Click any metric card to explore detailed parameters
| Parameter | Value | NAAQS Limit | Direction |
|---|---|---|---|
| AQI Good | 39 | 0–50 Good | Lower is better |
| Air Quality Index — a single number (0–500) summarizing overall air pollution. Computed from the worst-performing pollutant. AQI ≤50 is "Good"; above 200 is "Very Poor" and dangerous for sensitive groups. | |||
| PM2.5 | 11.89 µg/m³ | ≤40 µg/m³ (24hr) | Lower is better |
| Fine particulate matter (diameter <2.5 µm). These ultra-fine particles penetrate deep into lungs and enter the bloodstream, causing respiratory disease, heart attacks, and reduced life expectancy. Main sources: vehicle exhaust, construction dust, industrial emissions, crop burning. | |||
| PM10 | 27.12 µg/m³ | ≤60 µg/m³ (24hr) | Lower is better |
| Coarse particulate matter (diameter <10 µm). Includes dust, pollen, and mold spores. Causes coughing, aggravates asthma, and irritates eyes/throat. Less dangerous than PM2.5 but still a major concern in dusty cities like Raipur. | |||
| NO₂ | 11.74 µg/m³ | ≤40 µg/m³ (annual) | Lower is better |
| Nitrogen Dioxide — reddish-brown gas from vehicle engines and power plants. Irritates airways, worsens asthma, and contributes to smog/acid rain formation. High NO₂ is a strong indicator of traffic-related pollution. | |||
| SO₂ | 4.04 µg/m³ | ≤50 µg/m³ (24hr) | Lower is better |
| Sulfur Dioxide — pungent gas from burning coal, oil, and industrial smelting (steel plants near Raipur). Causes burning sensation in nose/throat, breathing difficulty, and contributes to acid rain which damages buildings and vegetation. | |||
| CO | 0.35 mg/m³ | ≤2 mg/m³ (8hr) | Lower is better |
| Carbon Monoxide — colorless, odorless gas from incomplete combustion (vehicles, generators, burning biomass). Reduces blood's ability to carry oxygen, causing headaches, dizziness. High levels indoors can be fatal. Especially dangerous in enclosed/poorly ventilated areas. | |||
| O₃ | 1.96 µg/m³ | ≤100 µg/m³ (8hr) | Lower is better |
| Ground-level Ozone — unlike protective ozone in upper atmosphere, ground-level O₃ is harmful. Formed when sunlight reacts with vehicle exhaust and industrial emissions. Peaks in afternoon heat. Triggers chest pain, coughing, and throat irritation. Especially harmful for children and elderly. | |||
| NH₃ | 9.29 µg/m³ | ≤400 µg/m³ (24hr) | Lower is better |
| Ammonia — a pungent gas from agricultural fertilizers, animal waste, sewage treatment, and some industrial processes. High concentrations irritate eyes, nose, and throat. Contributes to secondary PM2.5 formation through atmospheric reactions. | |||
Air quality is satisfactory. No health risk for the general population.
Enjoy outdoor activities freely. Good day for exercise in parks and open spaces.
No cardiovascular risk from air quality. Heart patients can be active normally.
Normal activity. Continue prescribed medications and exercise routine.
No special concern for elderly. Safe for morning/evening walks.
Enjoy outdoor walks and activities. Stay hydrated.
Safe for all family members including children. No restrictions on outdoor play.
Enjoy family outings, park visits, and outdoor sports. Great day for picnics!
No air quality concern for pregnant women. Safe for prenatal walks and exercises.
Continue prenatal exercises and walks. Stay well-hydrated with clean drinking water.
No respiratory concern. Asthma and COPD patients can be active outdoors.
Normal activity. Carry rescue inhaler as precaution. Great day for breathing exercises.
Excellent conditions for all outdoor sports and exercise. Full lung capacity available.
All outdoor sports are safe — running, cycling, cricket, yoga in parks. Hydrate well!
| Parameter | Value | Ideal | Score | Rating |
|---|---|---|---|---|
| TDS Very Good | 331.74 ppm | ≤300 ppm | 75 /100 |
|
| Total Dissolved Solids — measures dissolved minerals, salts & metals in water. High TDS makes water taste salty/bitter, can cause scaling in pipes, and may indicate contamination. BIS acceptable limit: 500 ppm. Lower is better | ||||
| pH Level Perfect | 7.22 | 6.5–8.5 | 100 /100 |
|
| Measures acidity (pH<7) or alkalinity (pH>7) of water. Too acidic water corrodes pipes releasing metals; too alkaline causes scale buildup and bitter taste. Neutral pH 7.0 is ideal. BIS range: 6.5–8.5. Closer to 7.0 is better | ||||
| Supply Extreme | 5.4 hrs/day | 24 hrs | 22 /100 |
|
| Hours of piped water supply per day. 24/7 continuous supply is ideal. Intermittent supply causes negative pressure in pipes, drawing in contaminants from surrounding soil. Also forces storage in tanks which increases bacterial growth. Higher is better | ||||
| Fluoride Perfect | 0.403 mg/L | ≤1.0 mg/L | 100 /100 |
|
| Fluoride concentration in water. Small amounts (0.5–1.0 mg/L) help prevent dental cavities, but excess fluoride (>1.5 mg/L) causes dental fluorosis (staining/pitting of teeth) and skeletal fluorosis (bone deformity). BIS limit: 1.0 mg/L (acceptable), 1.5 mg/L (max permissible). Lower is better | ||||
| Total (sum of 4 params) | 297/400 | |||
| Water Score (Total ÷ 4) Very Good | 74.38 /100 |
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| Parameter | What It Measures | Better Direction | BIS Standard |
|---|---|---|---|
| TDS | Total Dissolved Solids — dissolved minerals, salts & metals. High TDS causes salty/bitter taste and pipe scaling. | ↓ Lower | ≤500 ppm (acceptable) ≤2000 ppm (max) |
| pH Level | Acidity/alkalinity of water. Too acidic corrodes pipes; too alkaline causes scale buildup. Best at neutral 7.0. | ≈ Closer to 7.0 | 6.5–8.5 |
| Supply Hours | Hours of piped water per day. Intermittent supply draws contaminants into pipes and forces tank storage (bacterial growth). | ↑ Higher | 24 hrs (ideal) |
| Fluoride | Fluoride concentration. Small amounts prevent cavities; excess causes dental/skeletal fluorosis (bone damage). | ↓ Lower | ≤1.0 mg/L (safe) ≤1.5 mg/L (max) |
| Nitrate | NO₃⁻ from agricultural runoff & sewage. Excess causes "blue baby syndrome" in infants and long-term health risks. | ↓ Lower | ≤45 mg/L (as NO₃⁻) |
No sanitation data available yet.
