission, while decreasing barometric pressure improved the CH4 emission, a phenomenon called barometric pumping. Similar results were also observed by Aghdam et al. [28] where a significant inverse relationship between CH4 emissions and atmospheric pressure was observed with a linear regression (R2 = 0.95).
Pearson’s correlation (−0.25) shows a weak correlation between the barometric pressure and CO2 concentrations. There is a significant difference between barometric pressure and CO2 concentration (p < 0.001). This means that there is a relationship between barometric pressure and CO2 emissions. In June 2020, the lowest concentration of CO2 was recorded, at 4.66% v/v; however, there was sharp increase in barometric pressure at that time. All through the year 2020, there was a constant decline in barometric pressure, but the CO2 concentration continued to range throughout the year. At the beginning of the year 2021, there was a constant increase in barometric pressure, as the increase continued, the records show a constant decline in CO2 concentration reading (Figure 8).
The dependent variable (CO2 concentration) was regressed on predicting variables (barometric pressure) to test the hypothesis H1 (Table 5). The barometric pressure does not significantly predict the CO2 emission concentrations (p = 0.82). However, there is a 15% chance that the changes in barometric pressure influence the CO2 concentrations (R2 = 0.15) during the duration of the study. That is, the variations in the increase in barometric pressure have a 15% chance of influencing the CO2 concentration emitted from the landfill.

3.5.2. Ambient Temperature

A weak correlation coefficient (R = 0.31) was observed between the ambient temperature and CH4 emission and was statistically significant at p < 0.001 (Table 3). This means that there is a significant relationship between the ambient temperature and the CH4 emissions from the landfill (p < 0.001). High temperature leads to higher microbial activities in the landfill which in turn increase the CH4 generation rates or CH4 oxidation rates [28]. Aghdam [28] observed that CH4 emissions were correlated with soil temperature. In 2021, the CH4 concentration was at its lowest in May (0.24% v/v), and one of the lowest temperatures of the year (at 17 °C) was also recorded. The low temperature at that time influenced the CH4 concentration in the landfill; low temperature reduces the activities of the bacteria in the landfill, thereby reducing CH4 generation and emission [26]. In addition, it was observed that in November of 2021, the highest levels of CH4 concentration (value at 2.33% v/v) and highest temperature levels (25.6 °C) were recorded (Figure 9).
CH4 concentration was regressed on predicting variables (ambient temperature) to test the hypothesis H2 (Table 4). The results show that ambient temperature does not significantly predict the CH4 emissions at p = 0.46. However, there is a 2.9% chance that the changes in ambient temperature influence the CH4 emissions (R2 = 0.029). The variations in ambient temperature have a 2.9% chance of influencing the CH4 concentration emitted from the landfill. Temperature changes have a far greater effect on LFG production in shallow landfills than in very deep landfills. This is because the bacteria are not as covered with cover materials as compared with very deep landfills where thick layers of soil cover the waste. Typically, warm temperatures increase bacterial activity, which in turn increases the rate of LFG generation. Meanwhile, colder temperatures inhibit bacterial activity [47,48]. The Thohoyandou landfill is a deep landfill, with some parts of the landfill covered with a thick layer of soil cover and some parts still receiving waste. These variations in the landfill cover material can lead to variations in temperature in the landfill. This can affect the overall LFG generation and emission from the landfill.
Table 3 shows a weak correlation between temperature and CO2 concentration (R = 0.39). There is a relationship between temperature and CO2 concentration (p < 0.001). The lowest CO2 concentration was recorded in the month of June 2020 (4.66% v/v), and the lowest temperature reading was observed in the same month of June 2020 (16.1 °C) (Figure 10). In 2022, the lowest concentration of CO2 was recorded in the month of June (3.55% v/v). Similarly, the lowest temperature was recorded in the month of June (value at 16.4 °C).
The dependent variable (CO2 concentration) was regressed on predicting variables (ambient temperature) to test the hypothesis H2 (Table 5). The results show that there is no significant difference between the ambient temperature and CO2 emissions at p = 0.66. However, there is a 1% chance that the changes in ambient temperature influence the CO2 concentrations at R2 = 0.01. The changes in temperature has a 2.9% chance of influencing the CO2 concentration emitted from the landfill.
In a comparison between the results shown in Figure 9 and Figure 10, it was observed that CH4 concentration seems to have more variation across the period compared to CO2. For example, CH4 varied between ~0.2 and 2.2% or 11 times and CO2 varies between ~15 and 28% or less than 2 times. This could be a result of CH4 oxidation in the cover material of the landfill. CH4 oxidation is the conversion of CH4 to CO2 as the CH4 gases move toward the cover material of the landfill. Some other factors that could influence the variations could be bacteria, temperature, wind speed, and rainfall. Additionally, the presence of other organic compounds in the landfill, such as volatile organic compounds (VOCs), can also contribute to the high variance in CH4 over CO2 [49]. VOCs can be broken down by bacteria in the landfill, releasing CH4 and other gases as byproducts and reducing CO2 concentrations.

