Forman Journal of Social Sciences (FJSS) Volume 4, Issue 2 (December) 2024

ISSN: 2790-8437 (Online)

Homepage: https://www.fccollege.edu.pk/forman-journal-of-social-sciences/

 

Harnessing Solar Potential for Sustainable Development of Karachi-

Pakistan through Geo-Spatial Assessment

Fizza Ejaz1, Owais Iqbal Khan2, Anila Kausar3

  1. University of Karachi, Pakistan
  2. University of Karachi, Pakistan
  3. University of Karachi, Pakistan. Email: anilak@uok.edu.pk

(corresponding author)

 

ABSTRACT

 

Pakistan has the potential to produce renewable energy, which is critically needed in areas such as Korangi, a district in Karachi, Pakistan, that faces major challenges, such as rapid urbanization and pollution. In this study, Google Earth Pro was used to analyze solar panels' location using historical data from 2017. It was found that there are fewer solar panels in the industrial belt of Korangi. Korangi is situated in the southern part of the country, approximately 24.8 degrees north of the equator at latitude, which is relatively close to the equator, contributing to the high level of solar radiation and warm climate. Thus, this area is considered favorable for solar panels or energy production and 95 sampling locations were selected for the pollution assessment. Of these, 52 were those sites where solar panels are installed, and the remaining were at residential and commercial locations. Compared to 2017, the variables assessed in the existing research's pollutants are higher in the non-industrial zone (residential and commercial localities) for 2023. Air Quality Hazard zones are also found along the areas of conventional power generating plants. This study concludes with recommendations for city planners, policymakers, and energy professionals to frame appropriate strategies for Korangi-Karachi; which has implications for other regions in the country with potential for solar energy.

Keywords: Solar panel, Renewable energy, Green energy, Sustainability, GIS, Environmental pollution.

 

 

 

Citation: Ejaz, F., Khan, O. I., & Kausar, A. (2024). Harnessing solar potential for sustainable development of Karachi, Pakistan through geo-spatial assessment. Forman Journal of Social Sciences, 4(2). DOI: 10.32368/FJSS.20240429

Copyright: © The Authors; Licensing: This article is open access and is distributed under the term of Creative Common Attribution 4.0 International License.

 

 

 

1


INTRODUCTION

Pakistan has the potential to produce renewable energy. According to the World Bank, Pakistan’s current electricity demand would be met using just 0.071 percent of solar photovoltaic (solar PV) power generation (World Bank, 2020). On average, Pakistan receives approximately 1000 watts per square meter (W/m²) of solar energy for about 6 to 7 hours daily (Ulfat et al., 2012). The annual solar irradiance varies in different cities, some areas receive up to 4,459.15 kWh/m² annually, while others may receive as little as 7.65 kWh/m² (Adnan et al., 2012). The reliance on thermal sources, specifically oil and natural gas, poses numerous financial and environmental challenges for the country. Despite this, Pakistan utilizes oil, natural gas, and coal as fuel sources, and is largely based on thermal power plants to generate electricity. Thermal power, as of January 2024, accounts for around 62% of the total installed production capacity, transforming to about 28,811 MW out of a total capacity of 46,035 MW (Global Data, 2023). Radiation can also vary by geographical location, for instance, Islamabad, Karachi, and Lahore have been monitored for solar energy potential. Empirical models developed to estimate solar radiation on the behavior of local climate conditions reveal that Pakistan has various solar energy environments (Aggarwal, 2021).

Pakistan could generate over 2.9 million MW (megawatt) of solar energy. Despite having great potential in producing renewable energy using solar power, Pakistan has yet to fully tap this resource, contending with severe energy shortages, depending mainly on non- renewable sources. The energy shortage is projected to reach 50,000 MW by 2022, requiring urgent incorporation of renewable sources like solar power into the national grid (Latif et al., 2018). A boom in industrial activities in this area has been seen, with around 4,500 industrial units operating in the Korangi industrial area alone (Khalid et al., 2017). Korangi experiences high concentrations of particulate matter (PM10 and PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOx), and carbon monoxide (CO). These pollutants go beyond the levels set by the Sindh Environmental Protection Agency (SEPA) (Idress et al., 2023).

 


The Korangi power plant, particularly the Korangi combined cycle power plant, contributes to pollution, due to its reliance on fossil fuels for electricity generation. Korangi as a gas-fired power plant which emits pollutants such as sulfur dioxide (SO2) and nitrogen oxides (NOx), and are known to create environmental problems. While the production of solar panels involves energy-intensive materials and hazardous chemicals, the overall environmental impact is mitigated by the fact that solar energy systems can generate clean energy for up to 30 years, offsetting the initial energy and resource inputs within 1 to 4 years. Thus, regardless of the environmental costs associated with manufacturing and disposal, solar power remains a more sustainable and less polluting option compared to conventional electric power plants (U.S. Energy Information Administration, 2024). Karachi’s air is highly contaminated with a high value of Air Quality Index (Kausar et al., 2024). Korangi district in Karachi is the most affected area, mainly due to the concentration of PM2.5. The Sindh government has announced plans to provide solar systems to 200,000 households across the province, including 50,000 homes in Karachi. Access to low-cost loans and financial incentives can facilitate solar adoption (Haq et al., 2020).

