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Increasing intensity and frequency of rainfall coupled with gradual retreating of glaciers due to climate change in Himalayan region likely to increase the risk of floods. A better understanding of risk zones which are vulnerable to flood disasters can be evolved from the detailed studies on slope, geomorphology and land use/ land cover pattern. Information of these parameters is an important input for the identification of vulnerable areas. Flood risk maps provide useful information about places that may be at risk from flooding. It offers a cost-effective solution for planning, management and mitigation strategies in risky areas. Traditional methods of flood risk mapping are based on ground surveys and aerial observations, but when the phenomenon is widespread, such methods are time consuming and expensive. The possible combination of DEM and other maps of area using an overlay operation method within the Geographical Information System (GIS) platform can lead to derivation and the understanding of spatial association between various parameters which could be used to predict flood risk zones. The study area i.e. Satluj River Basin has been broadly divided into five risk zones viz., very low, low, moderate, high and very high which helped to differentiate between areas that are at risk of different intensities of flood. The very high flood risk zone covers only 3.25 % of total study area, while the very low risk zone covers 13.63 %. The area falls within the very high and high risk constitutes 9.52 % of total basin area. Domain of moderate risk covers an area of 30.66 %. But the maximum area of river basin is constituted by low risk zone i.e. 46.19 %. Identification of such zones will help in timely adopting of mitigation and adaptation measures. Preparation of flood risk zoning maps also helps in regulating indiscriminate and unplanned land use practices in risky areas.
Lag time of runoff – Lag is one of the characteristic values in rainfall-runoff modeling and lag time of sediment yield – LagS is an important characteristic in the procedure of predicting the suspended sediment rate (sedimentgraph). The relationship between the lag times (LagS/Lag) is used for estimating sediment routing coefficient – B, which is a key parameter of the instantaneous unit sedimentgraph (IUSG). The IUSG formula is needed to transform the sediment produced during rainfall into sedimentgraph. The relationship LagS/Lag was examined for a three small basins (two of which are located in Poland, and one in Germany). The ratio LagS/Lag, estimated for events from the investigated basins, has been in the range from 0.49 to 1.11. A statistical significant correlation has been found between the value of LagS/Lag and rainfall depth in one of the basins.
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.
This paper addresses the problem of how drought definition by POT and SPA methods influences drought characteristics. Using the 1984- 2013 daily flows at 24 selected gauging stations in the Dunajec river basin and assuming two threshold levels Q70% and Q95% and four minimum drought durations (5, 7, 10 and 14 days) as the pre-set criteria, it was shown that, when compared to the POT method, the application of the SPA method usually leads to less number of droughts and, consequently, of longer duration. The SPA method, differently from POT, reduces dramatically the number of inter-event times, which suggests that some adjacent POT droughts may be dependent and should be pooled.
The main conceptual approaches of water quality assessment and existing methods of standardization and classification of water on various parameters were summarized. Comparative analysis of sanitary and environmental principles of standardization has been fulfilled; the advantages and disadvantages of these approaches were discussed. It was concluded that the most reliable information about the state of the aquatic ecosystem can be obtained by using a physical, chemical and biological parameter complex. The international experience of water quality assessment was analyzed and the priority actions to implement the requirements of the Water Framework Directive in Ukraine were proposed.
The implementation of Ecohydrology (EH) – a transdisciplinary problem-solving science - has to be based upon the development of system solutions for river basins which have to harmonise hydrological processes with ecosystems dynamics and societies’ needs. The network of the UNESCO International Hydrological Programme EH Demonstration Projects was organised for scientific advancement, knowledge transfer, calibration of methods, education and capacity building. From the methodological point of view, the goal has been to accelerate transition from the stage of information collection and knowledge development into wisdom generation, which in practical dimension means a shift from understanding of relationships and patterns to understanding of processes and finally, formulation of principles for action. The selected Demonstration Projects from different continents cover the broad scope of water, ecosystem and society problems in such ecological systems as basin landscapes, wetlands/grasslands and floodplains, cities, lakes & reservoirs and estuaries & costal zones. This unique set of projects of large scale, long term testing and development by adaptive assessment and management, has become not only a fundamental lesson for costefficient implementation of the ecohydrology principles for IWRM, but also a starting point for "engineering harmony" between society and environment.
The paper presents the research carried out in the lower basin of Biebrza River valley in order to identify interception for natural wetland plant communities. Maximum interception, i.e. the largest amount of water, expressed in millimeters, which can be captured and retained by plant canopy from rainfall is one of the key parameters of the water cycle modeling. Maximum interception was determined based on the difference of the masses of wet and dry fresh plant samples. Collection of plant material samples took place during the five measurement sessions, which began immediately after the flood recedes, and then lasted until the end of the growing season. Interception spatial variability was analyzed on the basis of the results of maximum interception measured for selected plant aggregations in the different sampling points. The obtained values were extrapolated to the area of the lower basin of Biebrza River using vegetation map of the Biebrza National Park. By conducting a test sessions in the five coming months, the maps of the spatial variability also show changes over time. Methodology used in the described tests allowed for obtaining of satisfactory results. They present, in a correct way, variation occurring between the plant aggregations due to their morphology. In most cases the results are consistent with data from the literature. As results of the analysis of spatial variability of the maximum interception, the highest values were found for the plant communities located in the immediate vicinity of the river channel. With the increase of the distance from river towards the valley edges the maximum interception values decrease. These changes can be seen in the form of strips parallel to the river channel, which corresponds to the plant zones. Obtained map of spatial variability of the maximum interception, which is the results of extrapolation of the values assigned to plant communities, has a high correlation with the map resulting from the analysis of satellite images.
A method is described for determining the state of health of a river basin in order to monitor any actual or predictive changes that may occur as a result of perturbations in certain key catchment variables. The mean annual baseflow and mean annual baseflow turbidity at chosen sites on the Latrobe River Basin are obtained by using a simple filter on the discharge and turbidity data in a time series. Six variables are used to calculate the factors influencing baseflow turbidity within the sub-catchments and mutiple regression is carried out on a matrix of the data. The resulting calculated turbidity contributions for each sub-catchment is compared to the observed values in order to determine the closeness of correlation. Suggestions for improving the model are provided.
The study was completed on the basis of the results of commercial fish catches from lakes in Northeastern Poland. The number and status of the pikeperch lake habitats were determined in 14 river basins in this part of Poland, as recorded in 1951-1994. The river basins differed in the potential of the lakes inhabited by this predatory fish. The highest percentage of such lakes relative to all lakes larger than 10 ha was found in the river basins of the Liwa, Pasłęka and Osa. The status and distribution of pikeperch habitats were established at the beginning and in the final years of the time period analyzed. The total increase in the number of lakes settled by pikeperch was 209, with the aggregate area of pikeperch habitats rising by 41 365 ha. The dispersion of pikeperch was not connected directly with the fish stocking carried out during that time. In the Ełk and Pisa river basins, over 90% of new pikeperch habitats appeared owing to natural migration of this fish species.
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