Font Size: a A A

The Construction And Application Research On The Multi-parameter Dataset For Raman Lidar

Posted on:2020-09-24Degree:MasterType:Thesis
Country:ChinaCandidate:H X WeiFull Text:PDF
GTID:2428330596479190Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
Based on the temperature and water vapor density data retrievecd by the synchronous detection system of atmospheric temperature and humicdity of Xilan University of Technology,a multi-parameter inversion algoritrlim of water vapor of lidar is researchecd.Saturatced water vapor pressure%water vapor pressure,relative humidity,dexiw poiint,depression of cdew point,mixing ratio,specific humidity and molar fraction are obtained.The comparison betxveen the inversion results and the data obtainecd by tlhe traditional lidar inversion algorithm shoxws goocd consistency,which verifies the correctness and reliability of the multi-parameter inversion algorithm of water vapor.Through MFC(Microsoft Foundation Classes)programming,the software of multi-parameter inversion algorithm of water vapor for lidar is designed.The functions of reading and querying data,inversion of nmulti-parameter data,display of inversion results and output are realized.Thus,the construction of nmulti-parameter dataset of water vapor for lidar is completed,which provides abundant data resources for further analysis of climate change.In view of the low detection height of temperature and humicdity data of licdar during,fog-haze?a data splicing teclhnique based on error analysis is researched.Tlhe temperature ancd relative humidity data of the lidar irn su]ny days are splicecd by using the model cdata.The comparison between the splicing results and the radiosoncde data shows goocd consistency;which verifies the correctness and reliability of the data splicing technology.The temperature and humidity splicing during fog-haze is carried out by using data splicing technology.A large number of layers of temperature and humidity are detectecd by lidar cduring fog-haze.Taking the sunny and fog-haze days in December 2013 as an example,the application research of multi-paranmeter datasets is carried out.(1)Using the multi-parameter inversion algorithm of' water vapor,the inversion ani analysis of the multi-parameter profile of xwater vapor in sunny days are carried out.The results show that water vapor in sunny days in Xi'an mainly distributes in the range of 0.0?3.0 km,and the content of water vapor above 3.0 km is almost zero.(2)The variation characteristics of water vapor parameters in fog-haze days are researched.Combined with NCEP(National Centers for Environmental Prediction)reanalysis data and water vapor data of lidar,synchronous analysis of water vapor parameters and atmospheric wind field before and after fog-haze in Xi'an area is carried out.The results show that in the height range of 1.5 km?3.0 km,before fog-haze,the humidity of air in Xi'an area increases due to the combined action of humid air mass and wind in the same direction;after fog-haze,the humidity of air in Xi'an area decreases due to the combined action of humid air mass and wind in the opposite direction.(3)Based on the multi-parameter data of water vapor and the data of relative humidity splicing at different altitudes,the distribution of water vapor parameters in the whole process of haze is analyzed.The results show that the water vapor content before and after fog-haze is low,while the water vapor content during the maintenance of fog-haze is high.The increase of water vapor content creates conditions for fog-haze generation,and the decrease of water vapor content provides favorable environmental conditions for fog-haze dissipation.
Keywords/Search Tags:Raman lidar, Multi-parameter, Data splicing, Fog-haze
PDF Full Text Request
Related items