key: cord-0744854-zfwuihxo
authors: Oluleye, Ayodeji
title: Satellite Observation of Spatio-temporal Variations in Nitrogen Dioxide over West Africa and Implications for Regional Air Quality
date: 2021-08-17
journal: J Health Pollut
DOI: 10.5696/2156-9614-11.31.210913
sha: 7c0f0939b02bfdb96e7f875482e2b4d232459ef0
doc_id: 744854
cord_uid: zfwuihxo

BACKGROUND. Nitrogen dioxide (NO(2)) is known to affect human health, causing heart and cardiovascular diseases, and it has been shown that locations with long term NO(2) pollution recorded a high number of fatalities due to the COVID-19 pandemic. There are no ground stations monitoring emissions of NO(2) over West Africa. The present study aimed to use satellite observations to examine pollutant trends over this region. OBJECTIVE. To examine the trend of NO(2) over the entire West Africa sub region in relationship to contributions to environmental emissions using satellite-derived data. This enables the assessment of West Africa regional air pollution hot spots in relationship to enhancing atmospheric factors. The results from this study will also be useful guidance for setting air quality standards for air pollution controls to minimize health hazards. METHODS. The present study examined thirteen years of average monthly values of nitrogen dioxide (NO(2)) to determine the spatio-temporal variation of this pollutant over West Africa. Satellite data for NO(2) between 2005 and 2017 were used to determine the variation in pollution levels over West Africa. Correlations between NO(2) and meteorological variables (wind speed, rainfall and air temperature) were obtained to explain the influence of West African weather on the region's pollution accumulation. RESULTS. The present study observed that NO(2) concentrations varied from place to place and from season to season. Nitrogen dioxide concentrations during the dry season were higher (sometimes 200% higher) than values observed in the wet season which ranged between 0.5 and 6×10(15) molec/cm(2). Nitrogen dioxide north-south oscillation during the course of a year is largely controlled by the inter-tropical discontinuity (ITD) zone as high concentrations of NO(2) are found in the vicinity of the ITD where wind speeds and horizontal vorticity approaches zero. Correlation analysis between NO(2) and some atmospheric variables indicated NO(2) concentrations are well influenced by atmospheric variables showing bipolar signals depending on the season. An increasing trend of NO(2) was also found over selected cities of the region. This indicated that regional air quality is gradually deteriorating. CONCLUSIONS. The implications of worsening regional air quality were examined in the light of the prevailing COVID-19 pandemic. The dominant atmospheric factor determining pollution episodes in the region is the inter-tropical discontinuity line which marks the meeting point between the two wind regimes over the region. Densely populated areas are characteristically prone to elevated pollution and have experienced high fatalities during the COVID-19 pandemic. COMPETING INTERESTS. The authors declare no competing financial interests.

Certain atmospheric gases are commonly referred to as criteria pollutants. The amount of the gases present in the atmosphere measured against a set of standard values determines the air quality of a location. Nitrogen dioxide (NO 2 ) is a criteria pollutant that has several sources of emissions over West Africa. Both natural and anthropogenic emission sources of NO 2 are largely uncontrolled over the region. Agricultural activities such as dry biomass from crops and bush burning are widely practiced by farmers who are largely subsistence farmers and lack the technology to control emissions. Fossil fuel burning in industries and vehicular emissions are other unregulated sources of NO 2 in urban areas around the region. Nitrogen dioxide is also emitted naturally from soils due to bacteria activities and application of fertilizers. 1 Similarly, a significant amount of NO 2 is emitted as a result of lightning. However, Peel et al has shown that Research the annual amount of NO 2 due to anthropogenic sources far exceeds natural emissions. 2 Nitrogen dioxide is very reactive in the atmosphere, occurring initially as nitrogen monoxide (NO). 3 Oxidation converts NO to NO 2 . 4 The conversion process is reversed as a result of photolytic reaction when NO 2 changes to NO in the presence of sunlight as a catalyst. 5, 6 The oxidation-photolysis process continues until equilibrium is reached according to the chemical process represented in Equation 1.

