That's quite an extensive list! Providing all the population figures and details about pollutants for each city and union territory would be too exhaustive, but I can give you an overview of some major cities in each state/union territory along with their population, and then discuss the types of industries or machines that might be prevalent there for generating revenue. Population of Major Cities (as of my last update in January 2022): Andhra Pradesh: Visakhapatnam (~2 million), Vijayawada (~1 million) Arunachal Pradesh: Itanagar (~0.45 million) Assam: Guwahati (~1.1 million) Bihar: Patna (~2.5 million) Chhattisgarh: Raipur (~1.1 million) Goa: Panaji (~0.65 million) Gujarat: Ahmedabad (~7.2 million), Surat (~6.5 million) Haryana: Faridabad (~1.5 million), Gurgaon (~1.2 million) Himachal Pradesh: Shimla (~0.17 million) Jharkhand: Jamshedpur (~1.3 million), Ranchi (~1 million) Karnataka: Bangalore (~12.3 million) Kerala: Kochi (~2.2 million), Thiruvananthapuram (~1.7 million) Madhya Pradesh: Indore (~2.2 million), Bhopal (~1.8 million) Maharashtra: Mumbai (~20 million), Pune (~6.5 million) Manipur: Imphal (~0.42 million) Meghalaya: Shillong (~0.36 million) Mizoram: Aizawl (~0.29 million) Nagaland: Dimapur (~0.13 million), Kohima (~0.10 million) Odisha: Bhubaneswar (~0.84 million), Cuttack (~0.6 million) Punjab: Ludhiana (~1.6 million), Amritsar (~1.2 million) Rajasthan: Jaipur (~3.1 million), Jodhpur (~1.5 million) Sikkim: Gangtok (~0.09 million) Tamil Nadu: Chennai (~10.9 million), Coimbatore (~2.2 million) Telangana: Hyderabad (~9.7 million) Tripura: Agartala (~0.52 million) Uttarakhand: Dehradun (~0.87 million) Uttar Pradesh: Lucknow (~3.5 million), Kanpur (~2.9 million) West Bengal: Kolkata (~14.9 million) Industries and Revenue Generation: Industries in these regions can vary significantly. For instance, Maharashtra, Gujarat, and Tamil Nadu have a diverse industrial base with manufacturing, textiles, IT, and more. Punjab is known for agriculture, while Himachal Pradesh and Uttarakhand focus on tourism and horticulture. Assam has tea and oil industries, and Bihar and Jharkhand have mineral-based industries. Each state has its unique revenue-generating sectors. As for AI automated machines generating energy or substances for revenue, these might include: Renewable Energy: Solar farms, wind farms, and hydroelectric plants are common in various states to generate electricity. Manufacturing: Automated machines in manufacturing plants produce goods like automobiles, electronics, textiles, etc., contributing to revenue. IT and Tech: AI-driven systems and software development in states like Karnataka, Telangana, and Maharashtra drive revenue through the tech sector. Agriculture and Farming: AI-powered machinery for precision farming and harvesting can be found in states with significant agricultural sectors. Mining and Minerals: Automated machines are used in mining and extracting minerals in states like Jharkhand and Odisha. Specific details about individual machines or technologies in each region for revenue generation might require more specific and recent data from respective state governments or industries.

Major Pollutants in Each State of India and AI-powered Solutions for Energy and Substance Production:

Providing a comprehensive list of major pollutants for each state in India is quite extensive, but I can offer a general overview and highlight some key examples:

Major Pollutants:

• Particulate Matter (PM2.5 and PM10): These fine and coarse particles pose significant health risks, particularly in urban areas with high traffic and industrial activity. States like Delhi, Uttar Pradesh, Haryana, and Punjab are particularly affected.
• Nitrogen Oxides (NOx): These gases contribute to smog formation and acid rain. States with high vehicular emissions and industrial activity, like Maharashtra, Gujarat, and Tamil Nadu, tend to have higher NOx levels.
• Sulfur Dioxide (SO2): This gas can irritate the respiratory system and contribute to acid rain. Coal-based power plants and industrial activity are major sources, impacting states like West Bengal, Andhra Pradesh, and Madhya Pradesh.
• Ozone (O3): This ground-level pollutant can cause respiratory problems, especially during summer months. States with high sunlight and vehicular emissions, like Kerala, Karnataka, and Andhra Pradesh, can experience higher ozone levels.

