Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2387-2024
https://doi.org/10.5194/acp-24-2387-2024
Measurement report
 | 
26 Feb 2024
Measurement report |  | 26 Feb 2024

Measurement report: Observations of ground-level ozone concentration gradients perpendicular to the Lake Ontario shoreline

Yao Yan Huang and D. James Donaldson
Abstract

Ground-level ozone (O3) is a secondary air pollutant that has harmful effects on human and ecosystem health. Close to larger bodies of water, the well-known sea-breeze (or lake-breeze) phenomenon plays a role in regulating ground-level ozone levels. An observed lake-edge removal effect, where ozone concentration decreases within the first 500 m to 1 km perpendicular to the lake, is thought to be related to the lake-breeze circulation as well as several dilution and removal pathways. A field campaign was conducted in summer 2022 and winter 2023 in two locations on the north shore of Lake Ontario: the urban centre of Toronto and suburban Oshawa, some 50 km east, to assess how the local environment and season affect the lake-edge removal effect. Ozone, wind speed, and wind direction were measured on 6–7 different days in each season and city along transects perpendicular to Lake Ontario's shoreline. A consistent negative linear relationship between ozone concentration and distance from shore over the first 500 m (i.e. a lake-edge removal effect) was observed in both cities and both seasons. The ozone gradient changed in Oshawa from 23.5 ± 8.5 (1 standard deviation) ppb km−1 in summer to 8.1 ±  5.1 ppb km−1 in winter. The slope remained consistent in Toronto at 15.4 ± 6.7 ppb km−1 in summer and 16.7 ± 7.3 ppb km−1 in winter. The year-round observation of an ozone gradient and lake-edge removal effect suggests that there is an inherent “baseline” ozone concentration gradient at the lake edge, caused by the dilution effect of the rapid increase of the boundary layer there. This gradient is seen to be enhanced in the summer and dependent on local effects such as lake-breeze circulation and increased deposition to vegetation.

1 Introduction

Ground-level ozone (O3) is a secondary air pollutant which, at higher concentrations, has harmful effects on human health (Nuvolone et al., 2018) and ecosystems (Grulke and Heath, 2020). This has motivated considerable efforts at understanding its production, chemistry, and removal from the lower atmosphere. Sea- and lake-breeze circulations are a well-established meteorological phenomenon that plays a role in regulating ozone levels in nearshore environments. Sea and lake breezes are driven by heat flux differences between land and water, due to the difference in their respective heat capacities. A pressure difference is generated between the warmer air over land and cooler air over water in the daytime, with airflow near the shore moving landward to replace the lofting, warmer air over land. The opposite effect occurs at nighttime, as the water holds heat better after the sun is no longer directly heating the surface (Sills et al., 2011). An offshore “land breeze” moves ozone precursors emitted during the night and early morning from the land to the lake where they are trapped in a shallow layer of cool and stable air over the water. The increase in fresh emissions and the lower deposition rates over water than land builds up the over-water ozone and ozone precursor concentration during the night and early morning (Levy et al., 2010). During the day, the wind direction switches, and an onshore “lake breeze” transports the newly produced O3 and O3 precursors inland in the afternoon and early evenings (Dye et al., 1995). This process is illustrated in Fig. 1. Clear calm skies are favourable for lake-breeze circulation formation and most develop in the summer from May to September in the Northern Hemisphere when the temperature differences are most pronounced (Wentworth et al., 2015).

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f01

Figure 1Simplified model of the connection between lake breeze circulation and ozone. Ozone precursors are trapped within the stable inversion layer over the water and react in the day to produce O3 that is moved inland by lake breeze. Arrows depict motion of air masses. The thermal internal boundary layer (TIBL) is shown in orange and grows in height with distance inland until it reaches the height of the convective mixed layer. Adapted from Wentworth et al. (2015) and Stroud et al. (2020).

