Our website focuses on environmental sustainability by using a map-based interface to collect user input. It allows users to analyze the environmental conditions of a selected area through an Environmental Sustainability Score (ESS) system. The system factors in:
- Air Quality
- Pollution Levels
- Humidity
- Number of Trees
- Temperature
- Wind Speed
- Soil Type
- Number of Buildings
- Interactive Map Interface: Users select a location to analyze its environmental conditions and visualize the impact of different types of constructions on the map.
- Environmental Sustainability Score: Using AI models, it calculates the environmental sustainability score for different building types and construction stages (Before, During, and After).
- Comprehensive Environmental Analysis Report: Includes calculations of AQI changes, earthquake resistance requirements, flood risks, tree cut/replant ratios, and emissions from various activities.
The ESS report generates a score between 0 and 100, which represents the sustainability of the construction.
- Low Scores trigger the need for remedies to mitigate environmental impacts.
- Recommendations include methods to improve air quality, reduce pollution, and more.
The data collection forms allow users to enter detailed information for each building type. Example inputs include:
- Factory: Floors, Depth, Fuel, Product
- Flat: Floors, Depth, Number of Apartments
- Tenement: Floors, Depth, Number of Vehicles
- Commercial Building: Floors, Depth (Parking), Number of Stores, Number of Vehicles
The system evaluates a range of environmental metrics, including:
- AQI: Minimum, Maximum (during construction), and Net Change after construction
- Earthquake Resistance: Depth required to make the building resistant, based on magnitude and probability
- Flood Risk: Probability and risks from nearby water resources
- Tree Impact: Number of trees to be cut and replanting ratio (1:15, where 1 tree cut = 15 saplings)
- Emissions: Estimates for PM10, CO2, and other pollutants based on construction activities and fuel types
The final report outlines:
- Environmental Aspects affected by construction, with specific insights for each building type.
- Mitigation Measures to help reduce the impact.
These measures focus on pollution reduction, air quality improvement, and other environmental considerations.
Here are some key formulas and calculations used to estimate the environmental impacts:
[ AQI = \left( \frac{I_{high} - I_{low}}{C_{high} - C_{low}} \right) \times (C - C_{low}) + I_{low} ]
- Normal Depth: ( E_{PM10} = D \times A \times EF )
- Earthquake Depth: ( E_{PM10} = V \times \rho \times EF )
[ E = Q \times FC \times EF ]
- Coal: ( E_{CO2, coal} = Q_{coal} \times 2200 )
- Diesel: ( E_{CO2, diesel} = Q_{diesel} \times 2700 )
- Charcoal: ( E_{CO2, charcoal} = Q_{charcoal} \times 3000 )
- Other fuel types have similar formulas based on specific emission factors.
- Textile: Water pollution and solid waste from scraps. ( W = Q \times EF )
- Electronics: E-waste and toxic chemicals. ( W = Q \times EF )
- Automobile: Air pollution and manufacturing waste. ( E = Q \times EF )
These formulas provide a basic framework for estimating emissions from various pollution sources. For detailed calculations, specific parameters and emission factors are considered based on technology, location, and industry standards.
Our website generates the following output for users after data collection and ESS analysis:
- Fuel Emissions
- Impact Category
- Material Usage
- Overall Impact
- PM10 Emissions
- Total Emissions
These outputs provide a comprehensive analysis of the environmental effects of the construction and possible ways to mitigate negative impacts.
- Additional browser support
- Add more integrations
- Map Selection (Leaflet):
- Users select a location on a map to analyze the current environmental conditions of the area.
- Building Type Selection:
- Users can choose from four types of buildings to construct, each with specific data requirements.
- Earthquake Risk: Trained Random Forest model using Indian Earthquakes Dataset
- Flood Risk: Trained Random Forest model using Flood Risk in India Dataset
- Tree Counting: Earth Engine Dataset for Tree Cover
- Weather and Pollution: OpenWeatherMap API
- Carbon emission factor for different fuel: ResearchGate
- AQI calculation: EPA Guide