Description Usage Arguments Details Value References See Also Examples
View source: R/estimate_formation_head.R
'estimate_formation_head' takes a vector of transmissivity and a vector of associated blended head measurements. The formation head is then determined as each interval is added. The transmissivity and blended head values should be ordered so that the monitoring interval is incrementally increased with each value. An example application would be the FLUTe reverse head methodology
1 | estimate_formation_head(transmissivity, blended)
|
transmissivity |
the transmissivity distribution for each interval |
blended |
the blended head value |
'estimate_formation_head' calculates the formation head using the following formula:
^fh_i = \frac{∑\limits_{i=1}^{i} Δ T_i (^bh_i - ^fh_i)}{T_i} + ^bh_1
where:
* h_{blended} is the blended head in the well * Δ T_i is the difference in transmissivity between increasingly larger interval. * ^fh_i is the formation head of the newly exposed interval * ^bh_i is the blended head of the increasingly larger interval * ^bh_1 is the blended head of the first interval * i is the interval number
a single value of the blended head
Keller, C. (2017). A New Rapid Method for Measuring the Vertical Head Profile. Groundwater, 55(2), 244-254.
Other blended head methods:
blended_head_change()
,
estimate_blended_head()
,
estimate_missing()
,
plot_blended()
1 2 3 4 5 6 | transmissivity <- abs(rnorm(10, sd = 100)) # random T distribution
cumulative_transmissivity <- cumsum(transmissivity)
head <- sort(rnorm(10)) # decreasing head with depth
formation_head <- estimate_formation_head(cumulative_transmissivity, head)
estimate_blended_head(transmissivity[1:3], formation_head[1:3])
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