Assessment of the Impact of New Investments on Flood  Hazard-Study Case: The Bridge on the Warta River near Wronki

Dysarz, Tomasz; Wicher-Dysarz, Joanna; Sojka, Mariusz

doi:10.3390/w7105752

Cited by 10 publications

(12 citation statements)

References 5 publications

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“…The table of attributes includes position (X, Y), elevation (Z), code of point type and code of the land cover. The processing of the data enables interpolation of the bed, e.g., (Dysarz 2018a) and preparation of the model (Dysarz et al 2015). The computational cross sections are presented in Fig.…”

Section: Data Collectionmentioning

confidence: 99%

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Analysis of extreme flow uncertainty impact on size of flood hazard zones for the Wronki gauge station in the Warta river

et al. 2019

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In this paper, the impact of maximum flow uncertainty on flood hazard zone is analyzed. Two factors are taken into account: (1) the method for determination of maximum flows and (2) the limited length of the data series available for calculations. The importance of this problem is a consequence of the implementation of the EU Flood Directive in all EU member states. The factors mentioned seem to be among the most important elements responsible for potential uncertainty and inaccuracy of the developed flood hazard maps. Two methods are analyzed, namely the quantiles method and the maximum likelihood method. The maximum flows are estimated for the Wronki gauge station located in the reach of the Warta river. This simple river system is located in the central part of Poland. The length of the available data is 44 years. Hence, the series of the lengths 40, 30 and 20 years are tested and compared with reference calculations for 44 years. The hydrodynamic model HEC-RAS is used to calculate water surface profiles in steady state flow. The Python scripting language is applied for automation of HEC-RAS calculations and processing of final results in the form of inundation maps. The number of trials for each factor is not huge to keep the presented methodology useful in practice. The chosen measure of uncertainty is the range of variability for maximum flow values as well as inundation areas. The estimated values stressed the great importance of the factors analyzed for the uncertainty of the maximum flows as well as inundation areas. The impact of the data series length on the maximum flows is straightforward; a shorter data series gives a wider range of variability. However, the dependencies between other factors are more complex. Hence, the application of methodology based on the simulation and GIS data processing for assessment of this problem seems to be quite a good approach.

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Section: Data Collectionmentioning

confidence: 99%

“…It let to search the optimal roughness values from downstream to upstream, what simplifies the whole process. This procedure is described by Dysarz et al (2015). One of the relatively poorly known elements of HEC-RAS is HEC-RAS Controller (Goodell 2014).…”

Section: Modeling Of River Flowmentioning

confidence: 99%

Analysis of extreme flow uncertainty impact on size of flood hazard zones for the Wronki gauge station in the Warta river

et al. 2019

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“…The GIS systems were used for visualization of the flood hazard spread. They also include tools enabling the analysis of flood risk and identification of possible catastrophes [35,36].…”

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Possibilities of Controlling the River Outlets by Weirs on the Example of Noteć Bystra River

