Depending upon the distance of the seismic station from the epicentre, the quality of waveform data and the improvisation of the synthetic waveform on it is often a question. If the Pnl waveform segments are showing good fit then S wave components may show poor fit. How this can be improved through proper window and time selections.
Various research articles present a very straight forward approach for the presence of dense seismic stations but how the gCAP inversions can present good inversion results with less density of seismic station network.
For instance
"Synthetics and observed ground velocity were filtered in the same frequency bands (from 0.02 Hz to 0.1 Hz for the surface waves and from 0.05 Hz to 0.3 Hz for the Pnl). These frequency bands were chosen to maximize signal-to-noise ratios of data and to avoid short-wavelength structural heterogeneities. Synthetic seismograms have been computed using an average velocity model derived for the Italian territory as described by Scognamiglio et al. (2009)".
This may not suit my inversions and result in a lower variance reduction.
Your inputs will be much appreciated.
Dr Talha : Please take a look at the following RG Links:
Article Moment tensor inversion of waveforms: A two-step time-freque...
Article MOMENT TENSOR DETERMINATION USING A NEW WAVEFORM INVERSION TECHNIQUE
Six main public domain water quality models which are presently available for Rivers and streams are being captured in this article. These main models could produce important results if they are used in the correct manner, because they are different in terms of assumptions, strength and weaknesses, processes they represent, modeling capability and data input requirements. The Model review discussed includes, water quality analysis simulation program (WASP7), simulation catchment (SIMCAT), quality simulation along Rivers (QUASAR), and the temporal overall model for catchment (TOMCAT), QUAL2KW, QUAL2EU. The models are described individually according to a consistent set of criteria-conceptualization, model capability, model strengths, limitations, input data and how it utilized. The outcome showed that TOMCAT and SIMCAT are important in ASSESSING effect of point sources in a very simple way. The QUAL2KW, unlike the QUAL2EU where macrophytes play a major interaction, it can convert algal death to carbonaceous Biochemical Oxygen Demand (CBOD), thereby making it more suitable. In addition to the extensive requirement of data, it is expensive and time consuming to set up these complex models such as QUASAR and WASP7. Therefore, one model cannot be used for all the required functionalities. Choosing a model would depend on a specific application, financial cost and time availability. This article may be of help in choosing a suitable model for a specific water quality problem.
Article Water Quality Model for Streams: A Review
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