Objective:
1. To assess the pollution scenario in Surat by identifying key pollutants and their sources.
2. To conduct a vulnerability assessment, highlighting areas and populations at greater risk from air pollution.
3. To propose urban planning interventions to mitigate air pollution in Surat.
Study Area:
• It is the 4th fastest-growing city globally.
• Surat serves as an industrial hub for:
• Textile manufacturing, trade, diamond cutting and polishing, Zari work, chemical industries, and petrochemical and natural gas industries
Key Inferences from Satellite Data Sentinel-5P (2022–23):
• High NO₂ and CO levels observed in Pandesara, Udhna, Sachin, and Hazira confirm active industrial and transport emissions.
• Winter months show peak concentrations due to inversion and poor dispersion, trapping pollutants near the surface.
• City core experiences higher pollution compared to outskirts due to denser traffic and population.
Key findings from ATMOS Dispersion Model:
• Pollution aligns with major roads (e.g., Udhna Main Road, Ring Road), indicating vehicular emissions as a key source.
• Industrial hubs in the south (Sachin) and west (Hazira) exhibit significant air quality degradation.
Key Observations from Pollution concentration and vulnerability Maps:
• High pollutant concentrations were found in central zones (Udhna, Varachha, Ring Road), industrial belts (Pandesara, Sachin), and commercial areas.
• Vulnerability hotspots include the core city, where population density, congestion, and mixed land uses overlap.
• Peripheral zones showed lower vulnerability, making them more suitable for future industrial relocation.
Identified Pollution Sources:
• Industrial and freight movement emissions from (textile, chemical, dye units) in Udhna, Pandesara, Varachha, and Sachin.
• Vehicular emissions on congested roads (Udhna Main Rd, Ring Road, VIP Rd).
• Dumping site emissions along VIP Road.
• Urban activity zones (Athwa, Ghod Dod, City Core) with high human footfall and traffic.
JUSTIFICATION FOR INDUSTRIAL RELOCATION
1. Air Pollution & Public Health
• Relocation reduces exposure to high PM, NO₂, CO emissions in residential zones.
• Air emissions: dust, oil mists, acid vapors, odors and boiler exhausts.
2. Traffic Congestion & Logistics
• Shifting industries optimizes freight movement & reduces congestion.
3. Urban Livability & Land Use
• Industrial zones limit green spaces & mixed-use development.
• Redevelopment enables housing, commercial centers & parks.
4. Economic Growth
• Dedicated industrial hub improves supply chain efficiency.
• Closer access to markets and units.
SITE SELECTION CRITERIA
�� Away from Residential & Educational Areas – Reduces human exposure to emissions. (Away from high population density area)
Proximity to Industrial & Agricultural Land – Supports synergies between industries.
Connectivity to Roads & Railways –Ensures seamless freight movement.
Proximity to River – Supports Industrial water requirements & sustainable wastewater management. ��
Affordable Land Prices – Reduces relocation costs & promotes investment.
LAND SUITABILITY ANALYSIS
Fuzzy AHP was done to weight the criteria. Fuzzy AHP is an extension of the traditional Analytic Hierarchy Process that integrates fuzzy logic to handle imprecise or uncertain decision-making scenarios. It is useful when dealing with qualitative criteria or when expert opinions involve uncertainty.
Fuzzy AHP Weights:
1. Away from residential & Educational Land use: 0.377
2. Away from high-density population: 0.222
3. Proximity to railway: 0.152
4. Proximity to primary road: 0.118
5. Proximity to river: 0.070
6. Proximity to Industrial & agricultural land use : 0.061
• Consistency Index (CI): 0.041
• Consistency Ratio (CR): 0.033
• The pairwise comparisons are consistent (CR < 0.1).
Justification for selecting Site:
• Away from dense population.
• Good highway and railway connectivity for efficient logistics.
• Economically viable due to public/vacant land availability.
• Enables compact, planned industrial development with minimal land fragmentation.
AHP-based multi-criteria analysis was used to identify environmentally and socially suitable landfill sites.
• Settlement proximity ranked as the most critical factor (weight: 50%)
• Followed by river buffer (21%), roads (12%), forests (12%), and slope (5%). CR was < 0.1.
• The final suitability map integrates these criteria, identifying optimal landfill locations that balance environmental, logistical, and regulatory considerations.
PROFESSIONAL WORK
ISP (DEC. 2021 TO MAY 2024)
CD SET SAMPLE
Worked on multiple similar-scale projects
TOOLS USED: REVIT, LUMION, BLUEBEAM REVU, ON SCREEN TAKEOFF, ADOBE PHOTOSHOP
PROFESSIONAL WORK
ISP (DEC. 2021 TO MAY 2024)
DD SET SAMPLE
Worked on various commercial projects and an airport project
TOOLS USED: REVIT, LUMION, BLUEBEAM REVU, ON SCREEN TAKEOFF, ADOBE PHOTOSHOP
Samples of Different Projects
PROFESSIONAL WORK – ISP
(DEC. 2021 TO MAY 2024)
Worked on multiple similarscale projects
TOOLS USED: REVIT, LUMION, BLUEBEAM REVU, ON SCREEN TAKEOFF, ADOBE PHOTOSHOP