Infrastructure quality assessed via 9 satellite datasets — ESA WorldCover, GHSL Built Surface/Height/Volume/SMOD, VIIRS Nighttime Lights, Dynamic World, ALOS DEM, and Sentinel-2 indices. Data analysed at 1000m and 3000m buffer radii around each area's centroid via Google Earth Engine.
| Parameter | Value |
|---|---|
| Avg Built Surface per Pixel | 0.0 m² |
| Total Built Surface | 0 m² |
| Built Surface Fraction | 287.3% |
| Avg Building Height | 0.83 m |
| Max Building Height | 3.6 m |
| Total Built Volume | 828,917 m³ |
| Mean Built Volume per Pixel | 874.1 m³ |
| Mean Elevation | 296.8 m | Slope (Mean) | 0.12° |
| Min Elevation | 284.2 m | Slope (Max) | 0.14° |
| Max Elevation | 307.8 m | Elevation Range | 28.7 m |
| Parameter | 1000m | 3000m | Average |
|---|---|---|---|
| Built-up (LULC) | 10.2% | 4.2% | 7.2% |
| Avg Bldg Height | 1.27 m | 0.38 m | 0.83 m |
| Night Radiance | 1.89 | 3.78 | 2.84 |
| Urbanization | 10.0 | 10.0 | 10.0 |
| Dynamic World Built | 30.0% | 15.1% | 22.5% |
| NDBI | 0.0900 | 0.1300 | 0.1100 |
| Impervious Surface | 10.3% | 18.6% | 14.4% |
| Mean Slope | 0.09° | 0.14° | 0.12° |
| Infra Score | 31.7 | 37.0 | 29.1 |
| Parameter | Value |
|---|---|
| Avg Built Surface per Pixel | 368.6 m² |
| Total Built Surface | 8,972,276 m² |
| Built Surface Fraction | 332.5% |
| Avg Building Height | 1.27 m |
| Max Building Height | 4.1 m |
| Total Built Volume | 421,389 m³ |
| Mean Built Volume per Pixel | 1,388.6 m³ |
| Mean Elevation | 307.3 m | Slope (Mean) | 0.09° |
| Min Elevation | 276.5 m | Slope (Max) | 0.18° |
| Max Elevation | 292.7 m | Elevation Range | 15.8 m |
| Parameter | Value |
|---|---|
| Avg Built Surface per Pixel | 225.2 m² |
| Total Built Surface | 51,164,554 m² |
| Built Surface Fraction | 242.1% |
| Avg Building Height | 0.38 m |
| Max Building Height | 3.1 m |
| Total Built Volume | 1,236,444 m³ |
| Mean Built Volume per Pixel | 359.7 m³ |
| Mean Elevation | 286.3 m | Slope (Mean) | 0.14° |
| Min Elevation | 291.8 m | Slope (Max) | 0.10° |
| Max Elevation | 322.9 m | Elevation Range | 41.6 m |
| Parameter | Risk Level | Score | Benchmark | Weight |
|---|---|---|---|---|
| River Flood Risk | Low | 10 | Low (10) = Safest | 50% |
| Risk of flooding from rivers. Raipur drains into the Mahanadi basin via Kharun, Pairy, and Seonath rivers. Areas near the Kharun River corridor (Mowa, Kachna, Labhandi) face highest risk during monsoon. | ||||
| Urban Waterlogging | Low | 10 | Low (10) = Safest | 50% |
| Risk of urban waterlogging due to inadequate storm-water drainage. RMC data shows 97% incidence of waterlogging in the city with a 52% drainage coverage gap. Dense old-city areas and lake overflow zones are most vulnerable. | ||||
Lower score = safer area. Score is a weighted average of 2 factors:
Score = (River Flood × 50%) + (Waterlogging × 50%)
| Parameter | Value | Description |
|---|---|---|
| Soil Type | Hard alluvial / laterite | Primary differentiator — soft soil amplifies earthquake shaking |
| Seismic Zone | Zone II | BIS IS-1893 classification (Zone II = lowest hazard in India) |
| PGA (475-yr) | 0.0155g | Peak Ground Acceleration for 475-year return period (~10% in 50 yrs) |
| PGA (2475-yr) | 0.0325g | Peak Ground Acceleration for 2475-year return period (~2% in 50 yrs) |
| Liquefaction Risk | None | Soil liquefaction potential during seismic events — saturated soils are most susceptible |
| Raw Risk Score | 1/5 | 1/5 = safest (hard soil), 5/5 = highest risk (soft saturated soil in high zone) |
Rural village in Aarang tehsil, BIS Zone II. Hard alluvial soil, standard construction norms sufficient.