Research Problem

 

An increased susceptibility of the country's dependence on energy imports puts upward pressure on electricity prices for consumers and enhances exposure to global commodity price volatilities (Voluntary National Review, 2019). Pakistan has been facing a shortage of between 3000 MW and 6000 MW within the supply and generation, subsequent in many hours of load- shedding. With Karachi facing frequent power outages and reliance on fossil fuels, scholars argue that the transition to renewable energy has the potential to reduce carbon emissions and improve energy security (Kalhoro et al., 2019). However, some barriers include poor rooftop utilization for solar panels, limited access to real-time solar radiation data, and encounters posed by urban density and planning (Kabir et al. 2018). Existing studies underline the critical

 


role of leveraging Geographic Information System (GIS) tools and satellite data to provide actionable visions for urban planners and other stakeholders to advance solar adoption in Karachi (Shahid et al., 2019).

Korangi district is the largest industrial region in Karachi, Pakistan, and faces major environmental challenges, such as rapid urbanization and pollution (NASA Earth Observatory, 2013). The district has a mixed development of industrial, commercial, and residential zones. The area's growth has led to pressure on local infrastructure and natural resources, causing environmental degradation. The number of households in Korangi increased from 437,932 in 2017 to 493,504 in 2023 Figure 1 (a). Both urbanization and industrial growth increased rapidly in the region, with Figure 1 (b) depicting the population growth from 1990 to 2020. We can see that population growth increased very fast from 2010 onwards creating immense pressure for more energy.

Figure 1

Study Area: Korangi-Karachi- a) Household 2017-2022 b) Built-up area in Korangi, Karachi

 

 

A graph with numbers and a bar  Description automatically generated

A graph showing the growth of a company  Description automatically generated

a)

b)

 

 

 

Objectives

 

The objectives of this study included: 1. To mark the installed solar panels on high-resolution images for the years 2017 and 2023; 2. To collect Ground Control Points (GCPs) of reading collection spots (sample collection points) around the installed solar panels area and assess the solar potential study area; 3. To estimate pollution level (VOCs, NO2, CH4 and SO2) within

 


the range of electric power plant; 4. To analyze the pollution levels in industrial and non- industrial sectors for the years 2017 and 2023; and 5. To assess solar potential in Korangi.

MATERIAL AND METHODS

Google Earth Pro

By using Google Earth Pro (Kausar et al., 2022), solar panels' location in industries has been identified for the years 2017 and 2023. In addition, Objects Based Identification (OBI) have been conducted (Kausar et al., 2023a; Kausar et al., 2024; Taylor & Lovell, 2012).

Figure 2

ArcMap- Area Solar Radiation Tool is used in the Arc toolbox

A screenshot of a computer screen  Description automatically generated (Rectangle)

This image has been generated by authors.

 

 

 

ArcMap 10.8 has been used for further analyses i.e., calculation of solar radiation, for this, the area solar radiation tool has been used that is present in the Arc toolbox, to set the analysis parameters into the geographical location and configure the setting of atmospheric effects (Figure 2). Finally, the tool was used to generate solar radiation maps by adding DEM data (year 2014). Therefore, a digital elevation model has been executed to get the final product.

 


Pollution Data

 

The pollution data was acquired and assessed through solar panel identification. Several parameters i.e., CO2, CO, PM10 PM 2.5, VOCs, SO2, and NO2 were monitored through different instruments (Table 1).

Table 1

 

Parameters and Instruments

 

Particulate Matter

Instruments

CO2

UNI T UT338C air quality meter

 

Air Quality Detector Model JSM-131 SC,

Volatile organic compounds

(TVOC)

Voltage SV, Standard JJF10591-2012, JJG 1022-2016

SO2

Air quality, Forensics Detector

PM 2.5

Air Quality Humidity Detector to record fine particulate matter

 

 

GIS Analyses (Interpolation)

 

The data was collected from 95 sites, of which 54 are solar panel sites and the remaining 41 are commercial and residential sites. The distribution allowed us to observe and compare the levels of pollution in areas with solar panels versus typical residential and commercial areas. The Inverse Distance Weighting (IDW) interpolation method was selected. IDW method is considered efficient in assessing values at unsampled locations based on nearby measurements. It aligns with our data's spatial characteristics and validation outcomes (Kausar et al., 2022). Surfaces are generated through the IDW method by using ArcGIS for air quality data. IDW will help to analyze data and for the identification of hotspots of pollutants i.e.CO2, CO, PM2.5, and PM10 IDW surfaces have also been generated for VOCs, NO2, SO , and CH4 pollutants at the power plants (Figure 3).

 


Figure 3

The data evaluation framework of the study area

A diagram of a chemical reaction  Description automatically generated (Rectangle)

This image has been generated by the authors

RESULTS AND DISCUSSIONS

 

There are 54 industries in which solar panels have been installed. The locations of solar panels that have been found through satellite imagery, in 2023, have been captured in Figure 4.

