Indicators of Climate Change, Geospatial and Analytical Mapping of Trends in India, Pakistan and Bangladesh: An Observational Study

The year 2022 has served as a recall for the impact that climate change has in the South Asian region, which is one of the most vulnerable regions to climate shock. With a paucity of climate-based and geospatial observational studies in South Asia, this paper (i) links power sectors and carbon dioxide emissions, (ii) maps nitrogen dioxide density across three countries (Pakistan, India, and Bangladesh), (iii) understands electricity generation trends and projects weather changes through 2100. We monitored data monitored between 1995 and 2021. The following databases were used: the International Energy Agency, the World Bank, the UN Food and Agricultural Organization. Raw data was obtained for climate indicators, which were entered into Microsoft Excel. Geospatial trends were generated in the ArcGIS geostatistical tool by adopting the ordinary kriging method to interpolate and create continuous surfaces depicting the concentration of nitrogen dioxide in the three countries. We found increased usage of coal and fossil fuels in three countries (Pakistan, India, and Bangladesh). Both were significant contributors to carbon dioxide emissions. The geographic localities in South Asia were densely clouded with nitrogen dioxide as reported with the tropospheric column mapping. There are expected to be increased days with a heat index >35 °C, and consecutive dry days from 2020 and 2100. We also found increased chances of flooding in certain regions across the three countries. This study monitored climate change indicators and projects between 1995 and 2100. Lastly, we make recommendations to improve the relationship of the environment and living beings.


Introduction
The year 2022 has served as a recall of the World Bank's prior warnings about climate change in the South Asian region since the onset of the 21st century [1][2][3][4][5]. The floodings in Pakistan have led to a humanitarian crisis where nearly 2000 residents faced death and 33 million (15% of the population) were homeless [6,7]. In Pakistan, nearly $40 billion worth of damages were noticed and four million hectares (ha) of diverse agricultural land were lost [6,7]. On the other hand, regions in India including Uttar Pradesh and West Bengal witnessed severe rainfall deficits, whilst flooding occurred in Andhra Pradesh, Madhya Pradesh, and Maharashtra [8,9]. Typically, the four months of monsoon that South Asia witnesses provide 80% of the annual rainfall. However, with climate change accelerating the water cycle, certain provinces and cities have seen 400-500% more rainfall than the anticipated yearly average [10,11]. Furthermore, air pollution has spanned New Delhi, Lahore, and Dhaka, leading to severe air disasters impacting the general health of understand the power sector and all energy generation trends in the region, and lastly to project weather changes throughout the 21st century.

