IDAF (intensity-duration-area frequency) curves of extreme storm rainfall: a scaling approach

2002 ◽  
Vol 45 (2) ◽  
pp. 83-90 ◽  
Author(s):  
C. De Michele ◽  
N.T. Kottegoda ◽  
R. Rosso
Keyword(s):  
Metropolitan Area ◽  
Lognormal Distribution ◽  
Rainfall Intensity ◽  
Annual Rainfall ◽  
Dynamic Scaling ◽  
Scaling Properties ◽  
Scaling Relationships ◽  
Extreme Storm ◽  
Storm Rainfall ◽  
Frequency Curves

Intensity-duration-area frequency curves, IDAF, are determined for the evaluation of design storms using a scaling approach. The variability of maximum annual rainfall intensity in area and duration is represented through the scaling properties in time and space. Thus the scaling relationships of mean rainfall intensity with area and duration are derived using the concepts of dynamic scaling and statistical self-affinity. For a lognormal distribution of rainfall intensity a multiscaling lognormal model is obtained. This gives the IDAF curves of extreme storm rainfall. An application is made to the metropolitan area of Milano.

Static and dynamic scaling relationships in the light scattering properties of polystyrenes in good solvents

1989 ◽  
Vol 22 (3) ◽  
pp. 1374-1380 ◽  
Author(s):  
Mamta Bhatt ◽  
Alex M. Jamieson ◽  
Rolfe G. Petschek
Keyword(s):  
Light Scattering ◽  
Dynamic Scaling ◽  
Scaling Relationships

scholarly journals The Wet and Dry Spells across India during 1951–2007

2010 ◽  
Vol 11 (1) ◽  
pp. 26-45 ◽  
Author(s):  
Nityanand Singh ◽  
Ashwini Ranade
Keyword(s):  
Climate Change ◽  
Rainfall Intensity ◽  
Total Duration ◽  
Daily Rainfall ◽  
Annual Rainfall ◽  
Change Scenario ◽  
Monsoon Period ◽  
Northwestern India ◽  
Area Of Interest ◽  
Dry Spells

Abstract Characteristics of wet spells (WSs) and intervening dry spells (DSs) are extremely useful for water-related sectors. The information takes on greater significance in the wake of global climate change and climate-change scenario projections. The features of 40 parameters of the rainfall time distribution as well as their extremes have been studied for two wet and dry spells for 19 subregions across India using gridded daily rainfall available on 1° latitude × 1° longitude spatial resolution for the period 1951–2007. In a low-frequency-mode, intra-annual rainfall variation, WS (DS) is identified as a “continuous period with daily rainfall equal to or greater than (less than) daily mean rainfall (DMR) of climatological monsoon period over the area of interest.” The DMR shows significant spatial variation from 2.6 mm day−1 over the extreme southeast peninsula (ESEP) to 20.2 mm day−1 over the southern-central west coast (SCWC). Climatologically, the number of WSs (DSs) decreases from 11 (10) over the extreme south peninsula to 4 (3) over northwestern India as a result of a decrease in tropical and oceanic influences. The total duration of WSs (DSs) decreases from 101 (173) to 45 (29) days, and the duration of individual WS (DS) from 12 (18) to 7 (11) days following similar spatial patterns. Broadly, the total rainfall of wet and dry spells, and rainfall amount and rainfall intensity of actual and extreme wet and dry spells, are high over orographic regions and low over the peninsula, Indo-Gangetic plains, and northwest dry province. The rainfall due to WSs (DSs) contributes ∼68% (∼17%) to the respective annual total. The start of the first wet spell is earlier (19 March) over ESEP and later (22 June) over northwestern India, and the end of the last wet spell occurs in reverse, that is, earlier (12 September) from northwestern India and later (16 December) from ESEP. In recent years/decades, actual and extreme WSs are slightly shorter and their rainfall intensity higher over a majority of the subregions, whereas actual and extreme DSs are slightly (not significantly) longer and their rainfall intensity weaker. There is a tendency for the first WS to start approximately six days earlier across the country and the last WS to end approximately two days earlier, giving rise to longer duration of rainfall activities by approximately four days. However, a spatially coherent, robust, long-term trend (1951–2007) is not seen in any of the 40 WS/DS parameters examined in the present study.

