Micro pulse lidar(MPL) is an effective tool for detecting atmospheric aerosol, cloud and mist, and visibility. It provides good stability and compact, convenient movement, accurate data and safe to eyes, etc. MPL’s principle and its two data processing methods including slope method and Fernald method are introduced. Its application in meteorology are also covered, including the following three aspects: the monitoring of horizontal visibility and foggy weather; the accurate detecting of the cloud information such as the height of cloud, the thickness of cloud layer, the extinction coefficient of cloud zone and the cloud layers; the vertical distinction of atmospheric aerosol and the spatial-temporal evolution of aerosol.

The passive differential optical absorption spectroscopy(DOAS) system, installed in a car, was applied in the detection of pollution source of the urban area and industrial area. The gas column density was obtained by the DOAS fitting process using the zenith scattered sunlight. The distribution and transportation of SO2 , NO2 in Chongqing urban area and an industrial area of Chongqing City were achieved in the observation experiments of these areas. The influence of emission flux from this industrial area to the main city of Chongqing under the southwest, southeast wind was significant, which was 0.37 kg/s, 0.36 kg/s for SO2 and 0.29 kg/s, 0.27 kg/s for NO2 . The experimental results indicated that the mobile DOAS technology was an effective means for the detection of regional distribution and transportation of pollution gases.

Volatile organic compounds (VOCs), which participate in photochemical reactions and come from a variety of sources, are main precursor of photochemical pollution, and also the critical pollutants that currently affect Chinese urban air quality. Multi-point source, plane source and unorganized emissions source of industrial production process are significant sources of them. The pollution situation is complex and has many unknown factors, so the convenient and fast monitoring measurement is lacking. The technology of solar occultation flux based on FTIR(SOF-FTIR)is used, which takes advantage of infrared radiation of direct sunlight, rapid scanning factory pollution area and real-time monitoring. This method with convenient operation and high maneuverability, can be used to analyze multicomponent samples with low concentration. Experimental analysis indicates that, this method can monitor the VOCs emission of chemical plant, give out its time and space distribution features rapidly, which will provide effective data support for environmental decision-making.

The cysteamine (CA) modified CdTe (CA-CdTe) quantum dots (QDs) with different particle sizes were prepared by hydrothermal method. And the fluorescence response of CA-CdTe QDs to Co2+ was measured and analysed. The results indicate that Co2+ can quench the fluorescence of CA-CdTe QDs. With the increase of Co2+ concentration, the fluorescence intensity of CA-CdTe QDs was gradually decreased. When Co2+ concentration is in the range of 0.3×10-5～33×10-5 mol·L-1, the Stern-Volmer quenching equation of the interaction between Co2+ and CA-CdTe QDs with particle size 3.60 nm is obtained, and the detection limit is 6.547×10-7 mol·L-1. The method of quantitative detection of Co2+ based on the CA-CdTe QDs fluorescence analysis method, is simple, rapid, and with low detection limits, which provides a theoretical basis for detecting Co2+ in real water samples.

La-doped nano TiO2 colorless and transparent hydrosol with an average particle size of 6.9 nm was synthesized by a novel complexation-controlled hydrolysis method at room temperature by using TiCl4 , organic carboxylic acid, stabilizer, surfactant, NH3 ·H2 O, La(NO3 )3 ·6H2 O, and D-sorbitol etc as raw materials. And the acid red 3R was studied by the photocatalytic degradation. To study the effects of reflux time, pH and concentration and reaction conditions of the synthesis process and properties of the materials, the optimum preparation conditions were found out. The samples were characterized by X-ray diffraction (XRD), UV-visible spectroscopy (UV-Vis), and nano particle size analyzer. The La-doped nano-TiO2 transparent photocatalyst exhibits optimal photocatalytic performance when the doping content was 0.1% and the refluxing time was 10 min, respectively. The degradation efficiency of acid red 3R dye solution with concentration 25 mg/L has reached 98% after being exposed to sunlight for 60 min.

PARASOL can be used in not only polarized measurements, but also intensity measurements. The intensity reflectance of typical land surfaces in PARASOL channels was analyzed, and dark dense vegetation (DDV) algorithm of PARASOL was developed. From PARASOL intensity measurements in the summer of 2006, the aerosol optical depth (AOD) was retrieved by the algorithm. By the comparison with Beijing Site of aerosol robotic network (AERONET), correlation coefficient was equal to 0.86, but when AOD was small, the retrieval error was large.

The effects of spectral resolution, spectral calibration accuracy, surface reflectance, atmospheric profile, and radiation resolution on the CO2 column sensitivity for hyperspectral sounding were simulated by the infrared radiation transfer model MODTRAN5. In the meantime, sounding radiance variation index S changing with the gas content was defined. And the relationship of sounding sensitivity, spectral resolution, and signal-to-noise ratio (SNR) were comprehensively analyzed. Results can be taken as the reference for designing future hyperspectral IR sensors and developing hyperspectral retrieval algorithm. The results can provide an important reference for channel selection about CO2 column inversion and analysis about CO2 sounding sensitivity parameter.

For image segmentation in which connectivity requirements are relatively high, region growing method has unique advantages. In the complex situtaion, that the computer can fast, completely and automatically select seed points is needed. Using two-dimensional OTSU pre-segmentation of the image can effectively solve the problem of seed points selection by using region growing image segmentation. Combined the image segmentation with petrochemical refining furnace tube, the feasibility and effectiveness of this method is discussed.