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EN
Floods can cause significant problems for humans and can damage the economy. Implementing a reliable flood monitoring warning system in risk areas can help to reduce the negative impacts of these natural disasters. Artificial intelligence algorithms and statistical approaches are employed by researchers to enhance flood forecasting. In this study, a dataset was created using unique features measured by sensors along the Hunza River in Pakistan over the past 31 years. The dataset was used for classification and regression problems. Two types of machine learning algorithms were tested for classification: classical algorithms (Random Forest, RF and Support Vector Classifier, SVC) and deep learning algorithms (Multi-Layer Perceptron, MLP). For the regression problem, the result of MLP and Support Vector Regression (SVR) algorithms were compared based on their mean square, root mean square and mean absolute errors. The results obtained show that the accuracy of the RF classifier is 0.99, while the accuracies of the SVC and MLP methods are 0.98; moreover, in the case of flood prediction, the SVR algorithm outperforms the MLP approach.
EN
The rate of growth of the water volume in the reservoir varies with each charging season. The accuracy of the predictions is required in sustainable reservoir management. Its intrinsic growth rate as an ecological parameter plays a role in determining this speed. This study aimed to analyze the dynamics of water volume growth based on its intrinsic growth rate to assess the potential for hydrometeorology disasters. The population growth models proposed to be tested for suitability and goodness is the Verhulst, Richards, Comperzt, and modified Malthus model. Test suitability and model goodness were subjected to stages of verification, parameter estimation and model validation based on daily water volume data in the Gembong Reservoir, Pati, Indonesia for the period 2007–2020. A good model is determined based on the Mean Average Percentage Error (MAPE) criteria. The Richards model with b = 2 and r = 0.063/day had consistently low MAPE values during training and testing. This model was chosen as a new approach to understand the dynamics of water volume growth in a reservoir. The ecological implication of these dynamics of water volume growth is that reservoirs experience an abundance of water during the charging season. Reservoir normalization can be prioritized as a mitigation strategy for potential flood disasters.
PL
W połowie lipca 2016 r. w Trójmieście zanotowano opad atmosferyczny o sumie przekraczającej 150 mm. Opadom deszczu - od godzin popołudniowych 14 lipca do godzin rannych 15 lipca - towarzyszył okresami bardzo silny i gwałtowny wiatr, początkowo z kierunku północno-wschodniego, następnie z kierunku północno-zachodniego. Opisana sytuacja hydrometeorologiczna spowodowała znaczne wezbrania w rzekach i potokach rejonu Zatoki Gdańskiej, pełniących często w miastach nadmorskich rolę kolektorów wód opadowych. W wielu miejscach zaobserwowano zjawiska powodziowe oraz podtopienia. Taka sytuacja wystąpiła również w zlewni rzeki Kaczej w Gdyni. W artykule pokrótce scharakteryzowano przebieg tej powodzi miejskiej, opisano niektóre skutki przejścia fali wezbraniowej oraz przedstawiono historyczny profil maksymalnych rzędnych zwierciadła wody na wybranym odcinku rzeki. Profil wielkiej wody, określony na podstawie geodezyjnego pomiaru znaków wielkiej wody, porównano z rzędnymi obliczonymi dla przepływów maksymalnych o określonych prawdopodobieństwach przewyższenia, wcześniej wykorzystanych do opracowania map zagrożenia powodziowego w rozpatrywanym rejonie Gdyni.
EN
In mid-July 2016, Trójmiasto experienced a rainfall exceeding 150 mm. The precipitation - having started on the 14th of July in the afternoon and lasting till the 15th of July in the morning - was accompanied by gusts of a very strong and violent wind, blowing first from the north-eastern and then from the north-western direction. The described hydro-meteorological situation caused important rises of water in the rivers and streams of the Gdansk Bay region, often playing the role of urban rainfall water collectors. In many places, floods and floodings were observed. The situation was similar in the Kacza River basin in Gdynia. The article presents a short characteristic of this urban flood, describing some effects of the flood-wave passage and the historical profile of the water table maximum ordinates in the selected river section. The high water profile, determined based on geodetic measurements of high water marks, was compared with the ordinates calculated for the maximum flows with a set probability of exceedance, used earlier to elaborate flood risk maps in the analysed region of Gdynia.
PL
W niniejszym artykule przedstawiono koncepcję wyznaczania kierunku dryfu obiektów po powierzchni morza z wykorzystaniem regresji liniowej. Przedstawiona metoda opiera się na przekształceniu płaszczyzny , na której zobrazowano punkty o współrzędnych, będących długością i szerokością geograficzną zarejestrowanych podczas przemieszczania się obiektu. Wykorzystano przy tym tzw. powiększoną szerokość, co na tak małym obszarze, na jakim przeprowadzano eksperymenty sprowadza się do powinowactwa osiowego prostokątnego. W opracowaniu wyznaczono kierunki przemieszczania się boi oraz fantomu dla danych uzyskanych z eksperymentów na wodach Zatoki gdańskiej w latach 2012 – 2013.
EN
In this article a determination conception of drift direction of objects on the sea surface using linear regression has been presented. It based on the plane transformation called a shear mapping. In this work directions of the moving buoy and moving phantom on the waters of Gdańsk Bay, have been determined.
