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    Tytuł:
    The influences of meteorological and hydrological factors on the operation and performance of a semi-natural stormwater reservoir
    Autorzy:
    Wałęga, Andrzej
    Młyński, Dariusz
    Radecki-Pawlik, Artur
    Powiązania:
    https://bibliotekanauki.pl/articles/108597.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    storm reservoir
    heavy rainfall
    best management practices
    infiltration
    Opis:
    The aim of this research was to determine the influences of meteorological and hydrogeological factors on the water level of a rainwater storage and infiltration reservoir. The examined reservoir is located in the urban and industrial area of Krakow, on ground owned by the Polish State Railways (PKP), Kraków-Bieżanów branch. We analyzed a range of climatic (precipitation and evaporation) and hydrological factors (water stage in the reservoir and groundwater level) and their inter-relationships to determine their influences on the water depth regime in the storage and infiltration reservoir. Based on our results, the increase in the water table level in the reservoir is connected with the increase in the groundwater level and it is observed in the spring and summer periods, when meltwater and stormwater enter the reservoir. At the end of July, the groundwater table level increases because of excessive rainfall events. Throughout the entire experimental period, the reservoir was fed by infiltering groundwater from the upper parts of the basin. The water depth averages in the reservoir were closely correlated with the average groundwater table levels, the sum of precipitation from the week prior to the date of the examination of water depth in the reservoir, and the sum of potential evaporation in the given week.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2020, 8, 1; 28-34
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The evaluation of weekly extended range river basin rainfall forecasts and a new bias correction mechanism for flood management in India
    Autorzy:
    Guhathakurta, Pulak
    Prasad, Ashwini Kumar
    Chattyopadhyay, Rajib
    Sangwan, Neha
    Wagh, Nilesh
    Pattanaik, D. R.
    Pai, D. S.
    Mohapatra, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/2058418.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    extended range prediction
    rainfall bias correction
    flood management
    Opis:
    Operational extended range forecasts are being disseminated once every week by the India Meteorological Department (IMD) for several sectorial applications. These forecasts show a reduction in amplitude and variance as a function of lead-time. Such reductions in variance can be due to several physical factors: inherent forecast model bias, a problem relating to initial conditions, leaddependent statistical biases, etc. A week-by-week analysis shows that such biases are not systematic. Rainfall forecasts are underestimated in some regions, while others overestimate rainfall amplitude. To correct the bias in the extended range weekly averaged forecast, a statistical post-processing method (normal ratio correction) is proposed to make the outlook more valuable at a longer lead-time. The correction method is based on the World Meteorological Organization (WMO) technical guidance on rainfall estimation and is also shown to be useful for rainfall forecasts. In this analysis, we evaluate the extended range forecast skill at the river sub-basin-scale and show that there are several river sub-basins over the central Indian region where the correction has improved the model forecast in the one to two-week range. Although this analysis was tailored toward making the river basins and sub-basins of India more readily realizable for flood forecasters, it can be used for any administrative boundaries such as block, district, or state-level requirements.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2022, 10, 1; 1--25
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Digital Elevation Model resolution and its impact on the spatial pattern of rainfalltemperature prediction at the catchment scale: The case of the Mille catchment, Ethiopia
    Autorzy:
    Bati, Hirpo Gudeta
    Powiązania:
    https://bibliotekanauki.pl/articles/2058419.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    KED
    Mille catchment
    mountainous catchment
    rainfall
    DEM resolution
    temperature
    Opis:
    In a mountainous catchment, understanding the interaction between DEM resolution and climatic variables is essential for the accurate spatial interpolation of areal mean monthly and annual rainfall and temperature, which is required as an input for further applications such as hydrological and hydraulic modeling, agriculture, and environmental conservation. This case study applied the geostatistical interpolation technique, kriging with external drift (KED), with a digital elevation model (DEM) with various horizontal resolutions, which were used to assess the effects of the DEM horizontal resolutions on the spatial distributions of rainfall and temperature by focusing on interpolating the mean monthly and annual rainfall and temperature over a spatially diversified catchment. The assessment was undertaken using spatially and temporally complete sampled historical climatic datasets, and consequently, the spatial pattern of monthly and annual rainfall (temperature) from east to the west gradually increases or decreases following the DEM elevation increment along the same direction. As a result, the finer-resolution DEM (90-m SRTM-DEM) had a considerable impact on predicting the mean monthly minimum and maximum temperatures, whereas the resampled 500-m SRTM-DEM performed relatively better in mean monthly and annual rainfall and annual minimum temperature estimation values.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2022, 10, 1; 26--46
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Mathematical modelling of rainfall runoff from small catchments of the northwest coast of the Black Sea
    Autorzy:
    Moniushko, M.