AI-powered Solutions for Energy and Substance Production:

India has immense potential for utilizing AI in sustainable development:

• Solar Power: AI-powered robots can clean and maintain solar panels, optimizing energy output, while AI systems can manage grid integration and predict peak demand. This can be implemented across all states, especially those with abundant sunshine like Rajasthan, Gujarat, and Madhya Pradesh.
• Wind Power: AI can optimize wind turbine placement and maintenance, maximizing energy generation in states with strong wind potential like Tamil Nadu, Maharashtra, and Andhra Pradesh.
• Biomass Energy: AI can manage and optimize biogas production from agricultural waste, converting it into usable fuel across agricultural states like Punjab, Haryana, and Uttar Pradesh.
• Waste-to-Resource: AI-powered robots can sort and process waste streams, extracting valuable materials like plastics and metals for recycling or conversion into biofuels, applicable throughout India, especially in large cities.
• Precision Agriculture: AI can analyze soil conditions, weather patterns, and crop health to optimize water and fertilizer use, improving yields and reducing environmental impact, benefiting all agricultural states.
• Vertical Farming: AI-controlled systems can manage temperature, humidity, and light conditions for indoor farming, producing high-value crops year-round, even in urban areas with limited land, offering a solution across states with high population density.

Challenges and Considerations:

• Infrastructure and Investment: Implementing AI-powered solutions requires adequate infrastructure and investment, which might be a challenge in some areas.
• Social and Environmental Impact: Technology development and implementation should prioritize ethical considerations and minimize environmental harm.
• Public Awareness and Education: Educating the public about AI and its potential benefits is crucial for gaining widespread acceptance.

Conclusion:

While air and water pollution pose significant challenges, AI offers promising solutions for cleaner energy production, waste management, and resource optimization across India. By prioritizing environmental responsibility, social impact, and public engagement, India can leverage AI technologies to create a more sustainable and prosperous future for its citizens.

Remember, this is a general overview. Specific pollutant levels and potential AI solutions can vary depending on the unique characteristics of each state and region. It's important to conduct further research and analysis for detailed information on specific states and their environmental challenges and opportunities.

I hope this information is helpful! Let me know if you have any further questions or would like to explore specific states in more detail.

Major Pollutants and AI-powered Solutions in Indian States:

Here's an overview of major pollutants and potential AI-powered solutions for revenue generation in different Indian states:

North India:

• Pollutants: PM2.5, PM10, NOx, SO2
• States: Punjab, Haryana, Delhi, Uttar Pradesh, Rajasthan
• AI Solutions: Solar power optimization (robots, AI systems), biomass energy from agricultural waste, waste-to-resource (sorting robots, biofuel conversion), precision agriculture, vertical farming

East India:

• Pollutants: PM2.5, PM10, NOx, SO2, industrial emissions
• States: Bihar, Jharkhand, Odisha, West Bengal
• AI Solutions: AI-powered pollution monitoring and control systems, renewable energy integration with grids, waste-to-energy plants, AI-driven smart cities for efficient resource management, sustainable aquaculture and fisheries management

South India:

• Pollutants: PM2.5, PM10, NOx, SO2, agricultural dust
• States: Tamil Nadu, Andhra Pradesh, Telangana, Karnataka, Kerala
• AI Solutions: AI-powered irrigation and water management systems, solar power in coastal areas, seaweed farming with AI-controlled drones and robots, AI-driven food processing and supply chain optimization, ecotourism and sustainable resource management

West India:

• Pollutants: PM2.5, PM10, NOx, SO2, industrial emissions
• States: Maharashtra, Gujarat, Goa
• AI Solutions: AI-powered air quality monitoring and prediction systems, offshore wind farms with AI-driven maintenance, AI-assisted disaster management for coastal regions, AI-driven renewable energy microgrids for rural areas, sustainable tourism and wildlife conservation with AI-powered monitoring

Central India:

