计算光污染环境评价指标

IF 2.6 Q2 MULTIDISCIPLINARY SCIENCES Natural sciences (Weinheim, Germany) Pub Date : 2021-04-06 DOI:10.1002/NTLS.10019
F. Falchi, S. Bará
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引用次数: 11

摘要

光污染建模和监测传统上使用天顶亮度作为其主要指标。其他一些指标(例如平均天空辐射、水平辐射、天顶距离间隔内的平均天空辐射)可能对一般和特定的生态研究、夜空和环境监测更有用。这些指标可以在整个天空辐射已知足够的角度细节后计算。这意味着,对于每个站点,在数百公里的半径内整合每个光源在天空各个方向的贡献。这种方法非常耗时,如果映射需要一个大的区域。在这里,我们提出了一种方法来获得大区域的地图,为一个大子集的有用的指标,绕过需要首先计算整个天空的辐射地图在每个站点,以获得所需的指标在该站点。对于每一个指标,一个点扩散函数(PSF)是由一个单一光源在距离观测点足够密集的距离上生成的整个天空辐射图计算出来的。如果PSF是横向位移不变的,即如果它只依赖于源和观察者的相对位置,那么我们可以通过使用快速傅里叶变换(FFT)进一步加快映射计算。我们在这里给出不同指标的地图示例。通过特定的非均匀(空间变异)和各向异性(非旋转对称)psf,考虑到地点和光源高度,可以计算出任何单一地点的精确结果。
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Computing light pollution indicators for environmental assessment
Light pollution modelling and monitoring has traditionally used zenith sky brightness as its main indicator. Several other indicators (e.g. average sky radiance, horizontal irradiance, average sky radiance at given interval of zenith distances) may be more useful, both for general and for specific purposes of ecology studies, night sky and environmental monitoring. These indicators can be calculated after the whole sky radiance is known with sufficient angular detail. This means, for each site, to integrate the contribution in each direction of the sky of each light source in the radius of hundreds of km. This approach is extremely high time consuming if the mapping is desired for a large territory. Here we present a way to obtain maps of large territories for a large subset of useful indicators, bypassing the need to calculate first the radiance map of the whole sky in each site to obtain from it the desired indicator in that site. For each indicator, a point spread function (PSF) is calculated from the whole sky radiance maps generated by a single source at sufficiently dense number of distances from the observing site. If the PSF is transversally shift-invariant, i.e. if it depends only on the relative position of source and observer, then we can further speed up the map calculation via the use of fast Fourier-transform (FFT). We present here examples of maps for different indicators. Precise results can be calculated for any single site, taking into account the site and light sources altitudes, by means of specific inhomogeneous (spatially-variant) and anisotropic (non rotationally symmetric) PSFs.
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