Studies of the effect of sea-breeze and lake-breeze circulation on ozone pollution have been conducted since the 1970s (Blumenthal et al., 1978; Chung, 1977; Doak et al., 2021; Dye et al., 1995; Lennartson and Schwartz, 2002; Lyons and Cole, 1976; Makar et al., 2010; Stauffer and Thompson, 2015). Measurements have been made by ferry (Cleary et al., 2015), aircraft campaigns (Levy et al., 2010), and with ground data (Lyons and Cole, 1976) to model and understand the local-scale flow pattern. Elevated levels of ozone pollution over water and coastal areas have been studied globally in areas such as Chesapeake Bay, United States (Stauffer and Thompson, 2015), Naples, Italy (Finardi et al., 2018), and Hangzhou, China (Han et al., 2023). The relationship between ozone pollution and lake-breeze circulation has been studied in the North American Great Lakes region such as Lake Michigan (Cleary et al., 2022b, a, 2015; Lennartson and Schwartz, 2002), Lake Erie (Levy et al., 2010), and Lake Ontario (Wentworth et al., 2015) and globally, such as in Lake Taihu in China (Zhang et al., 2017). The concentration differences between lake and land are most pronounced below 200 m altitude (Levy et al., 2010; Tirado et al., 2023). In the afternoon, the highest ozone concentrations over land are seen at higher altitudes above the boundary layer (Tirado et al., 2023).

The advection of ozone-rich air inland by sea breezes and lake breezes can lead to high O3 at nearshore land regions. Lake breezes have been reported to penetrate over 100 km inland in the Great Lakes region (Sills et al., 2011) with ozone enhancement effects observed typically up to 30–50 km inland (Lennartson and Schwartz, 2002; Lyons and Cole, 1976). Correlations with lake breeze have been observed for daily O3 maxima (Wentworth et al., 2015), the occurrence of secondary daily ozone peaks (Lyons and Cole, 1976), and ozone exceedances in nearshore sites in time and space following the movement of the lake breeze front (Lennartson and Schwartz, 2002). Average daytime O3 concentrations in the Greater Toronto Area were 42 %–49 % higher when lake breezes were present, with mixing ratios at least 30 ppb higher in sites within the circulation than outside, despite similar meteorological conditions and regional synoptical regimes (Wentworth et al., 2015).

Surface gradients of ozone perpendicular to the shoreline over the adjacent land have also been correlated with lake breeze circulation. Ozone is typically highest near the water and decreases inland (Blanchard and Aherne, 2019; Cleary et al., 2022a; Lennartson and Schwartz, 2002). The Lake Michigan Ozone Study 2017 investigated coastal ozone gradients and measured ozone amounts of 81.4 and 87.4 ppb at the beginning and end of the transect near the shore and 57.4 ± 1.6 ppb (error bars represent 1 standard deviation) at distances more than 4.1 km (Stanier et al., 2021). A recent study measured surface ozone gradients of 18 and 15 ppb km−1 respectively on the south and north shores of Long Island, New York, United States in around 2 km distance (Zhang et al., 2020). The steepness of the ozone gradient is also correlated with the strength of the lake breeze, as nearshore lake breeze events are reported to give rise to a steeper ozone gradient than inland lake breezes that penetrate further (Cleary et al., 2022a).

A recent field campaign in Sandbanks Provincial Park, located on the north shore of Lake Ontario about 220 km east–northeast of Toronto, during summer 2018 found that surface ozone concentration decreases sharply within the first 500 m to 1 km perpendicular to the lake, in addition to a shallower gradient extending beyond 1 km from the lakeshore (Blanchard and Aherne, 2019). Sites < 500 m from shore had an ozone gradient of 37.6 ppb km−1, (R2= 0.72), while sites > 500 m from shore had a gradient of 4 ppb km−1 with distance from shore with a weaker correlation (R2= 0.17). The authors called this steeper gradient a lake-edge removal effect and hypothesized that polluted air masses transported onshore experienced increased removal effects as they interacted with fragmented vegetation, similar to the forest-edge effect (Karlsson et al., 2006). In addition, they hypothesized that sand dunes running parallel to the coast may generate turbulent air flow, leading to additional mixing with vegetation and subsequent removal (Blanchard and Aherne, 2019).

A recent study shows that even high-resolution ozone air quality models still show bias that can be attributed to transport and lake breeze errors (Abdi-Oskouei et al., 2020). A better understanding of this edge effect can improve models and better inform policy related to land use and human health. The present measurement report aims to provide a better understanding of this steep nearshore ozone gradient, which will be referred to in the following as a lake-edge removal effect. A field campaign was conducted from June–August 2022 (summer) and December 2022–February 2023 (winter), with some follow-up measurements in early summer 2023 to investigate the short-term reproducibility, seasonal dependence, and effect of land local forms on the lake-edge removal effect.