Figure 4


Solar panel integration in the industrial sector 2023

This image has been generated by the authors

 


Comparative Satellite Image Analysis for 2017 and 2023- Assessing Solar Panel Integration

Through the detailed Google Earth Pro observation, we can see that there is limited occurrence in both residential and non-industrial sectors in 2017 of solar panels in the Korangi area. Comparatibely, by 2023 there is integration of solar panels, which are more prevalent in industrial areas compared to residential areas (Figure 5(a) and 5(b)).

Figure 5 (a)

 

A Comparative Satellite Image Analysis for 2017 and 2023 of Sunbeam Engineers (Pvt) Ltd industry of Korangi, Karachi.

 

This image has been generated by authors

 


Figure 5 (b)

A Comparative Satellite Image Analysis for 2017 and 2023 of Chase value of Korangi Industrial Area, Karachi.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

A collage of buildings and roads  Description automatically generated (Rectangle)This

 

 

 

 

 

 

image has been generated by authors

Assessment of Solar Radiation Potential by Using Remote Sensing

 

In Korangi, the topographical variation is revealed through DEM data (Figure 6) with elevation ranging from 4 meters to 60 meters above sea level. The difference highlights (56 meters) the area's diverse landscape that influences local hydrological patterns and urban infrastructure (Figure 7). In Figure 7 the radiation shows within a day in WH/m². Generally, average daily solar radiation values in the world ranges between 4000 to 7000 WH/m²/day or 4 to 7 W/m² (National Renewable Energy Laboratory, 2024). Karachi has potential maximum solar radiation levels of 7,330 WH/m², and that thus the city has immense potential for solar generation (Tutiempo Network, 2024). Korangi is situated in the southern part of the country, approximately 24.8 degrees north of the equator at latitude. That is relatively close to the equator, contributing to the high level of solar radiation and warm climate. The major product of this area is 5000-7000 WH/m²/day, it is considered a favorable radiation for solar panels or energy production (Figure 7).

 


Significant variation has been quantified by zonal analysis through ArcMap in daily solar radiation values across different UCs in Korangi, Karachi. The highest recorded radiation is 15,568 WH/m², while the mean values range from 4,466 WH/m² in Morio Khan Goth to 5,467 WH/m² in Zaman Town. The (STD) values implying the alterability in daily solar radiation, range from 1,981 in Burmee Colony to 2,569 in Muslimabad. Other UCs such as Zaman Town, Awami Colony, Sherabad Colony, and Korangi 33 also portray comparatively high solar radiation values, with means around 5,400 WH/m². Most of the UCs in Korangi receive substantial solar radiation, with means generally around 5,000 WH/m²/day.

Figure 6

DEM Korangi-Karachi

 

A map of a city  Description automatically generated (Rectangle)

This image has been generated by author

 


Figure 7

 

Solar radiation intensity in Korangi, Karachi.

 

This image has been generated by authors

 

 

Table 2 shows the statistical values of different commercial areas in district Korangi. Karachi. Industrial areas such as textile and clothing manufacturing, Places for Packaging Agriculture and Food Products, Timber, Furniture, Paper, and Printing industries show higher radiation, as they receive more sunlight throughout the day (Figure 8) and have taller buildings in the area (Teunissen et al., 2021). Other places like mosques and other religious places (based on observation surveys) and small commercial places nearby all have fewer receivers in value compared to industries. Industrial facilities with optimal solar gain, are often designed to maximize sunlight exposure, with fewer obstructions such as tall buildings nearby whereas mosques and smaller commercial structures may not prioritize such orientation, consequently receiving less sunlight absorption. (Soufiane et al., 2019). But still, radiation exceeds the

 


typical average, indicating excellent conditions for solar energy production in Korangi. This suggests that solar panels in this area could generate a significant amount of electricity.

Figure 8

Korangi industrial region and its surrounding

A map of solar radiation  Description automatically generated (Rectangle)

This image has been generated by authors

Table 2

Commercial Area Solar Radiation (WH/m2) within a day

 

S.no

Commercial Areas

MAX

MEAN

STD

1

Textile and Clothing Manufacturing

7897

5340

1981

2

Manufacturing of Food, Drink and Tobacco

7891

4535

2164

3

Places for Packaging Agriculture and Food Products

15569

5443

2438

4

Medicine, Pharmaceutical

7888

5067

2077

5

Mechanical, Instrument and Electrical Engineering

15569

5597

2315

6

Banks

7802

5078

1983

7

Timber, Furniture, Paper, and Printing industries

7897

6395

1747

8

Mosques and Other Religious Places

6587

4379

1465

 

Korangi Pollution Assessment:

 

Air quality hazard zones

 

By assessing the 2023 data, it is observed that most of Korangi's Air Quality is restored, and the reason is the installation of solar panels and the conversion of power-generated resources.

 


Further study of power (electricity) generating plants has been conducted to validate this (Figure 9). Gather SO2 ppm data of Korangi that clearly shows where electric power stations such as k Electric Korangi Creek, KPC, have higher SO2, around 88.5 µg/m³ to 96 µg/m³. In addition, nearby areas, specifically residential areas are affected. On the contrary, industrial Korangi regions have a lower ratio because Solar panels do not emit SO2, so the use of solar panels in some areas has helped to reduce the overall levels of SO2. A thorough study on the burden of respiratory diseases and cardiovascular to SO₂ exposure in Iran found that the highest occurrence of SO₂ causes deaths due to cardiovascular diseases was 0.080 µg/m³ (Rabiei et al., 2020). This indicates that Korangi SO2 level contributes to the increased rates of heart failure arrhythmias, and other cardiovascular problems among locals.