3.5.3. Rainfall

Rainfall showed a weak correlation with CH4 concentrations with a value of −0.17 for the duration of the study (Table 3). In addition, the relationship is statistically significant (p < 0.01). This means that there is a relationship between rainfall and CH4 concentration. Rainfall increases the soil moisture content and decreases oxygen levels, which regulates nitrification and denitrification and also limits bacteria activities in the soil. Bian et al. [25] observed that the degree of decrease in CH4 emissions was closely correlated with the rainfall intensity. This is because a more significant increase in water content under heavier rainfall leads to a great reduction in LFG movement due to reduced microbial CH4 oxidation activity.
Figure 11 illustrates the relationship between rainfall and the CH4 concentration. It shows that the lowest CH4 concentration (0.54% v/v) occurred in the year 2020; low rainfall was recorded at that time (value at 1.2 mm), in September 2020. The highest CH4 concentration was recorded in the month of December 2020 (value at 2.2% v/v), and there was an increasing amount of rainfall. This affirms that the increasing rainfall increased the moisture content in the topsoil and waste pile, thereby increasing bacteria activities and CH4 generation and emission. Due to the low rainfall intensity, the moisture content of the top cover soil was low and permeability was not obstructed; therefore, the top cover soil did not impede CH4 emissions. For 2021, Figure 11 shows that CH4 in its lowest concentration was observed in the month of May (0.24% v/v) and there was no rainfall recorded in that month. The low rainfall affected the moisture content in the landfill, reducing bacteria activities and thereby reducing CH4 generation and emission. In addition, it was observed that in November of 2021, the CH4 concentration exhibited the highest readings of CH4 emissions from the landfill.
The dependent variable (CH4 concentration) was regressed on predicting variables (rainfall) to test the hypothesis H3 (Table 4). The rainfall does not significantly predict the CH4 emissions at p = 0.082. However, there is a 1.5% chance that the changes in rainfall influence the CH4 concentrations at R2 = 0.015 during the duration of the study. According to Yang et al. (2016) [50], heavy rainfall can cause the top cover soil of the landfill to be waterlogged, thereby decreasing the permeability of the top cover soil. Since LFG moves better in areas of high soil permeability, the decreased pores in the landfill cover restrict LFG emissions at that period of time. Notwithstanding, a certain amount of moisture content in the landfill can increase bacteria activities and transports nutrients, thereby increasing LFG concentration in an anaerobic condition. A moisture content of 40% or higher, based on the wet weight of waste, encourages maximum LFG generation, especially in a closed landfill. A waterlogged top cover soil will inhibit LFG emission [51].
The dependent variable (CO2 concentration) was regressed on predicting variables (rainfall) to test the hypothesis H3 (Table 5). The results show that there is no significant difference between the rainfall and CO2 concentrations emitted at p = 0.18. However, there is a 9.1% chance that the changes in rainfall influence the CO2 concentrations at R2 = 0.091 during the duration of the study. Figure 12 gives the average CO2 concentration observed during each month (March 2020–January 2022) with rainfall.

