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The South China Sea is an essential maritime transportation channel connecting the Indian and Pacific Oceans, and has a typical monsoon climate with sufficient water vapor conditions. In winter and spring, cold air from middle and high latitudes collides with warm and humid air from the nearby sea, often forming fog. Low visibility caused by sea fog severely affects road, marine and air transportation, and the combination of sea fog and airborne pollutants can also damage human health and reduce agricultural yields (Kasahara et al. [32]; Giulianelli et al. [33]; Niu et al. [2]). Therefore, sea fog is one of the most critical catastrophic weather events affecting economic development and human health. However, current sea fog studies are based on islands and coasts, and fog observation data (especially sea fog) is limited. There are also few reported studies based on sampling surface sea fog chemical characteristics.
Therefore, we installed sea fog observation instruments on a research vessel, which was sailed to a predetermined research area in the South China Sea, to observe and collect sea surface fog water samples. Then, we compared the physical and chemical characteristics and the influencing factors of sea surface fog. It would be a valuable contribution to sea fog research in China.
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Our sea fog observation site was located in the northwestern part of the South China Sea (21.02° N, 110.86° E) (Fig. 1), about 50 km from Zhanjiang Port. The first sea fog observations were made during an obvious sea fog event that occurred from 21: 20 on March 10 to 6:40 on March 11, 2017. A total of nine fog water samples were collected during the event, and one rainwater sample was collected just after the end of it. A further five fog water samples were collected during the second, less lighter sea fog event that occurred from 03: 47 to 9:00 on March 12.
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Fog micro-physical parameters, fog water samples, and regular meteorological elements were studied on board the scientific research vessel Haike 68. Fog microphysical parameters were measured with an FM-100 fog droplet spectrometer (DMT Company, United States), with a sampling frequency of 1 Hz. Variables included liquid water content, number concentration, and average droplet diameter. Fog water samples were sampled by a fog water collector every hour or one sample per two hours if fog water volume was low. The sampling container was repeatedly cleaned with high concentrations of alcohol and distilled water before sampling. After sampling, fog pH and conductivity were detected in situ. Meteorological variables, including temperature, humidity, air pressure, and wind speed, were measured at 1-min intervals. Ion detection was performed using an Intelligent Ion Chromatography-Professional IC 850 ion chromatograph (Metrohm Company, Switzerland), which automatically and simultaneously detects anions and cations.
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pAi is pH, assuming there is no sulfate type and nitrogen-containing acid neutralization in the atmospheric liquid water (Hara et al. [34]). In the calculation, the ratio of sulfate to sodium ions in sea water is taken as 0.12, and the ion concentration in the formula is μeq L-1. The formula is as follows:
$$ \mathrm{pA}_{\mathrm{i}}=-\log \left[\mathrm{nssSO}_4^{2-}+\mathrm{NO}_3^{-}\right] $$ (1) $$ \mathrm{nssSO}_4^{2-}=\mathrm{SO}_4^{2-}-\left(\mathrm{SO}_4^{2-} / \mathrm{Na}^{+}\right)_{\text {sea water }} \cdot \mathrm{Na}^{+} $$ (2) The acidifying potential (AP) and neutralizing potential (NP) are calculated via the following equations (Tsuruta et al. [14]). The ratio of calcium ions to sodium ions in sea water is taken as 0.044.
$$ \mathrm{AP}=\left[\mathrm{nssSO}_4^{2-}+\mathrm{NO}_3^{-}\right] $$ (3) $$ \mathrm{NP}=\left[\mathrm{NH}_4^{+}+\mathrm{nssCa}^{2+}\right] $$ (4) $$ \mathrm{nssCa}^{2+}=\mathrm{Ca}^{2+}-\left(\mathrm{Ca}^{2+} / \mathrm{Na}^{+}\right)_{\text {sea water }} \cdot \mathrm{Na}^{+} $$ (5) Ion loading (IL) can be calculated using the following equation (Elbert et al. [35]), where ρ is the water density, IC(i) is the ionic concentration of the fog water species I (in μeqL-1), and LWC is the liquid water content (in g m-3), with an IL unit of μeqm-3.
