Influence of urban catchment characteristics and rainfall origins on the phenomenon of stormwater flooding: Case study

Szeląg, Bartosz; Suligowski, Roman; Paola, Francesco De; Siwicki, Piotr; Majerek, Dariusz; Łagód, Grzegorz

doi:10.1016/j.envsoft.2022.105335

Cited by 25 publications

(13 citation statements)

References 102 publications

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“…A rainfall duration time of tr = 30 min was adopted. According to Szeląg et al (2022) minutes) the problems with proper operating of stormwater network appear, which is confirmed by the values of specific flood volume for subsequent sub-catchments (Fig. 5a).…”

Section: Spatial Distribution Of Sensitivity Coefficients (Module 7)mentioning

confidence: 58%

“…2 and SWMM parameters established during calibration (Szeląg et al, 2016): for maximum convection rainfall intensity for tr = 30 min and Pt=9.62 mm for Kielce (Section 2 at Supplementary Materials). The calculations of Szeląg et al (2022) proved that in the urban catchment in question there is a hydraulic overload of the stormwater system due to convective rainfall. At the same time, the sensitivity coefficients for calibrated SWMM model parameters were calculated.…”

Section: Spatial Variability Of Sensitivity Coefficients (Module 7)mentioning

confidence: 98%

“…Computations confirmed that the uncertainty of calibrated parameters of hydrodynamic models has considerable impact on simulation results (Meresa and Romanowicz. 2017;Kiczko et al, 2018;Szeląg et al, 2022).…”

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confidence: 99%

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The role of catchment characteristics, sewer network, SWMM model parameters in urban catchment management based on stormwater flooding: modelling, sensitivity analysis, risk assessment

Szeląg

Kiczko

Wałek

et al. 2022

Preprint

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Abstract. Sustainable development of urban areas creates an increasing demand for computation tools supporting urban management strategies to mitigate the harmful impact of climate changes on the environment and quality of life, which would at the same time adapt coherently to the latest trends in architecture and urban planning. To date, hydrodynamic models of catchments have been used for this purpose. However, their application is limited due to the costs of model construction and problems with data acquisition. In this study an innovative algorithm for modelling specific flood volume is proposed, which can be applied to assess the need for stormwater network modernisation as well as for advanced flood risk assessment. In contrast to the currently used models, the approach adopted in this study includes characteristics of a catchment and of stormwater network, as well as calibrated model parameters expressing catchment retention and the conductivity of the stormwater network. In the proposed computation method, extended sensitivity analysis was conducted. Sensitivity coefficients of calibrated SWMM (Storm Water Management Model) model parameters were determined with regard to rainfall intensity, catchment and stormwater network characteristics. This extended sensitivity analysis enables an evaluation of the spatial variability of specific flood volume and sensitivity coefficients within a catchment, which is extremely important for identifying the most vulnerable areas threatened by flooding. This allows modernisation work to be focused on areas specifically susceptible to stormwater network failure. The measurement results for a catchment area in Kielce, Poland were used for the presentation of subsequent computation stages of the developed algorithm. The presented computation method facilitates the management of urban catchments and water resources in urban areas, which can be applied at the stage of urban development planning and be used to inform decisions regarding modernisation and operation of stormwater networks. One of such examples is the demonstration of the reduction of the probability of system failure with the threshold of permissible roughness of sewage pipes. The adopted approach also helps to identify the key characteristics of catchment, stormwater network and SWMM model parameters, which have the highest impact on the functioning of a stormwater network, which is extremely relevant in terms of assessing and mitigating uncertainty in simulation results.