PL
Omówienie Projektu: Pętla Żuławska – rozwój turystyki. Przedstawienie rozbudowy i remontu istniejących portów żeglugowych, przystani jachtowych, pomostów cumowniczych i przystani żeglugi pasażerskiej na tzw. Pętli Żuławskiej.
EN
Description of the project: Żuławska Pętla – development of tourism. Description of the development and renovations of existing ports, marines, mooring piers along so called Żuławska Pętla.
EN
The Distributed Research Infrastructure for Hydro-Meteorological Study (DRIHMS) is a co-ordinated action co-funded by the European Commission. DRIHMS analyzes the main issues that arise when designing and setting up a pan-European Grid-based e-Infrastructure for research activities in the hydrologic and meteorological fields. The main outcome of the project is represented first by a set of Grid usage patterns to support innovative hydro-meteorological research activities, and second by the implications that such patterns define for a dedicated Grid infrastructure and the respective Grid architecture.
PL
Rozproszona infrastruktura naukowa przeznaczona do badań hydrometeorologicznych (Dis­tributed Research Infrastructure for Hydro-Meteorological Study - DRIHMS) stanowi element skoordynowanej akcji współfinansowanej przez Komisję Europejską. Celem DRIHMS jest analiza głównych problemów spotykanych w dziedzinie hydrologii i meteorologii. Głównym wynikiem projektu będzie zestaw wzorców użytkowania środowisk gridowych w celu wspomagania nowoczesnych badań hydrometeorologicznych oraz wnioski wynikające z powyższego zastosowania, mogące mieć wpływ na dalszy rozwój dedykowanych rozwiązań gridowych.
PL
W pracy omówiono rozwój sytuacji synoptycznej, która doprowadziła do powstania sztormu 13–14 października 2009 roku, oraz scharakteryzowano zmienność warunków hydrometeorologicznych, które wystąpiły w okresie poprzedzającym sztorm, w czasie sztormu i w okresie posztormowym nad obszarem zachodniej części Zatoki Gdańskiej.
EN
This work presents the development of synoptic situation which resulted in storm in the region of western part of the Gdańsk Gulf on 13–14 October 2009 and characterizes the changeability of hydro-meteorological conditions in the period preceding the storm, during the storm noted on 13–14 October and in the period just after the storm. This work has made use of the data of the observation net of the Maritime Office in Gdynia. The depression responsible for the stormy weather on the south Baltic Sea was following the Vb trajectory according to van Bebber classification (Fig. 2) and the storm developed on the edge of high pressure area with its centre over Scandinavia (Fig. 6). The maximum wind speed was noted on 14 October and in the North Port in Gdansk it reached the value of 32 mźs–1 (Fig. 3). The wind was very gusty. A few-day lasting stormy N-NE winds (Fig. 4) resulted in very high seas. On 14 October the significant wave reached 4.2–4.3 m and the maximum wave was 7.8–7.9 m high. The storm overflows exceeded the alarm states of water (Fig. 7). There were some disturbances in the work of the ports of Gdynia and Gdańsk, destruction of some hydro-technical equipment, tourist infrastructure and rapid abrasion of coasts.
EN
The hydrometeorological factors affecting the operation of the port are presented in this elaboration. At first the port system of hydrometeorological screen is described. Next the navigational restrictions based on the port by-laws are presented taking the wind, the stream, the visibility and the water level into consideration . The subject concerning the flow of hydrometeorological information between contractors is also raised in this elaboration. The wind, the humidity and the temperature restrictions which affect the work of handing facilities, the transhipment and the storage process are also presented. In conclusion it is suggested to inculate the authorised survey net of the most important weather factors in the port of Szczecin.
EN
The paper presents an attempt to determine the duration of the bathing season for the Baltic Sea at the coast of Kołobrzeg, based on data records collected within 1961-1990 by Institute of Meteorology and Water Management. The following six conditions were applied to determine the bathing conditions: water temperature (tw > 150C) at 12 GMT, daily sunshine (U>4 hours), maximal daily (12-13 GMT) solar radiation intensity (r), air temperature (t), wind speed (v) and relative humidity (f) at 12 GMT. Solar conditions were described using an index S.>17. Correction coefficients of the index S were computed statistically. Thermal air conditions were determined in complex way by using effective temperature (TE.120C). For each bathing day, which satisfied the conditions presented above, complex indexes: K and KE (arythmetical means of TE, tw and S) were computed. For particular days from May, 1 to October, 31 within 30-years, probability of favourable bathing conditions occurence with the division into three degrees of intensity (favourableness) was calculated. Assuming probability of favourable bathing days occurence at least at 50% level, the duration of the bathing season in Kołobrzeg was determined. According to K (which does not take into account the colding influence of wind and air humidity) the bathing season lasts from June, 25 to September, 5. But according to KE the bathing season would limit only just to the period from July, 29 to August, 12. No distinct trends of many years' changes of bathing conditions were found. However the 7-8 years periodicity of these conditions, especially of K coefficient, is recorded.
EN
The hydrometeorological factors affecting the operation of the port are presented in this elaboration. At first the port system of hydrometeorological screen is described. Next the navigational restrictions based on the port by-laws are presented taking the wind, the stream, the visibility and the water level into consideration. The subject concerning the flow of hydrometeorological information between contractors is also raised in this elaboration. The wind, the humidity and the temperature restrictions which affect the work of handing facilities, the transhipment and the storage process are also presented. In conclusion it is suggested to inculate the authorised survey net of the most important weather factors in the port of Szczecin.
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