###### Abstract
[24] proposed a method that uses line-of-sight (LOS) measurements of the Lidar and high-frequency motion data to compensate for the motion error. [PERSON] et al. [18] suggested a method that utilizes a mobile all-fiber Doppler wind Lidar based on a real-time motion wind retrieval algorithm method. The majority of the existing studies rely on postprocessing, which has certain limitations. However, many application scenarios, such as wind shear alarms, weather disaster prevention and control, and climate analysis, require real-time processing. [PERSON] et al. [25] built a coherent Doppler Lidar with a fiber-based configuration and evaluated its motion compensation function on a motion test platform. Unfortunately, the motion patterns were very limited, especially for the motion frequency. Lidar requires all-weather measurements. Single inertial navigation systems (INS) have the disadvantage of accumulating navigation errors over time. In this paper, the four-parameter method is applied to describe the motion deviation of a vehicle-mounted platform, and a new combined navigation system (CNS) is proposed for motion compensation. Mounting the dual global positioning system (GPS) antennas in the heading direction of the CNS enables the dual GPS to measure the position of two points and calculate the baseline heading to provide the initial heading. Furthermore, when one of the GPS antennas fails to be received, it is supplemented by observations from the INS, which are fed into the algorithm as measurements of the motion error. Therefore, it can overcome the influence of the attitude and speed of the platform motion on the extraction of Doppler frequency shift. To further validate the application of the vehicle-mounted CWML in environmental management, a preliminary analysis of the relationship between atmospheric wind fields and volatile organic compounds (VOCs) is also presented. VOCs are a complex group of organic substances that are highly volatile at room temperature, including hydrocarbons, oxygen-containing hydrocarbons, halogen-containing hydrocarbons, nitrogen hydrocarbons, sulfur hydrocarbons, low-boiling-point polycyclic aromatic hydrocarbons, and other complex components. VOCs originate from various biological and technological processes, and their levels in the air are very low, ranging from ppm (10\({}^{-12}\)) to ppm (10\({}^{-6}\)). Therefore, effective detection and analysis of the VOCs is essential. Conventional gas chromatography-mass spectrometry (GC-MS) [26] can detect and analyze static or slowly changing VOCs, but is unable to analyze VOCs with constantly changing concentrations in real time. Alternatively, direct injection mass spectrometry (DIMS) [27], with its real-time online analysis capability, offers a new approach for the detection and analysis of VOCs. Over the years, several DIMS techniques have been applied for the detection of VOCs based on the development of ionization techniques and mass detectors. Among them, proton transfer reaction mass spectrometry (PTR-MS) [28; 29] is the most mature approach. Compared to conventional mass spectrometry techniques, PTR-MS offers a higher sensitivity and saves time and effort in analyzing VOCs by eliminating the need for sample pre-processing [29]. To further understand the role of wind fields in the process of energy and material transport, concentrations of different groups of VOCs are detected using the proton transfer reaction time-of-flight mass spectrometer (PTR-TOF-MS) at three sampling sites simultaneously. Accordingly, this study reports the development of a vehicle-mounted CWML with a wavelength of 1.55 \(\upmu\)m. In this paper, we propose a method for calculating radial velocities from smoothed accumulated spectra to estimate wind vectors using the velocity azimuth display (VAD) scanning technique. The computational speed of the method can be greatly improved by dividing range gates for each radial direction and applying the same data processing to the signal of each range gate.