Lower score = safer area. Score based on soil amplification risk (the only differentiator since all of Raipur is BIS Zone II):
Score = Raw Soil Risk (1-5) mapped to 0-100 scale
Land Surface Temperature measures the radiative temperature of the ground from satellite thermal sensors. Higher LST indicates urban heat island effects — more concrete, less shade, and higher energy use. Data is analysed at two buffer radii (1000m and 3000m) using Landsat 8/9 thermal infrared band at 30m resolution.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Mean Temp | 29.56°C | 32.88°C | 31.22°C |
| Min Temp | 17.03°C | 23.71°C | 20.37°C |
| Max Temp | 46.64°C | 45.15°C | 45.90°C |
| LST Score | 61.8 | 48.5 | 55.1 |
Built-up density measures the percentage of land covered by buildings, roads, and other impervious surfaces. Lower built-up density means more open spaces, parks, and room to breathe. Data from ESA WorldCover 2021 at 10m resolution classifies every pixel as built-up or non-built-up.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Built-up % | 12.5% | 6.0% | 9.3% |
| Open Space % | 87.5% | 94.0% | 90.8% |
| Score | 87.5 | 94.0 | 90.7 |
Nighttime light radiance captured by VIIRS satellite is a reliable proxy for economic activity and infrastructure quality. Brighter areas indicate better street lighting, commercial activity, and power supply reliability. Higher radiance = more developed and safer neighbourhoods.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Avg Radiance | 4.021 | 1.487 | 2.754 |
| Score | 8.0 | 3.0 | 5.5 |
Surface water detection from JRC Global Surface Water dataset maps every water body worldwide at 30m resolution. Areas with lakes, ponds, rivers, and reservoirs score higher — water bodies reduce urban heat, support ecosystems, and enhance quality of life.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Permanent Water % | 49.19% | 43.27% | 46.23% |
| Seasonal Water % | 101.71% | 88.74% | 95.23% |
| Score | 100.0 | 100.0 | 100.0 |
Population density estimates from WorldPop at 100m resolution indicate how crowded a neighbourhood is. Lower density areas tend to have less congestion, better air quality, more green space, and quieter living conditions. Data based on 2020 census integration with satellite imagery.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Population | 4,248 | 17,546 | 10,897 |
| Density (per km²) | 1,352 | 621 | 986 |
| Score | 93.2 | 96.9 | 95.1 |
Data sourced from TerraClimate (~4.6 km resolution). Analyses soil moisture, precipitation, evapotranspiration, runoff, and drought index (PDSI) to assess groundwater recharge conditions. Recharge = Precipitation − ET − Runoff. Positive recharge and higher soil moisture indicate healthy groundwater replenishment.
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
161.6 mm | 30% | 80.8 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+0.7 mm/yr | 25% | 33.4 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
4.36 | 20% | 100.0 /100 | |
| SM Trend Soil moisture change 2021→2024 (−50 to +50 mm) |
-12.3 mm | 15% | 37.7 /100 | |
| Precipitation Annual rainfall (800–1800 mm/yr) |
1,871 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 68.3/100 | ||
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
173.6 mm | 30% | 86.8 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+0.9 mm/yr | 25% | 33.5 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
4.76 | 20% | 100.0 /100 | |
| SM Trend Soil moisture change 2021→2024 (−50 to +50 mm) |
-10.2 mm | 15% | 39.8 /100 | |
| Precipitation Annual rainfall (800–1800 mm/yr) |
1,830 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 81.9/100 | ||
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
149.6 mm | 30% | 74.8 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+0.4 mm/yr | 25% | 33.4 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
3.96 | 20% | 99.5 /100 | |
| SM Trend Soil moisture change 2021→2024 (−50 to +50 mm) |
-14.3 mm | 15% | 35.7 /100 | |
| Precipitation Annual rainfall (800–1800 mm/yr) |
1,913 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 69.2/100 | ||
Moderate groundwater conditions. Underground water storage is adequate but may show seasonal variation. Monitor trends and consider water conservation practices.
| Category | Count | Max | Score | Progress |
|---|---|---|---|---|
| Hospitals (500m) | 7 | 3 | 100 /100 |
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Hospitals (500m) — 19 places found
View Full Details
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| Hospitals (2km) | 19 | 5 | 100 /100 |
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Hospitals (2km) — 19 places found
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| Schools (1km) | 14 | 5 | 100 /100 |
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Schools (1km) — 20 places found
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| Markets (1km) | 18 | 3 | 100 /100 |
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Markets (1km) — 21 places found
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| Parks (5km) | 1 | 3 | 33 /100 |
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Parks (5km) — 8 places found
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| Station/Bus Stop (1km) | 1 | 2 | 50 /100 |
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Station/Bus Stop (1km) — 2 places found
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| Pharmacy (2km) | 20 | 3 | 100 /100 |
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Pharmacy (2km) — 20 places found
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| Banks (1km) | 19 | 3 | 100 /100 |
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Banks (1km) — 20 places found
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| Restaurants (1km) | 19 | 5 | 100 /100 |
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Restaurants (1km) — 20 places found
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| Worship (1km) | 16 | 3 | 100 /100 |
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Worship (1km) — 19 places found
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| Transport Services (1km) | 11 | 4 | 100 /100 |
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Transport Services (1km) — 11 places found
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| Total (weighted sum of 11 categories) | 983/1100 | |||
| Amenity Score (Total ÷ 11) | 80.27 /100 |
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Similar to normal conversation — comfortable for daily activities.
Reasonably quiet — most people can sleep without issues.
