scholarly journals The Value of Urban Flood Modeling

2020 ◽  
Author(s):  
B. R. Rosenzweig ◽  
P. Herreros Cantis ◽  
Y. Kim ◽  
A. Cohn ◽  
K. Grove ◽  
...  
Keyword(s):  
Flood Modeling ◽  
Urban Flood

scholarly journals A Data-Driven Hybrid Urban Flood Modelling Approach

10.29007/fbh3 ◽  
2018 ◽  
Author(s):  
Xiaohan Li ◽  
Patrick Willems
Keyword(s):  
Data Availability ◽  
Data Driven ◽  
Property Management ◽  
Flood Modeling ◽  
Urban Flood ◽  
Flood Modelling ◽  
Data Sparseness ◽  
Input Quality ◽  
Fully Adaptive ◽  
Urban Flood Modelling

Urban flood pre-warning decisions made upon urban flood modeling is crucial for human and property management in urban area. However, urbanization, changing environmental conditions and climate change are challenging urban sewer models for their adaptability. While hydraulic models are capable of making accurate flood predictions, they are less flexible and more computationally expensive compared with conceptual models, which are simpler and more efficient. In the era of exploding data availability and computing techniques, data-driven models are gaining popularity in urban flood modelling, but meanwhile suffer from data sparseness. To overcome this issue, a hybrid urban flood modeling approach is proposed in this study. It incorporates a conceptual model to account for the dominant sewer hydrological processes and a logistic regression model able to predict the probabilities of flooding on a sub-urban scale. This approach is demonstrated for a highly urbanized area in Antwerp, Belgium. After comparison with a 1D/0D hydrodynamic model, its ability is shown with promising results to make probabilistic flood predictions, regardless of rainfall types or seasonal variation. In addition, the model has higher tolerance on data input quality and is fully adaptive for real time applications.

scholarly journals A Simple and Robust Method for Simultaneous Consideration of Overland and Underground Space in Urban Flood Modeling

Water ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 494 ◽  
Author(s):  
Ah-Long Son ◽  
Byunghyun Kim ◽  
Kun-Yeun Han
Keyword(s):  
Underground Space ◽  
Robust Method ◽  
Flood Modeling ◽  
Urban Flood

scholarly journals SUITABLE DEM ASSESSMENT STUDY FOR DATA SCARCE CITIES TOWARDS URBAN EXTREME AND NUISANCE FLOOD MAPPING

2021 ◽  
Vol V-4-2021 ◽  
pp. 161-168
Author(s):  
A. Akkimi ◽  
S. Dutta
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Developed Countries ◽  
Flood Mapping ◽  
Topographic Wetness Index ◽  
Flood Modeling ◽  
Alos Palsar ◽  
Urban Flood ◽  
Medium Resolution ◽  
Vertical Accuracy

Abstract. The high-resolution accurate topography data should be used for extreme and nuisance flood inundation modeling and mapping in cities, but not available for many cities, including most developed countries. It is necessary to study and identify an alternate open-source topographic model that satisfies high-resolution topography datasets’ conditions. We analyzed the open-source DEMs visually, elevation histogram statistics, streams and watershed identification, contour statistics, Topographic Wetness Index, and vertical accuracy of other medium-resolution DEMs compared with high-resolution LiDAR data over New York City to determine alternative open-source Digital Elevation Model in the context of urban flood modeling. In high urban sprawl areas, in the context of flood mapping, our findings have shown that the medium resolution DEMs predicted similar to high-resolution DEMs with the same linear errors around RMSE 25–35ft and LE90 30–40ft. Overall, the ALOS AW3D performed better than other open-source DEMs. Even though SRTM predicted well, it inducted smoothness in DEM where more buildings were located. It noted that ALOS PALSAR DEM is not suitable for any urban studies. ASTER DEM has also shown good agreement with LiDAR and observed elevations, but it induced by noise while processing. Finally, it can be suggested that the ALOS AW3D can be used as an alternative source for urban flood modeling which represented footprints of buildings even though it performed average in vertical accuracy.

scholarly journals Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment

2020 ◽  
Vol 8 ◽  
Author(s):  
Louise Petersson ◽  
Marie-Claire ten Veldhuis ◽  
Govert Verhoeven ◽  
Zoran Kapelan ◽  
Innocent Maholi ◽  
...  
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Flood Modeling ◽  
Urban Flood ◽  
Community Mapping

scholarly journals Urban flood modeling with porous shallow-water equations: A case study of model errors in the presence of anisotropic porosity

2015 ◽  
Vol 523 ◽  
pp. 680-692 ◽  
Author(s):  
Byunghyun Kim ◽  
Brett F. Sanders ◽  
James S. Famiglietti ◽  
Vincent Guinot
Keyword(s):  
Shallow Water ◽  
Shallow Water Equations ◽  
Model Errors ◽  
Flood Modeling ◽  
Urban Flood

scholarly journals Urban Stormwater Modeling with Local Inertial Approximation Form of Shallow Water Equations: A Comparative Study

