Meso-scale meteorological numerical model WRF (Weather Research and Forecast) and the Fitch Wake model are adopted to reveal the intension and patch range of TWE (turbine wake effect) in various atmospheric stability, as well as the impact of different turbine configuration on utilization efficiency of wind energy. Case studies are conducted over Poyang Lake region. The results are as followed. Horizontally, the patch range of a single wind turbine’s TWE can reach 4 to 10 km downward, with a reduction in wind speed ranging from −0.2 to −1.2 m/s under different atmospheric instability. The reduction in wind speed is more severe with more turbines on the stream track. Among the five cases with different turbine location configuration, the wind speed reducing effect in square case (intensively distributed) is much more apparent than others, while the wind speed in TWE patch tends to recover quickly in hollow diamond case (sparsely distributed). Compared with unstable atmospheric stratification, the TWE under stable atmospheric stratification has a longer patch range, because the turbulent exchange of momentum is intenser in unstable stratification than that in stable stratification. Vertically, the QKE (twice of turbulent kinetic energy) at the wind turbine spot peaks in the core. QKE increases to its maximum value of 19 m2/s2 and then decreases to around zero. The maximum QKE appears at the level of about 90 m above ground level, while the vertical impact of TWE can be traced to a height of 1.1 km.
The correctness of the earthquake source spectra derived from array data with an iteratively stacking method is checked by analyzing the expressions of iterative stacking in each step. The expression of the finally derived source spectra term shows that it has nothing of the station term, but will be affected by the path term dependent on the source-receiver configuration, which is further confirmed by numerical simulations with iteratively stacking method. Considering stress drop might be wrongly estimated when stations or events are unevenly distributed, the paper provides a strategy to derive the correct stress drop in typical conditions of stationevent configurations. It will be helpful to correctly acquire seismic source information from seismic data.
Theoretical analysis quantitatively shows that high velocity anomaly near source, low velocity anomaly near receiver and the lateral velocity variation above the target inversion area have the influence of the same dimension of anomaly on the traditional inversion of 1-D wave velocity by triplicated wave arrival times. A quantitative computation scheme is proposed to remove the smearing effects with the help of regional or global tomography results when using 1-D inversion by triplicated wave arrival times. Tests imply that the velocity smearing could be eliminated to great extent and the real 1-D structure might be recovered.