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Number of results: 9
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Abstract

The composite weir-gate structure is considered an important hydraulic structure. This is because of its widely used in civil engineering hydraulic works especially in an irrigation system to measure, control, divert and keep the required water level. This study focuses on the influence of barrier existence on the hydraulic parameters that described the hydraulic characteristics of composite weir-gate hydraulic structure. In this study, several experimental runs were conducted to determine the effect of barrier's location, spacing and number on the water level and depth at the downstream region of flume, discharge coefficient of composite hydraulic structure, and flow rate throughout the flume. Our experiments indicated that the turbulence intensity, inlet effect, and position, gap, and number of barriers have affected the hydraulic behavior of weir-gate structure. This appears clearly by obtaining different results of discharge coefficient and flow rate that cross the weir-gate structure comparing with same cases without barriers. Also this study gives some insights on the significance roles of fluid separation, eddies generation near the barrier, fluid resistance and overlap between overflow and underflow velocities and their effects on hydraulic factors that dominate the problem. These hydraulic factors must be considered in the design and construction of barrier/barriers in open channel to prevent any fluctuation or drop in discharge, water elevation and the required water depth at downstream region.

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Authors and Affiliations

Rafi M. Qasim
Ihsan A. Abdulhussein
Khalid Al-Asadi
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Abstract

A sediment core, 350 cm long recovered from Młynek Lake, northern of Poland (Warmia and Masuria Region) was analyzed with respect to their content of diatoms and chrysophyte cysts. The aim was to reconstruct the lake water level and climatic changes during the past 2500 years. The recognized diatom assemblages displayed marked floristic changes along the sediment core samples. The main change in diatom composition consists of a shift from an assemblage dominated by benthic Fragilaria sensu lato species through marked intervals to a planktonic one in distinct zones. A high proportion of benthic to plankton taxa has been reported as indicative for a lowering of the lake level with long ice cover in a cold dry climate and a shift from benthic to planktonic diatom taxa reflects arising water level with longest growing season and reduced ice cover on the lake during a warm wet climate. Multivariate statistical analysis included hierarchical ascending clustering distinguished four diatom ecological groups. The analyzed core section was divided into 11 diatom zones according to a distribution of ecological groups and variation in abundance of dominant species supported by 14C data. The results displayed a developmental history of the Młynek Lake that can be divided into 6 main phases of alternating warm wet and cold dry shifts. A distinct dominance of planktonic eutrophic indicator diatoms accompanied by a low abundance of chrysophyte cysts indicates increased lake trophicity and a general trend for the increasing anthropogenic impact.

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Authors and Affiliations

Abdelfattah Zalat
Fabian Welc
Jerzy Nitychoruk
Leszek Marks
Marta Chodyka
Łukasz Zbucki
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Abstract

The runoff coefficient is one of the fundamental hydrological characteristics of a catchment. It indicates a share of the precipitation water that runs off from the catchment.

The results of the runoff coefficient calculation based on measurements carried out continuously in the Cerhovický Stream catchment over a considerable period of time, i.e. from 1988 up to 2006 are presented. The precipitation and runoff data in the catchment were used. Mean value of the runoff coefficient and the runoff coefficients for the agricultural and forest parts of the catchment are presented. The total mean runoff coefficient for the Cerhovický Stream is 0.19 with the standard deviation of 0.06. Mean runoff coefficient for the forest part is 0.13 and for the agricultural part – 0.24.

Differences between the years with a higher and a lower precipitation were followed as well. We also statistically evaluated possible hydrological changes caused by the construction of the highway and the market centre. For another possible explanation of quite high standard deviation of the mean annual runoff coefficient we followed the monthly runoff coefficient dependence on water temperature and of ground water table depth.

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Authors and Affiliations

Martina Vlčková
Marek Nechvátal
Mojmír Soukup
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Abstract

The aim of the study was to determine the influence of the load on the water accumulation embankment crown on changes in the course of the filtration curve in its body. The study was carried out with a medium-size filtration apparatus. We made a model of hydrotechnical embankment with the following dimensions. Width: base 2.0 m, crown 0.5 m. Slope inclination: waterside 1:1.5, landside 1:1. Embankment height 0.6 m, width 1.0 m, weight 900 kg. The construction mater-ial included a homogeneous mineral subsoil classified as silty medium sand (siMSa). The embankment model made in a medium-size apparatus kept the accumulation level at a height of 0.5 m. With data from the recording systems, we deter-mined the course of the filtration curve. Next, we kept on loading and relieving the embankment crown using an actuator and a VSS plate with a diameter of 300 mm. During this process, we recorded changes in the level of the water table inside the embankment. A decrease in the water table was observed as a result of increased load. Once the load on the embankment crown was reduced, the water level inside the embankment increased. The embankment model built from natural soil works well as a structure that keeps damming water in a continuous manner. The use of drainage in the form of a stone prism at the foot of the landside slope allows protecting the slope against the negative influence of filtration (piping, lique-faction).