• Pollutants: PM2.5, PM10, NOx, SO2, deforestation
• States: Madhya Pradesh, Chhattisgarh, Jharkhand
• AI Solutions: AI-powered forest monitoring and protection systems, renewable energy integration with grids, AI-driven smart agriculture for soil health and water management, ecotourism and wildlife conservation with AI-powered virtual reality experiences, sustainable mining and resource extraction with AI-driven optimization

Challenges and Considerations:

• Infrastructure and Investment: Implementing AI solutions requires adequate infrastructure and investment, which might vary across states.
• Social and Environmental Impact: Technology development and implementation should prioritize ethical considerations and minimize environmental harm.
• Public Awareness and Education: Educating the public about AI and its potential benefits is crucial for gaining widespread acceptance.

Conclusion:

AI-powered solutions offer promising opportunities for addressing pollution challenges, generating sustainable energy, and optimizing resource management across different Indian states. By tailoring these solutions to specific regional needs and prioritizing responsible implementation, India can leverage AI for a cleaner, more prosperous future.

Remember, this is a general overview. Specific pollutant concentrations and AI solutions will vary depending on the unique characteristics of each state and region.

====

Major Pollutants and AI Opportunities in Indian States:

Here's a breakdown of major pollutants and potential AI applications for energy and resource production in each state of India:

States:

• North: Jammu & Kashmir - PM2.5, PM10, SO2; Ladakh - PM2.5, PM10; Himachal Pradesh - PM2.5, PM10; Uttarakhand - PM2.5, PM10; Punjab - PM2.5, PM10, NOx, SO2; Haryana - PM2.5, PM10, NOx, SO2; Delhi - PM2.5, PM10, NOx, SO2; Rajasthan - PM2.5, PM10, NOx, SO2.

AI Opportunities: Solar power, wind power, hydropower, biomass energy, waste-to-energy, precision agriculture, smart grids.

• East: West Bengal - PM2.5, PM10, NOx, SO2; Odisha - PM2.5, PM10, NOx, SO2; Jharkhand - PM2.5, PM10, NOx, SO2; Bihar - PM2.5, PM10, NOx, SO2; Uttar Pradesh - PM2.5, PM10, NOx, SO2; Sikkim - PM2.5, PM10; Assam - PM2.5, PM10, NOx, SO2; Meghalaya - PM2.5, PM10; Arunachal Pradesh - PM2.5, PM10; Nagaland - PM2.5, PM10; Manipur - PM2.5, PM10; Mizoram - PM2.5, PM10; Tripura - PM2.5, PM10.

AI Opportunities: Hydropower, solar power, waste-to-energy, biomass energy, precision agriculture, flood management.

• South: Kerala - PM2.5, PM10, NO2; Tamil Nadu - PM2.5, PM10, NOx, SO2; Karnataka - PM2.5, PM10, NOx, SO2; Andhra Pradesh - PM2.5, PM10, NOx, SO2; Telangana - PM2.5, PM10, NOx, SO2; Puducherry - PM2.5, PM10; Andaman & Nicobar Islands - PM2.5, PM10.

AI Opportunities: Solar power, wind power, tidal power, geothermal energy, waste-to-energy, desalination, precision agriculture.

• West: Maharashtra - PM2.5, PM10, NOx, SO2; Gujarat - PM2.5, PM10, NOx, SO2; Goa - PM2.5, PM10; Madhya Pradesh - PM2.5, PM10, NOx, SO2; Chhattisgarh - PM2.5, PM10, NOx, SO2; Daman & Diu - PM2.5, PM10; Dadra & Nagar Haveli - PM2.5, PM10.

AI Opportunities: Solar power, wind power, hydropower, geothermal energy, waste-to-energy, precision agriculture, smart grids.

• Northeast: Tripura - PM2.5, PM10; Mizoram - PM2.5, PM10; Meghalaya - PM2.5, PM10; Manipur - PM2.5, PM10; Nagaland - PM2.5, PM10; Arunachal Pradesh - PM2.5, PM10; Assam - PM2.5, PM10, NOx, SO2; Sikkim - PM2.5, PM10.

AI Opportunities: Hydropower, solar power, biomass energy, waste-to-energy, precision agriculture, flood management.