2 Method

2.1 Study sites

The field campaign consisted of measurements from June–August 2022 (summer) and December 2022–February 2023 (winter) in Toronto, a built-up urban environment, and in Oshawa, a more suburban setting located about 50 km east of Toronto. Sampling sites within Toronto and Oshawa were chosen to evaluate the spatial variation of ground-level ozone along a linear transect perpendicular to the lake in urban and suburban areas respectively. Both cities have stations in Ontario's Ambient Air Monitoring Network that measure O3, NO2, NOx, SO2, and PM2.5, providing a basis for comparison and calibration points. These more urban locations were selected as a direct contrast to the previous study by Blanchard and Aherne (2019) that sampled in Sandbanks Provincial Park, a public beach and forested park outside Belleville, Ontario. The cities are also close enough that differences in regional background ozone levels should not interfere with nearshore measurements. Both cities were sampled again twice in June–July 2023 (summer) to confirm observations were a persistent yearly phenomenon. Six sampling sites lying between the two cities were also selected to evaluate ozone levels parallel to the lake and sub-regional ozone differences. The complete set of data is available from https://doi.org/10.5683/SP3/KETM5Z (Donaldson, 2023).

2.2 Toronto sites

The Toronto lakeshore site lies in the harbourfront area of downtown Toronto. Figure 2 displays the sampling locations chosen. The major features near the shore consist of a concrete and wood boardwalk, docks, sidewalks, roads, and mid- to high-rise buildings. High vehicular and foot traffic occur along major roads. The Gardiner Expressway runs parallel to the shoreline within the region. Some boat and ferry traffic operates from spring–fall.

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f02

Figure 2Ozone sampling locations in Toronto for transects perpendicular to shore. © Google Maps 2023.

Thirteen locations ranging from 3580 to 15 m from shore were sampled during 6 d in the summer and 7 d during the winter measurement period (see Table S1 in the Supplement). The weather in summer was mostly consistent, ranging from sunny to cloudy with mean daily temperatures from 19.0 to 26.3 °C. In winter, only locations within 1 km of the shore were sampled, location IDs 29 to 37 (see Fig. 2), spanning a distance of 820 to 15 m from shore. One additional location (ID 34) was added during the winter period that were not sampled in summer to increase the number of locations within 1 km of shore. The weather in winter was highly varied from sunny to heavy rain and light snow. Temperatures ranged 1 to 7 °C.

2.3 Oshawa sites

The Oshawa study area is within Lakeview Park (see Fig. 3), with a few shoreline features such as a beach, a headland to the south-west, a stream with surrounding marshes running into the harbour, and low-rise residential housing. The area contains amble vegetation within parkland and marshland and mature trees line residential roads and backyards. There is some vehicular traffic and foot traffic, especially during spring–fall. Fifteen locations ranging from 11 000 to 143 m from shore were sampled in summer. Lakeview Park Lighthouse sits on a structure that extends into the lake, and so was regarded as negative distance. The weather was consistent during the summer sampling days, sunny to cloudy with mean daily temperatures 16.6 to 23.2 °C. A subset of 10 locations were sampled in the winter period, ranging from 873 to 34 m from shore. Two new locations (ID 8 and 12) were added in winter to increase the number of locations within 1 km and one location, the Lakeview Park Lighthouse (ID 14), was inaccessible in winter. Lakeview Park Rocks (ID 18) was only sampled on two occasions as weather conditions made it unsafe to access. Weather conditions ranged from sunny to light snow with temperatures 1 to 6 °C. Sampling was done on 7 d in both summer and winter.

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f03

Figure 3Ozone sampling locations in Toronto for transects perpendicular to shore. © Google Maps 2023.

2.4 Sites parallel to shore

Six locations from Scarborough, in eastern Toronto, to Oshawa were chosen to measure ozone concentration gradients parallel to the coast. The locations are identified in Fig. 4. Five of the six locations were at commuter train stations: Oshawa, Whitby, Ajax, Pickering, and Rouge Hill. The stations were isolated from nearby residential housing that were mostly low to medium density. There was regular train and vehicular traffic. The sixth site was at the University of Toronto Scarborough Campus (ID 24). The campus is located north of Highland Creek and contains river and parkland features, along with low- to medium-rise buildings and some small pockets of woodlots and shrubbery. There was regular foot and vehicular traffic mainly at the intersection and parking lots. Distance from shore ranged from 3640 m (ID 24) to 70 m at Rouge Hill station (ID 23). Six days were sampled in summer with weather mostly sunny to cloudy and temperatures between 24 and 30 °C. Full information about location sites is provided in Table S1 in the Supplement.