$$ \mathrm{IL}(i)=\frac{\mathrm{LWC} \times \mathrm{IC}(i)}{\rho} $$ (6) -
To facilitate analysis, an average of 1 min was used for all physical quantities, and data recorded during instrument abnormalities were eliminated and replaced with default values. A droplet spectrometer measured the droplet diameter from 1 to 50 μm and was divided into 20 steps. Since the measurement error of the first size bins (1-2 μm) was large, these data were discarded.
We estimated the ion balance deviation percentage during quality control of analyzing ion / cation concentration data in our samples (the ratio of the difference between the anion and cation concentrations to the sum). Based on the findings of Cini et al. [36] and Blas et al. [8], we considered that ion equilibrium was satisfied when the percentage difference of the ion balance (PDI) was between -5% and 35%, when H+ was not detected, and when fog was acidic. Calculated results are shown in Table 1. Mean PDI for the 15 samples was 19.4%, with a standard deviation of 8.3%, and PDI ranged from 5.7 to 32%. Mean PDI for 9 samples in the first sea fog event was 16.2% with a standard deviation of 6.5%, PDI ranged from 5.7 to 26.8%, mean PDI for 5 samples in the second sea fog event was 27.1% with a standard deviation of 5.8%, and PDI ranged from 20.1 to 32%. The positive value indicates that the anion concentration is greater than that of cations, and the low pH of the second sea fog event compared to the first sea fog, led to a higher PDI. Data quality can also be checked by comparing the total cation, with the total anion concentration (Table 1, Degefie et al. [37]). Ion balance was in relatively good agreement between total anions and cations (mean value of 0.68 and standard deviation of 0.12). Therefore, data quality control based on both methods was within acceptable limits, which allowed for further ion concentration data analysis.
Sampling time PDI TIC Anions/cations Sea fog sample 1 3-10T21:20-22:00 19.3% 94859.6 0.68 3-10T22:01-23:00 7.8% 6160.0 0.86 3-10T23:01-00:00 5.7% 4490.2 0.89 3-11T00:01-02:00 18.1% 20638.0 0.69 3-11T02:01-03:00 26.8% 15952.8 0.58 3-11T03:01-04:00 19.4% 19102.9 0.68 3-11T04:01-05:00 19.0% 9079.6 0.68 3-11T05:01-06:00 17.1% 7817.8 0.71 3-11T06:01-07:00 12.5% 12324.0 0.78 Rain sample 3-11T07:01-10:00 9.9% 11940.8 0.82 Sea fog sample 2 3-12T03:47-05:00 32.0% 60905.2 0.52 3-12T05:01-06:00 21.8% 16811.7 0.64 3-12T06:01-07:00 20.1% 10675.5 0.66 3-12T07:01-08:00 32.0% 20815.2 0.52 3-12T08:01-09:00 29.8% 34345.9 0.54 Table 1. Percentage deviation of ion balance (PDI), total ion concentration (TIC), and anion to cation ratio of fog water and rainwater in South China Sea fog.
2.1. Study area
2.2. Sea fog observation
2.3. Sampling and methods
2.4. Calculation method
2.5. Data processing and quality control
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Electrical conductivity (EC) and total ion concentration (TIC) showed a relatively consistent trend, with a correlation coefficient of 0.97. Conductivity at the beginning of the two fog events was much higher than that during them, indicating that a large number of aerosols are dissolved in the fog water at the initial stage. Furthermore, conductivity at the end of the second fog event was much higher than that during it, corresponding to an increase in total ion concentration. Sea fog EC values ranged from 425 to 5400, with a mean of 1965 μS cm-1, close to the mean (1884) of the 2010 Zhanjiang Donghai Island fog event (Yue et al. [19]), and much higher than the mean (505) of the 2011 Zhanjiang Donghai Island fog event (Yue et al. [20]). Conversely, the sea fog total ion concentrations (in μeq L-1) in 2010 were 23855.6 μeq L-1 and 34881.7μeq L-1, respectively, which were much higher than that near the Donghai Island in Zhanjiang in 2011 (7653.9μeq L-1).