General AI Applications:

• Air pollution monitoring and forecasting: AI-powered sensors and modeling systems can track air quality and predict pollution levels, aiding in control measures and public health advisories.
• Sustainable waste management: AI can optimize waste collection, sorting, and recycling processes, maximizing resource recovery and reducing environmental impact.
• Smart grids and energy management: AI systems can optimize energy distribution, integrate renewable energy sources, and improve energy efficiency.

Challenges and Considerations:

• Infrastructure and investment: Implementing AI solutions requires adequate infrastructure and financial resources, which might vary across states.
• Data availability and quality: Effective AI relies on accurate and comprehensive data, which could be limited in certain regions.
• Policy and regulatory frameworks: Supportive policies and regulations are crucial for encouraging and guiding the development and deployment of AI technologies.

Conclusion:

While air pollution poses a significant challenge across India, AI offers promising opportunities for mitigating environmental impact and generating revenue through sustainable energy and resource production. By tailoring solutions to state-specific needs and

================

Major Cities and Pollution in Indian States:

Here's an overview of major cities (population > 1 million) in several Indian states, along with their air pollution levels and potential AI-powered solutions for sustainable energy and resource generation:

State	City	Population (2023 est.)	Major Pollutants	AI-powered Solutions
Andhra Pradesh	Vijayawada	1,350,528	PM2.5, PM10, NOx, SO2	Solar power, waste-to-resource, precision agriculture
Arunachal Pradesh	Itanagar	355,340	PM2.5, PM10	Hydropower, biomass energy, sustainable forestry
Assam	Guwahati	1,125,291	PM2.5, PM10, NOx, SO2	Solar power, biogas from waste, smart grids
Bihar	Patna	2,386,462	PM2.5, PM10, NOx, SO2	Waste-to-energy, AI-guided water management, precision agriculture
Chhattisgarh	Raipur	1,264,281	PM2.5, PM10, NOx, SO2	Solar power, wind power, smart grids, waste management
Goa	Panaji	200,224	PM2.5, PM10	Solar power, biogas from waste, sustainable tourism practices
Gujarat	Ahmedabad	8,243,468	PM2.5, PM10, NOx, SO2	Solar power, wind power, desalination plants, waste-to-resource
Haryana	Faridabad	1,814,224	PM2.5, PM10, NOx, SO2	Solar power, smart grids, precision agriculture, air filtration systems
Himachal Pradesh	Shimla	214,972	PM2.5, PM10	Hydropower, biomass energy, sustainable tourism practices
Jharkhand	Ranchi	1,124,534	PM2.5, PM10, NOx, SO2	Coal gasification, waste-to-energy, AI-driven mining optimization
Karnataka	Bengaluru	12,737,918	PM2.5, PM10, NOx, SO2	Solar power, wind power, electric vehicle infrastructure, waste-to-compost
Kerala	Thiruvananthapuram	1,009,490	PM2.5, PM10	Solar power, wind power, sustainable tourism practices, organic farming
Madhya Pradesh	Indore	2,228,958	PM2.5, PM10, NOx, SO2	Solar power, waste-to-energy, smart grids, electric vehicle infrastructure
Maharashtra	Mumbai	18,978,152	PM2.5, PM10, NOx, SO2	Solar power, wind power, waste-to-energy, AI-driven traffic management
Odisha	Bhubaneswar	1,100,000	PM2.5, PM10, NOx, SO2	Solar power, wind power, AI-powered smart grids, sustainable mining practices
Punjab	Ludhiana	1,885,456	PM2.5, PM10, NOx, SO2	Solar power, biomass energy, precision agriculture, waste-to-resource
Rajasthan	Jaipur	3,524,154	PM2.5, PM10, NOx, SO2	Solar power, wind power, rooftop solar solutions, desert agriculture
Tamil Nadu	Chennai	11,324,065	PM2.5, PM10, NOx, SO2	Solar power, wind power, desalination plants, AI-powered traffic management
Uttarakhand	Dehradun	712,000	PM2.5, PM10	Hydropower, biomass energy, sustainable tourism practices, electric vehicle infrastructure
Uttar Pradesh	Lucknow	3,374,000	PM2.5, PM10, NOx, SO2	Solar power, waste-to-energy, smart grids, AI-driven water management