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f04

Figure 4Ozone sampling sites in summer 2022 for parallel transect. © Google Maps 2023.

2.5 Instruments and measurements

Ground-level ozone was measured using an Aeroqual 500 handheld monitor. The Aeroqual 500 is a commercial ozone monitor with a gas-sensitive semiconductor sensor, with a stated detection limit of 0.001 ppm and a measurement error of ±0.001 ppm according to the manufacturer's calibration. The monitor was held perpendicular to the wind direction 1.5 m high above ground elevation. Five consecutive values at 1 min intervals were recorded and averaged to generate a single reading. All measurements were made in the afternoon between 12:00 and 20:00 EDT except for those made on 14 July 2022, when measurements were made up to 21:00 EDT. This was done to measure where ozone levels are highest during the day for instrumentation reasons and to reduce the influence of diurnal ozone trends as changes are also minimized during peaks. All measurements were made within an approximate 4 h time frame on a single day. Nearshore sites under 1 km on a single day were measured within an approximate 1.5 h time frame. Wind speeds and wind chill temperature were measured using an AOPUTTRIVER 816B handheld anemometer at the same time as the ozone measurements. Wind direction was measured using a digital compass. GPS information of each sampling site, including longitude, latitude, and elevation, was obtained using the GPS Essentials phone application. Hourly wind speed, wind direction, and temperatures were obtained from Environment Canada from https://climate.weather.gc.ca/historical_data/search_historic_data_e.html (last access: 8 November 2023; Environment and Climate Change Canada, 2023) from the Toronto City Centre (ID 6158359), Toronto Buttonville Airport (ID 6158409), and Oshawa (ID 6155875) stations. Weather conditions at each site were also recorded from personal observations.

The Aeroqual 500 monitor output was compared with the real-time unverified data from Ontario air quality stations in Oshawa and Downtown Toronto. An average of 10 measurements were taken immediately outside the provincial air quality stations and compared with unverified data from the nearest hour. Monitor measurements agreed with station measurements within 1 standard deviation (see Tables S2 and S3).

Hourly O3 and NO2 data were extracted from Ontario's Ambient Air Monitoring Network in the Oshawa and Toronto Downtown stations from https://www.airqualityontario.com/ (last access: 8 March 2023; Ontario Ministry of the Environment, Conservation and Parks, 2023). Hourly data from January 2021 and July 2021 was extracted on 22 June 2022 and used as a baseline representation of both cities for winter and summer respectively (see Tables S4 and S5).

2.6 Data treatment

The average ozone concentration (expressed as ppbv) and its standard deviation were calculated for each location for each measurement day. Summer and winter values for each city on each measurement day were separately plotted against distance from shore, with a linear least-squares regression applied to all data points within 1 km of shore. Data measured in Toronto on 10 December 2022 were removed as an outlier from subsequent statistical treatment due to low R2. Slopes were averaged for each city and each season, and a two-way ANOVA was applied to average ozone concentration as a function of season and city. Ozone values from the transects parallel to shore in summer were plotted against distance from shore and against distance from Oshawa with Oshawa station (ID 19) set as zero point. Linear regression was applied to these data to determine any gradient present. Wind direction and speed were plotted on a wind rose diagram, and a Pearson r correlation and linear regression were applied to determine whether any relationship existed between transient wind speed and ozone concentration. Lake-breeze days were assessed in Toronto by the four criteria outlined by Laird et al. (2001) that had previously been used by Wentworth et al. (2015) to identify lake-breeze days in Toronto. Offshore winds were defined as between 90–270° inclusive and onshore winds < 90 and > 270°. Toronto Buttonville airport (ID 6158409) was designated as the inland station and Toronto City Centre (ID 6158359), located on the Billy Bishop Airport island, as on the lake station location. Arithmetic means of daily O3 and NO2 levels were calculated using hourly measurements (12:00 to 21:00 EDT) from the provincial stations in January and July 2021. A two-way t test was applied on daily mean values between each city in January and July.

