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Wyświetlanie 1-2 z 2
Tytuł:
Non-damaging flow below the Mietków reservoir on the Bystrzyca river
Autorzy:
Kosierb, R.
Powiązania:
https://bibliotekanauki.pl/articles/108576.pdf
Data publikacji:
2013
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
reservoirs
non-damaging flow
flood
Opis:
Non-damaging flow below storage reservoirs is one of the key factors which affect proper water management, especially the protection of valleys against flooding. Following analysis of river flow capacities below reservoirs it should be noted that, over the years, these capacities are subject to significant limitations. This is usually caused by inappropriate floodplain management. Buildings are often built closer to the river channels, which in consequence causes flooding of the buildings at low flood discharges. Repeated inundations and thus increasing losses oblige the local authorities to maintain low outflows from reservoirs in the first phase of the freshet, which leads to a rapid fulfillment of flood reserves of the reservoirs. Then, the culmination of flood wave often takes place when the reservoirs are filled and consequently high discharges from the reservoirs must be realized. This causes flooding of the areas and buildings below the storage reservoirs. This situation could have been avoided if the riverbeds and floodplains had been adjusted to pass non-damaging flow and adopted it as the basis for the water management of a given reservoir. A significant improvement in reduced reservoir capacities will occur if the values of non-damaging flow below the reservoirs are increased and the losses caused by flood flow are significantly reduced by appropriate spatial development of the areas below the storage reservoirs. The current non-damaging flow below the Mietków reservoir is a striking example of the issue. Three farms located within the floodplain of the Bystrzyca river have an adverse impact on water management of the reservoir when floods take place.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2013, 1, 1; 9-14
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An assessment of the quality of near-real time GNSS observations as a potential data source for meteorology
Autorzy:
Dymarska, N.
Rohm, W.
Sierny, J.
Kapłon, J.
Kubik, T.
Kryza, M.
Jutarski, J.
Gierczak, J.
Kosierb, R.
Powiązania:
https://bibliotekanauki.pl/articles/108476.pdf
Data publikacji:
2017
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
ZTD estimation
data validation
GNSS meteorology
Opis:
The Global Navigation Satellite System (GNSS) can be used to determine accurate and high-frequency atmospheric parameters, such as Zenith Total Delay (ZTD) or Precipitable Water Vapour (PW), in all-weather conditions. These parameters are often assimilated into Numerical Weather Prediction (NWP) models and used for nowcasting services and climate studies. The effective usage of the ZTDs obtained from a ground-based GNSS receiver’s network in a NWP could fill the gap of insufficient atmospheric water vapour state information. The supply of such information with a latency acceptable for NWP assimilation schemes requires special measures in the GNSS data processing, quality control and distribution. This study is a detailed description of the joint effort of three institutions – Wrocław University of Environmental and Life Sciences, Wrocław University, and the Institute of Meteorology and Water Management – to provide accurate and timely GNSS-based meteorological information. This paper presents accuracy analyses of near real-time GNSS ZTD validated against reference ZTD data: the International GNSS Service (IGS) from a precise GNSS solution, Weather Research and Forecasting (WRF) model, and radiosonde profiles. Data quality statistics were performed for five GNSS stations in Poland over a time span of almost a year (2015). The comparison of near real-time ZTD and IGS shows a mean ZTD station bias of less than 3 mm with a related standard deviation of less than 10 mm. The bias between near real-time ZTD and WRF ZTD is in the range of 5-11 mm and the overall standard deviation is slightly higher than 10 mm. Finally, the comparison of the investigated ZTD against radiosonde showed an average bias at a level of 10 mm, whereas the standard deviation does not exceed 14 mm. Considering the data quality, we assess that the NRT ZTD can be assimilated into NWP models.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2017, 5, 1; 3-13
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
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