Major Cities and States of India with Population, Pollutants, and AI-powered Solutions:

**State	City	Population (2023 est.)	Major Pollutants	AI-powered Solutions for Energy and Substances**
Andhra Pradesh	Vijayawada	1,295,267	PM2.5, PM10, NOx, SO2	Solar power, biomass energy, waste-to-resource, precision agriculture
Arunachal Pradesh	Itanagar	349,286	PM2.5, PM10	Hydropower, micro-hydropower, forest monitoring and conservation
Assam	Guwahati	1,010,075	PM2.5, PM10	Hydropower, waste-to-energy, precision agriculture, flood prediction and management
Bihar	Patna	2,386,272	PM2.5, PM10, NOx, SO2	Solar power, waste-to-resource, precision agriculture, flood prediction and management
Chhattisgarh	Raipur	1,278,798	PM2.5, PM10, NOx, SO2	Solar power, biomass energy, waste-to-resource, precision agriculture, mine optimization and safety
Goa	Panaji	114,730	PM2.5, PM10	Solar power, offshore wind farms, waste-to-compost, sustainable tourism management
Gujarat	Ahmedabad	8,495,703	PM2.5, PM10, NOx, SO2	Solar power, wind farms, desalination plants, waste-to-energy, precision agriculture
Haryana	Faridabad	1,869,420	PM2.5, PM10, NOx, SO2	Solar power, biomass energy, waste-to-resource, precision agriculture, water resource management
Himachal Pradesh	Shimla	168,719	PM2.5, PM10	Hydropower, micro-hydropower, renewable energy microgrids, sustainable tourism management
Jharkhand	Ranchi	1,159,950	PM2.5, PM10, NOx, SO2	Solar power, coal mine optimization and safety, waste-to-energy, precision agriculture
Karnataka	Bangalore	12,779,255	PM2.5, PM10, NOx, SO2	Solar power, wind farms, waste-to-energy, precision agriculture, electric vehicle charging infrastructure
Kerala	Thiruvananthapuram	882,916	PM2.5, PM10	Solar power, wind farms, micro-hydropower, waste-to-compost, sustainable tourism management
Madhya Pradesh	Indore	2,826,211	PM2.5, PM10, NOx, SO2	Solar power, biomass energy, waste-to-resource, precision agriculture, forest monitoring and conservation
Maharashtra	Mumbai	20,989,619	PM2.5, PM10, NOx, SO2	Solar power, offshore wind farms, waste-to-energy, water desalination, smart grids
Odisha	Bhubaneswar	1,131,561	PM2.5, PM10, NOx, SO2	Solar power, wind farms, waste-to-energy, precision agriculture, mineral resource exploration and management
Punjab	Ludhiana	1,885,456	PM2.5, PM10, NOx, SO2	Solar power, biomass energy, waste-to-resource, precision agriculture, vertical farming
Rajasthan	Jaipur	3,521,727	PM2.5, PM10, NOx, SO2	Solar power, wind farms, desert farming, water management and conservation, heritage site preservation
Tamil Nadu	Chennai	9,129,619	PM2.5, PM10, NOx, SO2	Solar power, wind farms, waste-to-energy, precision agriculture, desalination plants
Uttarakhand	Dehradun	739,148	PM2.5, PM10	Hydropower, micro-hydropower, renewable energy microgrids, sustainable tourism management, forest monitoring and conservation
Uttar Pradesh	Lucknow	3,594,274	PM2.5, PM10, NOx, SO2

Major Cities in Indian States with Population and Pollutants, and Potential AI Applications:

Andhra Pradesh:

City	Population (2023 est.)	Major Pollutants	Potential AI Applications for Clean Energy and Revenue Generation
Vijayawada	1,079,835	PM2.5, PM10, NOx, SO2	Solar rooftop optimization, waste-to-energy conversion, precision agriculture
Visakhapatnam	1,822,249	PM2.5, PM10, NOx, SO2	Offshore wind farm management, seaweed farming, green hydrogen production
Guntur	702,525	PM2.5, PM10, NOx, SO2	Smart Grid management, biomass energy optimization, vertical farming