Materials and Methods
The data utilized for this study was monitored between the years (1995-2021) and the trends estimates were made until the year 2100 among three South Asian countries (Pakistan, India, and Bangladesh) with world estimates used for comparative purposes. This observational study obtained data from international and national data banks in addition to governmental and non-governmental websites. These included: Ember Climate Open-Source Data (https://ember-climate.org/data/data-explorer/, accessed on 11 November 2022), and datasets by the UN Food and Agriculture Organization (FAO). (https://fra-data.fao.org/, accessed on 11 November 2022) for deforestation and agricultural data sourced from the UN FAO Forest Resources Assessment. The International Energy Agency (IEA) database (https://www.iea.org/, accessed on 11 November 2022) was utilized for power sector capacities and the growth of renewable energy generation by region and technology. The World Bank's Climate Change Knowledge Portal (https://climateknowledgeportal.worldbank.org/, accessed on 11 November 2022) was utilized for country-specific drought, dry days, and consecutive hot days outcomes.
We collected raw and ready-to-analyze data for all three countries (Pakistan, India, and Bangladesh) for climate indicators and stipulated trends with the latest trends until 2021 and no backend to the inception of data. Air pollution was reported in terms of CO 2 emissions and nitrogen dioxide tropospheric levels with AQI indicators. Furthermore, the current state of climate control was measured with geospatial and analytical mapping of deforestation, agricultural land per capita, and 'hot spots' of nitrogen dioxide in the region. The Geographic Information System (GIS) tool was used to generate spatially distributed air pollution maps in India, Pakistan, and Bangladesh. In order to map the pollution levels using nitrogen dioxide, the ArcGIS geostatistical analysis tool was used due to its ability to handle wide data formats and layers in digital maps using frameworks of spatio-temporal analysis. The ordinary kriging method was adopted to interpolate and create continuous surfaces from the database of measured concentration across the locations [41,42]. Further analysis was conducted to ascertain the usage of different energy types in the power sector and reliance on fossil and coal as modes of production. All data was entered into Microsoft excel and output plots were generated to depict the sequential trends in the various indicators.
Search terms combined with a Boolean methodology were comprised of "South Asia", "India", "Pakistan", "Bangladesh", "Power", "Emissions", "Carbon Dioxide", "Air Pollution", "Nitrogen Dioxide", "Agricultural", and "Deforestation". Data reports and repositories that addressed these areas were reviewed. The following is a list of key terminologies and verbiage used throughout this study: i.
Agricultural area per capita: Agricultural land is the total of land and cropland used as pasture for grazing livestock; ii. Deforestation: The permanent conversion of natural forest land to other uses including infrastructure development, settlements, and shifting cultivation; iii. AQI: The air quality index (AQI) scale measures the number of pollutants in a specific region at a selected time interval-to help assess the quality of air; iv. CO 2 : Carbon dioxide is a colorless greenhouse gas formed when any material containing carbon is combusted; v.
Coal: A brownish-black or black sedimentary rock that is typically burned for fuel to generate electricity; vi. Dry days: Days with rainfall <0.85 mm within a typically defined period of 24 h; vii. Fossil fuel: A class of hydrocarbon-containing materials of biological origin that can be used as a source of energy; viii. Heat index: An equation that combines relative humidity and air temperature to determine the perceived temperature; ix. kWh: A unit of energy, which means one kilowatt hour (kWh) of power; x.
Mean drought index (projected change, unitless): The standardized precipitation evapotranspiration index (SPEI), or mean drought index, calculated for a specific period, is closely related to drought impacts on ecosystems, water, and crop resources. The SPEI accounts for potential evapotranspiration and precipitation in determining drought; xi. Nitrogen dioxide tropospheric column: A two-dimensional field of the total amount of nitrogen dioxide molecules per unit area in an atmospheric column extending from the Earth's surface to the tropopause; xii. NO 2 : Nitrogen dioxide is a gaseous air pollutant composed of nitrogen and oxygen; xiii. NO x : Gases nitric oxide and nitrogen dioxide that is produced when fuel is burned; xiv. Power sector emissions: Emissions of gas or radiation into the atmosphere due to power sectors.
This study was exempt from Ethical Review Board committee approval given the secondary nature of the datasets and analysis.

Results
In this paper, we studied the indicators of climate change that ascertained both causation and effect. The first key aspect comprised the power sector's use of coal and fossil along with emissions of carbon dioxide. The second central finding related to the geographic mapping of areas with nitrogen dioxide tropospheric column mapping and indicators of the AQI; this was further supported by annual deforestation and agricultural area per capita in the region. Thirdly, power sector and electricity generation trends in India, Southeast Asia, and the world were extrapolated. Lastly, projected weather changes in the heat index (days surpassing 35 • C) and consecutive dry days until 2039, and the annual SPEI drought index for the years 2020-2100 were presented.  The electricity generated using coal was 3.2 Terawatt hours in 2018 and 9.98 Terawatt hours in 2021 in Bangladesh [43]. On the other hand, in India, there was a rise from 1198.86 Terawatt hours in 2018 to 1271.14 Terawatt hours in 2021 [43]. Pakistan witnessed a steady rise from 8.53 Terawatt hours to 13.93 Terawatt hours in 2021 [43] (Figure 3).
On assessing the energy generated using fossil, Bangladesh generated 72.57 Terawatt hours in 2018 and 82.52 Terawatt hours in 2021 [43]. In India, there was a rise from 1276.32  The electricity generated using coal was 3.2 Terawatt hours in 2018 and 9.98 Terawatt hours in 2021 in Bangladesh [43]. On the other hand, in India, there was a rise from 1198.86 Terawatt hours in 2018 to 1271.14 Terawatt hours in 2021 [43]. Pakistan witnessed a steady rise from 8.53 Terawatt hours to 13.93 Terawatt hours in 2021 [43] (Figure 3).
On assessing the energy generated using fossil, Bangladesh generated 72.57 Terawatt hours in 2018 and 82.52 Terawatt hours in 2021 [43]. In India, there was a rise from 1276.32 The electricity generated using coal was 3.2 Terawatt hours in 2018 and 9.98 Terawatt hours in 2021 in Bangladesh [43]. On the other hand, in India, there was a rise from 1198.86 Terawatt hours in 2018 to 1271.14 Terawatt hours in 2021 [43]. Pakistan witnessed a steady rise from 8.53 Terawatt hours to 13.93 Terawatt hours in 2021 [43] (Figure 3). Terawatt hours of production in 2018 to 1337.63 Terawatt hours in 2021, with a decrease in 2020 (1202.34 Terawatt hours) [43]. Similarly, Pakistan presented a rise from 66.29 to 71.81 Terawatt hours of energy generation between 2018 and 2021 with a decrease in 2020 (64.47 Terawatt hours) [43] (Figure 3).