Figure 9

 

Korangi thermal power stations, grid station by satellite image of Google Earth Pro

 

This image has been generated by authors

 


Volatile Organic Compounds (VOCs) are emitted from various sources, including power plants. To generate electricity, coal, oil, and natural gas combustion can release VOCs into the atmosphere (Figure 10). By assessing residential and industrial impact, places near industries are less polluted compared to where electric power plants and stations exist. The adjacent areas are also affected by pollution, which has a variety of harmful effects on human health. When fossil fuels such as coal, oil, gas, or diesel are burned at high temperatures, they emit nitrogen dioxide, a gashouse pollutant (Karakosta et al., 2021). Nitrogen dioxide can harm the human respiratory tract and make people more susceptible to respiratory infections and asthma. There was moderate evidence that short-term exposure to NO₂, even at mean values below 50 μg/m³, both increased hospital admissions and mortality (Gillespie-Bennett et al., 2010).

Chronic lung disease can be caused by long-term exposure to high levels of nitrogen dioxide. Contact with pollutants such as particulate matter (PM), sulfur dioxide (SO2), and nitrogen oxides (NOx) can lead to chronic respiratory conditions, including asthma, chronic bronchitis, and reduced lung function (Hayat et al., 2023). Korangi Electric Power generation is near a residential area and in industries where employees regularly come from different places and have regular exposure. NO2 was also found around the power station (Figure 10), and the reading reached 25.4 ppm. Though CH4 is also found in Korangi, the source region is along the power station located in a residential area, followed by the K-Electric Creek plant and, once again, around Power station (Figure 10). The fine particulate material PM 1 is spread around the western zone. Three main power plants are in contagious condition: Residential Power Station, K-Electric Korangi Creek, and around the Power generation plant (Figure 10).

 


Figure 10

 

a) SO2 b) VOC, c) NO2, d) CH4, e) PM1e emission along power plants

 

 

a)

 

b)

 

A map of a nuclear power plant  Description automatically generated

 

A map of a geolocation  Description automatically generated

c)

d)

 

A purple map with white text  Description automatically generated

e)

These images have been generated by authors

 


Comparative Assessment of Pollutants in Korangi-Karachi.

 

In comparison for years 2017 and 2023, it has been observed that a large region of Korangi faced a high level of contamination. The highest reading in 2017 was up to 20 ppm, while in 2023, it rose to 44.7 ppm. However, after critical examination (Figure 11) CO concentrations have arisen. At the same time, in 2023, the CO reading is much higher but concentrated only along some sources (Figure 11). Therefore, the extent becomes shortened, but the occurrence particularly becomes more concentrated. In the year 2017 (Figure 11), carbon dioxide gas emissions were recorded at Drigh Colony with the highest rate of emission i.e., 295.4, and the range extends till Bagh Korangi with the reading up to 258, Pak-Saadat Colony, again the loop of highest contamination is found in Abbott Laboratories, Toweller limited, and Jamia Dar Uloom, then along the pipeline industry and adjacent industries, while Mustafa Taj Colony and Chakra Got were also highest contamination area.

The emission of Carbon dioxide in Korangi will be reduced in 2023 (Figure 11), and the range of the CO2-affected regions will be reduced from the areas before the study year (2017). Nevertheless, now contamination is confined along the industrial belt non-contagious but linear sources can easily be identified. Bagh e Korangi is still the hotspot like before. Also, Cui and colleagues (2019) reported that China is the major provider of global CO2 releases; more than a quarter of the world's total CO2 is from China due to fossil fuel combustion and cement production. Figure 12 (a) Carbon footprints in the industrial area of Korangi, Karachi. The maximum carbon was detected. Meanwhile, the CO2 emissions from these ten industrial production developments displayed a fast rise before 2014 and varied from 2014 to 2018. The maximum emission was detected in the northern, central, and eastern parts of the Korangi district in 2023.

 


Figure 11

(a) Carbon Monoxide in 2017 b) Carbon Monoxide in 2023 Korangi, Karachi

(a)


(b)


These images have been generated by authors

 


Figure 12

(a) Co2 emission in 2017 b) Co2 emission in 2023 in Korangi, Karachi

(a)


(b)


 

These images have been generated by authors

 


Figure 13 (a &b) indicates the PM 2.5 concentration in Korangi Karachi. PM2.5 are lighter- weight fine particles containing a diameter of 2.5 micrometers that are emitted from industries. A high level of PM2.5 was observed in 2017 on the western side of Korangi. While a decline has been observed since 2017, it is not much of a great share. No substantial decrease was observed during the past five years. Therefore, the installation of solar panels does not control PM2.5 efficiently. Korangi does not reflect major changes in pollutant declination for identification, the industrial zone has been digitized and analyzed closely.