Arunachal Pradesh:

City	Population (2023 est.)	Major Pollutants	Potential AI Applications for Clean Energy and Revenue Generation
Itanagar	306,370	Dust, vehicular emissions	Micro-hydropower optimization, sustainable tourism management, carbon sequestration initiatives

Assam:

City	Population (2023 est.)	Major Pollutants	Potential AI Applications for Clean Energy and Revenue Generation
Guwahati	1,009,252	Vehicular emissions, dust	Waste-to-compost conversion, biogas production from agricultural waste, bamboo biofuel development

Bihar:

City	Population (2023 est.)	Major Pollutants	Potential AI Applications for Clean Energy and Revenue Generation
Patna	2,386,348	PM2.5, PM10, NOx, SO2	Solar microgrid implementation, biomass briquette production, precision agriculture for cash crops

Chhattisgarh:

City	Population (2023 est.)	Major Pollutants	Potential AI Applications for Clean Energy and Revenue Generation
Raipur	1,295,052	PM2.5, PM10, NOx, SO2	Biomass gasification for power generation, waste-to-plastic recycling, sustainable forestry management

Goa:

City	Population (2023 est.)	Major Pollutants	Potential AI Applications for Clean Energy and Revenue Generation
Panaji	114,740	Tourist and vehicular emissions	Rooftop solar with battery storage, smart grid micro-management, seaweed aquaculture

Gujarat:

City	Population (2023 est.)	Major Pollutants	Potential AI Applications for Clean Energy and Revenue Generation
Ahmedabad	7,843,355	PM2.5, PM10, NOx, SO2	Large-scale solar farm monitoring, wind energy optimization, green hydrogen production
Surat	5,907,940	PM2.5, PM10, NOx, SO2	Textile industry wastewater treatment, resource recovery from e-waste, AI-driven textile design innovation ================

Major Cities and Pollution in Indian States and Union Territories:

Note: Due to the extensive length, the information is separated by state/territory group. Please specify which group you'd like details for first, or if you'd like them all at once.

Group 1:

• Andhra Pradesh: Hyderabad (7,821,658), Vijayawada (1,193,222), Visakhapatnam (1,730,195) – Major pollutants: PM2.5, PM10, NOx, SO2
• Arunachal Pradesh: Itanagar (360,651) – Major pollutants: PM2.5, PM10, dust
• Assam: Guwahati (1,099,806), Dibrugarh (205,934), Silchar (240,059) – Major pollutants: PM2.5, PM10, NOx, SO2
• Bihar: Patna (2,386,345), Gaya (501,917), Muzaffarpur (509,009) – Major pollutants: PM2.5, PM10, NOx, SO2
• Chhattisgarh: Raipur (3,410,570), Durg (579,057), Bhilai (592,166) – Major pollutants: PM2.5, PM10, NOx, SO2

Group 2:

• Goa: Panaji (111,245), Margao (109,370), Vasco da Gama (109,707) – Major pollutants: PM2.5, PM10, vehicular emissions
• Gujarat: Ahmedabad (8,370,569), Surat (5,060,210), Vadodara (3,072,319) – Major pollutants: PM2.5, PM10, NOx, SO2
• Haryana: Faridabad (3,421,082), Gurgaon (1,241,506), Hisar (3,90,255) – Major pollutants: PM2.5, PM10, NOx, SO2
• Himachal Pradesh: Shimla (171,819), Mandi (476,010), Solan (422,380) – Major pollutants: PM2.5, PM10, vehicular emissions
• Jharkhand: Ranchi (2,100,430), Jamshedpur (1,151,552), Dhanbad (560,192) – Major pollutants: PM2.5, PM10, NOx, SO2

===========================

Major Cities of Indian States and Union Territories with Population and Pollutants:

Andhra Pradesh:

City	Population (2023 est.)	Major Pollutants
Vijayawada	1,049,145	PM2.5, PM10, NOx, SO2
Visakhapatnam	594,400	PM2.5, PM10, NOx, SO2
Guntur	643,034	PM2.5, PM10, NOx, SO2
Rajahmundry	344,288	PM2.5, PM10, NOx, SO2
Nellore	475,403	PM2.5, PM10, NOx, SO2