    Daus, M.
    Zakharova, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/108582.pdf
    Data publikacji:
    2015
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    spatial model
    radar data
    ground data
    rainfall
    discharge
    runoff
    hydrograph
    Opis:
    This article is devoted to the use of a mathematical model of a flood runoff for calculating rainfall runoff hydrographs from small catchments of the northwest coast of the Black Sea. The described model was tested and applied for the following catchments located in various geographical conditions, with various amounts of initial data: experimental catchments in Zacarpathian, the northwest of the Black Sea region – Ukraine and the Republic of Moldova, small catchments of the northern part of Vietnam, etc. This work was carried out on the basis of Moldavian Water-Balance Station databases. The development of a complex approach to a mathematical simulation of the formation of the processes of rain floods from small catchments is also given further investigation in this article. A brief description of the structure of a flood runoff spatial model from small catchments then provided. As well as this, the advantages of using radiolocation measurement of rainfall in the mathematical modeling of the formation of a flood runoff are shown. The results of construction runoff hydrographs confirm the possibility of applying this spatial model with the use of radar information. The optimization of model parameters was made with the data of 123 floods. The values of the quality criterion S/σ turned out not to exceed the value 0.8 in 81% of the considered cases of floods.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2015, 3, 1; 45-50
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computational environment HYDRO-PATH as a flexible tool for operational rainfall-runoff model design
    Autorzy:
    Tokarczyk, T.
    Szalińska, W.
    Tiukało, A.
    Jełowicki, J.
    Chorążyczewski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/108540.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    rainfall-runoff model
    operational application
    computational environment
    model development
    system design
    Opis:
    The overall objective of the ongoing work is to develop the computational environment HY DRO-PATH as a flexible tool for forecasting runoff from catchment areas for various hydrometeorological conditions while taking into account the information available on a real-time basis. Ensuring the model’s operational reliability and reducing the uncertainty of generated forecasts is accomplished through the adjustment of both the internal structure of the model and the spatial representation of the computational grid to the physiographical, hydrological and climatological characteristics of a given basin. The research focused on the development of methods for selecting the optimal model structure and parameters by analysing the results obtained for different model structures. This is achieved through the computational environment, in which it is possible to implement different types of hydrological rainfall-runoff models. These models have a unified system of data input, parameter optimisation rules, and procedures for result generation. The developed elements of the computational environment correspond to generation potential of models with a given structure and complexity. Furthermore, within the framework of HY DRO-PATH the following components were developed: an application programming interface (API), a data assimilation module, a module for computational representation of a real object, and a module for the estimation and optimisation of model parameters. The developed computational environment was applied to prepare a version of TOPO-Flex and perform hydrological validation of the model’s results. The hydrological validation was performed for selected flood events in the Bystrzyca Dusznicka subbasin of the Nysa Kłodzka River.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 65-77
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A modeling framework to assess the impact of climate change on river runoff
    Autorzy:
    Kuchar, L.
    Iwański, S.
    Jelonek, L.
