SOLIDWASTE MANAGEMENT SYSTEM USING
SPATIAL ANALYSIS TOOLS


Building spatial data base

The spatial information of base layers (boundary, road network, distribution of buildings and dustbins) are generated using SOI maps of scale 1:1000 and field data collection. The vector layers of boundary, road network, buildings and dustbins were overlaid for further analyses.

Land cover analyses is done by computing NDVI with IRS 1C multi-spectral data.

Land use is done with the mapping of trees, buildings, etc. on the campus with the help of Global Positioning System (GPS). Vegetation analyses is carried out by dividing the campus in to one-hectare grids. Various vegetation indices [such as species density, tree density, diversity indices (Shannon-wiener and Simpson's indices), Evenness index] were calculated for each grid (Raja Raja Varma Murari, 1999). Overlaying these vegetative indices layers with equal weightage per layer, entire campus forms 15 zones. These zones correspond to the present land use pattern.

Distribution of bins in each zone and present collection routes was mapped.

Zones map and corresponding attribute data related to bins (such as total quantity and type of solid waste generated per day), a thematic map was created to get an overall idea of zones and its contribution in the total solid wastes generated at IISc campus.

With these spatial and attribute database the feasibility options of solid waste management and aspects of recycling were explored.