Geospatial Map of Low Air Quality Hot Spots in South Asia
With the geospatial map generated on 8 November 2022, densely polluted air localities were mapped in South Asia ( Figure 4). Data sources comprised the European Commission, European Space Agency, Esri, and the UKRI GCRF South Asian Nitrogen Hub, [44,45]. A key summary of trends obtained is as follows: On assessing the energy generated using fossil, Bangladesh generated 72.57 Terawatt hours in 2018 and 82.52 Terawatt hours in 2021 [43]. In India, there was a rise from 1276.32 Terawatt hours of production in 2018 to 1337.63 Terawatt hours in 2021, with a decrease in 2020 (1202.34 Terawatt hours) [43]. Similarly, Pakistan presented a rise from 66.29 to 71.81 Terawatt hours of energy generation between 2018 and 2021 with a decrease in 2020 (64.47 Terawatt hours) [43] (Figure 3).

Geospatial Map of Low Air Quality Hot Spots in South Asia
With the geospatial map generated on 8 November 2022, densely polluted air localities were mapped in South Asia ( Figure 4). Data sources comprised the European Commission, European Space Agency, Esri, and the UKRI GCRF South Asian Nitrogen Hub, [44,45]. A key summary of trends obtained is as follows:

Map Representing Annual Deforestation between 2015 and 2020 in South Asia
Deforestation does not indicate net forest loss but also accounts for any gains in the forest over the given time period. Since 2010, the net forest loss worldwide was 4.7 million ha per year, however, the deforestation rates were higher [46] ( Figure 5). It is estimated that the cumulative deforestation was 10 million ha every year since 2010 [46]. Rated at six scale points (1 = 0-10,000 ha; 2 = 10,000-50,000 ha; 3 = 50,000-100,000 ha; 4 = 100,000-500,000 ha; 5 = 500,000-1 million ha; 6= >1 million ha), India was scaled 5 with, 668,400 ha lost per year [46]. While no data was indicated for Pakistan, Bangladesh was scaled at 2, with 18,190 ha lost per year [46].

Map Representing Annual Deforestation between 2015 and 2020 in South Asia
Deforestation does not indicate net forest loss but also accounts for any gains in the forest over the given time period. Since 2010, the net forest loss worldwide was 4.7 million ha per year, however, the deforestation rates were higher [46] ( Figure 5). It is estimated that the cumulative deforestation was 10 million ha every year since 2010 [46]. Rated at six scale points (1 = 0-10,000 ha; 2 = 10,000-50,000 ha; 3 = 50,000-100,000 ha; 4 = 100,000-500,000 ha; 5 = 500,000-1 million ha; 6= >1 million ha), India was scaled 5 with, 668,400 ha lost per year [46]. While no data was indicated for Pakistan, Bangladesh was scaled at 2, with 18,190 ha lost per year [46].

