Based on daily meteorological data of sunshine hours，wind speed，air temperature and relative humidity at 80 weather stations from 1961 to 2008，the human comfort index in Gansu province was calculated and its spatial and temporal distribution was analyzed also．The results show that human comfort degree ranged from cool to comfort in Gansu，the cool days were 60 percent and comfort days were 40 percent of the whole year and there were no uncomfortable days in a year．The human comfort degree kept a higher level that the comfortable days were nearly six monthes in most places except for Gannan Plateau．The most comfort regions for human living were the southeastern part of Gansu province，including Wudu，Wenxian，Maiji，Tianshui，and the eastern and middle part as well as Hexi Corridor of Gansu province．In addition it indicated that comfortable days increased due to climate change．
According to the standards of the nationalwind power plant and wind energy resource assessmentmethodology, the spatial distribution ofwind energy in Jiuquan ofGansu Provincewas revealed by using different layer informationmeasured by six anemometer towers there, imultaneously, the variouswind parameterswere calculated and analyzed in the paper, which is useful for furtherunderstanding and application ofwind power in Jiuquan region.
Homogeneity of the climate data is p recondition on studying climate change. This paper used SNTH technique to test the homogeneity of climate series of Lanzhou meteorlogical station, and the inhomogeneity test on meteorological factors such as p recip itation, average temperature, maximum temperature, minimum temperature, average wind speed and sunshine hourswas conducted; meanwhile, the reason was analyzed based on the station history files and metadata information. The results show that inhomogeneity existed in time series of p recip itation, average temperature, maximum temperature, minimum temperature and sunshine hours, and the main reasons were relocation of station, changes of instruments, changes in statistic methods and urban heat island effect.
The new generation of "the synthetical system of operation and service on the northwest drought monitoring and fore is a synthetical system of operation service which has good physical foundation，stronger monitoring, prcdicting,and service abilities, higher automation degree and local characteristic of the northwest region. Relying on the short一term weather forecasting, this system gathers the weather information collecting, processing and information saving for an integral whole, and takes full advantage of the Internet technique and previous systems, data and information，takes up the systems and pro- ductions of the other sul〕一special subjects in the item，so that it saves the great capacity of computer space，avoids many rc- pcated labor, and it brings into play the positive function in the usually monitoring and forecasting service in recent years.
Using the microsoft access database system, a database of sandstorm in arid region in Northwest China has been created. We designed system of data mining (data mining machine), data maintaining ,data querying and data interface by C/S programming structure under database environment. When normal user doesn't know data format ,the data mining machine can achieve data query- ing and statistics according to any condition by visual interface ,and process data by all kinds of algorithms and come up with user needful data SeqLIenCe. Th1S System Can Olltpllt qLICrylng TCSLI1tS by graph ,teXt flle ,mapplng flle and SO On .The new data can he ap- pended by the data maintaining system easily.
In this paper, the distribution, causes and characteristics of geological calamity in Lanzhou city were analyzed, and the temporal and spatial distribution of geological calamity and intense rainstorm, the weather systems and the relation between geological calamity and rainstorm intensity were studied mainly. The critical precipitation index were set up and defending countermeasure was given, and these will he necessary for developing prediction and warning of geological calamity in Lanzhou city.