Sampling time EC pH pAi (pH-pAi)/pH AP NP AP/NP Alwc Sea fog sample 1 3-10T21:20-22:00 5400 3.07 4.4 -0.43 25309.5 11322.3 2.24 0.151 3-10T22:01-23:00 541 3.50 3.23 0.08 1704.6 1147.1 1.49 0.304 3-10T23:01-00:00 425 3.30 3.09 0.06 1239.3 1046.0 1.18 0.130 3-11T00:01-02:00 1745 2.58 3.72 -0.44 5282.1 2742.3 1.93 0.060 3-11T02:01-03:00 1595 2.56 3.79 -0.48 6194.9 2474.0 2.50 0.080 3-11T03:01-04:00 1721 2.51 3.76 -0.50 5811.8 2511.7 2.31 0.050 3-11T04:01-05:00 1063 2.76 3.51 -0.27 3238.5 1685.2 1.92 0.111 3-11T05:01-06:00 938 2.86 3.41 -0.19 2549.2 1383.6 1.84 0.099 3-11T06:01-07:00 1260 2.76 3.55 -0.29 3538.1 2088.7 1.69 0.038 Rain sample 3-11T07:01-10:00 810 4.05 3.3 0.19 2016.3 1172.2 1.72 - Sea fog sample 2 3-12T03:47-05:00 4340 2.24 4.35 -0.94 22644.0 6137.6 3.69 0.021 3-12T05:01-06:00 1901 2.52 3.77 -0.5 5953. 4 2747.0 2.17 0.025 3-12T06:01-07:00 1394 2.65 3.58 -0.35 3803.0 1938.3 1.96 0.018 3-12T07:01-08:00 1962 2.52 3.91 -0.55 8107.2 3027.2 2.68 0.012 3-12T08:01-09:00 3220 2.31 4.1 -0.77 12651.3 4700.1 2.69 0.007 Alwc: average of liquid water content Table 2. Conductivity (μS cm-1) and acidity indicators of sea fog water and rainwater in the South China Sea.
The acidity index (pH) is critical for characterizing fog water. Therefore, pH was examined for sea fog samples from the South China Sea for comparison with other regions, and to determine fog water acidity. Our results showed that pH of the first sea fog varied from 2.51 to 3.50 with a mean of 2.86, and pH of the second sea fog event varied from 2.24 to 2.65 with a mean of 2.45. The pH of both sea fog events was lower than those for coastal Donghai Island in 2010 (mean value of 5.2, Yue et al. [19]) and 2011 (mean value of 3.34, Yue et al. [20]).
Other parameters and methods have been proposed to determine fog water acidity. From the (pH-pAi)/pH results, the value for the first sea fog event ranged from -0.48 to 0.08, and the value for the second sea fog event from -0.94 to -0.35. The smaller positive value corresponds to the three extreme values of fog and rainwater pH; the negative value indicates that the concentration of other acids (e. g., hydrochloric acid, HCl) is greater than that of alkaline substances, and that H+ from HNO3 and H2SO4 did not participate in the neutralization reaction. The high concentration of NO3- and SO42- ions during the two sea fog events (Table 3) and the mean values of (pH-pAi)/pH of -0.27 and -0.62 for the two sea fog events, respectively, indicate that a large amount of sulfate-type and nitrogen-containing acids did not undergo neutralization, resulting in the mean pH of below 3 in both sea fog events.
