This study on the scaling of rainfall fractions is the first in the UK, and its findings are of importance to modellers and designers of sewer systems because it can provide more robust scenarios for flooding mitigation in urban areas.
To represent the role of fine-scale variability of rainfall in the process of formation of breeding pools, we therefore disaggregated the CRU data into an hourly rainfall time series [see Supplemental Material, Methods: Disaggregation of CRU data into hourly rainfall series (p. 8)].
Thus, in addition to the scaling of the rainfall volume, the scaling relationship for the rainfall temporal pattern with temperature needs to be investigated by deriving the scaling values for each fraction within storm events, which is lacking in many parts of the world including the UK.
The core components of the framework include the scaling model of rainfalls of different durations, the establishment of relationship between annual maximum daily rainfall and rolling-time 1440 min rainfall, the quantification of statistical features of estimated annual maximum 1440 min rainfalls, and the assessment of uncertainty of derived rainfall DDF relationships at conventional raingauges.
The scaling of the rainfall moments has been analyzed and the empirical moments scaling exponent functions have been obtained.
This phenomenon seems to result from the spatial vicinity and small-scale spatial variability of rainfall intensity and antecedent soil moisture.
Small-scale spatial variability of rainfall could also be caused by various topographical parameters such as elevation, slope, and slope aspect (Agnew and Palutikof 2000; Marquínez et al. 2003).
At the time scale of a single rainfall event and at the megascopic scale of the lysimeter, the bacteria density or flux increases with the water flux of the drained water.
The parameters are somewhat temperature-dependent, and the slope also scales with the rate of rainfall \langle d \rangle^{-1}=41 R^{-0.21} (d in centimeters and R in millimetres per hour).