Figure 13(c) & (d) depicts the concentration of PM10 in the study area. In 2017, the areas of western Korangi experienced a high level of PM10 pollutants as compared to 2023. PM2.5 still exists in the environment but is now concentrated along the Mustafa Taj. These locations are not found in the industrial zone i.e. Daraz Korangi warehouse, Grey River Park, Shah Faisal, Korangi Sector 5 Korangi Creek are not found in the industrial region. In 2023 the concentration of PM 10 was found more as compared to 2017. The maximum hotspot areas are in western Korangi.

Figure 14 depicts that the hotspots of PM2.5concentration are more in industrial areas where solar panels are not installed, or fewer solar panels are in the suburbs. At these hot spots, PM 2.5 level reached up to 256 ppm. Kausar, (2023b) reported that PM2.5 level around 256 ppm is considered as very unhealthy air quality. Son and colleagues (2020) revealed that the negative influences of airborne particulate matter (PM) on solar PV power generation should be considered in policymaking on target solar power generation in Korea and in states with high PM releases.

 


Figure 13

a) PM2.5 in 2017 b) PM2.5 2023 & c) PM10 in 2017 d) PM10 in 2023

(a)


 

(b)


 


(c)


 

(d)


 

These images have been generated by authors

 


Figure 14

Monitoring PM 2.5 levels and Solar panel integration

A map of a city  Description automatically generated with medium confidence

 

This image has been generated by authors

 

CONCLUDING RECOMMENDATIONS

Korangi displays significant potential for solar energy, with daily radiation values ranging from 4,466 WH/m² to 15,568 WH/m² across different urban centers. Industrial areas like textile and food packaging industries receive higher radiation due to fewer obstructions, making them ideal for solar energy installations. Overall, the region's high solar radiation levels suggest substantial opportunities for solar energy development, especially in areas with optimal sunlight exposure.

After installing solar panels, CO, PM 10, and PM2.5 have been notably reduced in the Korangi environment. There are 54 locations where solar panels are installed within five years. Though the CO concentration is much higher (44.7) in 2023 than 20 in 2017, the change has been recorded in the form of spread. Earlier, the range over the land of Korangi was higher. Concentration is high, but certain spots and ranges over the land are limited. The extent of

 


PM10 and PM2.5 is also delimited in certain places. Concentration level is the main issue, as before. These source regions are Daraz Korangi warehouse, Grey River Park, Shah Faisal, Korangi Sector 5 Korangi Creek, and Mustafa Taj. By comparison between 2017 and 2023, the level of PM2.5 observed in 2017 was higher in the western side of Korangi. A decline has been observed since 2017, but it is not very significant.

PM2.5 are lighter-weight fine particles containing a diameter of 2.5 micrometers that are emitted from industries. In five years, the decline of the particulate is not much higher. Therefore, the installation of solar panels does not control PM2.5 efficiently. In the year 2017, carbon dioxide gas emissions were recorded at Drigh Colony with the highest rate of emission, i.e., 295.4, and the range extends till Bagh Korangi with the reading up to 258. Again the loop of highest contamination is found in Abbott Laboratories, Toweller Limited and Jamia Dar Uloom, and then along the pipeline industry and adjacent industries; while Mustafa Taj Colony and Chakra Got were also found to have highest contamination. It was expected that the emission of carbon dioxide in Korangi will be reduced in 2023, and the range of the CO2- affected regions will be reduced from the areas before 2017. But now contamination is confined along the industrial belt, and non-contagious but linear sources can easily be identified. Bagh e Korangi is still the hotspot like before.

Implementing solar panels gives a way to live in a clean environment. Korangi is one of the main industrial sectors in Karachi and a source of income for many Karachiites; therefore, it is an important sector in terms of production and revenue generation, but a clean environment for a healthy lifestyle and the industry’s labor workplace is essential. Since the Industrial Revolution, human beings have been in the race to make money at every cost, which has impacted the environment adversely. Air Quality Hazard zones are found along the areas of conventional power generating plants, as can be seen in the case of Korangi, Karachi. A sustainable approach is urgently needed to generate energy with lower impact on the

 


environment. This is possible if both the industrial and residential sectors adopt the implementation of solar panels strategy and cost-effective technology to reduce and mitigate environmental pollution as well as save electricity bills in times of rising inflation. Many people remain unaware of solar energy's potential for environmental benefits and cost savings. This research aimed to help advocate for a reduced reliance on fossil fuels and mitigate greenhouse gas emissions. Such integration of renewable energy contributes to energy security and supports global climate commitments (Kabir et al., 2018).

DECLARATION STATEMENTS

 

Conflict of Interest

The authors declare no conflict of interest.

Funding

The authors have not received any type of financial or technical assistance from any organization.

Ethics and Permissions

The authors used secondary data which was for public use and did not require permission.

Data Sharing and Availability Statement

The corresponding author has agreed to share data upon request.

Author Contributions Statement

All the authors approved the final version of the work.

 

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Latif, M. H., Aslam, A., & Mahmood, T. (2018, February). Prospects and implementation of solar energy potential in Pakistan: Based on hybrid grid station employing incremental conductance technique. 3rd International Electrical Engineering Conference (IEEC 2018), Karachi, Pakistan. University of Engineering and Technology Taxila.