Cl- /Na+ SO42-/Na+ NO3-/ Na+ K+/Na+ Ca2+/ Na+ Mg2+/ Na+ NH4+/ Na+ NO3-/SO42- pH South Sea fog 1 1.64 0.66 1.15 0.24 0.19 0.29 0.67 1.73 2.86 South Sea fog 2 1.69 1.23 1.31 0.15 0.10 0.27 0.79 1.06 2.45 South Sea rain 1.57 0.44 0.46 0.50 0.03 0.08 0.47 1.06 4.05 Donghai Island fog 2011a 1.46 1.81 1.79 0.12 0.32 0.30 - 0.99 3.34 North Pacific sea fogb 0.78 2.96 0.27 0.20 0.35 0.25 0.97 0.09 3.59 North Pacific rainb 1.25 0.26 0.08 0.02 0.07 0.25 0.01 0.31 4.54 South Pacific rainb 1.33 0.15 0.09 0.04 0.06 0.12 0.01 0.60 Sea waterc 1.17 - - 0.02 0.04 0.23 - - - a: (Yue et al. [20]); b: (Kim et al. [11]); c: (Keene et al. [38]) Table 3. Ratios between different ionic components and pH for sea fog and rain.
Tsuruta et al. [14] used acidifying potential (AP) and neutralization potential (NP) to analyze the magnitude of the contribution of acidic and alkaline substances when AP = NP, implying theoretically neutral water. For the first sea fog event, AP / NP ranged from 1.18 to 2.31, while for the second, it ranged from 1.96 to 3.69. The neutralization potential of the second sea fog event was weaker than that of the first, resulting in a lower pH. The AP of the initial sea fog event in the South China Sea was the largest, and the average AP of both fogs was 2.2 times NP, resulting in an average pH below 3.
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Ion concentration ratios of chloride (Cl-), potassium (K+), calcium (Ca2+), and sodium (Na+) in the North and South Pacific rainwater are relatively similar. In contrast, potassium ions account for a more significant proportion of South China Sea rainwater. Proportions of nitrate (NO3-) and ammonium (NH4+) in South China Sea rainwater are much higher than that in North and South Pacific rainwater, primarily because South China Sea rainfall occurs after the fog. The primary rainwater ions in different regions are chloride, and their ratios are much larger than those of nitrate and sulfate (SO42-).
The main sea fog cations in different regions are sodium and ammonium (see Yue et al. [20] for the 2011 Donghai Island sea fog episode). Average sodium and ammonium concentrations in the first South China Sea fog event were 3615 and 2423 μeq L-1, respectively, while in the second, the values were 4395 and 3472 μeq L-1, respectively. North Pacific fog has less anthropogenic influence based on low nitrate concentration. As a major contributor to aerosols over the North Pacific, the Taklimakan Desert imports large amounts of sulfate into the atmosphere each year and long-range transport to the North Pacific (Betzer et al. [39]; Gao et al. [40]; Zhuang [41]). Therefore, the high SO42- concentration in the North Pacific sea fog is related to dust. Compared to North Pacific sea fog, where SO42- is the primary ion, South China Sea fog is dominated by Cl- and NO3-. Values of all these three ions in the Donghai Island are relatively similar. Average Cl- and NO3-concentrations in the first South China Sea fog were 5941 and 4140 μeq L-1, respectively, while in the second fog event, they increased to 7408 and 5736 μeq L-1, respectively.
The Cl- / Na+ ratio in North Pacific Sea fog is lower than that in sea water (1.17), which may be due to HCl volatilization from sea salt particles leading to chloride depletion (Betzer et al. [39]; Collett et al. [42]; Kim et al. [11]). In contrast, the Cl- / Na+ ratio in sea fog in the South China Sea and Donghai Island is higher than that in sea water (1.17), suggesting that there may be other sources such as volcanic eruptions and anthropogenic burning that lead to excess droplet HCl (Gioda et al. [43]; Jung et al. [10]; Fu et al. [44]). The Mg2+/Na+ ratio in sea fog in different regions is close to that of sea water, indicating that Mg2+ is mainly from marine sources. The high calcium concentration is mainly from soil and sand (Millet et al. [45]; Ali et al. [46]). Although calcium to sodium ratio in sea fog in different regions is greater than the proportion in sea water, these ions are scarcer in South China Sea than in Donghai Island and North Pacific sea fogs. In the second South China Sea fog event, these ions were even scarcer than that in the first. This indicates that the influence of land-based sources on the two South China Sea fog events is less than those on the fogs over the North Pacific and Donghai Island. Compared with the Donghai Island and the first South China Sea fog event, the low calcium percentage of the second South China Sea sea fog event is related to aerosol differences between sea and land.