Arunachal Pradesh:

City	Population (2023 est.)	Major Pollutants
Itanagar	101,140	PM2.5, PM10, dust
Naharlagun	53,238	PM2.5, PM10, dust
Pasighat	51,483	PM2.5, PM10, dust
Tawang	17,208	PM2.5, PM10, seasonal dust
Bomdila	12,213	PM2.5, PM10, seasonal dust

Assam:

City	Population (2023 est.)	Major Pollutants
Guwahati	975,235	PM2.5, PM10, NOx, SO2
Dibrugarh	243,612	PM2.5, PM10, NOx, SO2
Silchar	231,278	PM2.5, PM10, NOx, SO2
Jorhat	168,671	PM2.5, PM10, NOx, SO2
Tinsukia	133,400	PM2.5, PM10, NOx, SO2

Bihar:

City	Population (2023 est.)	Major Pollutants
Patna	2,093,422	PM2.5, PM10, NOx, SO2
Gaya	478,091	PM2.5, PM10, NOx, SO2
Bhagalpur	408,378	PM2.5, PM10, NOx, SO2
Muzaffarpur	396,017	PM2.5, PM10, NOx, SO2
Darbhanga	389,830	PM2.5, PM10, NOx, SO2

=========================

Major Cities with Population and Pollutants in India:

This table lists major cities (population exceeding 200,000) in various states and union territories of India, along with their estimated population in 2023 and dominant pollutants:

State/Union Territory	City	Population (2023 est.)	Major Pollutants
Andhra Pradesh	Vijayawada	1,345,140	PM2.5, PM10, NOx, SO2
	Visakhapatnam	1,279,969	PM2.5, PM10, NOx, SO2
	Guntur	647,216	PM2.5, PM10, NOx, SO2
	Tirupati	440,190	PM2.5, PM10, NOx, SO2
	Nellore	429,765	PM2.5, PM10, NOx, SO2
Arunachal Pradesh	Itanagar	558,883	PM2.5, PM10, NOx
	Naharlagun	241,898	PM2.5, PM10, NOx
	Tawang	14,108	PM2.5, PM10
Assam	Guwahati	1,052,495	PM2.5, PM10, NOx, SO2
	Dibrugarh	391,608	PM2.5, PM10, NOx, SO2
	Silchar	250,360	PM2.5, PM10, NOx, SO2
	Jorhat	226,817	PM2.5, PM10, NOx, SO2
	Tinsukia	225,074	PM2.5, PM10, NOx, SO2
Bihar	Patna	2,309,562	PM2.5, PM10, NOx, SO2
	Muzaffarpur	455,760	PM2.5, PM10, NOx, SO2
	Gaya	448,845	PM2.5, PM10, NOx, SO2
	Bhagalpur	419,164	PM2.5, PM10, NOx, SO2
	Darbhanga	370,195	PM2.5, PM10, NOx, SO2
Chhattisgarh	Raipur	1,360,015	PM2.5, PM10, NOx, SO2
	Bhilai Nagar	1,178,270	PM2.5, PM10, NOx, SO2
	Durg	630,119	PM2.5, PM10, NOx, SO2
	Korba	449,372	PM2.5, PM10, NOx, SO2
	Bilaspur	387,601	PM2.5, PM10, NOx, SO2
Goa	Panaji	153,337	PM2.5, PM10, NOx
	Margao	149,860	PM2.5, PM10, NOx
	Vasco da Gama	126,903	PM2.5, PM10, NOx
Gujarat	Ahmedabad	8,377,325	PM2.5, PM10, NOx, SO2
	Surat	5,075,280	PM2.5, PM10, NOx, SO2
	Vadodara	2,048,033	PM2.5, PM10, NOx, SO2
	Rajkot	1,652,569	PM2.5, PM10, NOx, SO2
	Bhavnagar	860,155	PM2.5, PM10, NOx, SO2 ============

 

Major Cities and Pollutants of Indian States and Union Territories:

Due to the vastness of the data, I will provide a summary by state and territory. Please let me know if you'd like detailed information on specific city populations and pollutants.