The Central Pollution Control Board (CPCB) sets noise limits for different zone types. Here's how this area performs against the standards:
Distance to key noise sources from this location. Closer sources contribute more to noise levels.
| Source | Count (2 km) | Nearest (m) | Impact |
|---|---|---|---|
| Major Highways
Motorways, trunk & primary roads (high traffic volume) |
2 | 800 | Moderate |
| Industrial Zones
Factories, manufacturing & industrial land use areas |
1 | 1,500 | Moderate |
| Railway Lines
Rail & light rail tracks (intermittent but high peak noise) |
1 | 1,200 | Moderate |
| Airport
Swami Vivekananda Airport (flight path noise) |
— | 20.5 km | Low |
The Quiet Score (0–100) measures how quiet and peaceful this area is. A higher score means a quieter, more livable area. The score uses 5 parameters:
| Factor | Weight | Value | Contribution | Meaning |
|---|---|---|---|---|
| Highway Proximity | 40% | 800m | 16.0 | Farther from highways = less traffic noise = higher score |
| Industrial Proximity | 25% | 1,500m | 18.8 | Farther from factories = less industrial hum = higher score |
| Railway Proximity | 15% | 1,200m | 9.0 | Farther from tracks = less train noise = higher score |
| Highway Density | 10% | 2 roads | 8.0 | Fewer major roads nearby = less cumulative traffic noise |
| Industrial Density | 10% | 1 zones | 8.0 | Fewer industrial zones = quieter residential environment |
| Total Quiet Score | 100% | — | 59.8 | Higher score = quieter and more livable |
Raipur context: Raipur is a growing metropolitan area with expanding road networks and an industrial belt along the Siltara-Urla corridor. Naya Raipur (Atal Nagar) generally has wider roads with better setbacks, resulting in lower noise exposure. The WHO recommends daytime noise below 55 dB and nighttime below 40 dB for healthy living.
NDVI (Normalized Difference Vegetation Index) is a satellite-based measurement that detects how green and healthy vegetation is from space. This data is analysed at two buffer radii — 1000m and 3000m — around the area centre using Landsat 8/9 OLI satellite imagery at 30m resolution. The final green cover score is the average of both radii, giving a balanced view of your immediate neighbourhood (1km) and wider surroundings (3km).
Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Over half the neighbourhood has meaningful green cover — well above average for an Indian city.
% of area with any meaningful greeneryAlmost no dense tree cover — the area lacks mature tree canopy or park-like green spaces.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
|
NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.288 | 40% | 57.6 /100 |
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Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
75.1% | 30% | 75.1 /100 |
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Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
1.1% | 20% | 2.3 /100 |
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Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
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| Averaged (1000m + 3000m) Green Score | 46.0 /100 |
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Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Over half the neighbourhood has meaningful green cover — well above average for an Indian city.
% of area with any meaningful greeneryAlmost no dense tree cover — the area lacks mature tree canopy or park-like green spaces.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
|
NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.335 | 40% | 67 /100 |
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Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
68.4% | 30% | 68.4 /100 |
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Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
2.1% | 20% | 4.1 /100 |
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Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
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| 1000m Buffer Green Score | 40.0 /100 |
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Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Over half the neighbourhood has meaningful green cover — well above average for an Indian city.
% of area with any meaningful greeneryAlmost no dense tree cover — the area lacks mature tree canopy or park-like green spaces.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
|
NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.241 | 40% | 48.2 /100 |
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Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
81.8% | 30% | 81.8 /100 |
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Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
0.2% | 20% | 0.5 /100 |
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Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
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| 3000m Buffer Green Score | 49.2 /100 |
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| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| NDVI Mean | 0.335 | 0.241 | 0.288 |
| Vegetation % | 68.4% | 81.8% | 75.1% |
| Dense Green % | 2.1% | 0.2% | 1.1% |
| Barren % | 7.4% | 4.9% | 6.2% |
| Tree Canopy % | 0.4% | 1.0% | 0.7% |
| Green Score | 40.0 | 49.2 | 46.0 |
Moderate Green Cover
This area has reasonable vegetation — some parks and tree-lined streets, but also significant built-up zones. The urban heat island effect is partially mitigated. Property values here may benefit from nearby green spaces.
Tip: Check if the green spaces are accessible — a park within walking distance matters more than distant vegetation.
Raipur context: As per ISRO LULC data, Raipur's urban green cover has been declining due to rapid construction. WHO recommends 9 sq.m green space per person — most Indian cities fall short. Naya Raipur's planned sectors show higher NDVI due to mandatory green belt provisions.
The Amenity Score for Arang (town) is calculated by averaging 11 category sub-scores:
Each category scores 0-100 based on how many amenities are found within a specific radius:
| Category | Search Radius | Max Count for 100 | Points per Amenity | Formula |
|---|---|---|---|---|
| Hospitals (500m) | 500m | 3 | 33 | min(100, count × 33) |
| Hospitals (2km) | 2km | 5 | 20 | min(100, count × 20) |
| Schools (1km) | 1km | 5 | 20 | min(100, count × 20) |
| Markets (1km) | 1km | 3 | 33 | min(100, count × 33) |
| Parks (5km) | 5km | 3 | 33 | min(100, count × 33) |
| Station/Bus Stop (1km) | 1km | 2 | 50 | min(100, count × 50) |
| Pharmacy (2km) | 2km | 3 | 33 | min(100, count × 33) |
| Banks (1km) | 1km | 3 | 33 | min(100, count × 33) |
| Restaurants (1km) | 1km | 5 | 20 | min(100, count × 20) |
| Worship (1km) | 1km | 3 | 33 | min(100, count × 33) |
| Transport Services (1km) | 1km | 4 | 25 | min(100, count × 25) |
| Category | Found | Raw (count × pts) | Capped at 100 |
|---|---|---|---|
| Hospitals (500m) | 7 | 7 × 33 = 231 | 100 (capped) |
| Hospitals (2km) | 19 | 19 × 20 = 380 | 100 (capped) |
| Schools (1km) | 14 | 14 × 20 = 280 | 100 (capped) |
| Markets (1km) | 18 | 18 × 33 = 594 | 100 (capped) |
| Parks (5km) | 1 | 1 × 33 = 33 | 33 |
| Station/Bus Stop (1km) | 1 | 1 × 50 = 50 | 50 |
| Pharmacy (2km) | 20 | 20 × 33 = 660 | 100 (capped) |
| Banks (1km) | 19 | 19 × 33 = 627 | 100 (capped) |
| Restaurants (1km) | 19 | 19 × 20 = 380 | 100 (capped) |
| Worship (1km) | 16 | 16 × 33 = 528 | 100 (capped) |
| Transport Services (1km) | 11 | 11 × 25 = 275 | 100 (capped) |
| Sum of all categories | 4038 | 983 | |
| Final Score = 983 ÷ 11 | 80.27/100 | ||
The Water Quality Score is a composite measure (0–100) derived from key drinking water parameters based on WHO/BIS standards and ground-truth data from the CWC Hot Spots Report 2022 (Central Water Commission).