When the equivalent NH4+/(SO42-+ NO3-) concentration ranges from 0.2 to 0.4, it is mainly influenced by marine sources (Zhuang [41]), and in the two South China Sea fog events it was 0.37 and 0.31, respectively. The NO3-/SO42- reflects the relative contribution of the acidogenic precursors SO2 and NOx in fog water acidification, process of fog water, with a ratio greater than 1 for nitric acid type pollution. In the South China Sea, the sea fog pollutants were mainly of nitric acid type (Table 3).
In fog water samples, correlations between different chemical components (Table 4) can indicate whether they come from the same source, and whether they have the same chemical composition. pH did not correlate significantly with a single ion, while EC correlated better with higher ion concentrations. Potassium had a low correlation coefficient with other ions. F-(the lowest ion concentration) had a correlation coefficient less than 0.7 with all other ions. Except for F- and potassium, all other correlation coefficients between sodium, magnesium (Mg2+), and chloride were > 0.99, indicating that the three elements are basically of the same origin, mainly from marine aerosols. Correlation coefficients between calcium and the above three ions were all > 0.94. Excessive calcium concentrations were mainly from soil and sand (Ali et al. [46]), and Ca2+/ Na+ levels in rainwater and sea fog during the second event in the South China Sea were close to those of sea water and lower than in sea fog in the Donghai Island. This indicates that Ca2+ in the second sea fog event mainly originated from marine aerosols, while in the first sea fog event was influenced to some extent by terrestrial aerosols. The correlation coefficient between NH4+ and NO3- and Cl- was 0.98, and that between NH4+ and SO42- was 0.93, and as pointed out by Aikawa et al. [47], NH4+ can exist as NH4NO3, (NH4)2SO4, or NH4HSO4.
pH EC F- Cl- NO3- SO42- Na+ NH4+ K+ Mg2+ Ca2+ pH 1 -0.39 0.41 -0.13 -0.23 -0.42 -0.04 -0.26 -0.45 -0.01 0.18 EC 1 0.28 0.96** 0.98** 0.97** 0.94** 0.99** 0.21 0.93** 0.82** F- 1 0.46 0.34 0.34 0.51 0.38 -0.01 0.52 0.65* Cl- 1 0.99** 0.89** 0.99** 0.98** 0.19 0.99** 0.94** NO3- 1 0.93** 0.97** 0.98** 0.19 0.97** 0.89** SO42- 1 0.87** 0.93** 0.10 0.86** 0.70** Na+ 1 0.97** 0.05 0.99** 0.96** NH4+ 1 0.16 0.97** 0.89** K+ 1 0.06 0.06 Mg2+ 1 0.97** Ca2+ 1 ** P < 0.01, * P < 0.05 Table 4. Correlation analysis between different fog water ions in the northwestern South China Sea.
