The interval is typically quite subjective. If you are doing a large regional model and/or don't have a lot of good data to build your model, you may want to go with a larger interval of 5-10 meters. If you are doing a more localized model and/or you have lots of high quality data, you can use 1-3 meters. In either case, you typically calibrate until you are unable to lower the residual error any further, so ultimately you may want to adjust the interval so that the calibration targets (red, green, yellow bars) are helpful in showing the spatial distribution of the errors. For example, if your interval is too big, all of the targets will be green. If your interval is too small, all of your targets will be red. I hope this helps.
@ankitt25 Жыл бұрын
@@normjones yes it definitely does help. Can we go the other way around by estimating the transient head std. Deviations of observations wells and at 95% confidence interval obtain the head interval?
@normjones Жыл бұрын
@@ankitt25 Yes, you certainly can. But in my experience, that is rarely done. Remember that it is the standard deviation of the measurement error, not the standard deviation of measurement values.