NASA Earth Observatory. (2013, May 20). Korangi, Pakistan. NASA. Retrieved July 31, 2024, from https://earthobservatory.nasa.gov/images/81183/korangi-pakistan

National Renewable Energy Laboratory (2024). Solar Radiation Resource Maps. Retrieved from https://www.nrel.gov/gis/solar-resource-maps.html

Rabiei, K., Sarrafzadegan, N., Ghanbari, A., Shamsipour, M., Hassanvand, M. s., Amini, H., Yunesian, M., & Farzadfar, F. (2020). The burden of cardiovascular and respiratory diseases attributed to ambient sulfur dioxide over 26 years. Journal of Environmental Health Science and Engineering, 18. https://doi.org/10.1007/s40201-020-00464-1

Shahid, M., Kalhoro, S. A., et al. (2019). Use of solar radiation mapping for energy planning. This research demonstrates the integration of solar data into GIS platforms to optimize energy generation in developing countries like Pakistan.

Son, J., Jeong, S., Park, H., & Park, C.E. (2020). The effect of particulate matter on solar photovoltaic power generation in the Republic of Korea. Environmental Research Letters, 15(8), 084004.

Soufiane, F., Ahriz, A., Mohamed, M., & Salaheddine, D. (2019). Quantifying the effectiveness of mass proportions and the orientation for buildings on thermal

 


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Taylor, J., & Lovell, S. (2012). Mapping public and private spaces of urban agriculture in Chicago through the analysis of high-resolution aerial images in Google Earth.

Landscape and Urban Planning, 108, 57–70. https://doi.org/10.1016/j.landurbplan.2012.08.001

Teunissen, L., Plaude, L., & Jansen, K. (2021). Protection to thermal impact of solar radiation: evaluation of selected reflective fabrics. Communications in Development and Assembling of Textile Products, 2, 103-114. https://doi.org/10.25367/cdatp.2021.2.p103-114

Tutiempo Network, S.L. (2024). Solar radiation in Karachi (Pakistan). Retrieved July 27, 2024, from https://en.tutiempo.net/solar-radiation/karachi.html

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APPENDIX

 

S.No

latitude

longitude

Name

PM 10(2017)

PM 10(2023)

PM 2.5(2017

PM 2.5(2023)

CO(2017)

CO(2023)

CO2(2017)

CO2(2023)

1

24°50'41.09"N

67° 8'36.50"E

Fashion knits

112

200

95

174

9

17

177

332

2

24°51'23.42"N

67° 6'50.61"E

Daraz Korangi Warehouse

172

293

155

267

15

24

230

391

3

24°52'13.15"N

67° 8'46.74"E

Malir River Bridge

152

234

135

208

11

18

184

412

4

24°49'44.61"N

67° 9'49.16"E

Sindh Government Hospital Korangi5

106

299

89

273

14

30

211

448

5

24°50'13.01"N

67° 8'32.92"E

kasar e haroo

198

290

181

264

5

30

188

378

6

24°49'45.22"N

67° 7'30.64"E

Zardar MansionZardar Mansion - A

157

166

140

140

16

27

163

375

7

24°50'13.36"N

67° 8'3.12"E

Muhammad Noor HouseMuhammad Noor House

178

258

161

232

14

16

216

318

8

24°49'57.76"N

67° 7'30.90"E

Sir Sardar Umair HouseSir Sardar Umair House

150

300

133

274

5

44

198

365

9

24°50'2.60"N

67° 7'27.55"

Madani Kiryana and General Store Zia Colony korangi

157

245

140

219

18

42

221

430

10

24°47'54.95"N

67° 6'27.36"E

Mehran Commercial EnterprisesMehran Commercial Enterprises

85

286

68

260

12

29

275

452

11

24°48'5.08"N

67° 6'16.33"E

Korangi Creek Industrial Park

168

227

151

201

16

30

277

384

12

24°51'31.58"N

67° 9'5.13"E

Bagh-e-KorangiBagh-e-Korangi

167

223

150

197

6

20

233

475

13

24°48'11.76"N

67° 7'26.08"E

koragi creek

106

234

89

208

11

42

185

477

14

24°49'40.78"N

67° 5'57.62"E

embroidery department AK#4embroidery department AK#4 -

197

199

180

173

14

31

150

429

15

24°49'23.16"N

67° 9'56.58"E

Korangi 5 1/2

185

263

168

237

14

22

230

426

16

24°49'23.07"N

67° 5'27.98"E

Malir River

93

150

76

124

12

34

151

389

17

24°49'18.87"N

67° 5'42.05"E

Untitled Placemark

141

154

124

128

10

23

263

417

18

24°49'6.35"N

67° 6'7.08"E

grey river park

183

178

166

152

8

22

251

481

19

24°50'51.93"N

67° 9'27.18"E

Junaid Jamshed (Pvt.) Ltd.

198

229

181

203

9

24

172

397

20

24°50'48.64"N

67° 9'28.97"E

Pak oasis

90

216

73

190

16

41

274

382

21

24°50'48.64"N

67° 9'28.97"E

Junaid Jamshed (Pvt.) Ltd.