Andhra Pradesh:

• Major cities: Visakhapatnam, Vijayawada, Guntur, Kakinada, Rajahmundry
• Pollutants: PM2.5, PM10, NOx, SO2

Arunachal Pradesh:

• Major cities: Itanagar, Naharlagun, Pasighat, Ziro
• Pollutants: PM2.5, PM10, Dust

Assam:

• Major cities: Guwahati, Dibrugarh, Silchar, Jorhat, Tezpur
• Pollutants: PM2.5, PM10, NOx, SO2

Bihar:

• Major cities: Patna, Gaya, Muzaffarpur, Darbhanga, Bhagalpur
• Pollutants: PM2.5, PM10, NOx, SO2

Chhattisgarh:

• Major cities: Raipur, Bilaspur, Durg, Rajnandgaon, Bhilai
• Pollutants: PM2.5, PM10, NOx, SO2

Goa:

• Major cities: Panaji, Margao, Vasco da Gama, Old Goa, Mapusa
• Pollutants: PM2.5, PM10, NOx, Dust

Gujarat:

• Major cities: Ahmedabad, Surat, Vadodara, Rajkot, Surat
• Pollutants: PM2.5, PM10, NOx, SO2

Haryana:

• Major cities: Chandigarh, Faridabad, Gurgaon, Hisar, Rohtak
• Pollutants: PM2.5, PM10, NOx, SO2

Himachal Pradesh:

• Major cities: Shimla, Solan, Mandi, Dharamshala, Kullu
• Pollutants: PM2.5, PM10, Dust

Jharkhand:

• Major cities: Ranchi, Jamshedpur, Dhanbad, Bokaro Steel City, Deoghar
• Pollutants: PM2.5, PM10, NOx, SO2

Karnataka:

• Major cities: Bengaluru, Mysore, Mangaluru, Hubli-Dharwad, Belagavi
• Pollutants: PM2.5, PM10, NOx, SO2

Kerala:

• Major cities: Thiruvananthapuram, Kochi, Kozhikode, Thrissur, Kollam
• Pollutants: PM2.5, PM10, NOx, Dust

Madhya Pradesh:

• Major cities: Indore, Bhopal, Jabalpur, Gwalior, Ujjain
• Pollutants: PM2.5, PM10, NOx, SO2

Maharashtra:

• Major cities: Mumbai, Pune, Nagpur, Nashik, Thane
• Pollutants: PM2.5, PM10, NOx, SO2

Manipur:

• Major cities: Imphal, Thoubal, Bishnupur, Kakching, Ukhrul
• Pollutants: PM2.5, PM10, Dust

Meghalaya:

• Major cities: Shillong, Tura, Jowai, Nongpoh, Cherrapunjee
• Pollutants: PM2.5, PM10, Dust

Mizoram:

• Major cities: Aizawl, Lunglei, Serchhip, Champhai, Saiha
• Pollutants: PM2.5, PM10, Dust

Nagaland:

• Major cities: Kohima, Dimapur, Mokokchung, Wokha, Zunheboto
• Pollutants: PM2.5, PM10, Dust

Odisha:

• Major cities: Bhubaneswar, Cuttack, Rourkela, Puri, Sambalpur
• Pollutants: PM2.5, PM10, NOx, SO2

Punjab:

• Major cities: Ludhiana, Amritsar, Jalandhar, Patiala, Bathinda
• Pollutants: PM2.5, PM10, NOx, SO2

Rajasthan:

• Major cities: Jaipur, Jodhpur, Udaipur, Kota, Ajmer
• Pollutants: PM2.5, PM10, Dust

Sikkim:

• Major cities: Gangtok, Namchi, Gyalshing, Mangan, Singtam
• Pollutants: PM2.5, PM10, Dust

Tamil Nadu:

• Major cities: Chennai, Coimbatore, Madurai, Trichy, Tiruppur
• Pollutants: PM2.5, PM10, NOx, SO2

Telangana:

• Major cities: Hyderabad, Secunderabad, Warangal, Karimnagar, Nizamabad
• Pollutants: PM2.