Map Depicting Agricultural Area per Capita in 2018 across South Asia
The worldwide peak of deforestation was witnessed in the 1980s and has declined ever since. Since 1961, the agricultural land has increased by 7% whereas the global population has increased by 147% during the same period, reaching 7.6 billion people; this means that the agricultural land per individual has more than halved from 0.63 ha to 1.45 ha [46]. Int. J. Environ. Res. Public Health 2022, 18, x FOR PEER REVIEW 8 of 18

Map Depicting Agricultural Area per Capita in 2018 across South Asia
The worldwide peak of deforestation was witnessed in the 1980s and has declined ever since. Since 1961, the agricultural land has increased by 7% whereas the global population has increased by 147% during the same period, reaching 7.6 billion people; this means that the agricultural land per individual has more than halved from 0.63 ha to 1.45 ha [46].

Power Sector and Electricity Generation Trends in India and the World
Across the world, the annual growth of wind renewable energy generation in 2019 was 149 TWh, with India generating 2 TWh and Southeast Asia generating the lowest at 1 TWh in the same year [47] (Figure 7). On reviewing solar PV trends, the world had a growth of 131 TWh, with India at 10 TWh and Southeast Asia at 4 TWh [47]. Hydro energy growth across the world was 102 TWh, with India at 23 TWh and Southeast Asia at 4 TWh [47].
While bioenergy was growing at 50 TWh in 2019, India contributed to negative 3 TWh and Southeast Asia generated 2 TWh [47]. The 10-year average in Southeast Asia was 18 TWh, which was not comparable to the world (331 TWh) [47] (Figure 7).

Power Sector and Electricity Generation Trends in India and the World
Across the world, the annual growth of wind renewable energy generation in 2019 was 149 TWh, with India generating 2 TWh and Southeast Asia generating the lowest at 1 TWh in the same year [47] (Figure 7). On reviewing solar PV trends, the world had a growth of 131 TWh, with India at 10 TWh and Southeast Asia at 4 TWh [47]. Hydro energy growth across the world was 102 TWh, with India at 23 TWh and Southeast Asia at 4 TWh [47]. While bioenergy was growing at 50 TWh in 2019, India contributed to negative 3 TWh and Southeast Asia generated 2 TWh [47]. The 10-year average in Southeast Asia was 18 TWh, which was not comparable to the world (331 TWh) [47] (Figure 7).  [48]. While solar PV power capacity addition was negligent in 2010, the generation rose to 9.3 GW in 2019 [48]. With a continual rise in wind and solar usage, the total capacity increased from 6.7 GW in 2010 to 18.2 GW in 2019 (an estimated 18% of the total power sector capacity) [48] (Figure 8).  [48]. While solar PV power capacity addition was negligent in 2010, the generation rose to 9.3 GW in 2019 [48]. With a continual rise in wind and solar usage, the total capacity increased from 6.7 GW in 2010 to 18.2 GW in 2019 (an estimated 18% of the total power sector capacity) [48] (Figure 8). The heat index measures apparent temperature which includes the influence of atmospheric moisture [49]. High temperature with high moisture leads to high heat indexes. With this, a mapping of the number of days where the heat index surpasses 35 °C during

Projected Changes in Weather Conditions from 2020-2100 3.4.1. Heat Index Surpassing 35 • C Projections
The heat index measures apparent temperature which includes the influence of atmospheric moisture [49]. High temperature with high moisture leads to high heat indexes. With this, a mapping of the number of days where the heat index surpasses 35 • C during the data aggregation period [49]. The heat index also covers the seasonal heat risks and changing seasonal heat risks over time [49]. In this section, a collation of findings is presented for the years 2020-2029 [49].
In key regions across Pakistan, the number of days with a heat index >35 • C comprised Sindh (140.6 days), Punjab (108.33 days), and Baluchistan: 49.62 days (Figure 9).