Water Score = (TDS Score + pH Score + Supply Score + Fluoride Score) ÷ 4
| Parameter | Condition | Score |
|---|---|---|
| TDS (mg/L) | ≤ 300 ppm | 100 |
| 301 – 600 ppm | 75 | |
| 601 – 900 ppm | 50 | |
| > 900 ppm | 25 | |
| pH Level | 6.5 – 8.5 | 100 |
| 6.0 – 6.5 or 8.5 – 9.0 | 70 | |
| < 6.0 or > 9.0 | 30 | |
| Water Supply | 24 hrs/day | 100 |
| Less than 24 hrs | (hours ÷ 24) × 100 | |
| Fluoride | ≤ 1.0 mg/L | 100 |
| 1.1 – 1.5 mg/L | 60 | |
| > 1.5 mg/L | 20 |
| Parameter | Value | Score |
|---|---|---|
| TDS | 331.74 ppm | 75 |
| pH Level | 7.22 | 100 |
| Supply | 5.4 hrs/day | 22 |
| Fluoride | 0.403 mg/L | 100 |
Water Score = (75 + 100 + 22 + 100) ÷ 4 = 74.38/100
| Station | River | Parameter | Pre-Monsoon | Monsoon | Post-Monsoon | Status |
|---|---|---|---|---|---|---|
| Patharidih | Kharun | Nitrate (NO₃⁻-N) | 20.71 mg/L | 14.59 mg/L | 16.40 mg/L | 🔴 Hotspot all 3 seasons |
| Simga | Seonath | Nitrate (NO₃⁻-N) | 12.96 mg/L | — | 11.95 mg/L | 🟠 Hotspot pre & post monsoon |
Patharidih on the Kharun river (flows through Raipur city) is the most critical hotspot — it exceeded the BIS nitrate limit (45 mg/L as NO₃⁻ = 10.16 mg/L as N) in all three seasons of 2022. The Kharun is a direct tributary of the Seonath, which feeds into the Mahanadi, forming Raipur's primary water source basin.
Simga on the Seonath river (boundary of Raipur & Durg districts) also showed persistent nitrate exceedance in pre- and post-monsoon seasons.
The Air Quality Index (AQI) is a standardised indicator (0–500) that communicates how polluted the air currently is. A lower AQI means cleaner air.
The overall AQI equals the highest sub-index among all measured pollutants. Each sub-index is calculated by linear interpolation between CPCB/EPA breakpoints for that pollutant's concentration.
| AQI Range | Category | Health Impact |
|---|---|---|
| 0 – 50 | Good | Minimal impact |
| 51 – 100 | Satisfactory | Minor breathing discomfort to sensitive people |
| 101 – 200 | Moderate | Breathing discomfort to people with lung/heart disease |
| 201 – 300 | Poor | Breathing discomfort on prolonged exposure |
| 301 – 400 | Very Poor | Respiratory illness on prolonged exposure |
| 401 – 500 | Severe | Affects healthy people; serious impact on those with existing diseases |
Each pollutant's sub-index is calculated using linear interpolation:
Ip = ( (IHi − ILo) / (BPHi − BPLo) ) × (Cp − BPLo) + ILo
| AQI | PM2.5 (µg/m³) 24-hr avg |
PM10 (µg/m³) 24-hr avg |
NO₂ (µg/m³) 24-hr avg |
SO₂ (µg/m³) 24-hr avg |
CO (mg/m³) 8-hr avg |
O₃ (µg/m³) 8-hr avg |
NH₃ (µg/m³) 24-hr avg |
|---|---|---|---|---|---|---|---|
| Good (0–50) | 0–30 | 0–50 | 0–40 | 0–40 | 0–1.0 | 0–50 | 0–200 |
| Satisfactory (51–100) | 31–60 | 51–100 | 41–80 | 41–80 | 1.1–2.0 | 51–100 | 201–400 |
| Moderate (101–200) | 61–90 | 101–250 | 81–180 | 81–380 | 2.1–10 | 101–168 | 401–800 |
| Poor (201–300) | 91–120 | 251–350 | 181–280 | 381–800 | 10.1–17 | 169–208 | 801–1200 |
| Very Poor (301–400) | 121–250 | 351–430 | 281–400 | 801–1600 | 17.1–34 | 209–748 | 1201–1800 |
| Pollutant | Value | Unit | Category Impact |
|---|---|---|---|
| PM2.5 | 11.89 | µg/m³ | Good |
| PM10 | 27.12 | µg/m³ | Good |
| NO₂ | 11.74 | µg/m³ | Good |
| SO₂ | 4.04 | µg/m³ | Good |
| CO | 0.35 | mg/m³ | Good |
| O₃ | 1.96 | µg/m³ | Good |
| NH₃ | 9.29 | µg/m³ | Good |
Overall AQI = max of all sub-indices = 39 Good
| AQI Range | Air Quality Score (for Livability) | Method |
|---|---|---|
| 0 – 500 | max(0, 100 − AQI) | Inverted: lower AQI = higher livability |
For Arang (town): Air Score = max(0, 100 − 39) = 61/100
The Normalized Difference Vegetation Index (NDVI) measures vegetation health using satellite imagery:
NIR = Near-Infrared reflectance (Landsat 8/9 Band 5)
Red = Red light reflectance (Landsat 8/9 Band 4)
Range: −1 (water) to +1 (dense vegetation)