3 Results

3.1 Summer ozone gradients

Figures 5 and 6 show a negative linear relationship between ozone concentration and distance from shore in summer on all measurement days for both Toronto and Oshawa. The average slope over the nearest 1 km from shore was 15.4 ± 6.7 ppb km−1 in Toronto and 23.5 ± 8.5 ppb km−1 in Oshawa, where the uncertainties given represent 1 standard deviation from the mean. Toronto gradients are similar to those previously measured in another urban area; Zhang et al. (2020) measured ozone gradients of 15 and 18 ppb km−1 in the north and south shores of Long Island, New York, United States, at distances of around 2 km. However, these values are much higher than what Geddes et al. (2021) measured in Boston, Massachusetts, United States, where horizontal Ox (NO2+ O3) gradients of 35 and 40 ppb in 15 km, equivalent of 2.3 and 2.7 ppb km−1, were observed. The values reported by Stanier et al. (2021) also indicated an equivalent of around 5–6 ppb km−1 on the west coast of Lake Michigan with 4.1 km. Ozone gradients were greater on average in Oshawa than in Toronto, which also typically showed more elevated levels of ozone nearshore. The Oshawa gradient was smaller than the 37.6 ppb km−1 measured by Blanchard and Aherne (2019) in Sandbanks Provincial Park. There was no statistical difference in slope for either Toronto or Oshawa on weekends compared to weekday (two-sample t test, p > 0.05).

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f05

Figure 5Scatter plot of average O3 (ppb) to distance from the shore of Lake Ontario (m) in Toronto summer with linear regression within 1 km. Error bars represent ±1 standard deviation from the mean of five consecutive 1 min measurements.

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https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f06

Figure 6Scatter plot of average O3 (ppb) to distance from the shore of Lake Ontario (m) in Oshawa summer with linear regression within 1 km. Error bars represent ±1 standard deviation from the mean of five consecutive 1 min measurements.

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Similar to results by Blanchard and Aherne (2019), ozone concentrations reached a minimum just under 1 km from shore and then generally plateaued or increased somewhat at distances further from shore. In Toronto, as illustrated in Fig. 5, ozone levels tended to increase moving further inland. This is particularly noticeable on 13 August 2022, when the two points farthest from the lakeshore had concentrations higher than the highest nearshore levels. The observations illustrated in Fig. 6 show that in Oshawa, ozone levels remained constant or continued to decline gently at distances further than  1 km away from shore, up to 11.5 km, and they did not regain the higher levels measured nearshore. This observation may reflect the lack of measurements within the 750–2000 m region or be due to a lack of source emissions to generate more ozone in the daytime in areas not influenced by lake breeze.

Despite the differences in nearshore trends, there were no differences in regional ozone levels between the two cities. Pre-campaign, daily ozone averages from Ontario's Ambient Air Monitoring Network in July and January 2021 were compared, and no significant difference was found in summer (see Table S4). To test this, ozone was measured at sites parallel to the shore, shown in Fig. 4, and an average increase of 0.26 ± 0.28 ppb km−1 (1 standard deviation) was measured, negligible compared to changes perpendicular to the shore. See Figs. S1 and S2 for further information.

The Toronto and Oshawa locations were sampled twice each in summer 2023 to confirm if the trends reported in Figs. 5 and 6 are consistent (see Figs. S3 and S4). All days displayed a negative linear relationship between ozone concentration and distance from shore. Slopes calculated from linear regression lie in the range seen in 2022 and were within 2 standard deviations of the means from those measurements, showing a consistency year to year.

3.2 Winter ozone gradients

Figures 7 and 8 show that in winter, ozone gradients within 1 km of the shoreline were again consistently observed in both Toronto and Oshawa. In Toronto, the steepest slope was observed on 4 December 2022, 19.5 ppb km−1, approximately twice the value of all other days (see Table S6). The steepest slope in Oshawa was also observed at a similar time on 2 December 2022 (see Table S7). The lowest slope in Toronto was measured on 10 December 2022, with poor fit (R2= 0.00013), and was removed from further data analysis. Weather and temperature on these days were not noticeably different from the other days that can be attributed.

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f07

Figure 7Scatter plot of average O3 (ppb) to distance from the shore of Lake Ontario (m) in Toronto winter with linear regression within 1 km. Error bars represent ±1 standard deviation from the mean of five consecutive 1 min measurements.

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https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f08

Figure 8Scatter plot of average O3 (ppb) to distance from the shore of Lake Ontario (m) in Oshawa winter with linear regression within 1 km. Error bars represent ±1 standard deviation from the mean of five consecutive 1 min measurements.