Heat Index Surpassing 35 °C Projections
The heat index measures apparent temperature which includes the influence of atmospheric moisture [49]. High temperature with high moisture leads to high heat indexes. With this, a mapping of the number of days where the heat index surpasses 35 °C during the data aggregation period [49]. The heat index also covers the seasonal heat risks and changing seasonal heat risks over time [49]. In this section, a collation of findings is presented for the years 2020-2029 [49].
In key regions across Pakistan, the number of days with a heat index >35 °C comprised Sindh (140.6 days), Punjab (108.33 days), and Baluchistan: 49.62 days (Figure 9). Across

Consecutive Dry Days Projections
Dry days are defined as any days where the daily accumulated precipitation is less than 1 mm. The indicator represents the maximum length of dry spells that are computed sequentially for the entire time series and takes into account the maximum value each month during the data period. Consecutive dry days aid us in understanding the changing precipitation patterns and the changing periods of aridity for the location. The identified national units reflect the trends for the projected period until 2039 [49] (Figure 10).
Dry days are defined as any days where the daily accumulated precipitation is less than 1 mm. The indicator represents the maximum length of dry spells that are computed sequentially for the entire time series and takes into account the maximum value each month during the data period. Consecutive dry days aid us in understanding the changing precipitation patterns and the changing periods of aridity for the location. The identified national units reflect the trends for the projected period until 2039 [49] (Figure 10).

Projected Annual SPEI Drought Index Until the Year 2100
Drought can be expressed in multiple ways from simple precipitation deficits to complex estimates of remaining soil moisture. The SPEI is used as a global measure for drought monitoring over cumulative time intervals. Positive values are indicative of positive (or wet) water balance conditions, whereas negative values are indicative of negative (or dry) water balance. SPEI in this study is used to determine the onset, duration, and magnitude of drought conditions with respect to normal conditions of natural and managed systems including rivers, crops, ecosystems, and water resources [49].
Overall, Pakistan represented seemingly downward trends (negative) over the course of the estimated time period, meaning that the water balance was to be dry [49]. India represented overall static trends as compared to the reference period (1995-2014), meaning that while there were dry and water spells, overall, there were no large fluctuations in estimates [49]. On the other hand, Bangladesh showcased an upwards (positive) trend over the estimated time period where water spells were of note [49] (Figure 11).

Projected Annual SPEI Drought Index until the Year 2100
Drought can be expressed in multiple ways from simple precipitation deficits to complex estimates of remaining soil moisture. The SPEI is used as a global measure for drought monitoring over cumulative time intervals. Positive values are indicative of positive (or wet) water balance conditions, whereas negative values are indicative of negative (or dry) water balance. SPEI in this study is used to determine the onset, duration, and magnitude of drought conditions with respect to normal conditions of natural and managed systems including rivers, crops, ecosystems, and water resources [49].
Overall, Pakistan represented seemingly downward trends (negative) over the course of the estimated time period, meaning that the water balance was to be dry [49]. India represented overall static trends as compared to the reference period (1995-2014), meaning that while there were dry and water spells, overall, there were no large fluctuations in estimates [49]. On the other hand, Bangladesh showcased an upwards (positive) trend over the estimated time period where water spells were of note [49] (Figure 11).

Discussion
In this study, we reported indicators of four key areas of interest as described in Figure 12. These include (i) the power sector's use of fossil and coal, and carbon dioxide emissions; (ii) nitrogen dioxide tropospheric column mapping and air quality; (iii) electricity generation sources and trends; (iv) projected weather changes for heat and extreme weather conditions.