Oxidation reaction 2NO + O 2 → 2NO 2

Nitrogen dioxide, whose presence in the atmosphere causes horizontal visibility reduction, is quite active in the production of tropospheric ozone leading to a smog problem in the urban atmospher. 6 This occurs early in the morning when vehicle emissions are trapped and mixed with fog close to the ground surface due to shallow boundary layer depth. 7 Nitrogen dioxide dissolves in rainwater through a chemical process to form nitrous acid and nitric acid causing damage to roofing sheets and sculptures. 7 The presence of NO 2 in the atmosphere has been shown to constitute a significant human health hazard. It is a leading cause of lung and heart diseases. 8 Elevated levels of NO 2 also causes suppression of plant growth and impairs their ability to withstand drought, leading to crop failure and food security crises. 9

Ground station measurement of NO 2 is virtually non-existent in West Africa except for some isolated but unreported case studies in the Nigerian Niger Delta. Documented studies of human health impacts and source apportionment of NO 2 are sparse. 10 Satellite remote sensing has proved effective in the aerial study of pollution. It offers the advantage of continuous measurement over a large area. An investigation conducted by Marais et al. using satellite data to map the concentration of anthropogenic emissions in Nigeria revealed that seasonal variation of NO 2 matched the occurrence of large open fires over the Niger delta. 11 These large open fire sources are illegal refineries destroyed by burning, fire from continuous gas flaring and fires from burst pipes, which are criminal acts in most cases. Relevant research studies on West African regional air quality are scarce due to lack of pollution monitoring points and therefore regional air quality is poorly documented and not well understood. The focus of the present study was to examine the trend of NO 2 over the entire West Africa sub region in relationship to contributions to environmental emissions using satellite-derived data. This enables the assessment of West Africa regional air pollution hot spots in relationship to enhancing atmospheric factors. The results from this study will also be useful guidance for setting air quality standards for air pollution controls to minimize health hazards.

West Africa is bounded by the Gulf of Guinea to the south, the Atlantic Ocean to the west, and the Sahara Desert to the north (Figure 1 ). Weather over the region is controlled by a number of atmospheric factors; prominent among them are the inter-tropical discontinuity (ITD), Africa, Easterly Jet and the monsoon winds and moisture depth within the atmospheric boundary layer. 7 The monsoon winds have two regimes; south-westerly from the ocean and north-easterly winds from the Sahara Desert. These are two contrasting winds whose directions of flow are opposite and their meeting point at the surface is commonly referred to as the ITD. Rains bearing active weather zones are located about 400 or 500 km south of the ITD. Annual migration of the ITD is sun synchronous. 12 Thus, four periods could be attributed to the migration of the ITD. In the months of February, March and April, a pre-monsoon period is established when the ITD migrates from its southernmost position on an annual journey to the north. The months of May, June and July mark the period when the monsoon is established from the south up to latitude 10 o N. However, in August, the ITD reaches its northernmost position creating a dry season zone over the south. Between September, October and November, the ITD retreats at a faster rate back to the south producing a second rainfall maximum over the south and finally, in December and January, and sometimes extending to March over the north, a period of Harmattan is established when the dry and dusty north-easterly winds predominantly cover the entire region. 13 The forest zone receives more rain than other zones because rainfall decreases from south to north over the region, therefore the woodland and grassland savannas are more susceptible to bush burning and about 75% of the region's crop planting takes place in these zones.

In West Africa, high population areas are concentrated in urban areas, usually the capital or commercial cities with few industries. 14 However, lack of organized transportation systems in cities has led to a surge in poorly maintained second-hand buses, cars and motorcycles that emit a large quantity of smoke into the environment. The poor road network also contributes to pockets of traffic buildup and increasing elevated emission levels. A higher percentage of farmers in West Africa live in rural areas where they practice subsistence agriculture. This leads to uncontrolled biomass burning, a potent source of NO 2 emissions in the region.

Air quality over West Africa is becoming increasingly poor with respect to NO 2 emissions, along with other air pollutants such as tropospheric ozone (O 3 ). 15 The increasing positive trend over major cities in West Africa is an indication of the deterioration of air quality in the region. The major implication of worsening air quality is the effect of pollution on human health. Exposure to NO 2 over a longer period Research of time has been linked with severe health issues such as hypertension, diabetes, and heart and cardiovascular diseases. 16 These health conditions are particularly grave in elderly patients. High fatality rates due to COVID-19 have been reported among people with pre-existing health conditions. For example, Ogen reported that areas that are susceptible to poor air quality as result of high concentrations of NO 2 over northern Italy and Madrid recorded high fatalities due to COVID-19. 16

