Development of a Mie scattering lidar system for measuring whole tropospheric aerosols

Liu, Bo; Zhong, Zhiqing; Zhou, Jun

doi:10.1088/1464-4258/9/10/008

Cited by 16 publications

(5 citation statements)

References 6 publications

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“…Additionally, positioning the Lidar at this height minimizes the impact of any obstacles such as trees, buildings, or other structures, which may impact the accuracy and validity of the collected wind data. The combination of the 60° angle of emission and the ideal placement between 220 and 250 m ensures that the Lidar readings are accurate and closer to the wind conditions at the project development zone [18].…”

Section: Aep Based On Lidar Data 221 Lidar Measurement Campaignmentioning

confidence: 99%

Assessing annual energy production using a combination of lidar and mast measurement campaigns

Mkhaitari,

Mir,

Zazoui

2023

IJPEDS

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<span lang="EN-US">The current study evaluates the wind potential at early stage of wind project using met mast and lidar. The wind data obtained from a met mast located away from the turbines can be hindered by obstacles, leading to limited coverage and height, it negatively impacting the project's performances. To address the above limitations, the study suggests implementing a secondary measurement approach utilizing Lidars in various locations to cover the full study area. This work assesses the two measurements campaign and compares the wind potential evaluated with data measured by met mast and lidars. The simulations of two wind data base are quantified referring to the main key performance indicators for a project of total capacity of 140MW. The results show significant improvement in gross and net production for all exceedance scenarios, with 2% increase on the P90, and an improvement in the annual capacity factor by 1.09%. The use of Lidar data referenced to a met mast leads to accurate and bankable data, with the advances of cost and logistics, Lidars helps in layout configuration and performance evaluation.</span>

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Section: Aep Based On Lidar Data 221 Lidar Measurement Campaignmentioning

confidence: 99%

Assessing annual energy production using a combination of lidar and mast measurement campaigns

Mkhaitari,

Mir,

Zazoui

2023

IJPEDS

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“…Therefore, the abrupt change of the echo signal intensity can be used to determine the PBLH. A Mie-scattering lidar was employed for this study and its sketch is shown in Figure 1, which mainly includes the laser emission component, the telescope receiving component, the photoelectric conversion component, as well as the data acquisition and processing component [30,31]. A Mie-scattering lidar emits high-energy laser pulses to the atmosphere, which then collects the light signals from aerosol backscattering with telescope, and calculates the aerosol parameters according to a certain inversion model.…”

Section: A Mie-scattering Lidarmentioning

confidence: 99%

Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR)

et al. 2020

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The planetary boundary layer height (PBLH) is a vital parameter to characterize the surface convection, which determines the diffusion of air pollutants. The accurate inversion of PBLH is extremely important for the study of aerosol concentrations, in order to predict air quality and provide weather forecast. Aerosol lidar, a powerful remote sensing instrument for detecting the characteristics of atmospheric temporal and spatial evolution, can continuously retrieve the planetary boundary layer (PBL) and obtain high resolution measurements. However, multi-layer conditions, including one or more layers of aerosol, or cloud above the PBL, can seriously interfere the accuracy of PBLH determined by lidar. A new technique of maximum limited height initialization and range restriction (MLHI-RR) is proposed to eliminate the impact of multi-layer conditions on PBLH determination. Four widely used methods for deriving PBLH are utilized, in addition to the MLHI-RR constraint. Comparisons demonstrate that the proposed technique can determine the PBLH in multi-layer conditions with higher accuracy. The proposed technique requires no affiliate information besides lidar signals, which provide a convenient method for PBLH determination under complicated conditions.

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“…The procedure used for the signal overlap correction is described in [14], and the minimum range for complete overlap is around 90 m. Aerosol backscatter coefficient can be derived from Eq.…”

Section: Data Processingmentioning

confidence: 99%

Compact airborne Raman lidar for profiling aerosol, water vapor and clouds

et al. 2014

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A compact airborne Raman lidar system, which can perform water vapor and aerosol measurements both during nighttime and daytime is described. The system design, setup and the data processing methods are described in the paper. The Raman lidar was tested on University of Wyoming King Air research aircraft (UWKA) during the Wyoming King Air PBL Exploratory Experiment (KAPEE) in 2010. An observation showing clouds, aerosols and a dry line is presented to illustrate the lidar detection capabilities. Comparisons of the water vapor and aerosol measurements using the Raman lidar and other in situ airborne instruments show good agreement.

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Development of a Mie scattering lidar system for measuring whole tropospheric aerosols

Cited by 16 publications

References 6 publications

Assessing annual energy production using a combination of lidar and mast measurement campaigns

Assessing annual energy production using a combination of lidar and mast measurement campaigns

Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR)

Compact airborne Raman lidar for profiling aerosol, water vapor and clouds

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