Discussion
In this study, we reported indicators of four key areas of interest as described in Figure 12. These include (i) the power sector's use of fossil and coal, and carbon dioxide emissions; (ii) nitrogen dioxide tropospheric column mapping and air quality; (iii) electricity generation sources and trends; (iv) projected weather changes for heat and extreme weather conditions. A study by Rehman and colleagues (2022) analyzes the impact of electricity production from sources including coal, nuclear, natural gas, and oil and the impact on carbon dioxide emission using annual series data between 1975 and 2020 [50]. It is ascertained through a nonlinear autoregressive distributed lag technique, applied to study the influence of electrical energy on CO2 that emissions in Pakistan have faced negative shocks [50]. Another analytical study by Raza and colleagues (2022) employs the decoupling and decomposition methods in the driving factors of CO2 emissions due to electricity generation between 1990 and 2019 [51]. The findings suggest that the population and activity effect are key driving factors in the rising CO2 emissions; further, a correlation to activity, total electricity, electricity intensity, generation structure of electricity, the efficiency of energy, and the fuel emission factor effect were witnessed [51]. It has been considered essential to focus on all the aforementioned factors' decoupling states to limit CO2 emissions [51]. However, nearly 84% of Pakistan's energy demand relies on fossil fuel, which has contributed to rising CO2 emissions by 133.4 metric tons between 1990 and 2019 [52].
India is the second most populous country on earth and one of the most rapidly growing economies; the social and economic development has been largely subsidized due to ample and cheap fossil fuels [53]. The emission trends for pivotal greenhouse gases, including CO2 and other critical air pollutants, are expected to increase by 147% by 2025; this rapid increase is allocated to industrial development, which is followed by demand from agricultural and domestic sectors [54]. While the United States has historical significance in the consumption of coal, China and India together consumed 60% of the world's primary coal in 2016 [55]. One reason is that coal power plants in India are at a considerably nascent age compared to high-income countries, thus allowing more useable life [55]. Together, India, China, and the United States account for 91% of the world's coal A study by Rehman and colleagues (2022) analyzes the impact of electricity production from sources including coal, nuclear, natural gas, and oil and the impact on carbon dioxide emission using annual series data between 1975 and 2020 [50]. It is ascertained through a nonlinear autoregressive distributed lag technique, applied to study the influence of electrical energy on CO 2 that emissions in Pakistan have faced negative shocks [50]. Another analytical study by Raza and colleagues (2022) employs the decoupling and decomposition methods in the driving factors of CO 2 emissions due to electricity generation between 1990 and 2019 [51]. The findings suggest that the population and activity effect are key driving factors in the rising CO 2 emissions; further, a correlation to activity, total electricity, electricity intensity, generation structure of electricity, the efficiency of energy, and the fuel emission factor effect were witnessed [51]. It has been considered essential to focus on all the aforementioned factors' decoupling states to limit CO 2 emissions [51]. However, nearly 84% of Pakistan's energy demand relies on fossil fuel, which has contributed to rising CO 2 emissions by 133.4 metric tons between 1990 and 2019 [52].
India is the second most populous country on earth and one of the most rapidly growing economies; the social and economic development has been largely subsidized due to ample and cheap fossil fuels [53]. The emission trends for pivotal greenhouse gases, including CO 2 and other critical air pollutants, are expected to increase by 147% by 2025; this rapid increase is allocated to industrial development, which is followed by demand from agricultural and domestic sectors [54]. While the United States has historical significance in the consumption of coal, China and India together consumed 60% of the world's primary coal in 2016 [55]. One reason is that coal power plants in India are at a considerably nascent age compared to high-income countries, thus allowing more useable life [55]. Together, India, China, and the United States account for 91% of the world's coal production. The Indian subcontinent in particular is a large drive of coal and fossil demand with the idea of modernizing and industrializing the countries [55,56].
Bangladesh is an emerging economy, which largely generates electricity using coal. Electricity consumption increased by 526% between 2000 and 2021 [57][58][59], which was higher the other countries with similar economic development including Sri Lanka (79%) or Nigeria (94%) [57]. Based on historical trends, electricity consumption per capita may increase by 22 times by 2050, compared to in 2014 [60]. The country has been dominated by fossil fuel since 1971. However, despite the increased demand for electricity, the power generation sector cannot meet the demand of the population due to load shedding. Furthermore, Bangladesh is one of the top five countries for global coal and gas power projects in development as per the Global Energy Monitor [61]. In 2022, an estimated 20 GW of new, coal and gas-based power projects are under construction in southeastern Bangladesh in Chattogram [62]. Together, the power-based coal and fossil projects in the country have enabled carbon dioxide and other pollutants to rise in the region [63].
Studies find that among the numerous air pollutants, nitrogen oxides and pollutants such as lead and sulfur dioxide are major concerns in the Indian subcontinent [64,65]. As our study depicts in the GIS map, NO 2 presence in the troposphere is a central factor that determines the quality of air and impacts human health and plant growth. Furthermore, the AQI utilized in our study ties in with photochemical smog that has detrimental effects associated with the high NO 2 concentration [66,67]. An analysis determined that the many sources of NO 2 emission in India comprise 32% transportation, 50% industrialization, and 10-20% accounted by the biomass burning sectors [68].
Comparable with the findings of reduction during the early 2020 period of CO 2 emissions and improvement in air quality, Pakkattil et al. (2021) reported 82% reductions in volatile organic compounds across major metropolitan cities in India compared to the prelockdown period [69]. COVID-19-related restrictions were documented to have reduced particulate matter and trace gas concentrations worldwide. A temporal comparison of ozone monitoring instruments obtained NO 2 column density during the lockdown period in India with counterfactual baseline concentrations of NO 2 between 2015 and 2019 [70]. The NO 2 concentration in urban areas of Delhi declined by 60% in phase 1 of the lockdown and was reduced by 3.4% during the fifth phase. However, no reductions were noted in rural areas. With NO x emissions estimated using the TROPOspheric Monitoring Instrument (TROPOMI), urban Delhi and power plants in the region presented with an average decline of 72.2% and 53.4% [71]. A shortcoming of this technique is the lack of accounting for photochemical and dynamical conditions; these must be addressed by optimizing emission inventories.
The global impact of air pollution is estimated to have reached 7 million deaths per year due to exposure to household and outdoor air pollution. The common cause of death has been linked to lung cancer, as well as both acute respiratory diseases such as asthma and chronic pulmonary disease, heart disease, and stroke [72]. In 2019 alone, 1.67 million premature deaths occurred due to air pollution, whereas Pakistan had 236,000 deaths and Bangladesh saw 174,000 deaths. The World Health Organization has continued to emphasize the crucial the role of air pollution as a non-communicable disease, which is currently the second largest indicator following tobacco smoking. There are 4 billion people in the Asia and Pacific region, and 92% of the population that experience air pollutants at increased levels. The Organization for Economic Co-operation and Development (OECD) also reported that the gross domestic product across different economies in Asia will face a reduction by 1-2.5% due to air pollution [73].