Meteorological variables such as temperature, wind, humidity, cloud cover, solar radiation and rainfall play a significant role in the transformation of pollutants released into the atmosphere. These variables determine the accumulation or dispersion of pollutants from the point of release to the final state of dry deposition or wet scavenging. 17 Thus, air quality over a region could degenerate or improve as a result of the prevailing weather. Changes in meteorological variables also determine the stability of the atmosphere. 18 Atmospheric stability, which principally depends on temperature, is an important factor for ambient air quality. Generally, poor air quality is associated with stable atmosphere and vice versa. Song 

The Aura satellite provides a comprehensive global dataset of atmospheric gaseous pollutants such as NO 2 , O 3 and SO 2 , which has made space-view assessment of pollution possible. Nitrogen dioxide, in particular, has a very short life span of about one day, 21 and therefore has the highest column density near emission sources. This assists in the detection and characterization of pollutants using space borne instruments. It has also been reported that NO 2 vertically integrated profiles are highly correlated with surface observations, making the dataset a suitable alternative over data-sparse locations. 22 Data captured by the ozone measuring instrument (OMI) onboard the Aura satellite are retrieved using the differential optical absorption spectroscopy (DOAS) technique in the visible region (405-465 nm) of the electromagnetic spectrum. 23 Corrections to the retrieved data included vertical integration of NO 2 distribution and weighing with altitude-dependent scattering weighting factors. In addition, the retrieved data are considered valid only when cloud cover is between 0-30%. Ozone measuring instrument NO 2 data has been validated by several authors either by comparing data with similar satellite sensors, 23 or by in situ data. 24 Both ERA-interim and ERA5 reanalysis datasets are produced by the ECMWF; they have high resolution strength. 24 The ERA5 is an improvement to the ERAinterim in terms of temporal resolution and data assimilation. 32 The ERA5 dataset has added ensemble data which was not available in the ERA-interim. 33 We have made use of vertically integrated moisture flux and CAPE data from the ERA-interim because they are not yet available in the ERA5.

A coefficient of correlation extracts the relationship between two variables and shows the direction of variation between the variables. The Pearson coefficient of correlation (r) given in Equation 2 has been used to determine the influence of some weather variables (precipitation, wind speed, soil moisture and air temperature), on production or otherwise of NO 2 . The r indicator varies from -1 to 1, where a value of +1 is total positive (both variables are increasing or decreasing together), linear correlation, 0 is no linear correlation (both variables do not vary together), and −1 is total negative linear correlation (one the variables is decreasing while other is increasing). Values can range from -1 to +1. The greater the absolute value of the correlation coefficient, the stronger the relationship. The extreme values of -1 and 1 indicate a perfectly linear relationship where a change in one variable is accompanied by a perfectly consistent change in the other where and are any two variables.

Furthermore, the Mann-Kendall statistic was used to determine the trend in NO 2 over some selected locations that are prone to poor air quality due to their location, or status as capital cities or commercial hubs in the region. The Mann-Kendall statistic is a non-parametric tool for detecting monotonic trends in a series of environmental, climatic or hydrological data. 34 Using the statistic, a null hypothesis H o postulates that the data comes from a population with independent realizations and are identically distributed. The alternate hypothesis, H A , is that the data follow a monotonic trend. The Mann-Kendall test statistic is calculated according to Equations 3-6:

where

the mean of S is E[S]=0 and the variance σ 2 is

where p is the number of the tied groups in the data set and t j is the number of data points in the jth tied group. The statistic S is approximately normal distributed provided that the following Z-transformation is employed:

Results

The mean annual and seasonal long-term (2004-2017) climatology variation of NO 2 is presented in Figure  2 . 

Research of about 2.2x10 15 molec/cm 2 ) are about 50% of December, January, February values. It can be deduced therefore that the majority of NO 2 pollution is emitted during the dry season when favorable conditions are present.

In Figure 3 , the two wind regimes are indicated by wind vectors overlain on convective available potential energy (CAPE) and integrated moisture divergence for both the dry and wet periods. The southwesterly portion of the wind flow is characteristically weak during the dry season and only predominant over the ocean and part of the coastal area in contrast to northeasterly flows which are strong and occupy greater space over the region. The surface meeting point of these wind systems is an area of discontinuity where the vorticity is equal to zero. The two winds are the sweeping factors that gather emissions from sources and accumulate it over the area of discontinuity. Therefore, the location of the point of discontinuity determines the band of the highest NO 2 concentrations. During the wet period, the band of highest NO 2 concentrations shifts northward because northbound southwesterly winds are stronger due to increasing trailing moisture. Located about 500 km to the south of the area of discontinuity is a zone of active weather indicated by a high CAPE zone at the rear of the discontinuity area during both the dry and wet periods. 35 Vertical moisture divergence shown in Figure 3c indicates the moistening of the land surface and boundary layer for moisture buildup and cloud development. The dry period shows patches of moisture flux divergence over the forest zone, however there is widespread moisture divergence during the wet season.