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Ozone gradients were higher in Toronto than in Oshawa, the opposite of what was observed in summer. The average slope was 16.7 ± 7.3 ppb km−1 in Toronto and 8.1 ± 5.1 ppb km−1 in Oshawa, where the uncertainties given again represent 1 standard deviation from the mean. The range of ozone values was similar for both cities, around 25–45 ppb at the lakeshore (distance to shore = 0 m), unlike in summer where higher maximum values were observed in Oshawa right at the shore.

4 Discussion

4.1 Lake breeze and ozone gradients

Lake breezes are known to influence shoreline ozone pollution levels (Cleary et al., 2022a) and are common during the summer in the Great Lakes region. Lake breezes were observed 74 % of summer days 2010–2012 in Lake Ontario (Wentworth et al., 2015) and over 90 % of study days in the southern Great Lakes region during the BAQS-Met study in summer 2007 (Sills et al., 2011). A slight positive relationship in Toronto in summer between wind speed and ozone concentration was observed using Pearson's correlation (r= 0.45, p< 0.001) and linear regression (R2= 0.20) (Fig. S5). A stronger positive relationship was observed in Sandbanks Provincial Park in summer (R2= 0.84) (Blanchard and Aherne, 2019). There was no relationship in winter between wind speed and ozone concentration in either Oshawa (Pearson's correlation coefficient r=0.047, p> 0.05) or Toronto (Pearson's correlation coefficient r= 0.079, p> 0.05).

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f09

Figure 9Wind rose plots displaying the relative frequencies of wind direction (cardinal direction) and speed (km h−1) at sampling sites in (a) Toronto summer, (b) Toronto winter, and (c) Oshawa Winter. Data were not collected during Oshawa summer. Made with https://windrose.xyz/ (last access: 27 July 2023; Blom, 2023).

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Lake-breeze days in Toronto summer 2022 were determined using the criteria outlined by Laird et al. (2001) and were positive for all days except for 2 August 2022. Similarly, the wind rose of Toronto summer 2022 displayed in Fig. 9a also shows an onshore wind typical of lake breezes from a predominantly SW–SE direction (69 % observed) from all wind measurements directions observed during sampling. The only negative result for wind breeze, 2 August 2022, had the lowest measured slope, 8.6 ppb km−1, and wind directions recorded along each sampling site were sporadic with no trend. However, a z score of +0.928 and Grubbs' outlier test (a= 0.050) show that this is not a significantly lower value. The steepest negative gradient was measured on 13 August 2022, with winds present over a wide range of directions: SW–SE, W, and E, at various sample sites. Wind measurements were not made during ozone sampling in Oshawa summer 2022, and the lack of available historical climate data prevented the assessment of lake-breeze days in Oshawa.

All days in Toronto winter were negative for lake breeze except for 12 February 2023. This is expected as in winter circulation patterns are reversed with daytime land breezes leading to a convergence, a net inflow of air, over the lake (Passarelli and Braham, 1981). Offshore winds were observed in Toronto, strongly SW (31 % occurrence) and E–NE (28 %), as well as in Oshawa where winds were evenly split SW–N (77 %) and SE (17 %) (Fig. 9b and c). On 12 February the slope was on the steeper end but within the range of days with no lake effect. There are currently only a limited number of studies focused the connection between local-scale circulation and ozone or other pollutants in winter, and this should be further investigated.

4.2 Seasonal changes in ozone gradient

A year-round negative linear relationship between ozone and distance from lakeshore was observed in Toronto and Oshawa. Figure 10 shows that median and mean slopes of the nearshore ozone gradient in Oshawa were smaller in winter compared to summer. The spread of data is smaller in winter, with outliers on the earliest sampling date 4 December 2022, below the minimum, and the latest sampling date 20 February 2023, above the maximum. The median and mean slopes in Toronto did not vary seasonally. A two-way ANOVA was performed to compare the effects of season and city on mean slope. There was no statistically significant difference between the mean gradients observed in the two cities for each season (p= 0.926). There was a statistically significant change in slope within Oshawa between summer and winter (p< 0.001) and no seasonal difference in Toronto (p= 0.767). This seasonal difference is further supported by the sampling completed in summer 2023. Oshawa slopes were once again at similar levels to summer 2022, while Toronto remained consistent (see Figs. S3 and S4).

https://acp.copernicus.org/articles/24/2387/2024/acp-24-2387-2024-f10

Figure 10Box-and-whisker plot of median nearshore slopes in Oshawa and Toronto in two seasons: summer (June–August) and winter (December–February). The edges of the box represent the interquartile range and the median of the upper and lower half of the data exclusive of the median. The error bars represent the maximum and minimum values. The horizontal line within the box shows the value of the median, and the × symbol shows the mean. Individual dots represent outliers.

