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The influence of mineral and anthropogenic dust components on theVIS-NIR-SWIR spectral reflectance of artificial laboratory dust mixtures wasevaluated and used in combination with Partial Least Squares (PLS)regression to construct a model that correlates the dust content with itsreflectance. Small amounts of dust (0.018–0.33 mg/cm<sup>2</sup>) were collectedusing glass traps placed in different indoor environments in Tel Aviv,Israel during the spring and summer of 2005. The constructed model wasapplied to reflectance spectroscopy measurements derived from the field dustsamples to assess their mineral content. Additionally, field samples wereexamined using Principal Component Analysis (PCA) to identify the mostrepresentative spectral pattern for each season. Across the visible range ofspectra two main spectral shapes were observed, convex and concave, thoughspectra exhibiting hybrid shapes were also seen. Spectra derived from springseason dust samples were characterized mostly by a convex shape, whichindicates a high mineral content. In contrast, the spectra generated fromsummer samples were characterized generally by a concave shape, whichindicates a high organic matter content. In addition to this seasonalvariation in spectral patterns, spectral differences were observedassociated with the dwelling position in the city. Samples collected in thecity center showed higher organic content, whereas samples taken fromlocations at the city margins, near the sea and next to open areas,exhibited higher mineral content. We conclude that mineral componentsoriginating in the outdoor environment influence indoor dust loads, evenwhen considering relatively small amounts of indoor settled dust. Thesensitive spectral-based method developed here has potentially manyapplications for environmental researchers and policy makers concerned withdust pollution

Reflectance spectroscopy of indoor settled dust in Tel Aviv, Israel: comparison between the spring and the summer seasons