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Authors and Affiliations

Mariusz Cholewa
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Abstract

Beyşehir Lake is the largest freshwater lake in the Mediterranean region of Turkey that is used for drinking and irrigation purposes. The aim of this paper is to examine the potential for data-driven methods to predict long-term lake levels. The surface water level variability was forecast using conventional machine learning models, including autoregressive moving average (ARMA), autoregressive integrated moving average (ARIMA), and seasonal autoregressive integrated moving average (SARIMA). Based on the monthly water levels of Beyşehir Lake from 1992 to 2016, future water levels were predicted up to 24 months in advance. Water level predictions were obtained using conventional time series stochastic models, including autoregressive moving average, autoregressive integrated moving average, and seasonal autoregressive integrated moving average. Using historical records from the same period, prediction models for precipitation and evaporation were also developed. In order to assess the model’s accuracy, statistical performance metrics were applied. The results indicated that the seasonal autoregressive integrated moving average model outperformed all other models for lake level, precipitation, and evaporation prediction. The obtained results suggested the importance of incorporating the seasonality component for climate predictions in the region. The findings of this study demonstrated that simple stochastic models are effective in predicting the temporal evolution of hydrometeorological variables and fluctuations in lake water levels.
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Authors and Affiliations

Remziye I. Tan Kesgin
1
ORCID: ORCID
Ibrahim Demir
2
ORCID: ORCID
Erdal Kesgin
3
ORCID: ORCID
Mohamed Abdelkader
4
ORCID: ORCID
Hayrullah Agaccioglu
2
ORCID: ORCID

  1. Fatih Sultan Mehmet Vakıf University, Faculty of Engineering, Department of Civil Engineering, Beyoglu, 34445, Istanbul, Turkey
  2. Yıldız Technical University, Faculty of Civil Engineering, Department of Civil Engineering, Esenler, 34210, Istanbul, Turkey
  3. Istanbul Technical University, Faculty of Civil Engineering, Department of Civil Engineering, Maslak, 34469, Istanbul, Turkey
  4. Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering, 1 Castle Point Terrace, Hoboken, NJ 07030, USA
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Abstract

The work focused on forecasting changes in lake water level. The study employed the Triple Diagram Method (TDM) using geostatistical tools. TDM estimates the value by information from an earlier two periods of observation, refers as lags. The best results were obtained for data with an average a 1-week lag. At the significance level of 1σ, a the forecast error of ±2 cm was obtained. Using separate data for warm and cold months did not improve the efficiency of TDM. At the same time, analysis of observations from warm and cold months explained trends visible in the distribution of year-round data. The methodology, built on case study and proposed evaluation criteria, may function as a universal solution. The proposed methodology can be used to effectively manage water-level fluctuations both in postglacial lakes and in any case of water-level fluctuation.
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Bibliography

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ALTUNKAYNAK A., ÖZGER M., SEN Z. 2003. Triple diagram model of level fluctuations in Lake Van, Turkey. Hydrology and Earth System Sciences. Vol. 7(2) p. 235-244. DOI 10.5194/hess-7-235-2003.

ALTUNKAYNAK A. 2007. Forecasting surface water level fluctuations of Lake Van by artificial neural networks. Water Resources Management. Vol. 21(2) p. 399–408. DOI 10.1007/s11269-006-9022-6.

BAJKIEWICZ-GRABOWSKA E. 2005. Jeziora. Zmiany stanów wody. W: Geografia fizyczna Polski [Lakes. Changes in water levels. In: Physical Geography of Poland]. Ed. A. Richling, K. Ostaszewska. Warszawa. Wydaw. Nauk. PWN p. 173–183.

BARAŃCZUK J., BOROWIAK D. 2010. Jezioro Charzykowskie. W: Atlas jezior Zaborskiego Parku Krajobrazowego [Lake Charzykowskie. In: Atlas of the Zaborski Landscape Park Lakes]. Ed. J. Barańczuk, D. Borowiak. Gdańsk, Charzykowy. Katedra Limnologii Uniwersytetu Gdańskiego; Pomorski Zespół Parków Krajobrazowych p. 32–41.

BUYUKYILDIZ M., TEZEL G., YILMAZ V. 2014. Estimation of the change in lake water level by artificial intelligence methods. Water Resources Management. Vol. 28(13) p. 4747–4763. DOI 10.1007/s11269-014-0773-1.

CHOIŃSKI A. 2006. Katalog jezior Polski [The catalogue of Polish lakes]. Poznań. Wydaw. Nauk. UAM. ISBN 8323217327 pp. 599.

COULIBALY P. 2010. Reservoir computing approach to Great Lakes water level forecasting. Journal of Hydrology. Vol. 381(1) p. 76–88. DOI 10.1016/j.jhydrol.2009.11.027.

KISI O., SHIRI J., NIKOOFAR B. 2012. Forecasting daily lake levels using artificial intelligence approaches. Computers & Geosciences. Vol. 41 p. 169–180. DOI 10.1016/j.cageo.2011.08.027.

NOURY M., SEDGHI H., BABAZEDEH H., FAHMI H. 2014. Urmia lake water level fluctuation hydro informatics modeling using support vector machine and conjunction of wavelet and neural network. Water Resources. Vol. 41(3) p. 261–269. DOI 10.1134/S0097807814030129.