137

201

120

175

13

31

188

446

22

24°50'59.29"N

67° 9'47.16"E

safety glass window factory

96

161

79

135

12

18

279

471

23

24°50'59.74"N

67°10'15.48"E

ever flow pipe industry

116

236

99

210

19

17

267

323

24

24°51'6.96"N

67°10'28.71"E

international textile industry

159

189

142

163

19

33

268

400

25

24°51'1.71"N

67°10'35.32"E

abbott laboratories

137

211

120

185

17

29

291

312

26

24°51'8.73"N

67°10'38.75"E

Classic denim mills PVT Ltd

120

133

103

107

16

41

213

376

27

24°51'13.19"N

67°11'15.97"E

Bristol Myers Squibb Pak Pvt Ltd

101

165

84

139

13

32

164

478

28

24°51'11.21"N

67°11'18.28"E

GSK Pakistan Korangi Site

89

283

72

257

16

35

238

430

29

24°51'1.63"N

67°11'5.73"E

Sonitex LaminatesSonitex Laminates - Lamination service

191

158

174

132

11

34

259

409

30

24°50'49.52"N

67°10'34.83"E

towellers limited unit 4

112

148

95

122

8

18

243

353

31

24°50'47.84"N

67°10'37.86"E

Cpmmodities and textile Pvt.Ltd

165

264

148

238

16

39

272

336

32

24°50'43.75"N

67°10'21.19"E

Razi Sons (Pvt.) Ltd - Auto parts manufacturer

96

258

79

232

12

34

274

375

33

24°50'50.45"N

67°10'14.41"E

Fazal Sardar Textile Mills - Textile exporter

119

184

102

158

11

39

270

498

34

24°50'49.40"N

67°10'12.17"E

Naveena Exports Ltd. Mills - Mill2

103

242

86

216

11

44

236

385

35

24°50'45.11"N

67°10'3.82"E

Jamia Darul Uloom Karachi

156

279

139

253

16

38

252

472

36

24°50'36.83"N

67° 8'52.69"E

Untitled Placemark

146

258

129

232

15

34

154

396

37

24°50'36.83"N

67° 8'52.69"E

jafco industry

184

219

167

193

19

27

153

399

38

24°50'35.90"N

67° 8'46.51"E

Suzuki SNA Motors

187

163

170

137

8

21

176

500

39

24°50'28.55"N

67° 8'42.38"E

Horizon Sourcing Pvt Ltd

106

280

89

254

13

31

229

473

40

24°50'24.84"N

67° 8'13.26"E

Daraz Warehouse Non-MartDaraz Warehouse Non-Mart - Warehouse

85

171

68

145

10

36

211

371

41

24°50'24.33"N

67° 8'15.51"E

LTX2 - Linkotex Exports (Ex Iqbal Dyeing) - ExporterPlot # 36 & 37

101

185

84

159

15

41

182

350

42

24°50'18.58"N

67° 8'11.37"E

Ali Asghar Textile Mills - Warehouse

145

162

128

136

13

20

216

390

43

24°50'24.98"N

67° 7'54.53"E

Orix Leasing Pakistan Limited

157

179

140

153

8

28

153

458

44

24°49'52.73"N

67° 9'7.48"E

Zaman Town

166

236

149

210

7

34

159

351

45

24°50'12.47"N

67° 7'43.18"E

Shalimaar foods - Food manufacturing supplyPlot 194

127

248

110

222

14

21

282

481

46

24°50'12.49"N

67° 6'59.27"E

EMD Department - Electronics store

163

196

146

170

5

24

176

349

47

24°50'10.96"N

67° 6'54.12"E

Bhanero office karachi - Lodging

200

274

183

248

14

21

153

431

48

24°50'8.87"N

67° 6'29.86"E

Masco Energy Services- Karachi - Solar energy company12/1 Main Korangi Indus

95

216

78

190

17

15

253

421

49

24°50'50.76"N

67° 6'3.17"E

koragi sector 6

148

173

131

147

12

38

247

462

50

24°51'29.91"N

67°10'42.91"E

Along Malir River Karachi Pakistan

99

197

82

171

19

30

242

406

51

24°51'2.53"N

67° 7'51.52"E

ashraf

140

255

123

229

14

18

162

403

52

24°49'58.52"N

67° 6'30.40"E

Artistic Fabric & Garment Industries Pvt. Ltd Unit-8 - Clothes and fabric manufac

163

278

146

252

11

23

159

302

53

24°49'54.96"N

67° 6'30.45"E

Ever Green Dairy Factory OutletEver Green Dairy Factory Outlet - BakeryR4J5+R

135

217

118

191

11

45

251

473

54

24°49'53.57"N

67° 6'2.46"E

Bays international - Corporate office

135

246

118

220

11

32

154

353

55

24°49'56.51"N

67° 6'1.36"E

Hyundai South - Hyundai dealerSector 23 Korangi, Karachi, Karachi City, Sindh 7

167

196

150

170

7

24

299

359

56

24°49'57.48"N

67° 5'54.42"E

Sanofi-Aventis Pakistan Limited

184

128

167

102

19

41

238

371

57

24°49'47.82"N

67° 5'54.46"E

UDL Distribution (Pvt.) Ltd.