Oluleye Variations in Nitrogen Dioxide over West Africa

The relationship between moisture flux and NO 2 concentration is further explored in the next section using the correlation coefficient between soil moisture and NO 2 pollution level. The latitudinal shift of the heavily polluted band is shown with the aid of a Hovmöller diagram in Figure 4 . The south-most position of the core is around 4 o N in December, January, February while the north-most position is about 16 o N in June, July, August

Some environmental factors affect or enhance the production or reduction of NO 2 such as wind, soil moisture, temperature, and rainfall, etc. The relationship between these factors and NO 2 was quantified by the coefficient of correlation (r), and the results are presented in Figure 5a (NO 2 and precipitation), Figure 5b (NO 2 and surface wind speed), Figure 5c (NO 2 and soil moisture) and Figure  5d (NO 2 and air temperature). The coefficient of correlation between NO 2 and precipitation ranged from -0.5 to +0.5 over different locations of the region and during different seasons. Much of the precipitation which is accompanied by lightning strikes occurs during the wet season and is known to enhance NO 2 production especially in the upper troposphere. 5 Consequently, during the wet season more upper tropospheric NO 2 is produced. During the wet season the relationship between NO 2 and precipitation is positive and could reach about +0.5 in some locations.

In the northern part of the region, thunderstorms embedded in tall clouds account for over 80% of precipitation, consequently NO 2 has a good correlation with precipitation in that part of the region. During the dry season, lightning as a source of NO 2 is completely absent and the r between NO 2 and precipitation is reduced to -0.5 over some locations. The correlation coefficient between NO 2 and surface wind shows negative values (up to -0.6) over the central part of the region. The central region has been shown to have very high NO 2 concentrations due to near zero wind speeds, therefore decreasing wind speeds enable accumulation of the pollutant.

Soil moisture also showed a good correlation coefficient with NO 2 concentration. Over the central part of the region, decreasing soil moisture enhances NO 2 production. Therefore, increasing soil moisture results in elevated NO 2 concentrations during the wet season; accordingly, NO 2 concentrations showed a positive correlation over the northern part of the region. The coefficient of correlation between air temperature and NO 2 concentrations also show a bipolar signal. Over the central part, high temperature favors the production of NO 2 , resulting in a positive correlation. Negative correlations are also observed over the southern part of the region. It was observed that daytime air temperature (annual average of 35 o C) in the central and northern parts of the region is higher by a few degrees than the south (annual average 32 o C).

The trend of NO 2 over some of these major cities is examined and presented in Figure 6 (a-e). The trend over the cities showed a period of peak (high) concentrations alternating with a period of low concentration. The peak periods occur when sources of production of NO 2 are actively strong with favorable weather conditions for pollution accumulation. Of the five cities considered, Lagos, a coastal city, exhibits the highest concentration during the peak periods. Accra, another coastal and commercial city similar to Lagos showed a high value of NO 2 during the peak period. However, unlike Lagos, Accra showed evidence of reduced values during the peak period from 2009 onward. As noted in a previous figure (Figure  2) , the area cutting across the south of Ghana and extending to Liberia is less polluted during both wet and dry seasons.

Over Bamako, Dakar and Niamey, the NO 2 trend showed an increasing value during the peak period. The trend equations of NO 2 over the selected cities are shown in Table 1a . The trend equation revealed a growing rate of NO 2 pollution over the cities, with the fastest rate found in Dakar. The results of the Mann-Kendall statistic as shown in Table 1b also revealed an increasing upward trend of NO 2 in all of these cities with statistically significant trends at a p-value of less than α= 0.05. In addition, Lagos had the highest monthly average maximum values, while Niamey had the lowest monthly average value of 9.53x10 13 molec/m 2 .