et al. 2020

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The possibility of effective control of selected dams in the Noteć Bystra river is analyzed. Such a control is expected to permit inundation of selected arable areas, e.g., peat grasslands, to avoid flooding of the city of Czarnków and the terrains located downstream. The chosen case study is the reach of the Noteć River between the dams Pianowka-Mikolajewo-Rosko. The analysis was made on the basis of simulations of the flow and regulation of dams in flood conditions. The flow peaks of hypothetical flood waves were designed according to the directions of the ISOK project (Informatyczny System Osłony Kraju przed nadzwyczajnymi zagrożeniami-IT System of the Country's Protection Against Extreme Hazards) as the maximum flows over 10-years (p = 10%), 100-years (p = 1%), and 500-years (p = 0.2%). The obtained results are presented as longitudinal profiles of the water surface, maps of inundated areas and maps of inundated soils. The main conclusion is that the robust control of dams reduces the peak of flow during flood wave propagation and forces inundation of the a priori selected areas. It helps to decrease the spatial range of the flood hazard and significantly reduces risk related to floods.Sustainability 2020, 12, 2369 2 of 20 reduce flood consequences [21,22]. Efficient decision support systems should permit analysis of weather forecasts as well as analysis of watershed outflow generation. Such a system should support determination of reservoir decision rules on the basis of all available information including reservoir capacity and current amount of water stored [23,24].The impacts of climate change on hydrological alteration such as floods and drought pose a significant threat to floodplain environments [25][26][27]. Integrated water resources management (IWRM) is a practical approach which promotes responsible development and management of water and land resources considering the main parts of sustainability, i.e., economy, equity, and environment [28,29]. Adaptation of existing water infrastructure to climate change is becoming an important strategy for water management in floodplain areas. Karpack et al. [30] have suggested that humans have impacted on floodplain functionality by changing the physical landscape of floodplains and by altering river flows. A generally accepted solution used for flood protection is construction of reservoirs [31,32]. This study shows that the water infrastructure (weirs and dams) located in rivers could also be effectively used for water management including flood protection as well as for regulation and control of seasonal inundation at floodplain areas. Similar results have been obtained by Contreras et al. [33], who have shown that river flood manipulations by weirs and sluice gates provide water for agricultural activity without costly infrastructural and technical investigations.Analysis of flood risk has become very important and is the basis for the EU Flood Directive that started to take effect from November 26th, 2007 [34]. The Directive obliges Poland as well as othe...

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“…Most often, these elements are indicated in the analysis using hydraulic models [10][11][12][13][14][15][16]. To make the application of these models possible, one must calculate flows with a given probability.…”

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confidence: 99%

“…In [17], a map of flood risk was developed based on analyses using the hydrological and hydraulic models simultaneously. Geographical information system (GIS) tools are often applied in analyses aimed at preparing a flood risk map [10,[18][19][20][21].…”

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confidence: 99%

Analysis of Probable Flows Based on the Rainfall-Runoff Model for Flood Scenarios: a Case Study of the Losse River Catchment (Germany)

Barszcz¹

2016

Pol. J. Environ. Stud.

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Directive 2007/60/EC [1] sets the framework of actions aimed at restricting the negative consequences connected with floods within the European Union. The implementation of the Directive in the Polish legal system was regulated by the amended "Water Law" Act of 5 January 2011 [2], which required member states to construct flood hazard maps and flood risk maps showing the potential adverse consequences associated with different flood scenarios by December 2013. Some of the first EU projects testing the methodology of developing such maps were the LABEL [3] and Flood Wise projects [4]. The methodology for compiling such maps in Poland was specified by a regulation [5]. Flood hazard maps contain information Pol. J. Environ. Stud. Vol. 25, No. 4 (2016), 1403-1413 AbstractThe procedure of the rainfall-runoff (R-R) model, based on the instantaneous unit hydrograph (IUH) method and used to calculate the probable flows in 8 profiles of the Losse river (on the stretch from 5+476 to 7+596 km) for three flood scenarios (Qextreme, Q1% and Q10%), has been presented in this work. A computer program developed by the author was used to conduct the analyses, enabling the flows to be simultaneously calculated for each of the analyzed profiles in response to 10 rainfall events of varying duration and a given exceedance probability.The obtained values of probable flows were recalculated into corresponding water table levels using the WSP-ASS program (Water Level Program). The extent of the flooding and water depths for three flood scenarios were calculated based on the levels of the water table and terrain elevation data ("Digital Terrain Model"). As a final effect of the analyses, flood hazard maps for the analyzed stretch of the Losse River were constructed, enabling the consequences of flooding to business activities, the infrastructure, the environment, and human health and life to be assessed.

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Assessment of the Impact of New Investments on Flood Hazard-Study Case: The Bridge on the Warta River near Wronki

Cited by 10 publications

References 5 publications

Analysis of extreme flow uncertainty impact on size of flood hazard zones for the Wronki gauge station in the Warta river

Analysis of extreme flow uncertainty impact on size of flood hazard zones for the Wronki gauge station in the Warta river

Possibilities of Controlling the River Outlets by Weirs on the Example of Noteć Bystra River

Analysis of Probable Flows Based on the Rainfall-Runoff Model for Flood Scenarios: a Case Study of the Losse River Catchment (Germany)

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