105

166

88

140

6

26

289

497

58

24°49'45.70"N

67° 5'57.50"E

Mywater« Headquarters - Water purification company

188

164

171

138

11

39

182

472

59

24°50'11.16"N

67° 5'57.50"E

Premier Group Head Office

192

238

175

212

6

19

270

489

60

24°50'10.74"N

67° 6'19.91"E

oxford university press pakistan

198

162

181

136

11

38

245

338

61

24°50'19.88"N

67° 6'37.04"E

universal leather pvt limited

188

271

171

245

14

31

196

426

62

24°50'18.52"N

67° 6'53.65"E

Soorty Green Factory (Denimkind) Unit 5&6 - Garment exporter

177

158

160

132

6

39

226

320

63

24°50'23.53"N

67° 6'52.75"E

Hilal Foods (Pvt.) Limited - FMCG manufacturer

183

121

166

95

15

32

177

341

64

24°50'22.86"N

67° 7'6.25"E

Artistic Garment Industries (K-1)Artistic Garment Industries (K-1) - Garment exp

88

221

71

195

20

32

221

303

65

24°50'25.30"N

67° 7'22.89"E

Hamid brothers Molty foam - Mattress store

175

207

158

181

15

40

186

370

66

24°50'29.44"N

67° 7'24.61"E

Sinopak Extrusion Technologies Private Limited. - Manufacturer

196

142

179

116

7

23

154

376

67

24°50'30.21"N

67° 7'32.65"E

Mehran Ceramics - Corporate office

194

174

177

148

20

29

209

495

68

24°50'34.26"N

67° 7'43.18"E

Artistic Milliners Pvt Ltd - Unit # 15 - ManufacturerBhens colony Bhens colony

141

179

124

153

16

41

258

354

69

24°50'34.42"N

67° 7'45.88"E

National RefineryNational Refinery - ManufacturerR4VH+6VM

165

138

148

112

15

32

211

301

70

24°50'35.66"N

67° 7'49.12"E

Pearl Fabrics Company - Corporate officePlot 15

196

139

179

113

14

32

180

360

71

24°50'41.60"N

67° 8'51.83"E

load

87

188

70

162

17

29

232

351

72

24°50'52.68"N

67° 9'33.71"E

MAS GARMANETS ENETERPRISES PVT LTD - Garment exporter

106

188

89

162

19

36

249

469

73

24°50'11.43"N

67° 6'4.21"E

Y2K Industries Ltd.Y2K Industries Ltd. - ManufacturerPlot 1 H

130

214

113

188

20

16

244

398

74

24°50'6.68"N

67° 7'14.10"E

Polar Cool Chain - Cold storage facilityR4PC+57V

174

280

157

254

15

28

166

324

75

24°50'10.29"N

67° 7'30.91"E

Brady's Bread - Bakery

188

283

171

257

20

20

259

372

76

24°50'19.17"N

67° 8'7.07"

Getz Pharma Grid - Lodging5 Shah Muhammad Rd

184

170

167

144

16

17

283

372

77

24°50'26.41"N

67° 8'10.59"E

Artistic Milliners Unit-4

99

273

82

247

16

23

260

359

78

24°52'37.74"N

67° 9'33.65"E

Shah Faisal Town

199

194

182

168

8

45

256

358

79

24°52'57.51"N

67° 8'6.13"E

Natha Khan GothNatha Khan Goth

186

219

169

193

18

20

238

480

80

24°52'50.38"N

67° 7'59.55"E

Pak Sadat Colony

126

154

109

128

16

43

165

393

81

24°52'58.95"N

67° 8'59.84"E

Drigh Colony

139

170

122

144

16

21

282

450

82

24°53'9.51"N

67° 9'25.28"E

Moria Khan Goth

89

221

72

195

20

42

180

353

83

24°52'41.18"N

67°10'12.42"E

Albadar

161

290

144

264

10

37

252

448

84

24°52'37.32"N

67°10'35.01"E

Al-Falah Society

95

294

78

268

8

16

255

320

85

24°52'33.24"N

67° 2'53.77"E

Muslimabad

172

182

155

156

12

27

229

406

86

24°50'59.53"N

67°12'25.20"E

Dawood Chowrangi

179

158

162

132

20

26

210

408

87

24°53'31.85"N

67°11'8.49"E

Moinabad

167

279

150

253

10

27

278

349

88

24°49'31.20"N

67° 7'34.12"E

Nasir Colony

188

239

171

213

19

44

255

389

89

24°49'10.63"N

67° 7'52.33"E

Chakra Goth

149

234

132

208

7

36

179

429

90

24°49'20.63"N

67° 9'5.27"E

Mustafa Taj Colony

133

164

116

138

6

35

182

310

91

24°49'34.54"N

67° 8'0.98"E

Gulzar Colony

175

163

158

137

18

31

167

499

92

24°50'13.34"N

67° 8'21.88"E

Sector 33 ESector 33 E

168

190

151

164

12

24

181

441

93

24°50'0.86"N

67° 8'34.58"E

Sector 33 GSector 33 G

145

215

128

189

6

30

204

432

94

24°51'10.09"N

67° 9'33.70"

Polultry center

100

176

83

150

7

26

286

310

95

24°49'58.47"N

67° 7'42.30"E

Sector 32A

166

124

149

98

13

31

291

365