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The runoff curve number (also called a curve number or simply CN) is an empirical parameter used in hydrology for predicting direct runoff or infiltration from rainfall excess. [1] The curve number method was developed by the USDA Natural Resources Conservation Service , which was formerly called the Soil Conservation Service or SCS — the ...
This approach is adopted from the NRCS (SCS) curve number method for estimating runoff. It assumes that the total infiltration capacity of a soil can be found from the soil's tabulated curve number. During a rain event this capacity is depleted as a function of cumulative rainfall and remaining capacity.
A logarithmic chart allows only positive values to be plotted. A square root scale chart cannot show negative values. x: the x-values as a comma-separated list, for dates and time see remark in xType and yType; y or y1, y2, …: the y-values for one or several data series, respectively. For pie charts y2 denotes the radius of the corresponding ...
A quad chart is a form of technical documentation used to briefly describe an invention or other innovation through writing, illustration and/or photographs. [1] Such documents are described as "quad" charts because they are divided into four quadrants laid out on a landscape perspective.
For a citation to appear in a footnote, it needs to be enclosed in "ref" tags. You can add these by typing <ref> at the front of the citation and </ref> at the end. . Alternatively you may notice above the edit box there is a row of "markup" formatting buttons which include a <ref></ref> button to the right—if you highlight your whole citation and then click this markup button, it will ...
The file format has been reverse-engineered and documentation of it is freely available. [7] [8] The file starts with bytes "ITSF" (in ASCII), for "Info-Tech Storage Format", which is the internal name given by Microsoft to the generic storage file format used for CHM files. [9] CHM files support the following features: Data compression (using LZX)
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k = number of factors (= 1 for these designs) L = number of levels; n = number of replications; and the total sample size (number of runs) is N = k × L × n. Balance dictates that the number of replications be the same at each level of the factor (this will maximize the sensitivity of subsequent statistical t- (or F-) tests).