Analysis of Hyetographs for Drainage System Modeling

Wartalska, Katarzyna; Kaźmierczak, Bartosz; Nowakowska, Monika; Kotowski, A.

doi:10.3390/w12010149

Cited by 32 publications

(14 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, Ishida et al [13] studied a growth in maximum rainfall in Northern California and predicted a significant increase in storm intensity by the end of the century. Researchers from Poland also came to similar conclusions [14,15]. Thus, it can be certainly stated that, in the future, during short-term rainfall, larger volumes of stormwater will flow into existing drainage systems.…”

Section: Introductionmentioning

confidence: 74%

A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System

Starzec

Dziopak

2020

Resources

View full text Add to dashboard Cite

To determine the effectiveness of the retention capacity utilization of traditional and innovative drainage systems equipped with damming partitions, the detailed model tests were carried out. The research results allowed indicating what values of the hydraulic parameter of the innovative drainage system should be adopted in order to effectively use the retention capacity of drainage collectors. The adoption of short distances between the LKR damming partitions and a high level of permissible rainfall of stormwater Hper turned out to be the most effective solution. In the most favorable conditions, the peak flow was reduced by up to 60% (717.46 dm3/s) compared to the values established in the traditional drainage system (1807.62 dm3/s). The benefits obtained resulted from the increased retention efficiency of the drainage system after equipping it with the damming partitions. It was found that the innovative system always achieved the maximum retention capacity with longer rainfall compared to the traditional system. In the real catchment area, an increase in the use of the retention capacity of the drainage system, from an initial value of 65% for a traditional system to almost 88% for an innovative system, was also found. Very large variability of the volume of accumulated stormwater in the conduits of the traditional and innovative drainage system was observed during rainfall, which generated the peak rainfall discharge in the innovative system. With rainfall of TRK duration, the innovative system accumulated up to 746.50 m3 more stormwater compared to a traditional system, which was 49.2% of the total retention capacity of the drainage system, with a value of 1515.76 m3. The approach to reduce the growing flood risk in cities provided the right approach to long-term urban drainage system planning, especially since traditional drainage systems are still the leading way to transport stormwater in cities. In addition, the innovative sewage system gives the possibility of favorable cooperation with any objects (LID) and retention tanks with any hydraulic model. The implementation of an innovative system allows achieving significant financial savings and reducing the need to reserve areas designated for infrastructure investments.

show abstract

Section: Introductionmentioning

confidence: 74%

A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System

Starzec

Dziopak

2020

Resources

View full text Add to dashboard Cite

show abstract

“…With this high-resolution DTM, a 2D hydraulic simulation of surface water runoff was performed using the software provided by BPI Hannover, as described in Section 3.5. Flood simulations are based on a statistical, region-specific rainfall event, i.e., a so-called Euler type II event (Wartalska et al, 2020) for the region of the study area, of one-hour duration and with a return period of 20 years. The friction parameter to account for flow energy losses was chosen according to Jankowski et al (2021).…”

Section: Building's Flood Risk Mappingmentioning

confidence: 99%

Determination of building flood risk maps from LiDAR mobile mapping data

Feng,

Xiao,

Brenner

et al. 2022

Preprint

View full text Add to dashboard Cite

With increasing urbanization, flooding is a major challenge for many cities today. Based on forecast precipitation, topography, and pipe networks, flood simulations can provide early warnings for areas and buildings at risk of flooding. Basement windows, doors, and underground garage entrances are common places where floodwater can flow into a building. Some buildings have been prepared or designed considering the threat of flooding, but others have not. Therefore, knowing the heights of these facade openings helps to identify places that are more susceptible to water ingress. However, such data is not yet readily available in most cities. Traditional surveying of the desired targets may be used, but this is a very time-consuming and laborious process. Instead, mobile mapping using LiDAR (light detection and ranging) is an efficient tool to obtain a large amount of high-density 3D measurement data. To use this method, it is required to extract the desired facade openings from the data in a fully automatic manner.This research presents a new process for the extraction of windows and doors from LiDAR mobile mapping data. Deep learning object detection models are trained to identify these objects. Usually, this requires to provide large amounts of manual annotations. In this paper, we mitigate this problem by leveraging a rule-based method. In a first step, the rule-based method is used to generate pseudo-labels. A semi-supervised learning strategy is then applied with three different levels of supervision. The results show that using only automatically generated pseudo-labels, the learning-based model outperforms the rule-based approach by 14.6% in terms of F 1 -score. After five hours of human supervision, it is possible to improve the model by another 6.2%.By comparing the detected facade openings' heights with the predicted water levels from a flood simulation model, a map can be produced which assigns per-building flood risk levels. Thus, our research provides a new geographic information layer for fine-grained urban emergency response. This information can be combined with flood forecasting to provide a more targeted disaster prevention guide for the city's infrastructure and residential buildings. To the best of our knowledge, this work is the first attempt to achieve such a large scale, fine-grained building flood risk mapping.

show abstract

“…Pan et al (2017) modified the Huff curves for the Guanghzou region of China after having analyzed the measured hyetographs of 71 intense storms. Wartalska et al (2020) developed design hyetograph shapes for the Jelena Gora region in Poland by applying the cluster analysis by k-means method on gauged pluviograph data over the period of 1960 through 2018. After having compared the four standard shapes proposed in DVWK (1984), the Euler type II in DWA (2006) which assumes that the highest intensity occurs at the end of one-third of rainstorm duration, and the Huff types of curves, Wartalska et al (2020) developed generalized dimensionless hyetographs for the Jelena Gora region separately for three classes of rainstorms: (1) the convective rainstorms of durations up to 120 min, (2) frontal rainstorms having durations: 120 < tr < 720 min, and low pressure events having durations longer than 12 h.…”

Section: State Of the Art On Design Storm Definitionmentioning

confidence: 99%

Snyder-gamma synthetic unit hydrograph

Açanal

2021

Arab J Geosci

View full text Add to dashboard Cite

By equating the time to peak and the peak flow rate computed by the formulae of the Snyder method to the abscissa and the ordinate of the peak point of the analytically modified density function of the 2-parameter gamma distribution, it is shown on a few real-life cases that such formed Snyder-gamma synthetic unit hydrograph satisfies very closely the one-third and two-thirds rule for the widths of the Snyder synthetic unit hydrograph at 50% and 75% of its peak (W50, W75). With the objective of bringing further closer together the four points at the tips of W50 and W75 of the fitted gamma distribution to those four points by the Snyder method, the time to peak of the synthetic unit hydrograph is allowed to vary within 50% and 150% of that given by the Snyder formula. In quite a few real-life cases considered in this study, by shifting the time to peak of the gamma synthetic unit hydrograph 20~40% of the time to peak by the Snyder formula, only about a 2 % improvement in matching the W50 and W75 points is achieved. Therefore, the modified density function of the 2-parameter gamma distribution whose two parameters are computed by equating its mode to the peak point of the synthetic unit hydrograph provides a reasonable curve for the overall shape of it.

show abstract

Analysis of Hyetographs for Drainage System Modeling

Cited by 32 publications

References 25 publications

A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System

A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System

Determination of building flood risk maps from LiDAR mobile mapping data

Snyder-gamma synthetic unit hydrograph

Contact Info

Product

Resources

About