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The reactivation of Warsaw oxbow lakes as a leitmotiv of urban design

Solarek Krystyna

Journal of Water and Land Development

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2020

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no. 45

165--170

EN

Oxbow lakes occurring in floodplains are those natural elements that are subject to rapid changes, which may lead to their disappearance. These are extremely valuable ecosystems and landscape components, as well as water management units. However, they quickly disappear if they are not periodically fed with river water, which takes place especially when rivers are embanked. Such a situation occurs, among others in Warsaw, in the Vistula valley. There are many opportunities for the reactivation of oxbow lakes, including through technical activities. It is not always possible to restore the natural values of the valley in urbanized areas, however, oxbow lakes can then also play a recreational role and they can fulfill an important task in improving the quality of life, being also an important element of the public space system. The author has carried out research related to land development projects of the new district located in the Vistula River valley in Warsaw (the Siekierkowski Arc). Many different design solutions have been proposed, taking as a leitmotiv the restoration of oxbow lakes, for example: (1) reconstruction of the water channel in the former watercourse with the boulevard along its fragment and with the public park in another part, (2) water supplying of the existing oxbow lake through the green and blue infrastructure system. The author presents few urban designs carried out under her direction for this area and shows that creative reactivation of oxbow lakes can improve water conditions, and be beneficial for the introduction of a new, attractive development.

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Homogeneous regionalization via L-moments for Mumbai City, India

Parchure Amit Sharad, Gedam Shirish Kumar

Meteorology Hydrology and Water Management. Research and Operational Applications

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2019

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Vol. 7, Iss. 2

73--83

EN

This study identified homogeneous rainfall regions using a combination of cluster analysis and the L-moments approach. The L-moments of heavy rainfall events of various durations (0.25, 1, 6, 12, 24, 48, 72, 96, and 120 h) were analysed using seasonal (June-September) rainfall measurements at 47 meteorological stations over the period 2006- 2016. In the primary phase of this study, the homogeneity of Mumbai as a single region was examined by statistical testing (based on L-moment ratios and variations of the L-moments). The K-means clustering approach was applied to the site characteristics to identify candidate regions. Based on the most appropriate distribution, these regions were subsequently tested using at-site statistics to form the final homogeneous regions. For durations above 1h, the regionalisation procedure delineated six clusters of similarly behaved rain gauges, where each cluster represented one separate class of variables for the rain gauges. However, for durations below 1h, the regionalisation procedure was not efficient in the sense of identifying homogeneous regions for rainfall. Furthermore, the final clusters confirmed that the spatial variation of rainfall was related to the complex topography, which comprised flatlands (below or at mean sea level), urban areas with high rise buildings, and mountainous and hilly areas.

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Regional frequency analysis of extreme precipitation in northeastern Algeria

Dad S., Benabdesselam T.

Journal of Water and Land Development

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2018

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no. 39

27--37

EN

The aim of the study is to improve the quality of estimating of the annual maximum daily precipitations of the northeastern area of Algeria. The regional frequency analysis based on L-moments was used. The investigated area is represented by 58 measuring stations. The main stages of the study were the definition of homogeneous regions and the identification of the regional distribution. It has been defined that the study region is homogeneous in terms of L-moments ratios despite the climatic differences within the region. Among the different tested distributions; the generalised extreme value (GEV) distribution has been identified as the most appropriate regional distribution for modelling precipitation in the region. The growth curve, derived from the regional distribution, was established. Therefore, to estimate the different return period’s precipitation quantiles in a given site of the region, the mean precipitation of the site has to be multiplied by the corresponding regional quantile (growth factor). Comparison of the quantiles estimated from the regional and at-site frequency analysis showed that in the majority of stations (82.8%) at-site model underestimates the quantiles having high return periods.

PL

Celem pracy była poprawa jakości ocen maksymalnego w ciągu roku dobowego opadu na obszarze północno-wschodniej Algierii. Wykorzystano statystykę L-momentów do analizy częstotliwości regionalnej. Badany obszar jest reprezentowany przez 58 stacji pomiarowych. Głównymi etapami badania było zdefiniowanie regionów homogenicznych i identyfikacja rozkładu regionalnego. Stwierdzono, że badany region jest homogeniczny w znaczeniu proporcji momentów L, mimo różnic klimatycznych w obrębie regionu. Spośród testowanych rozkładów najbardziej odpowiedni do modelowania opadu w regionie okazał się uogólniony rozkład wartości ekstremalnych (GEV). Ustalono krzywą wzrostu wyprowadzoną z rozkładu regionalnego. Aby oszacować kwantyle okresów powtarzalności opadów dla danego stanowiska w regionie, średni opad w tym stanowisku należy pomnożyć przez odpowiedni kwantyl regionalny (czynnik wzrostu). Porównanie analizy częstotliwości w odniesieniu do regionu i stanowiska wykazało, że w większości stacji (82,8%) model stanowiskowy obniża wyniki oszacowania kwantyli o długim okresie powtarzalności.

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Comparison of Two Nonstationary Flood Frequency Analysis Methods within the Context of the Variable Regime in the Representative Polish Rivers

Strupczewski W. G., Kochanek K., Bogdanowicz E., Markiewicz I., Feluch W.

Acta Geophysica

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2016

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Vol. 64, no. 1

206--236

EN

Changes in river flow regime resulted in a surge in the number of methods of non-stationary flood frequency analysis. Common assumption is the time-invariant distribution function with time-dependent location and scale parameters while the shape parameters are time-invariant. Here, instead of location and scale parameters of the distribution, the mean and standard deviation are used. We analyse the accuracy of the two methods in respect to estimation of time-dependent first two moments, time-invariant skewness and time-dependent upper quantiles. The method of maximum likelihood (ML) with time covariate is confronted with the Two Stage (TS) one (combining Weighted Least Squares and L-moments techniques). Comparison is made by Monte Carlo simulations. Assuming parent distribution which ensures the asymptotic superiority of ML method, the Generalized Extreme Value distribution with various values of linearly changing in time first two moments, constant skewness, and various time-series lengths are considered. Analysis of results indicates the superiority of TS methods in all analyzed aspects. Moreover, the estimates from TS method are more resistant to probability distribution choice, as demonstrated by Polish rivers’ case studies.