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  2. Runoff curve number - Wikipedia

    en.wikipedia.org/wiki/Runoff_curve_number

    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 ...

  3. Storm Water Management Model - Wikipedia

    en.wikipedia.org/wiki/Storm_Water_Management_Model

    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.

  4. Infiltration (hydrology) - Wikipedia

    en.wikipedia.org/wiki/Infiltration_(hydrology)

    Among these are the Green and Ampt (1911) [9] method, Parlange et al. (1982). [10] Beyond these methods, there are a host of empirical methods such as SCS method, Horton's method, etc., that are little more than curve fitting exercises.

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  6. Research design - Wikipedia

    en.wikipedia.org/wiki/Research_design

    A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...

  7. Preregistration (science) - Wikipedia

    en.wikipedia.org/wiki/Preregistration_(science)

    In the standard preregistration format, researchers prepare a research protocol document prior to conducting their research. Ideally, this document indicates the research hypotheses, sampling procedure, sample size, research design, testing conditions, stimuli, measures, data coding and aggregation method, criteria for data exclusions, and statistical analyses, including potential variations ...

  8. Completely randomized design - Wikipedia

    en.wikipedia.org/wiki/Completely_randomized_design

    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).

  9. Single-subject design - Wikipedia

    en.wikipedia.org/wiki/Single-subject_design

    In design of experiments, single-subject curriculum or single-case research design is a research design most often used in applied fields of psychology, education, and human behaviour in which the subject serves as his/her own control, rather than using another individual/group. Researchers use single-subject design because these designs are ...