ÖZGER M., ŞEN Z. 2007. Triple diagram method for the prediction of wave height and period. Ocean Engineering. Vol. 34(7) p. 1060– 1068.

PASIERBSKI M. 1975. Uwagi o genezie niecki jeziora Charzykowskiego [Remarks on the genesis of the Charzykowskie lake basin]. Acta Universitatis Nicolai Copernici. Geografia. Vol. 11 p. 101–103.

PIASECKI A., JURASZ J., ADAMOWSKI J.F. 2018. Forecasting surface water- level fluctuations of a small glacial lake in Poland using a wavelet- based artificial intelligence method. Acta Geophysica. Vol. 66(5) p. 1093–1107. DOI 10.1007/s11600-018-0183-5.

PIASECKI A., JURASZ J., WITKOWSKI W. 2019. Application of triple diagram method in medium-term water consumption forecasting. In: Infrastructure and Environment. Ed. A. Krakowiak-Bal, M. Vaverkova. Springer p. 59–66.

PLEWA K., WRZESIŃSKI D., BACZYŃSKA A. 2017. Przestrzenne i czasowe zróżnicowanie amplitud stanów wody jezior w Polsce w latach 1981–2015 [Spatial and temporal differentiation of the ampli-tudes of lake water levels in Poland in the years 1981–2015]. Badania Fizjograficzne. Ser. A Geografia Fizyczna. Vol. 68 p. 115–126. DOI 10.14746/bfg.2017.8.8.

SANIKHANI H., KISI O., KIAFAR H., GHAVIDEL S. 2015. Comparison of different data-driven approaches for modeling lake level fluctua-tions: The case of Manyas and Tuz Lakes (Turkey). Water Resources Management. Vol. 29(5) p. 1557–1574. DOI 10.1007/s11269-014-0894-6.
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Authors and Affiliations

Adam Piasecki
1
ORCID: ORCID
Wojciech T. Witkowski
2
ORCID: ORCID

  1. Nicolaus Copernicus University, Faculty of Earth Sciences and Spatial Management, ul. Lwowska 1, 87-100, Toruń, Poland
  2. AGH University of Science and Technology, Faculty of Mine Surveying and Environmental Engineering, Krakow, Poland
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Abstract

The results of a long-term water level monitoring in three forest ponds are presented in the paper. The ponds are locat-ed in the Wielisławice and Laski forest districts in South Wielkopolska, Poland. Two of the analysed ponds are natural ones supplied by precipitation and the third now is disused artificial fishpond of throughflow water management. Systematic water level measurements, as well as measurement of basic meteorological conditions – precipitation and air temperature – were carried out in the 2000–2016 hydrological period. The basic statistics as well as the trends in long-time changes in water levels, were determined using the nonparametric Mann–Kendall test were calculated. The results obtained were sta-tistically inconclusive, but they indicated downward trends in water levels in the natural ponds and upward trends in water levels in the artificial pond. Although a statistically significant downward trend was observed in only one natural pond, it may suggest some negative changes occurring in the catchment of ponds in general.

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Authors and Affiliations

Rafał Stasik
Barbara Kęsicka
Mariusz Korytowski
ORCID: ORCID
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Abstract

Changing atmospheric conditions, including above all the deepening extreme weather phenomena, are increasing from year to year. This, in consequence, causes an increase in the incidence of low outflows.
The study compares low water levels for two catchments: Biała Woda and Czarna Woda, and phosphorus and nitrogen load using the Nutrient Delivery Ratio (NDR) model in InVEST software. The objective of the NDR is to map nutrient sources from catchment area and transfer to the river bed. The nutrient loads (nitrogen and phosphorus) spread across the landscape are determined based on a land use (LULC) map and associated loading rates described in literature. The studies have shown that low water levels have been more common recently and pose the greatest threat to the biological life in the aquatic ecosystems. The structure of land use is also of great importance, with a significant impact on the runoff and nitrogen and phosphorus load. Phosphorus and runoff from surface sources to the water of Biała Woda and Czarna Woda catchments area has been reduced in forested areas. Only higher run-offs are observed in the residential buildings zone. The nitrogen load was also greater in the lower (estuary) parts of both catchments, where residential buildings dominate.
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Authors and Affiliations

Marek T. Kopacz
1
ORCID: ORCID
Zbigniew Kowalewski
1
ORCID: ORCID
Luis Santos
2
Robert Mazur
1
ORCID: ORCID
Vasco Lopes
3
Agnieszka Kowalczyk
4
ORCID: ORCID
Dominika Bar-Michalczyk
4
ORCID: ORCID

  1. AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, Mickiewicza 30, 30-059, Kraków, Poland
  2. Polytechnic Institute of Tomar, Departamento Arqueologia, Conservação e Restauro e Património, Portugal
  3. Polytechnic Institute of Tomar, School of Technology, Portugal
  4. Institute of Technology and Life Sciences – National Research Institute, Falenty, Hrabska Av. 3, 09-090 Raszyn, Poland

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