2013
DOI: 10.5194/hess-17-379-2013
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Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam

Abstract: Abstract. Urban development increases flood risk in cities due to local changes in hydrological and hydrometeorological conditions that increase flood hazard, as well as to urban concentrations that increase the vulnerability. The relationship between the increasing urban runoff and flooding due to increased imperviousness is better perceived than that between the cyclic impact of urban growth and the urban rainfall via microclimatic changes. The large-scale, global impacts due to climate variability and chang… Show more

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Cited by 471 publications
(280 citation statements)
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“…This is expected to exacerbate urban flooding in Can Tho with its very low topography and poor drainage system as reported in Apel et al (2016) and Huong and Pathirana (2013). In Can Tho the total inundation area is not affected by the high-dyke construction; however, 6 % of the city area is converted from shallow inundation with depths below 1 m to deep inundation above 1 m (Table S2).…”
Section: Impact Of High-dyke Development Derived From Hydraulic Modelmentioning
confidence: 98%
“…This is expected to exacerbate urban flooding in Can Tho with its very low topography and poor drainage system as reported in Apel et al (2016) and Huong and Pathirana (2013). In Can Tho the total inundation area is not affected by the high-dyke construction; however, 6 % of the city area is converted from shallow inundation with depths below 1 m to deep inundation above 1 m (Table S2).…”
Section: Impact Of High-dyke Development Derived From Hydraulic Modelmentioning
confidence: 98%
“…Time-series data from monitoring wells indicates that the average rate of hydraulic head decline is 0.3 m·yr −1 , which indicates land subsidence at an average rate of 16 mm·yr −1 [14]. However, because of the lack of data, the question remains as to exactly how much of the subsidence in the delta is due to groundwater extraction [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…The mean fuzzy similarity started from 35% in the window size of 30 m, and stopped to 87% in a window size of 330 m. A mean fuzzy similarity exceeded 50% at a spatial resolution of about 60 m (Figure 10). Through comparing the accuracies or similarities of urban growth models in other studies [53][54][55][56][57], we thought this CA model was able to simulate future urban growth. …”
Section: Accuracy Assessment Of Urban Growth Modelmentioning
confidence: 99%