Meteorological data reflects the changes in meteorological conditions in desertification control areas over a certain period of time. At present, there is still a lack of research on the comparative analysis of meteorological conditions between desertification control areas and untreated areas. This study conducted field investigations, set up iron towers in the area, and installed relevant instruments on the towers to obtain relevant data such as atmospheric pressure, water vapor pressure, and wind speed. This data helps to understand the improvement effect of local climate conditions by desertification control engineering teams.
To obtain environmental meteorological parameters of desertification control areas, the research team erected iron towers in the field survey area and installed relevant sensor equipment on the towers. The HMP155A sensor is used for continuous measurement of air temperature, relative humidity, and vapor pressure, providing high-precision data on air humidity conditions; The WindSonic two-dimensional ultrasonic anemometer is used to record wind speed and direction in real time, reflecting local wind field characteristics.
The collected raw meteorological data is imported into the computer through a data acquisition system and then processed in the MATLAB 2018b environment. Data processing includes smoothing filtering to remove instantaneous noise, baseline drift correction, and necessary unit conversion and time synchronization processing. The data of air temperature, humidity, and vapor pressure can be converted into related derived parameters (such as dew point temperature, specific humidity, etc.) through formulas. Wind speed and direction data can be used to calculate average wind speed, wind direction distribution, and turbulence characteristics. The processed data is stored in CSV format for further analysis of the impact of desertification control projects on local climate conditions, and provides basic data for model simulation and engineering optimization.
Meteorological data undergoes strict quality control to ensure reliability and traceability. The sensors were calibrated before deployment to ensure the accuracy of temperature, humidity, air pressure, and wind speed and direction measurements. During the observation process, the data acquisition system automatically records the raw data and regularly checks the operation status and data integrity of the sensors. Perform statistical analysis on repeated measurement results, remove outliers according to the 3 σ criterion, and ensure that there is no significant noise or abnormal fluctuations in the data. In addition, the measuring equipment has high temporal resolution and can capture short-term meteorological changes, ensuring the representativeness and stability of the data. The processed data is saved in standard format and double backed up for long-term preservation and subsequent analysis.
| # | number | name | type |
| 1 | 2020YFA0608400 | National key R & D plan |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.NCDC.DESERTIFICATION.DB7167.2026
10.12072/ncdc.desertification.db7167.2026