3.5.4. Wind Speed

Table 3 shows a weak correlation between the wind speed and the CH4 concentration for the duration of the study (value of 0.39), and the correlation is statistically significant (p < 0.001). Similar results were observed by Kissas et al. [52], who showed a weak correlation between CH4 fluxes and wind speed (r = 0.21, p < 0.001). Figure 13 shows that the lowest CH4 concentration was recorded in September 2020 at 0.54% v/v, and a high wind speed was recorded in the same month (value at 2.72 m/s). In addition, the month of October recorded the highest wind speed at a value of 2.84 m/s, but there was a slight increase in CH4 concentration (value at 0.66% v/v). Furthermore, the lowest concentration of CH4 in 2021 was observed in the month of May at 0.24% v/v and with an average wind speed of 1.81 m/s. In addition, the highest concentration of CH4 in 2021 was observed in the month of November at 2.33% v/v and an average wind speed of 2.76 m/s. These observations did not have any correlation. Several studies have identified that wind induces advection as one of the dominant CH4 emission mechanisms in windy conditions at landfills [28,53]. Wind blowing across a landfill can cause a pressure difference, which is the driving force for advective gas transportation. This means that a strong wind speed can create a pressure difference between the landfill body and the landfill surface, which in turn can affect LFG generation and emissions from landfills.
CH4 concentrations were regressed on predicting variables (wind speed) to test the hypothesis H4 (Table 4). Wind speed does not significantly predict the CH4 at p = 0.66. However, there is a 1.1% chance that the changes in wind speed influence the CH4 concentrations at R2 = 0.011 during the duration of the study.
The predominant perception is that the effect of wind speed on LFG emissions is indirect, as it creates the pressure-pumping effect that facilitates advective gas transportation. Moreover, Kissas et al. [52] suggested through model simulations how increased wind speed brings about changes in the pressure gradient between the soil and the atmosphere, resulting in increased surface CH4 emissions.
Table 3 shows a weak correlation between wind speed and CO2 concentration with a value of 0.10, which was very statistically significant (p < 0.001). Figure 14 shows the results observed in the correlation between wind speed and CO2 concentrations. The lowest CO2 concentration was recorded in the month of June 2020 (value at 4.66% v/v); also, in the month of June 2020, the wind speed was recorded at one of its lowest values (1.91 m/s).
CO2 concentration was regressed on predicting variables (wind speed) to test the hypothesis H4 (Table 5). The results show that there is no significant difference between wind speed and CO2 concentrations emitted p = 0.029. However, there is a 5.9% chance that the changes in rainfall influence the CO2 concentrations at R2 = 0.059 during the duration of the study.

4. Conclusions

Landfill gas monitoring probes were deployed on a landfill site, and LFG monitoring for a duration of two years (November 2019–January 2022) was successfully conducted. This study validates that LFG migrates along the subsurface of the landfill through the pores and cracks of the soil. The study concludes that CH4 concentrations were observed to be lowest in areas far away from the landfill activities such as the entrance of the landfill. Higher concentrations of CH4 were observed in areas where the landfill cells have been closed for a long time. However, the highest concentrations of CH4 were recorded in areas closer to the current dumping of waste. These high CH4 concentrations were above the South African CH4 emission limits from landfills. CO2 concentrations for the duration of the study surpassed the South African CO2 emission limits from landfills.
Furthermore, the study concludes that the CH4 and CO2 generation and emission are complex processes influenced by landfill activities and meteorological conditions around the landfill. All meteorological conditions that were selected for this study, namely barometric pressure, temperature, rainfall, and wind speed, were either negatively or positively correlated with the LFG concentration and were all statistically significant.
The study relates to sustainability and demonstrates the importance of monitoring LFG emissions in order to ensure that they are within the South African emission limits. This is important for maintaining a sustainable environment, as LFG emissions can have a negative impact on air quality and climate change. By monitoring these emissions, we ensure that they are kept within acceptable limits, and we can help to protect the environment and promote sustainability.
Furthermore, this information can be used to inform policymakers and regulators about the need to set appropriate limits for landfill gas emissions and to ensure that landfill sites are operating within those limits.

Author Contributions

Resources, S.P.; Writing—original draft, P.O.N.; Supervision, R.M. and J.N.E. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Eskom Power Plant Engineering Institute (EPPEI) (grant number [E349]).