In West Africa, as shown in Table 2 , the highly populated and polluted area of Lagos, Nigeria experienced a high fatality rate due to COVID-19. Although a one-on-one relationship between COVID-19 and NO 2 pollution is not yet established from any reported studies, recent studies, however, have shown that regions of the world that are heavily polluted recorded high fatality rates for COVID-19. 36 As the trends of NO 2 increased over major cities in West Africa, the population in these cities is vulnerable to health hazards caused by air pollution which may result into high cases of air pollutionrelated diseases capable of weakening 

Research the immune system ( Figure 6 ). 37 A population with a low immune system is highly vulnerable to mortality due to pandemics such as COVID-19. This was demonstrated in the case of northern Italy where pre-existing health conditions contributed to high fatality rates for COVID-19. 36,38,39

In West Africa, the impact of increasing population on the region's air quality is still not well researched due to the lack of data measurements and therefore, sources of pollution are not well regulated. This has raised the level of air pollution over the region. Nitrogen dioxide as a major air quality criteria pollutant was examined using data available from satellite measurements. It should be noted that satellite measurements have both advantages and limitations as a means of measuring ground level pollution. The major advantage of satellite measurements includes large area data coverage and continuous measurements, among others.

Limitations of the measurements are that they exhibit biases due to algorithms designed for data retrieval and missing data because of swath coverage. In West Africa, the lack of measurements from groundbased instruments has created a wide research gap in the field of air Along the coastal zone, there is a high coefficient of correlation between air temperature and NO 2 which is attributable to emissions from vehicles and oil and gas activities, since most of the region's commercial and capital cities which experience a high traffic volume and industrial activities are located along the coast. Major and capital cities are prone to a high level of pollution due to emissions from transportation, domestic cooking, burning of refuse, etc. Therefore, the strong NO 2 pollution signal over Lagos is a consequence of high population density, high traffic volume and petrochemical activities, among others. Similarly, two major factors could be responsible for reduced NO 2 observations over Accra; unfavorable climatic conditions for pollution accumulation or efficient control of production factors such as reduction in burning or traffic emissions. Adedokun observed a characteristic strong influence of the descending branch of Walker circulation over Accra, which gives Accra and neighboring areas unusually dry weather compared to similar coastal locations. 43 The descending Walker circulation inhibits cloud growth, enhances divergence at the surface and therefore produces less rain. Thus, it can be inferred that the same weather condition is responsible for de-accumulation of pollution over the area. Poor quality of air at a particular location over a long time, weakened immunity increases susceptibility to various diseases. The COVID-19 pandemic has demonstrated that cities with poor air quality experienced higher fatalities as a result of COVID-19, as in Italy and Spain. 44 In West Africa, Lagos, Nigeria, falls into the category of heavily polluted cities with high fatalities due to COVID-19.

Non-availability of ground station data made actual comparison of satellite pollution emissions data with in-situ data difficult over West Africa. It is therefore possible that emissions from certain locations may be underestimated or overestimated due to inaccurate satellite retrieval algorithms and/or unaccounted local sources of pollution.

Emissions of certain air pollutants such as NO 2 are a major determinant of air quality in a particular location. The present study examined the spatio-temporal spread of NO 2 concentrations in West Africa for both the wet and dry seasons. The highest annual concentration of NO 2 is found in the vicinity of the inter-tropical discontinuity zone, where wind speeds are typically low and horizontal vorticity is zero. The source of NO 2 strength over the region varies with season and local emissions. Typical sources of emissions are mainly agricultural, vehicular, and industrial emissions and bush burning. In the present study, the movement of the ITD line from south to north during the transition period from dry to the wet season corresponds to the southnorth shift of the region's air pollution hot spots. The worst episode of pollution in the region occurs during the dry season when bush burning is at the peak and ITD temporarily become stationary over the southern part. This period also coincides with the peak of hospitalization for air pollutionrelated diseases such as cough and sore throat. The temporal trend of NO 2 in some selected cities showed increasing pollution between 2004 and 2017 (study period). This increasing trend may lead to increasing air pollutionrelated hazards, deteriorating human health and impact immunity of the population living in hot spot cities. The implications of increasing pollution were discussed in relation to human health. Areas prone to elevated air pollution were found to have a record of high COVID-19 fatalities due to weakened immunity which indicated that the increasing trend of pollution over West Africa poses a risk to public health and increases vulnerability to mortality due to pandemics such as COVID-19.

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The author appreciates the efforts of the European Union seventh framework (FP7) under the Quality Assurance for Essential Climate Variables (QA4ECV) project for making improvements in NO 2 data available in the public domain. Data for this work are publicly available