| Title |
Intensity-Duration-Frequency (IDF) rainfall curves, for data series and climate projection in African cities
|
|---|---|
| Published in |
SpringerPlus, March 2014
|
| DOI | 10.1186/2193-1801-3-133 |
| Pubmed ID | |
| Authors |
Francesco De Paola, Maurizio Giugni, Maria Elena Topa, Edoardo Bucchignani |
| Abstract |
Changes in the hydrologic cycle due to increase in greenhouse gases cause variations in intensity, duration, and frequency of precipitation events. Quantifying the potential effects of climate change and adapting to them is one way to reduce urban vulnerability. Since rainfall characteristics are often used to design water structures, reviewing and updating rainfall characteristics (i.e., Intensity-Duration-Frequency (IDF) curves) for future climate scenarios is necessary (Reg Environ Change 13(1 Supplement):25-33, 2013). The present study regards the evaluation of the IDF curves for three case studies: Addis Ababa (Ethiopia), Dar Es Salaam (Tanzania) and Douala (Cameroon). Starting from daily rainfall observed data, to define the IDF curves and the extreme values in a smaller time window (10', 30', 1 h, 3 h, 6 h, 12 h), disaggregation techniques of the collected data have been used, in order to generate a synthetic sequence of rainfall, with statistical properties similar to the recorded data. Then, the rainfall pattern of the three test cities was analyzed and IDF curves were evaluated. In order to estimate the contingent influence of climate change on the IDF curves, the described procedure was applied to the climate (rainfall) simulations over the time period 2010-2050, provided by CMCC (Centro Euro-Mediterraneo sui Cambiamenti Climatici). The evaluation of the IDF curves allowed to frame the rainfall evolution of the three case studies, considering initially only historical data, then taking into account the climate projections, in order to verify the changes in rainfall patterns. The same set of data and projections was also used for evaluating the Probable Maximum Precipitation (PMP). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Portugal | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 219 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 19% |
| Student > Master | 34 | 15% |
| Researcher | 23 | 10% |
| Student > Doctoral Student | 20 | 9% |
| Lecturer | 13 | 6% |
| Other | 35 | 16% |
| Unknown | 56 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 73 | 33% |
| Environmental Science | 27 | 12% |
| Earth and Planetary Sciences | 25 | 11% |
| Agricultural and Biological Sciences | 8 | 4% |
| Medicine and Dentistry | 3 | 1% |
| Other | 14 | 6% |
| Unknown | 73 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 April 2017.
All research outputs
#6,403,199
of 22,747,498 outputs
Outputs from SpringerPlus
#394
of 1,853 outputs
Outputs of similar age
#61,089
of 221,061 outputs
Outputs of similar age from SpringerPlus
#14
of 59 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,853 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 77% of its peers.
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We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.