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank Joe Malahlela from the University of Northwest for his relentless effort in making sure the monitoring probes were constructed and installed in the landfill.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Study area map.
Figure 1. Study area map.
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Figure 2. A schematic diagram of an installed LFG monitoring probe.
Figure 2. A schematic diagram of an installed LFG monitoring probe.
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Figure 3. Aerial view of the landfill site showing the different points the LFG monitoring probes were installed at the boundary of the landfill. Note: Point A–R shows the points where the monitoring probes were installed in the landfill.
Figure 3. Aerial view of the landfill site showing the different points the LFG monitoring probes were installed at the boundary of the landfill. Note: Point A–R shows the points where the monitoring probes were installed in the landfill.
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Figure 4. Average methane concentration observed during each month (March 2020–January 2022).
Figure 4. Average methane concentration observed during each month (March 2020–January 2022).
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Figure 5. Average CO2 concentration observed during each month (March 2020–January 2022).
Figure 5. Average CO2 concentration observed during each month (March 2020–January 2022).
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Figure 6. Average CO2 and CH4 concentrations observed during each month (March 2020–January 2022).
Figure 6. Average CO2 and CH4 concentrations observed during each month (March 2020–January 2022).
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Figure 7. Average CH4 concentration observed during each month (March 2020–January 2022) with barometric pressure.
Figure 7. Average CH4 concentration observed during each month (March 2020–January 2022) with barometric pressure.
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Figure 8. Average CO2 concentration observed during each month (March 2020–January 2022) with barometric pressure.
Figure 8. Average CO2 concentration observed during each month (March 2020–January 2022) with barometric pressure.
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Figure 9. Average CH4 concentration observed during each month (March 2020–January 2022) with ambient temperature.
Figure 9. Average CH4 concentration observed during each month (March 2020–January 2022) with ambient temperature.
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Figure 10. Average CO2 concentration observed during each month (March 2020–January 2022) with ambient temperature.
Figure 10. Average CO2 concentration observed during each month (March 2020–January 2022) with ambient temperature.
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Figure 11. Average CH4 concentration observed during each month (March 2020–January 2022) with rainfall.
Figure 11. Average CH4 concentration observed during each month (March 2020–January 2022) with rainfall.
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Figure 12. Average CO2 concentration observed during each month (March 2020–January 2022) with rainfall.
Figure 12. Average CO2 concentration observed during each month (March 2020–January 2022) with rainfall.
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Figure 13. Average CH4 concentration observed during each month (March 2020–January 2022) with wind speed.
Figure 13. Average CH4 concentration observed during each month (March 2020–January 2022) with wind speed.
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Figure 14. Average CO2 concentration observed during each month (March 2020–January 2022) with wind speed.
Figure 14. Average CO2 concentration observed during each month (March 2020–January 2022) with wind speed.
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Table 1. Average CH4 and CO2 concentrations from the monitoring of the different probes in the landfill.
Table 1. Average CH4 and CO2 concentrations from the monitoring of the different probes in the landfill.
ProbesAverage CH4Average CO2Standard Deviation for CH4Standard Deviation for CO2
A0.565.140.311.3
B0.304.580.171.31
C0.483.711.631.79
D0.264.560.210.5
G1.583.861.051.14
H0.693.592.281.78
I2.306.470.20.81
J2.336.650.31.1
K1.606.440.852.35
M2.565.961.771.37
N0.555.920.171.19
O0.556.680.451.44
P0.406.210.231.38
Q0.606.080.382.27
R0.506.740.252.47
Table 2. Pearson’s correlation coefficients and p-values between the CH4 and CO2 emissions during the different seasons.
Table 2. Pearson’s correlation coefficients and p-values between the CH4 and CO2 emissions during the different seasons.
Pearson Correlationp-Value
Winter 2020−0.73p < 0.001
Summer 2020−0.07p < 0.001
Winter 20210.64p < 0.001
Summer 20210.60p < 0.04
Table 3. Pearson’s correlation coefficients and p-values between the selected meteorological parameters and LFG data during the periods studied in 2020 and 2022.
Table 3. Pearson’s correlation coefficients and p-values between the selected meteorological parameters and LFG data during the periods studied in 2020 and 2022.
MeteorologyCH4CO2
Pearson Correlationp-ValuePearson Correlationp-Value
Temperature0.31p < 0.0010.39p < 0.001
Rainfall−0.17p < 0.010.10p < 0.001
Wind speed0.39p < 0.0010.10p < 0.001
Barometric pressure−0.10p < 0.001−0.25p < 0.001
CO20.18p < 0.001
Table 4. Regression analysis of CH4 and meteorological data.
Table 4. Regression analysis of CH4 and meteorological data.
HypothesisR Squared Adjusted R SquaredMean SquareFp-Value
H10.0980.0510.392.0670.17
H20.029−0.0230.100.5590.46
H30.150.111.1223.360.082
H40.011−0.0420.0790.2030.66
Table 5. Regression analysis of CO2 and meteorological data.
Table 5. Regression analysis of CO2 and meteorological data.
HypothesisR SquaredAdjusted R SquaredMean SquareFp-Value
H10.150.111.523.370.82
H20.01−0.0420.100.200.66
H30.0910.0430.921.900.18
H40.0590.0090.591.180.29
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Njoku, P.O.; Piketh, S.; Makungo, R.; Edokpayi, J.N. Monitoring of Subsurface Emissions and the Influence of Meteorological Factors on Landfill Gas Emissions: A Case Study of a South African Landfill. Sustainability 2023, 15, 5989. https://doi.org/10.3390/su15075989

AMA Style

Njoku PO, Piketh S, Makungo R, Edokpayi JN. Monitoring of Subsurface Emissions and the Influence of Meteorological Factors on Landfill Gas Emissions: A Case Study of a South African Landfill. Sustainability. 2023; 15(7):5989. https://doi.org/10.3390/su15075989

Chicago/Turabian Style

Njoku, Prince Obinna, Stuart Piketh, Rachel Makungo, and Joshua Nosa Edokpayi. 2023. "Monitoring of Subsurface Emissions and the Influence of Meteorological Factors on Landfill Gas Emissions: A Case Study of a South African Landfill" Sustainability 15, no. 7: 5989. https://doi.org/10.3390/su15075989

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