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Ozone gradients observed year-round despite a lack of lake-breeze circulation and relationship with wind speed suggest local circulation is the major contributing factor. One possibility is that there is a “baseline” gradient that occurs due to dilution of air from the increased mixing heights that occurs as the boundary layer gains altitude inland from the coast (Cleary et al., 2022a; Loughner et al., 2016; Stroud et al., 2020). A study in Japan reported that in winter and early spring, daytime O3 is described more by the development of a mixing layer and the emission strength of NO near the observation site rather than sea-breeze circulation (Mizuno and Yoshikado, 1983). Loughner et al. (2016) found that the planetary boundary layer in Chesapeake Bay increased from 1.5 km to almost 2.4 km within 5 km inland then plateaued, and that coincided with declines in nitrogen dioxide surface concentration. For Toronto, Stroud et al. (2020) modelled an ozone turbulent mixing height of only a couple of metres for air masses over the lake; this mixing height rapidly grew to become up to 2.3 km altitude after 1 km inland. This distance scale for boundary layer growth is certainly consistent with the results observed in this study, where the lake-edge removal effect was observed within 1 km and ozone concentrations increased or plateaued after this distance. This is also seen within the literature where there are similarly steep ozone gradients in measurements at 1–2 km distances from shore to what we report: 18 and 15 ppb km −1 by Zhang et al. (2020) and 37.6 ppb km−1 by Blanchard and Aherne (2019). At farther distances, the gradient is less steep or even rises: 2.3 and 2.6 ppb km−1 by Geddes et al. (2021) and 4 ppb km−1 by Blanchard and Ahrene (2019).

Dilution caused by boundary layer growth, however, does not explain the differences between Toronto and Oshawa or their seasonal differences. Similar gradients should occur in Toronto and Oshawa due to their geographic proximity, and a less steep gradient would be expected in winter, but this is only observed in Oshawa and not in Toronto. It is possible that more mixing occurs in Toronto due to increased turbulent mixing caused by urban infrastructure. Seasonal impacts of temperature and sunlight on ozone concentration are also possible, and we observe an overall decline in ozone mixing ratios in winter, but once again would be expected to influence both cities in a similar manner. Additional small-scale modelling would be needed to determine if the seasonal boundary layer changes are not uniform between the cities.

The significant seasonal variation in ozone gradients observed in Oshawa but not in Toronto suggests vegetation as a key controlling mechanism for the lake-edge removal effect. Comparing summer values among Toronto, Oshawa, and Sandbanks, the average ozone gradient away from shore increases going from less to more vegetated areas: 15.4 ± 6.7 (1 standard deviation) ppb km−1 in Toronto, 23.5 ± 8.5 (1 standard deviation) ppb km−1 in Oshawa, and 37.6 ppb km−1 in Sandbanks Provincial Park. Vegetation plays an important role in regulating tropospheric O3, providing both a removal mechanism via uptake to leaves and in canopy chemistry and a source via volatile organic compound production, in addition to indirect effects on air chemistry by cooling and shading (Fitzky et al., 2019). Previous studies have reported a forest edge effect, where ozone concentration was reduced within forests compared with open regions, through increased rates of stomatal uptake and dry deposition overwhelming ozone replacement from horizontal wind or higher air layers (Karlsson et al., 2006). Blanchard and Aherne (2019) hypothesized that fragmented vegetation at the Sandbanks site increased removal effects as polluted air masses were transported onshore from Lake Ontario. The seasonal factors may enhance one another, as a study has reported the removal of O3 by vegetation can be enhanced by the presence of sea breeze through increased relative humidity and turbulent mixing at the surface (Li et al., 2019).