2021 ◽  
Author(s):  
Weiqi Wang ◽  
Wenjie Chen ◽  
Guoru Huang
Keyword(s):  
Shallow Water ◽  
Computational Efficiency ◽  
Environmental Protection Agency ◽  
Shallow Water Equations ◽  
Drainage System ◽  
Flood Modeling ◽  
Urban Stormwater ◽  
Urban Flood ◽  
Storm Water Management Model ◽  
Form Model

AbstractThis study focused on the performance and limitations of the local inertial approximation form model (LIM) of the shallow water equations (SWEs) when applied in urban flood modeling. A numerical scheme of the LIM equations was created using finite volume method with a first-order spatiotemporal Roe Riemann solver. A simplified urban stormwater model (SUSM) considering surface and underground dual drainage system was constructed based on LIM and the US Environmental Protection Agency Storm Water Management Model. Moreover, a complete urban stormwater model (USM) based on the SWEs with the same solution algorithm was used as the evaluation benchmark. Numerical results of the SUSM and USM in a highly urbanized area under four rainfall return periods were analyzed and compared. The results reveal that the performance of the SUSM is highly consistent with that of the USM but with an improvement in computational efficiency of approximately 140%. In terms of the accuracy of the model, the SUSM slightly underestimates the water depth and velocity and is less accurate when dealing with supercritical flow in urban stormwater flood modeling. Overall, the SUSM can produce comparable results to USM with higher computational efficiency, which provides a simplified and alternative method for urban flood modeling.

scholarly journals Advances in Urban Stormwater Management in Japan: A Review

2021 ◽  
Vol 16 (3) ◽  
pp. 310-320
Author(s):  
Yoshihiro Shibuo ◽  
Hiroaki Furumai ◽  
◽  
Keyword(s):  
Stormwater Management ◽  
Global Climate ◽  
Flood Modeling ◽  
Urban Stormwater ◽  
Modeling Framework ◽  
Spatiotemporal Resolution ◽  
Urban Flood ◽  
Urban Stormwater Management ◽  
Structural Measures ◽  
The Impact

The series of annual flood disasters that struck Japan in recent years pose challenges to urban stormwater management. Japan has been implementing nation-wide hydrometeorological observation through a dense network of rain gauges. Since the recent decade, ground radars have been deployed to observe heavy rainfall with high spatiotemporal resolution as a countermeasure. While commercial software is popular in designing stormwater drainage systems, several integrated urban flood models have been developed domestically and are applicable in stormwater management. A paradigm shift with the rise of Internet of Things (IoT) provides an inexperienced opportunity in hydrological observation, and has been implemented for monitoring sewer network conditions. Despite this broad scope of research works and technological innovations, such advancement is not internationally recognized yet. The present study aims to review the development and role of science and technology in stormwater management in Japan, focusing specifically on rainfall observation, integrated urban flood modelling, and emerging technologies for stormwater monitoring. In addition, the possible future direction of stormwater management is envisioned. Considering the series of record-breaking rainfall events that struck Japan, we will have to face more severe challenges in urban flood management alongside the impact of global climate change. As compared to structural measures, which are subject to budgetary constraints, the relative importance of non-structural measures is increasing; therefore, effective application of numerical modeling techniques is required. A common weakness of the urban flood modeling framework is the limited availability of observations in sewer networks, which can be relaxed by emerging IoT based observations. The fusion of IoT based observations with an integrated urban flood modeling technique appears to the emerging technology for stormwater management.

Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment

2021 ◽  
Author(s):  
Louise Petersson ◽  
Marie-Claire ten Veldhuis ◽  
Govert Verhoeven ◽  
Zoran Kapelan ◽  
Innocent Maholi ◽  
...  
Keyword(s):  
Risk Management ◽  
Data Acquisition ◽  
Flood Risk ◽  
Drainage System ◽  
Flood Risk Management ◽  
Future Research ◽  
Flood Modeling ◽  
Flood Prediction ◽  
Urban Flood ◽  
Community Mapping

<p>We demonstrate a framework for urban flood modeling with community mapped data, particularly suited for flood risk management in data-scarce environments. The framework comprises three principal stages: data acquisition with survey design and quality assurance, model development and model implementation for flood prediction. We demonstrate that data acquisition based on community mapping can be affordable, comprehensible, quality assured and open source, making it applicable in resource-strained contexts. The framework was demonstrated and validated on a case study in Dar es Salaam, Tanzania. The results obtained show that the community mapped data supports flood modeling on a level of detail that is currently inaccessible in many parts of the world. The results obtained also show that the community mapping approach is appropriate for datasets that do not require extensive training, such as flood extent surveys where it is possible to cross-validate the quality of reports given a suitable number and density of data points. More technically advanced features such as dimensions of urban drainage system elements still require trained mappers to create data of sufficient quality. This type of mapping can, however, now be performed in new contexts thanks to the development of smartphones. Future research is suggested to explore how community mapping can become an institutionalized practice to fill in important gaps in data-scarce environments.</p>

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