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Outdoor Lighting and Crime - Amper

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A decade of satellite measurements of optical energy radiated from Earth’s populated areas<br />

(Cinzano, Falchi <strong>and</strong> Elvidge 2001a) appears to indicate a generally exponential growth of<br />

skyglow. Worldwide, only a few areas such as central India <strong>and</strong> some cities in Russia have<br />

shown a reduction in upward light emissions in recent years (NASA 2000, Sutton 2002).<br />

Satellite data for 1993 to 2000 has been analysed to determine that the total skyglow over the<br />

UK increased in this time by 24% (CPRE 2003).<br />

2.1.3 Skyglow, outdoor lighting <strong>and</strong> population<br />

With a moonless clear sky <strong>and</strong> well into the dark hours, the absolute values of both natural<br />

<strong>and</strong> artificial skyglow are dependent on geographical position <strong>and</strong> direction of observation.<br />

For the present purpose, the exponential growth in the artificial component added to the value<br />

of the natural component is a key issue. The luminance of the natural component varies<br />

according to the phase of solar activity. Garstang (1989a) used 53.7 nanoLambert (nL) (171<br />

µcd/m 2 , or 0.171 mcd/m 2 ) as the minimum, occurring at solar activity minimum, <strong>and</strong> 55 nL<br />

for the same quantity in Garstang (2000). Cinzano (2000d) allowed a 1 stellar magnitude 11<br />

increase over the minimum natural skyglow at solar maximum, which would give a value of<br />

0.43 mcd/m 2 <strong>and</strong> a logarithmic mean of 0.27 mcd/m 2 . The value used by Cinzano, Falchi <strong>and</strong><br />

Elvidge (2001b) as typical was close to the latter. The amount of artificial skyglow in remote<br />

rural areas can still be much smaller than the minimum natural value. In the total skyglow<br />

over large cities, however, the natural component, even at its maximum, generally became<br />

negligible decades ago.<br />

Walker’s law (eg Garstang 2000; Mizon 2002, p 65) is an empirical relationship for predicting<br />

the artificial component of sky luminance at 45º above a city with known characteristics at a<br />

known distance. A simplified version of the law is based on the assumption that the amount<br />

of outdoor lighting per member of the population is a constant. Astronomers such as Pike<br />

(1976) once hoped it to be so, but time has shown that this factor has continued to increase.<br />

Pike’s pioneering work on modelling skyglow growth in southern Ontario during the 1970s<br />

provided indications even then that the growth was exponential. His predictions about the<br />

Milky Way being blotted out in southern Ontario by 2000 have unfortunately proved correct.<br />

Garstang (1991) calculated the effect of airborne dust on skyglow. Desert dust <strong>and</strong> volcanic<br />

dust have closely comparable effects. Dust below about 10 km altitude reduces skyglow <strong>and</strong><br />

higher dust increases it. For the present purpose, the effect on skyglow is unimportant. The<br />

same conclusion applies to Los Angeles smog (Garstang 2000), so the effects of dust <strong>and</strong><br />

smog generally can be ignored in this document.<br />

Garstang (2000) calculated the growth of skyglow over Mount Wilson Observatory in<br />

California from 1910 to 1990 using a set amount of light flux emission (1000 lumen) per<br />

person from 124 cities in the Los Angeles basin. As in earlier papers, Garstang chose to<br />

exclude effects of changes in lighting technology, not because they were unimportant but to<br />

give a simpler basis for comparison of results. Within a large margin, the results were<br />

11 Historically, bright stars were of first magnitude <strong>and</strong> those near the limit of unaided vision,<br />

magnitude 6. The more modern logarithmic adaptation of this system has the five magnitude<br />

difference set to a factor of 100 in apparent intensity, so that each stellar magnitude represents<br />

a change in intensity of the fifth root of 100, about 2.512.<br />

8

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