3.1. Electrical conductivity and acidity indicators
3.2. Fog water ion composition
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Air masses from different regions with different fog droplet condensation nuclei sources impact fog water and fog microphysical structure. Moreover, weather systems determine the dominant wind direction and air current movements from one region to another. Trajectory models can be used to effectively study air mass origin and horizontal transport (Blas et al. [8]). The first sea fog event occurred in the northwestern part of the South China Sea on 10-11 March 2017 (lasting about 10h). According to the Meteorological Information Comprehensive Analysis Process System (MICAPS) sea level pressure field data, the sea fog observation point was located in the southwest of the high pressure, one hour before the sea fog event occurred (20:00 10 March). Moreover, the high-pressure center was located at sea, and was a land high-pressure system moving to the sea (not shown). In the South China Sea, sea fog is stratospheric fog that forms when warm southward airflow moves to the cold sea surface to cool and reach saturation. Analysis of the backward airflow trajectory based on the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT4) model (Draxier and Hess [48]) (Fig. 1) showed that the first sea fog 1500m flow moved from the Central South Peninsula through the Beibu Gulf to the northwestern part of the South China Sea. The high pressure influenced the low-level flow and turned southward with height from the northeast. The low-level airflow moved from the South China Sea to the observation site via Hainan Island, and so marine aerosols and land mainly influenced the air mass along the track.
Although the wind speed during the second sea fog event was greater, and influenced by advection to some extent, the average temperature was significantly lower during the first sea fog event. Therefore, the second sea fog is advection, as well as advection radiation fog formed by the condensation of water vapor in the ground air layer due to radiative cooling by the sea surface. Low-level airflow came from southeast of the observation site on the ocean surface, and so marine aerosols mainly influenced the air mass. Affected by marine sources, and consistent with the results of marine aerosols observed by the South China Sea cruise in January 2010 (He [49]), the main anions in both South China Seafog events were Cl- (Table 3), while observations of the South China Sea cruise in January 2003, affected by land sources caused by the northerly wind, show that SO42- was the main ion (Zhang et al. [50]). Air temperature and air pressure had apparent opposite trends during the first advective fog event. In contrast, the second advective radiation fog changed little in temperature and had an apparent increasing trend in air pressure.
From a principal component analysis of first sea fog water, the two principal components explained 99.6 % of the total variance of fog water ion concentration (Table 5). The first factor had high loading on Cl-, NO3-, SO42-, Na+, NH4+, Mg2+ and Ca2+, which explained 86.8% of the variance. Combined with the backward trajectory (Fig. 1), correlations between different ions primarily originate from aerosols (Cl-, Na+, Mg2+ and Ca2+ all > 0.94, Table 4), and anthropogenic NO3− and NH4+ effects. The first factor represents a mixed marine and human source. The second factor only had a high load on K+, which can be derived from biomass combustion in addition to sea salt, so this factor represents terrestrial sources. Therefore, biomass burning may explain why the proportion of K+ in the first sea fog was much higher than in sea water (Table 3), and the high proportion of K+ in the North Pacific sea fog near the Tsugaru Strait (Kim et al. [11]; Choi et al. [51]). The second sea fog water had only one factor, mainly from mixed marine and anthropogenic sources. The proportion of K+ in the first fog event was greater than that in the second, which was related to land source. Variation in NO3-/SO42- in the Haikou first six samples and the corresponding NO2/SO2 in the Haikou eight hours ahead (referring to the backward trajectory in Fig. 1a) of the first sea fog event were calculated using the water ion concentration during the first sea fog event and the hourly observed values of NO2 and SO2 in Haikou (data source: https://www.aqistudy.cn). The correlation coefficient between the two sequences was 0.72. Due to dimethyl sulfide oxidation produced by marine plankton, marine salt was mostly sulfate if it was not affected by terrestrial sources at sea. The proportion of SO42- in the first sea fog event was low or related to terrestrial source impact.
Fog1 Fog2 Factor 1 2 1 Cl- 0.378 0.053 0.364 NO3- 0.378 0.064 0.361 SO42- 0.378 0.005 0.361 Na+ 0.378 -0.075 0.36 NH4+ 0.378 0.056 0.356 K+ 0.025 0.985 0.313 Mg2+ 0.378 -0.08 0.359 Ca2+ 0.377 -0.087 0.352 Characteristic value 6.95 1.03 4.32 Variance contribution rate (%) 86.8 12.8 94.4 Factor loads greater than 0.3 are shown in bold. Table 5. Principal component analysis of sea fog water ions.