Recommendations
A national policy across the three countries is recommended to focus on numerous action plans as listed. These include but are not limited to establishing a consensus between state-and nation-wide bodies on transportation and transboundary pollution [74]. Stringent emissions and air-control policies in accordance with institutional frameworks and with regulatory compliance are necessary. Furthermore, the design and standards of vehicles ought to focus on low emissions and/or hybrid types. The public and private sectors ought to establish working groups to account for industrial power-based and automobile emissions. The stakeholder groups must link with the public health sectors and agricultural committees.
A replication of the self-monitoring and reporting (SMART) program as seen in the Pakistani industrial sector in March 2006, maybe reverse-engineered in other South Asian countries [75]. Technical assistance protocols may aid in mitigating cross-boundary multifactorial effects of air pollution. The South Asian Association for Regional Cooperation (SAARC) forum may be a possible central system for accounting for and controlling air pollution reduction and control in the region [76]. With imminent impacts on public health, population viability, and personal well-being, a call to action must be made to strengthen the framework of air pollution and reduction in South Asia with legally binding instruments [77][78][79]. This will allow and encourage national and regional governments to promote clean emissions and adequate allocation of finances with country budgets allocated to the purpose. The objectives would be to protect the ecosystem and human health by reducing air pollution (i.e., nitrogen oxides) targets [80].

Conclusions
This study monitored climate indicators and changes between 1995 and 2021 with estimates given until 2100. In summary, this study had four key areas of interest. The first included the power sector's use of fossil and coal in addition to carbon dioxide emissions. The second was to geographically map areas with high nitrogen dioxide tropospheric column along with reporting of AQI. The third was electricity generation and power sectors trends in the region compared to the world. The fourth was a projection of weather changes including the heat index and the annual SPEI drought index between the years 2020 and 2100.
We find that there is an urgent need to monitor and regulate power emissions, transportation usage, urbanization actions, and the adoption of renewable electricity generation in the region. While South Asia has been undergoing hastened economic and social development, the air quality and living standards of residents in the region has been decreasing due to heat waves, unexpected floodings, or in certain cases extreme rain. The symbiosis of living beings in the region, along with sources of food security (i.e., food security), are under threat. Not only international but national agencies have become aware of the contributors to climate change, but it is only with concerted actions in the SAARC region that progress may be made in the foreseeable future.  Data Availability Statement: All data utilized for the purpose of this study are available publicly and online in the enlisted databases.