title: [Observation and Analysis of Ground Daylight Spectra of China's Different Light Climate Partitions].
abstract: The territory of China is vast, so the daylight climates of different regions are not the same. In order to expand theutilization scope and improve the utilization efficiency of solar energy and daylight resources, this article observed and analyzed the ground daylight spectra of China's different light climate partitions. Using a portable spectrum scanner, this article did a tracking observation of ground direct daylight spectra in the period of 380-780 nm visible spectrum of different solar elevation angles during one day in seven representative cities of china's different light climate partitions. The seven representative cities included Kunming, Xining, Beijing, Shenzhen, Nanjing, Nanchang and Chongqing. According to the observation results, this article analyzed the daylight spectrum changing law, compared the daylight spectrum curves of different light climate partitions cities, and summarized the influence factors of daylight spectral radiation intensity. The Analysis of the ground direct daylight spectra showed that the daylight spectral radiation intensity of different solar elevation angles during one day of china's different light climate partitions cities was different, but the distribution and trend of daylight power spectra were basically the same which generally was first increased and then decreased. The maximum peak of spectral power distribution curve appeared at about 475 nm, and there were a steep rise between 380-475 nm and a smooth decline between 475-700 nm while repeatedly big ups and downs appearing after 700 nm. The distribution and trend of daylight power spectra of china's different light climate partitions cities were basically the same, and there was no obvious difference between the daylight spectral power distribution curves and the different light climate partitions. The daylight spectral radiation intensity was closely related to the solar elevation angle and solar surface condition.
authors.forename: Shu-ying
authors.initials: SY
authors.lastname: Liang
authors.forename: Chun-yu
authors.initials: CY
authors.lastname: Yang