Hydrological modelling of urbanized catchments: A review and future directions

Salvadore, Elga; Bronders, Jan; Batelaan, Okke

doi:10.1016/j.jhydrol.2015.06.028

Cited by 354 publications

(304 citation statements)

References 150 publications

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“…Due to global climate change and rapid urbanization, urban waterlogging has become a serious problem in urban areas worldwide [4,5]. This has resulted in socio-environmental problems such as property damage, traffic paralysis, water pollution and economic losses [6][7][8], especially in rapidly developing countries [3]. In China, approximately 62% of Chinese cities suffered from urban waterlogging especially in larger cities such as Beijing, Shanghai, Guangzhou and Wuhan [9].…”

Section: Introductionmentioning

confidence: 99%

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Zhang

Cheng

et al. 2018

Sustainability

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An impervious surface is considered one of main factors affecting urban waterlogging. Previous studies found that spatial pattern (composition and configuration) of impervious surfaces affected urban waterlogging. However, their relative importance remains unknown, and the scale-effect of the spatial pattern on urban waterlogging has been ignored. To move forward, our research studied the relationship between spatial patterns on the impervious surface and its subcategories (building and pavement) on urban waterlogging risk spots using Pearson correlation, partial redundancy analysis and performed at three grid scales (1 km × 1 km, 3 km × 3 km, 5 km × 5 km) and the catchment scale based on different spatial resolution land cover maps (2 m, 10 m and 30 m). We identified positively-correlated metrics with urban waterlogging risk spots, such as the composition of impervious surface (i.e., total impervious surface, building, pavement) and the aggregation metric of the total impervious surface at most scales, as well as two negatively correlated metrics (i.e., proximity metric of building, fragmentation metric of total impervious surface). Furthermore, the total variance of urban waterlogging risk spots explained by the spatial pattern of the total impervious surface and its subcategories increased with studied grid and catchment scales while decreasing from a fine to a coarse resolution. The relative contribution of the impervious surface composition and configuration to the variation of urban waterlogging risk spots varied across scales and among impervious surface types. The composition contributed more than the configuration did for the total impervious surface at both grid and catchment scales. Similar to total impervious surface, the composition of buildings was more important than its configuration was at all the grid scales, while the configuration of buildings was more important at the catchment scale. Contrary to the total impervious surface, the configuration of pavement at both the grid and catchment scales mattered more than their compositions did. Furthermore, the composition of the building was more important than that of pavement, but its configuration mattered less. Our study could provide a multi-scale landscape perspective with detailed suggestions for controlling the area of impervious surface and optimizing its spatial configuration in urban waterlogging risk mitigation and urban planning.

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Section: Introductionmentioning

confidence: 99%

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Zhang

Cheng

et al. 2018

Sustainability

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“…The selection of a model depends on complexity, available resources, and modeling objectives [32]. The extensive review with appropriate applicable areas of the available hydrological models are well documented in the studies such as Zoppou [31], Elliott and Trowsdale [33], and Salvadore et al [34].…”

Section: Introductionmentioning

confidence: 99%

Understanding the Effects of Climate Change on Urban Stormwater Infrastructures in the Las Vegas Valley

2016

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Abstract:The intensification of the hydrological cycle due to climate change entails more frequent and intense rainfall. As a result, urban water systems will be disproportionately affected by the climate change, especially in such urban areas as Las Vegas, which concentrates its population, infrastructure, and economic activity. Proper design and management of stormwater facilities are needed to attenuate the severe effects of extreme rainfall events. The North American Regional Climate Change Assessment Program is developing multiple high-resolution projected-climate data from different combinations of regional climate models and global climate models. The objective of this study was to evaluate existing stormwater facilities of a watershed within the Las Vegas Valley in southern Nevada by using a robust design method for the projected climate. The projected climate change was incorporated into the model at the 100 year return period with 6 h duration depths, using a statistical regionalization analysis method. Projection from different sets of climate model combinations varied substantially. Gridded reanalysis data were used to assess the performance of the climate models. An existing Hydrologic Engineering Center's Hydrological Modeling System (HEC-HMS) model was implemented using the projected change in standard design storm. Hydrological simulation using HEC-HMS showed exceedances of existing stormwater facilities that were designed under the assumption of stationarity design depth. Recognizing climate change and taking an immediate approach in assessing the city's vulnerability by using proper strategic planning would benefit the urban sector and improve the quality of life.

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“…A notable illustration is the ongoing urbanization process that changes land cover and strongly influences the hydrological behaviour of urban catchments. Urban hydrological models were developed over the years and used to simulate the portion of the water cycle in urban environments (Refsgaard and Knudsen, 1996; Tech University of Darmstadt and Ostrowski, 2002;Salvadore et al, 2015;Hromadka, 1987;Daniel et al, 2011;Elliott and Trowsdale, 2007;Sarma et al, 1973;Blöschl and Sivapalan, 1995). They can be classified according to either the nature of the employed algorithms (empirical, conceptual or physically based; Salvadore et al, 2015), or their spatial resolution and how they represent the complexity of urban hydrology proPublished by Copernicus Publications on behalf of the European Geosciences Union.…”

Section: Introductionmentioning

confidence: 99%

Scale effect challenges in urban hydrology highlighted with a distributed hydrological model

Ichiba

Gires

Tchiguirinskaia

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Hydrological models are extensively used in urban water management, development and evaluation of future scenarios and research activities. There is a growing interest in the development of fully distributed and grid-based models. However, some complex questions related to scale effects are not yet fully understood and still remain open issues in urban hydrology. In this paper we propose a twostep investigation framework to illustrate the extent of scale effects in urban hydrology. First, fractal tools are used to highlight the scale dependence observed within distributed data input into urban hydrological models. Then an intensive multi-scale modelling work is carried out to understand scale effects on hydrological model performance. Investigations are conducted using a fully distributed and physically based model, Multi-Hydro, developed at Ecole des Ponts ParisTech. The model is implemented at 17 spatial resolutions ranging from 100 to 5 m. Results clearly exhibit scale effect challenges in urban hydrology modelling. The applicability of fractal concepts highlights the scale dependence observed within distributed data. Patterns of geophysical data change when the size of the observation pixel changes. The multi-scale modelling investigation confirms scale effects on hydrological model performance. Results are analysed over three ranges of scales identified in the fractal analysis and confirmed through modelling. This work also discusses some remaining issues in urban hydrology modelling related to the availability of high-quality data at high resolutions, and model numerical instabilities as well as the computation time requirements. The main findings of this paper enable a replacement of traditional methods of "model calibration" by innovative methods of "model resolution alteration" based on the spatial data variability and scaling of flows in urban hydrology.

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Hydrological modelling of urbanized catchments: A review and future directions

Cited by 354 publications

References 150 publications

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Understanding the Effects of Climate Change on Urban Stormwater Infrastructures in the Las Vegas Valley

Scale effect challenges in urban hydrology highlighted with a distributed hydrological model

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