Development of Rainfall Intensity-Duration-Frequency Curves Based on Dynamically Downscaled Climate Data: Arizona Case Study

2021 ◽  
Vol 26 (5) ◽  
pp. 05021005
Author(s):  
Amin Mohebbi ◽  
Simin Akbariyeh ◽  
Montasir Maruf ◽  
Ziyan Wu ◽  
Juan Carlos Acuna ◽  
...  
Keyword(s):  
Rainfall Intensity ◽  
Climate Data ◽  
Intensity Duration Frequency ◽  
Frequency Curves

scholarly journals Contrasting seasonality of storm rainfall and flood runoff in the UK and some implications for rainfall-runoff methods of flood estimation

2019 ◽  
Vol 50 (5) ◽  
pp. 1309-1323 ◽  
Author(s):  
Jamie Ledingham ◽  
David Archer ◽  
Elizabeth Lewis ◽  
Hayley Fowler ◽  
Chris Kilsby
Keyword(s):  
Soil Moisture ◽  
Risk Estimation ◽  
Daily Rainfall ◽  
Annual Rainfall ◽  
Rainfall Runoff ◽  
Frequency Model ◽  
Soil Moisture Storage ◽  
Flood Estimation ◽  
Storm Rainfall ◽  
The Uk

Abstract Using data from 520 gauging stations in Britain and gridded rainfall datasets, the seasonality of storm rainfall and flood runoff is compared and mapped. Annual maximum (AMAX) daily rainfall occurs predominantly in summer, but AMAX floods occur most frequently in winter. Seasonal occurrences of annual daily rainfall and flood maxima differ by more than 50% in dry lowland catchments. The differences diminish with increasing catchment wetness, increase with rainfalls shorter than daily duration and are shown to depend primarily on catchment wetness, as illustrated by variations in mean annual rainfall. Over the whole dataset, only 34% of AMAX daily flood events are matched to daily rainfall annual maxima (and only 20% for 6-hour rainfall maxima). The discontinuity between rainfall maxima and flooding is explained by the consideration of coincident soil moisture storage. The results have serious implications for rainfall-runoff methods of flood risk estimation in the UK where estimation is based on a depth–duration–frequency model of rainfall highly biased to summer. It is concluded that inadequate treatment of the seasonality of rainfall and soil moisture seriously reduces the reliability of event-based flood estimation in Britain.

scholarly journals The derivation of areal reduction factor of storm rainfall from its scaling properties

2001 ◽  
Vol 37 (12) ◽  
pp. 3247-3252 ◽  
Author(s):  
Carlo De Michele ◽  
Nathabandu T. Kottegoda ◽  
Renzo Rosso
Keyword(s):  
Reduction Factor ◽  
Scaling Properties ◽  
Areal Reduction Factor ◽  
Storm Rainfall

MUSLE Evaluation of Soil Loss on a Construction Site by Using Gauging Weirs

2012 ◽  
Vol 446-449 ◽  
pp. 2718-2721 ◽  
Author(s):  
Siti Isma Hani Ismail ◽  
Hooi Min Yee
Keyword(s):  
Soil Loss ◽  
Loss Rate ◽  
Rainfall Intensity ◽  
Empirical Modeling ◽  
Storm Event ◽  
Construction Site ◽  
Construction Sites ◽  
Impervious Cover ◽  
Storm Rainfall ◽  
Soil Loss Rate

During urbanization, large areas of soil are exposed to the risk of soil erosion due to extensive earthworks and construction activities. Runoff from construction sites is known by far the largest source of sediment clogging our waterways. Erosion occurred from the study area due to removal of vegetation, high rainfall intensity, alteration of existing topography, and the covering of previously vegetated surfaces with impervious cover such as roads, driveways and buildings. The main objective of this study is to evaluate the soil loss due to storm rainfall and runoff on a construction site located at Sungai Ara, Penang State of Malaysia. A purpose-built hydraulic structure namely Sharp Crested Rectangular Weir was constructed and installed on site for more reliable estimates of flow during storms. The soil loss was then evaluated by using an empirical modeling known as the Modified Universal Soil Loss Equation (MUSLE). Results showed that large amount of sediment has being eroded from the study area during these activities. The highest soil loss rate was estimated was 64 ton/ha during a storm event.

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