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Section: Spatial Distribution Of Sensitivity Coefficients (Module 7)mentioning

confidence: 58%

Section: Spatial Variability Of Sensitivity Coefficients (Module 7)mentioning

confidence: 98%

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The role of catchment characteristics, sewer network, SWMM model parameters in urban catchment management based on stormwater flooding: modelling, sensitivity analysis, risk assessment

Szeląg

Kiczko

Wałek

et al. 2022

Preprint

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“…Thus, strong flooding can occur in urban regions. Moreover, considerable sanitary issues can appear due to the improper regulation of sewage coming out from network to the surface [24][25][26][27].…”

Section: Stormwatermentioning

confidence: 99%

The Applications of Graph Algorithms to Modeling of Integrated Urban Water Management System

Łazuka¹,

Futa²,

Jastrzębska³

et al. 2022

Adv. Sci. Technol. Res. J.

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The application of methods using graphs to model a variety of engineering issues has been known for several decades, but the application of graph algorithms to model the urban water management issues is a completely new approach. The article reviews the scientific literature on integrated urban water management systems in terms of the use of graph theory algorithms in this topic. Such a review has not been done before and constitutes a completely novel study. Some of the algorithms presented are directly derived from graph theory, while others were developed from other sciences, including environmental engineering or genetics, to solve specific engineering problems. The paper presents a general scheme and a brief description of the most important components of an integrated urban water management system. The necessary concepts of graphs were defined, the origin and the principle of graph algorithms used in modeling water management issues (Loop-By-Loop Cutting Algorithm, Hanging Gardens Algorithm, Tree Growth Algorithm, Dijkstra's Algorithm, Genetic Algorithm, and Bayesian Networks Algorithm) were described. Their use in modeling the issues in stormwater, sanitary sewage and water distribution system was described. A complete list of scientific literature in this field was provided.

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“…The logit models developed thus far in the context of flooding are limited to modeling the flooding from individual manholes and do not thoroughly consider the catchment characteristics in the context of stormwater floodings. On the other hand, the existing tools for catchment flooding identification in terms of large areas [ 45 , 46 ] are complex and difficult to implement. Therefore, there is a need to develop simple tools for flooding identification, which will allow their use in the catchment management phase and enable catchment management in terms of large area as well as the influence of local development conditions, including land use plans.…”

Section: Introductionmentioning

confidence: 99%

Flood occurrence analysis in small urban catchments in the context of regional variability

et al. 2022

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An original method for analyzing the influence of the meteorological, as well as physical-geographical conditions on the flooding of stormwater in small urban catchment areas is proposed. A logistical regression model is employed for the identification of the flooding events. The elaborated model enables to simulate the stormwater flooding in a single rainfall event, on the basis of the rainfall depth, duration, imperviousness of the catchment and its spatial distribution within the analyzed area, as well as the density of the stormwater network. The rainfall events are predicted considering the regional convective rainfall model for 32 rain gauges located in Poland, based on 44 years of rainfall data. In the study, empirical models are obtained to calculate the rainfall duration conditioning the flooding of stormwater in a small urban catchment area depending on the characteristics of the examined urban basins. The empirical models enabling to control the urbanization process of catchment areas, accounting for the local rainfall and meteorological characteristics are provided. The paper proposes a methodology for the identification of the areas especially sensitive to stormwater flooding in small urban catchment areas depending to the country scale. By employing the presented methodology, the regions with most sensitive urban catchments are identified. On this basis, a ranking of towns and cities is determined from the most sensitive to flooding in small urban catchment areas to the regions where the risk of flooding is lower. Using the method developed in the paper, maximum impervious catchment area are determined for the selected regions of the country, the exceedance of which determines the occurrence of stormwater flooding.

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Influence of urban catchment characteristics and rainfall origins on the phenomenon of stormwater flooding: Case study

Cited by 25 publications

References 102 publications

The role of catchment characteristics, sewer network, SWMM model parameters in urban catchment management based on stormwater flooding: modelling, sensitivity analysis, risk assessment

The role of catchment characteristics, sewer network, SWMM model parameters in urban catchment management based on stormwater flooding: modelling, sensitivity analysis, risk assessment

The Applications of Graph Algorithms to Modeling of Integrated Urban Water Management System

Flood occurrence analysis in small urban catchments in the context of regional variability

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