| NDVI Range | Category | Description |
|---|---|---|
| < 0.0 | Water | Water bodies, rivers, ponds |
| 0.0 – 0.1 | Barren | Bare soil, rock, sand, built-up areas |
| 0.1 – 0.2 | Sparse | Sparse vegetation, urban green, scattered shrubs |
| 0.2 – 0.4 | Moderate | Grassland, cropland, gardens, roadside trees |
| 0.4 – 0.6 | Dense | Dense parks, plantation, forest patches |
| > 0.6 | Very Dense | Closed canopy forest, dense tropical vegetation |
| Component | Raw Value | Sub-Score | Weight | Contribution |
|---|---|---|---|---|
| NDVI Mean | 0.288 | 57.6/100 | 40% | 23.04 |
| Vegetation Coverage | 75.1% | 75.1/100 | 30% | 22.53 |
| Dense Green Cover | 1.1% | 2.3/100 | 20% | 0.46 |
| Parks within 500m | 0 | 0/100 | 10% | 0 |
| Green Cover Score | 46.0/100 | |||
ee.Image.normalizedDifference(['B5', 'B4']) — per GEE TutorialThe Quiet Score measures how quiet and peaceful an area is, on a scale of 0 to 100. A higher score means a quieter, more livable area — better for living, sleeping, and overall well-being. It is calculated using real geographic data from OpenStreetMap to determine proximity to noise sources like highways, industries, and railways.
| Parameter | Weight | How It's Scored |
|---|---|---|
| Highway Proximity | 40% | Distance to nearest motorway/trunk/primary road. 0m = 0 points, ≥2000m = 100 points. Linear interpolation. |
| Industrial Proximity | 25% | Distance to nearest industrial zone. 0m = 0 points, ≥2000m = 100 points. Linear interpolation. |
| Railway Proximity | 15% | Distance to nearest rail/light rail track. 0m = 0 points, ≥2000m = 100 points. |
| Highway Density | 10% | Count of major roads within 2km. 0 roads = 100 points, ≥10 roads = 0 points. |
| Industrial Density | 10% | Count of industrial zones within 2km. 0 zones = 100 points, ≥5 zones = 0 points. |
Daytime and nighttime noise levels (dB) are estimated using the FHWA Traffic Noise Model (simplified). The model calculates noise attenuation based on distance:
| Source | Reference Level | At 100m | At 500m | At 1000m |
|---|---|---|---|---|
| Major Highway | 78 dB @ 10m | 58 dB | 44 dB | 38 dB |
| Industrial Zone | 70 dB @ 50m | 64 dB | 50 dB | 44 dB |
| Railway (Leq) | 60 dB @ 25m | 48 dB | 34 dB | 28 dB |
| Airport | 75 dB @ 1km | — | 81 dB | 75 dB |
Nighttime noise is estimated to be 5–10 dB lower than daytime (reduced traffic, no industrial operations). Multiple sources are combined using logarithmic addition.
The Central Pollution Control Board classifies areas into 4 noise zones with specific limits:
| Zone | Day Limit | Night Limit | Typical Areas |
|---|---|---|---|
| Industrial | 75 dB | 70 dB | Factory areas, manufacturing hubs (Siltara, Urla) |
| Commercial | 65 dB | 55 dB | Markets, commercial zones (Pandri, Malviya Road) |
| Residential | 55 dB | 45 dB | Housing colonies, wards (Shankar Nagar, Tatibandh) |
| Silence | 50 dB | 40 dB | Near hospitals, schools, courts (within 100m) |
| Score Range | Rating | What It Means |
|---|---|---|
| 80–100 | Excellent | Very quiet, far from all noise sources — ideal for families and health-conscious residents |
| 60–79 | Good | Generally peaceful with minimal noise intrusion — suitable for comfortable living |
| 40–59 | Moderate | Some noise from traffic or industrial areas — consider soundproofing improvements |
| 20–39 | Below Average | Noticeable noise pollution — may affect sleep quality and daily comfort |
| 0–19 | Poor | High noise exposure — health risks from prolonged exposure (stress, hearing, cardiovascular) |
The Sanitation Score measures the quality and coverage of sanitation infrastructure in an area, on a scale of 0 to 100. A higher score means better sewage treatment, drainage, waste collection, and open-defecation-free (ODF) compliance — all critical for public health and livability.