    Szalińska, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/108599.pdf
    Data publikacji:
    2014
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    climate change
    spatial weather generator
    regional hydrology
    distributed rainfall-runoff model
    Opis:
    Global climate change is anticipated to have consequences on water resources and the environment both at global and local/regional levels. Efforts towards proper management of future water resources and resolving potential water-related conflicts require the formulation of appropriate techniques to downscale the output of global climate models (GCM) to local conditions for hydrologic prediction. The paper presents an integrated framework for modeling the impact of climate change on river runoff that combines methodology for downscaling climate change scenarios for a basin scale with a hydrological model to estimate the impact of climate change on a river runoff. The modeling framework uses long-term observations of meteorological and hydrological variables together with a climate change scenario to provide a projection of future flows for the specified time horizon. The framework is based on a spatial weather generator and a distributed rainfall-runoff model. Such a configuration enables a reflection of the uncertainty of future conditions by running multiple realizations of future conditions, and also take into account the spatial variability of hydrological properties in the catchment by maintaining the physical details at a given grid size. The performance of the framework was presented for the Kaczawa basin that is one of the main left bank tributaries of the Odra River – the second biggest river in Poland. The results show simulated changes of the future river flow regime caused by climatic changes for two time horizons: 2040 and 2080.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2014, 2, 2; 49-63
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Criteria for identifying maximum rainfall determined by the peaks-over-threshold (POT) method under the Polish Atlas of Rainfall Intensities (PANDa) project
    Autorzy:
    Burszta-Adamiak, Ewa
    Licznar, Paweł
    Zaleski, Janusz
    Powiązania:
    https://bibliotekanauki.pl/articles/108607.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    rainfall model
    Intensity-Duration-Frequency
    IDF
    Depth-Duration-Frequency
    DDF
    extreme value theory
    EVT
    Opis:
    Determination of rainfall maxima from long-term series is one of the more important tasks in urban hydrology. These maxima are useful both in designing land drainage systems and for flood protection in a catchment. The identification of rainfall maxima for the hierarchy of rainfall durations from 5 min to 4 320 min is a fundamental stage of the creation of the first version of the Polish Atlas of Rainfall Intensities (PANDa), which will ultimately be a source of updated and reliable information on design rainfall intensities for designing and modeling rainwater drainage and retention systems in Poland. One of the methods for identifying extreme rainfall events is to use criteria for selecting rainfall based on their depth for a given rainfall frequency and duration. Existing national experience in this respect is based on the results of analyses usually conducted with regard to records from single weather stations. This article presents the results of a study designed to verify the usefulness of the literature-based criteria for identifying rainfall maxima using the peaks-over-threshold (POT) method at a much broader nationwide scale. The study analyzed data from a previously created digital database of rainfall series, which includes 3 000 stationyears (consisting of a 30-year measurement series from 100 weather stations of the Institute of Meteorology and the Water Management - National Research Institute (IMGW-PIB). The study results show that as far as the investigated measurement series are concerned, the criteria based on the literature sources have limited application and can only be used for identifying the largest short-duration rainfall events. To determine rainfall maxima for all of the time intervals analyzed (from 5 minutes to 3 days), it was necessary to develop our own criteria that would allow the methodology for identifying extreme rainfall events to be standardized for all 100 stations.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2019, 7, 1; 3-13
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin
    Autorzy:
    Wdowikowski, M.
    Kaźmierczak, B.
