2016
DOI: 10.15244/pjoes/63781
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Assessment of Climate and Land Use Change Projections and their Impacts on Flooding

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Cited by 18 publications
(14 citation statements)
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“…Similarly, a study by Poelmans et al (2011) and Akter et al (2018) in Belgium also suggested that climate change was likely to cause a larger change in peak flows compared with the studied scenarios of urban expansion. However, these results contradict the findings of Rukundo & Dogan (2016), who suggested that land-use change impacts predominate the climate change impacts in overall assessment on flood peaks in Kigali, Rwanda. In quantitative terms, looking at Table 6, a 25-year flood runoff, for example, the ratio of climate only to landcover only flood magnitudes is in the range 1.13-1.20 in the past and 1.02-1.21 in the future.…”
Section: Impacts Of Climate and Land-cover Changes On Flood Runoff Frequenciescontrasting
confidence: 99%
See 1 more Smart Citation
“…Similarly, a study by Poelmans et al (2011) and Akter et al (2018) in Belgium also suggested that climate change was likely to cause a larger change in peak flows compared with the studied scenarios of urban expansion. However, these results contradict the findings of Rukundo & Dogan (2016), who suggested that land-use change impacts predominate the climate change impacts in overall assessment on flood peaks in Kigali, Rwanda. In quantitative terms, looking at Table 6, a 25-year flood runoff, for example, the ratio of climate only to landcover only flood magnitudes is in the range 1.13-1.20 in the past and 1.02-1.21 in the future.…”
Section: Impacts Of Climate and Land-cover Changes On Flood Runoff Frequenciescontrasting
confidence: 99%
“…Akter et al (2018) projected a higher contribution of climate change to peak flow in the future compared with urbanization. Contrary to most studies, Rukundo & Dogan (2016) suggested that land-use change impacts predominate the climate change impacts in overall assessment on flood peaks in Kigali, Rwanda.…”
Section: Graphical Abstract Introductioncontrasting
confidence: 73%
“…The functions are established for a past reference period for which large-scale reanalyses and local observations are available and then applied to climate projections. The SDSM (Statistical DownScaling Model) ( 141) is widely applied to disaggregate rainfall at the scale of an urban catchment (142,143). The quantile-based corrections can also be applied both on precipitation and temperature.…”
Section: Statistical Downscaling For Studying Future Climate Of Citiesmentioning
confidence: 99%
“…The use of projections of the future state of decision support systems can successfully integrate drivers of climate and land use changes and enable their impact assessment [36]. One of the most common relations between land development and climate issues in the urban heat island (UHI) effect.…”
Section: Introductionmentioning
confidence: 99%