| Parameter | Weight | How It's Scored |
|---|---|---|
| ODF Status | 20% | ODF++ = 100, ODF+ = 70, ODF = 40. Based on SBM Urban certification level. ODF++ means no open defecation plus solid & liquid waste management. |
| Sewage Treatment Coverage | 30% | Direct percentage value (0–100%). Measures the proportion of area connected to sewage treatment plants (STPs). Higher coverage means less untreated sewage discharge. |
| Drainage Coverage | 25% | Direct percentage value (0–100%). Measures the extent of paved/covered storm-water drains. Better drainage prevents waterlogging and disease vectors. |
| Waste Collection | 15% | Daily (2x) = 100, Daily = 80, Alternate Day = 50. Reflects frequency and reliability of door-to-door waste collection by the municipal body. |
| Sewage Disposal Method | 10% | Centralized STP = 100, STP Connected = 80, Septic Tank = 50, Open Drain = 10. Measures how responsibly sewage effluent is handled before discharge. |
The Swachh Bharat Mission Urban uses a three-tier ODF certification framework:
| Level | Criteria | Score |
|---|---|---|
| ODF++ | No open defecation + all sewage/septage safely treated + proper fecal sludge management | 100 |
| ODF+ | No open defecation + no untreated sewage/septage discharged into water bodies/open drains | 70 |
| ODF | No open defecation — all households have access to toilets and use them | 40 |
| Score Range | Rating | What It Means |
|---|---|---|
| 80–100 | Excellent | Comprehensive sanitation coverage — ODF++ certified, high sewage treatment, reliable waste collection |
| 60–79 | Good | Good infrastructure with room for improvement — most areas connected to STPs, daily waste collection |
| 40–59 | Moderate | Basic sanitation in place but gaps in coverage — some open drains, partial sewage treatment |
| 20–39 | Below Average | Significant gaps in sanitation — poor drainage, infrequent waste collection, septic-tank-dependent |
| 0–19 | Poor | Severe sanitation deficits — open defecation areas, untreated sewage discharge, disease risk |
The Flood Risk Score measures an area's vulnerability to river flooding and urban waterlogging. Lower score = safer area.
| Parameter | Weight | Description | Risk → Score |
|---|---|---|---|
| River Flood Risk | 50% | Proximity to rivers (Kharun, Pairy, Seonath) and flood history | Low = 10, Low-Medium = 25, Medium = 40, High = 70, Very High = 85 |
| Urban Waterlogging | 50% | Storm-water drainage adequacy and monsoon waterlogging history | Low = 10, Low-Medium = 25, Medium = 40, High = 70, Very High = 85 |
Flood Risk Score = (River Flood × 50%) + (Waterlogging × 50%)
| Zone | Area | River Flood | Waterlogging | Overall | Score |
|---|---|---|---|---|---|
| Zone 4 | Civil Lines/Sadarbazar | Low | Low | 🟢 Lowest | 10 |
| Zone 10 | Kamhal Vihar/Devpuri | Low | Low | 🟢 Lowest | 10 |
| Zone 8 | Tatibandh/Mahadevahat | Low-Medium | Low | 🟡 Low-Medium | 17.5 |
| Zone 1 | North-West | Medium | Low | 🟡 Low-Medium | 25 |
| Zone 5 | Dangania/South | Medium | Medium | 🟡 Medium | 40 |
| Zone 6 | Bhathagaon/Tikrapara | Medium | Medium | 🟡 Medium | 40 |
| Zone 2 | Railway/Pandri | Medium | High | 🔴 High | 55 |
| Zone 3 | Shankar Nagar/Telibandha | Medium | High | 🔴 High | 55 |
| Zone 7 | Tatya Para/Geeta Nagar | Medium | High | 🔴 High | 55 |
| Zone 9 | Saddu/Mowa/Kachna | High | High | 🔴 Highest | 70 |
The Livability Score is a single number (0–100) that represents the overall quality of life in a neighbourhood. It is the simple average of all available sub-scores.
Livability Score = Average of all available sub-scores100 − AQI (lower AQI = better air = higher score)100 − flood_risk_score (lower risk = safer = higher score)100 − earthquake_score (lower risk = safer = higher score)
| # | Parameter | Source | Conversion for Composite |
|---|---|---|---|
| 1 | Air Quality | CPCB AQI data | 100 − AQI (AQI 41 → 59) |
| 2 | Water Quality | BIS IS-10500 parameters | Direct (0–100) |
| 3 | Sanitation | RMC/NRDA sanitation data | Direct (0–100) |
| 4 | Amenities | Google Places API | Direct (0–100) |
| 5 | Quiet Score | Noise level analysis | Direct (0–100) |
| 6 | Green Cover | NDVI satellite analysis | Direct (0–100) |
| 7 | Flood Risk | NDMA/ThinkHazard | 100 − score (risk 10 → 90) |
| 8 | Earthquake Risk | BIS IS-1893/NDMA | 100 − score (risk 10 → 90) |
Infrastructure score is planned but not yet included. Only parameters with available data are averaged — NULL values are skipped, not treated as zero.
| Grade | Score Range | Meaning | Recommendation |
|---|---|---|---|
| A | 80–100 | Excellent livability | Top-tier neighbourhood. Premium pricing justified. Ideal for families. |
| B | 60–79 | Good livability | Well-served area. Good balance of infrastructure and environment. Recommended for most buyers. |
| C | 40–59 | Average livability | Some gaps in amenities or environment. Check specific weak parameters before deciding. |
| D | 20–39 | Below average | Significant gaps. Suitable only if specific advantages (price, location) outweigh livability concerns. |
| F | 0–19 | Poor livability | Major livability issues. Not recommended for residential investment without significant improvement plans. |
The Earthquake Risk Score measures an area's seismic vulnerability based on soil type and amplification potential. Lower score = safer area.
Since all of Raipur is uniformly Zone II, the only meaningful differentiator is soil type. Soft, saturated, or filled soils amplify distant earthquake shaking more than hard alluvial or laterite soils. This is called site amplification effect per IS 1893.