    Ledvinka, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/108530.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    trend analysis
    Mann-Kendall test
    meteorological data
    maximum rainfall
    GED
    Lusatian Neisse
    IMWM-NRI
    probabilistic distribution
    Opis:
    The scope of this study was to assess the usefulness of top probability distributions to describe maximum rainfall data in the Lusatian Neisse River basin, based on eight IMWM-NRI meteorological stations. The research material was composed of 50-year precipitation series of daily totals from 1961 to 2010. Misssing measurement data were estimated using a weighted average method. Homogeneity for refilled data were investigated by precipitation double aggregation curve. Correlation between the measurement data varied from 96 to 99% and did not indicate a violation of the homogeneity of rainfall data series. Variability of recorded daily precipitation maxima were studied by linear regression and non-parametric Mann-Kendall tests. Long-term period changes at maximum rainfalls for four stations remained statistically insignificant, and for the other four were significant, although the structure of maximums was relatively similar. To describe the measured data, there were used the Fréchet, Gamma, Generalized Exponential Distribution (GED), Gumbel, Log-normal and Weibull distributions. Particular distribution parameters were estimated using the maximum likelihood method. The conformity of the analyzed theoretical distributions with measured data was inspected using the Schwarz Bayesian information criterion (BIC) and also by the relative residual mean square error (RRMSE). Among others, the Gamma, GED, and Weibull distributions fulfilled the compliance criterion for each meteorological station respectively. The BIC criterion indicated GED as the best; however differences were minor between GED on the one hand and the Gamma and Weibull distributions on the other. After conducting the RRMSE analysis it was found that, in comparison to the other distributions, GED best describes the measured maximum rainfall data.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 53-63
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Causes of periodical rainfall distribution and long-term forecast of precipitation for Lankaran, Azerbaijan
    Autorzy:
    Mammadov, A.
    Rajabov, R.
    Casanova, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/108455.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    rainfall distribution
    synoptic processes
    atmospheric forces
    harmonic analysis
    baric gradient
    opady
    rozkład opadów
    prognoza długoterminowa
    Azerbejdżan
    Opis:
    Irregular rainfall distribution is receiving considerable attention. The amount of rainfall for one region can account for 500-600 mm, sometimes 1000 mm. For example, in the year 1985, Zagtala in Azerbaijan received 716 mm of rainfall, while in 1988, 2004 and 2008 - 1151, 1306 and 661 mm, respectively, were measured. In Lankaran 2061 mm were measured in 1982 and 470 mm in 1999. Generally, rainfall distribution differs across the Republic of Azerbaijan. In this study, the physical side of such variations was clarified. In relation to that, the movement speed of the atmosphere in regard of the rotation of the Earth was analyzed, showing that the difference in rainfall distribution, according to the time structure, is connected to the direction change of the atmospheric movement. Generally, the reasons for atmospheric movements cannot be identified as the rotation movement of the earth, mainly because both environments show different activities. While the processes happening in the atmosphere often change, influenced by the pressure gradient, the rotation movement of the earth is more stationary. We also evaluated the rainfall forecast method for the region Lankaran. Taking into account its simplicity, the Shuster method was used. Observation data was divided into stationary and casual elements. Selection of periodicals was determined by separation of long term meteorological data into harmonic functions. By accepting the variation, the coefficient casual item was added.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2018, 6, 2; 39-43
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data-driven discharge analysis: a case study for the Wernersbach catchment, Germany
    Autorzy:
    Popat, Eklavyya
    Kuleshov, Alexey
    Kronenberg, Rico
    Bernhofer, Christian
    Powiązania:
    https://bibliotekanauki.pl/articles/108441.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    artificial neural networks
    data-driven modelling
    event-based coefficient of rainfall-runoff
    precipitation
    multi-correlation analysis
    soil moisture content
    Opis:
    This study focuses on precipitationdischarge data-driven models, with regression analysis between the weighted maximum rainfall and maximum discharge of flood events. It is also the first of its kind investigation for the Wernersbach catchment, which incorporates data-driven models in order to evaluate the suitability of the model in simulating the discharge from the catchment and provide good insights for future studies. The input parameters are hydrological and climate data collected from 2001 to 2009, including precipitation, rainfall-runoff and soil moisture. The statistical regression and artificial neural network models used are based on a data-driven multiple linear regression technique, and the same input parameters are applied for validation and calibration. The artificial neural network model has one hidden layer with a sigmoidal activation function and uses a linear activation function in the output layer. The artificial neural network is observed to model 0.7% and 0.5% of values, with and without extreme values respectively. With less than 1% error, the artificial neural network is observed to predict extreme events better compared to the conventional statistical regression model and is also better suited to the tasks of rainfall-runoff and flood forecasting. It is presumed that in the future this study’s conclusions would form the basis for more complex and detailed studies for the same catchment area.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2020, 8, 1; 54-62
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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