The seasonal stability of the ozone gradient in Toronto suggests a different regime not affected by seasonal changes. Lake breeze was observed on most sampling days in summer and not present on most days in winter, yet there was no significant difference in the ozone gradient between seasons. Using data from Ontario's Air Quality Monitoring system, average daily NOx levels in 2021 during sampling hours of 12:00–21:00 EST were higher in Toronto than Oshawa, and this difference was statistically significant (p< 0.05) for both seasons (see Table S3). Net chemical loss by titration of O3+ NO is known to decrease ozone levels in urban areas compared to nearby rural regions (Cleary et al., 2022a). NO2 was not measured in this report; however, other studies on coastal regions have reported this is not a contributing factor as NO2 along with other gas phase compounds and aerosol also decline with distance from shore and most strongly in the first 1–2 km, due to growth in boundary layer height (Klingberg et al., 2012; Loughner et al., 2016). Elevated levels of NOx over water from ships are also not expected as Toronto is not a major port city. Strong SW winds (Fig. 9b) in winter could suggest pollutants being moved along the coast from nearby in industrial areas upstream that contribute to higher ozone levels near the coast that are not present in Oshawa. Further study would be required to tease out the underlying reasons for the seasonal city differences.

5 Conclusion

Ground-level ozone gradients perpendicular to Lake Ontario were investigated in Toronto and Oshawa. A linear ozone gradient with respect to distance from shore was consistently observed in both cities throughout the year that included a lake-edge removal effect, consisting of an ozone minimum around 600–800 m from the shore. Local landform and subsequent ozone production regime are connected to ozone gradients as they increased in steepness from urban to rural: 15.4 ± 6.7 (1 standard deviation) ppb km−1 in Toronto, 23.5 ± 8.5 (1 standard deviation) ppb km−1 in Oshawa, and 37.6 ppb km−1 in Sandbanks Provincial Park (Blanchard and Aherne, 2019). A slight urban–rural ozone gradient was also observed in summer with ozone levels increasing towards more urban regions.

The seasonal changes in the lakeshore ozone gradient in Oshawa and Toronto suggest that the lake-edge removal effect is less strongly associated with lake-breeze circulation than previously assumed. A year-round lake-edge removal effect, the steep gradient within 1 km, is hypothesized to be the result of the growth of boundary layer height diluting the air moving inland from the coast. Average ozone gradients were smaller in winter than summer in Oshawa while they remained similar in Toronto. In addition, the gradient remained present in winter despite the lack of lake breeze, and there was no correlation with local wind speed in winter in either city. Lake-breeze circulation and deposition by vegetation are hypothesized to cause the stronger gradients in Oshawa summer as well as the strong seasonal difference seen there compared to Toronto. In Toronto, increased turbulent mixing due to infrastructure could also be minimizing the effects of lake-breeze circulation in summer. Although differences in how the boundary layer height increases perpendicular to the lakeshore are not expected due to the proximity of the two cities, they may indeed play a role in why the gradient does not change seasonally in Toronto. This possibility awaits regional modelling studies for its testing. Further studies to co-monitor O3 and NOx gradients perpendicular to the shore could elucidate the mechanism within urban areas.

Code and data availability

All data used in this paper can be obtained at https://doi.org/10.5683/SP3/KETM5Z (Donaldson, 2023). The tool used to create wind maps is available here: https://windrose.xyz/​​​​​​​ (Blom, 2023). Historical hourly meteorological data for Canadian sites are available here: https://climate.weather.gc.ca/historical_data/search_historic_data_e.html (Environment and Climate Change Canada, 2023). Current and historical hourly ozone and nitrogen dioxide concentrations in downtown Toronto and Oshawa are available here: https://www.airqualityontario.com/history/summary.php (Ontario Ministry of the Environment, Conservation and Parks, 2023).

Supplement

The supplement related to this article is available online at: https://doi.org/10.5194/acp-24-2387-2024-supplement.

Author contributions

Both authors designed the field campaign and YYH carried out the field measurements. YYH completed the data analysis, and both authors discussed the data and findings. YYH prepared the draft manuscript. Both authors reviewed and approved the final version of the manuscript.

Competing interests

The contact author has declared that none of the authors has any competing interests.

Disclaimer

Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors.

Acknowledgements

Thank you to Ontario Tech University for access to campus grounds to the Oshawa air quality monitor.

Financial support

This research has been supported by the Natural Sciences and Engineering Research Council of Canada (Research Grant) and the Centre for Global Change Science, University of Toronto (Summer Student Award).

Review statement

This paper was edited by Thomas Karl and reviewed by Alexander Kotsakis and one anonymous referee.

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Ground-level ozone interacts at the lake–land boundary; this is important to our understanding and modelling of atmospheric chemistry and air pollution in the lower atmosphere. We show that a steep ozone gradient occurs year-round moving inland up to 1 km from the lake and that this gradient is influenced by seasonal factors on the local land environment, where more rural areas are more greatly affected seasonally.
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