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Atmospheric aerosol and liquid water content directly affect variation in total ion concentration in fog water, and so it is important to estimate air pollutants deposited through the fog. Therefore, we calculated the ion load (IL) to show the efficiency of nucleation and gas removal (Elbert et al. [35]). The ion loading is defined as the quantity of ions dissolved in the liquid phase in 1 m3 of air.
The fog process is divided into four phases according to liquid water content variation (delimited by the black vertical dashed lines in Fig. 2): the first, second, and third liquid water content oscillations and the dissipation phase. The evolution of fog water NH4+, NO3- and SO42- ion concentrations during the stratospheric fog event is shown in Fig. 2a. The explosive growth of sea fog began at 21: 20 (a rapid increase of LWC in Fig. 2c) and the first hour was fog water collection. Due to activation of droplets containing primary atmospheric pollutants (ammonium nitrate and ammonium sulfate), NH4+, NO3- and SO42- concentrations in the fog water were the highest, and the number concentration and mean diameter also increased rapidly during this phase, indicating formation and activation of a large number of droplets on particles containing NH4+, NO3- and SO42- on the offshore surface. Compared to the hour at the beginning of the first oscillation period, concentrations of the three ions in the last two hours significantly dropped and were similar. Ion loadings were removed at different rates during this phase by wet deposition. As the reaction of sodium chloride and nitrate is faster than sulfate, the rate of change was in the order of NO3- > NH4+ ≈ SO42-. During the whole fog process, the increase (decrease) in the concentration of the three ions correlated well with the decrease (increase) in mean droplet diameter, indicating that sulfate, ammonium, and nitrate were present mainly in the smaller droplets. During the second oscillation phase, average diameter changed little in the first three hours, which indicates that competition for water by the smaller droplets led to restricted growth of the larger droplets. A similar concentration was maintained throughout much of the oscillation phase. Conversely, ion loading showed the same increasing-decreasing oscillation as liquid water content, and the time mismatch was related to the time of fog water sampling. The slight ion concentration recovery during the dissipation phase corresponded to a decrease in liquid water content and mean diameter, and a weakening of the sedimentation scavenging effect. Ratios of NH4+, and NO3- to sodium in the rainwater samples after the sea fog episodes were about 47 and 6 times higher than those in the South and North Pacific, respectively, while the SO42-/Na+ ratio was less than twice that in the South and North Pacific (Table 2). Furthermore, the percentage of SO42- during the second sea fog event was much higher than that during the first, corresponding to a greater ion concentration during the second sea fog event, indicating that sulfate may be the key to fog water formation.
Figure 2. Sea fog ion concentration, ion loading, microphysical parameters, and conventional meteorological elements during the first sea fog event (red: SO42-; green: NO3-; blue: NH4+).
Compared with the advective fogging process during the first fog event, liquid water content, mean diameter, and number concentration during the second fog even twere low, and it was a light fog. Trends in liquid water content and mean diameter correlated well, and concentration trends were relatively small. The ion concentration of the radiation fog showed an overall U structure. In the last two hours, ion concentration increased significantly, corresponding to decreasing liquid water content. The ion load showed a decrease followed by an increase, but the increased rate of change was much lower than the decreasing trend. The microphysical parameters of the fogging process (LWC, D, and N in Fig. 3b) had been oscillating at a high frequency, which was related to the rapid increase in wind speed. The oscillation brought water vapor and also inhibited fog development. As with the previously described advective fog, this fog water ion concentration and loading initiation phase successfully underwent a droplet activation process and wet deposition of the accumulated aerosol before the fog, corresponding to the maximum and maximum rate of change of the three ion concentrations and loadings. Compared with the average diameter and liquid water content of sea fog during the first sea fog event, those during the second sea fog event decreased while the average ion concentration increased.