Score = Soil-based raw risk (1–5) mapped to 0–100 scale| Raw Score | Earthquake Score | Soil Type | Risk Level |
|---|---|---|---|
| 1/5 | 10 | Hard alluvial / laterite / rock | 🟢 Low |
| 2/5 | 25 | Soft alluvial / fill / saturated riverine | 🟡 Low-Medium |
| 3/5 | 45 | Mixed weak soil | 🟠 Medium |
| 4/5 | 65 | Very soft / liquefiable | 🔴 High |
| 5/5 | 85 | Extreme soft / reclaimed | 🔴 Very High |
| Zone | Area | Soil Type | Liquefaction | Risk | Score |
|---|---|---|---|---|---|
| Zone 1 | North-West Raipur | Hard alluvial | None | 🟢 Low | 10 |
| Zone 2 | Railway/Pandri | Old fill / made land | Low | 🟡 Low-Medium | 25 |
| Zone 3 | Shankar Nagar/Telibandha | Mixed alluvial, lake-fringe | None | 🟢 Low | 10 |
| Zone 4 | Civil Lines/Sadarbazar | Hard alluvial | None | 🟢 Low | 10 |
| Zone 5 | Dangania/South | Mixed alluvial | None | 🟢 Low | 10 |
| Zone 6 | Bhathagaon/Tikrapara | Mixed alluvial | None | 🟢 Low | 10 |
| Zone 7 | Tatya Para/Geeta Nagar | Soft alluvial (Kharun corridor) | Low | 🟡 Low-Medium | 25 |
| Zone 8 | Tatibandh/Mahadevahat | Hard alluvial | None | 🟢 Low | 10 |
| Zone 9 | Saddu/Mowa/Kachna | Soft saturated riverine | Medium | 🟡 Low-Medium | 25 |
| Zone 10 | Kamhal Vihar/Devpuri | Hard alluvial, plateau approach | None | 🟢 Low | 10 |
| Naya Raipur (all sectors): Hard laterite / rock — 🟢 Low (score: 10) — Best seismic profile | |||||
The Land Surface Temperature (LST) Score measures the thermal comfort of an area from satellite data. Lower surface temperature = higher score (better livability).
LST Score = max(0, min(100, ((45 - mean_temp) / 25) × 100))| Mean LST (°C) | Score | Category |
|---|---|---|
| ≤ 20°C | 100 | ❄️ Cool — Perfect |
| 25°C | 80 | 🌤️ Comfortable |
| 30°C | 60 | 🌤️ Moderate |
| 35°C | 40 | ☀️ Warm |
| 40°C | 20 | 🔥 Hot |
| ≥ 45°C | 0 | 🔥 Extreme Heat |
The Built-up Density Score measures the percentage of land covered by impervious surfaces (buildings, roads, pavements). Lower built-up percentage = higher score (more open space).
Built-up Score = 100 - builtup_percentage| Built-up % | Open Space % | Score | Category |
|---|---|---|---|
| 0-10% | 90-100% | 90-100 | 🌳 Very Low Density |
| 10-30% | 70-90% | 70-90 | 🏡 Low Density |
| 30-50% | 50-70% | 50-70 | 🏘️ Moderate |
| 50-70% | 30-50% | 30-50 | 🏙️ Dense |
| 70-90% | 10-30% | 10-30 | 🏗️ Very Dense |
| 90-100% | 0-10% | 0-10 | 🏢 Extremely Dense |
The Nighttime Lights (NTL) Score measures urban illumination intensity as a proxy for infrastructure quality and economic activity. Higher radiance = higher score (better infrastructure).
NTL Score = min(100, (avg_radiance / 50) × 100)| Avg Radiance (nW/cm²/sr) | Score | Category |
|---|---|---|
| 0-5 | 0-10 | 🌑 Dark — Minimal infrastructure |
| 5-15 | 10-30 | 🌙 Dim — Rural/developing |
| 15-25 | 30-50 | 🔆 Moderate — Residential |
| 25-35 | 50-70 | 💡 Bright — Active commercial |
| 35-50 | 70-100 | 💡 Very Bright — Major hub |
| ≥ 50 | 100 | 💡 Maximum — City centre |
The Water Bodies Score measures the presence of surface water (lakes, ponds, rivers, reservoirs) in and around an area. More water bodies = higher score (better livability).
Permanent Score = min(100, (permanent_water_pct / 10) × 100)Seasonal Score = min(100, (seasonal_water_pct / 15) × 100)Water Score = (Permanent × 0.7) + (Seasonal × 0.3)| Permanent Water % | Approx Score | Category |
|---|---|---|
| 0% | 0 | 🏜️ No water bodies |
| 0.1-1% | 7-10 | 💦 Minimal |
| 1-3% | 10-30 | 💧 Some water |
| 3-5% | 30-50 | 💧 Moderate |
| 5-10% | 50-100 | 🌊 Significant water |
| ≥ 10% | 100 | 🌊 Maximum — Lakefront |
The Population Density Score measures how crowded a neighbourhood is based on gridded population estimates. Lower density = higher score (less congestion, more space).
Pop Density Score = max(0, ((20000 - density_per_km²) / 20000) × 100)| Density (people/km²) | Score | Category |
|---|---|---|
| 0-2,000 | 90-100 | 🏡 Low Density — Spacious |
| 2,000-5,000 | 75-90 | 🏡 Moderate-Low |
| 5,000-8,000 | 60-75 | 🏘️ Moderate |
| 8,000-12,000 | 40-60 | 🏙️ Dense |
| 12,000-18,000 | 10-40 | 🏢 Very Dense |
| ≥ 20,000 | 0 | 🏢 Extremely Dense |
The Groundwater Score evaluates underground water balance and recharge conditions using high-resolution satellite-derived climate data. Higher soil moisture, positive recharge, and wetter PDSI = higher score.
| Parameter | Weight | Scoring Range |
|---|---|---|
| Soil Moisture (mm) | 30% | 0 = 0, 200+ = 100 |
| GW Recharge (mm/yr) | 25% | −200 = 0, +400 = 100 |
| PDSI (drought index) | 20% | −4 = 0, +4 = 100 |
| SM Trend (mm change) | 15% | −50 = 0, +50 = 100 |
| Precipitation (mm/yr) | 10% | 800 = 0, 1800 = 100 |
Score = (SM×0.30) + (Recharge×0.25) + (PDSI×0.20) + (Trend×0.15) + (Precip×0.10)