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An intensity-duration-frequency curve (IDF curve) is a mathematical function that relates the intensity of an event (e.g. rainfall) with its duration and frequency of occurrence. [1] Frequency is the inverse of the probability of occurrence. These curves are commonly used in hydrology for flood forecasting and civil engineering for urban ...
Lorenz curve – Graphical representation of the distribution of income or of wealth; Lotka's law – An application of Zipf's law describing the frequency of publication by authors in any given field; Menzerath's law – Linguistic law; Pareto distribution – Probability distribution
Time of concentration is useful in predicting flow rates that would result from hypothetical storms, which are based on statistically derived return periods through IDF curves. [4] [5] For many (often economic) reasons, it is important for engineers and hydrologists to be able to accurately predict the response of a watershed to a given rain event.
The Minkowski sausage [3] or Minkowski curve is a fractal first proposed by and named for Hermann Minkowski as well as its casual resemblance to a sausage or sausage links. The initiator is a line segment and the generator is a broken line of eight parts one fourth the length.
Capability curve of an electrical generator describes the limits of the active and reactive power that the generator can provide. The curve represents a boundary of all operating points in the MW/MVAr plane; it is typically drawn with the real power on the horizontal axis, and, for the synchronous generator , resembles a letter D in shape, thus ...
A Florida man has been charged in connection to the death of a woman who was found dead inside her home 30 years ago. Riviera Beach Police Chief Michael Coleman made the announcement Monday at a ...
Bonnets, bandanas, balaclavas—even the humble scarf—are replacing our beanies and caps. Shop picks from Zara, Aritizia, Jacquemus and more.
The generalized additive model for location, scale and shape (GAMLSS) is a semiparametric regression model in which a parametric statistical distribution is assumed for the response (target) variable but the parameters of this distribution can vary according to explanatory variables.