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Rivers variations

Cathodic protection of water power turbines is characterized by wide variations in protection current requirements. This is due to the operating conditions (flow velocity, water level) and in the case of the Werra River, the salt content. For this reason potential-controlled rectifiers must be used. This is also necessary to avoid overprotection and thereby damage to the coating (see Sections 5.2.1.4 and 5.2.1.5 as well as Refs. 4 and 5). Safety measures must be addressed for the reasons stated in Section 20.1.5. Notices were fixed to the turbine and the external access to the box headers which warned of the danger of explosion from hydrogen and included the regulations for the avoidance of accidents (see Ref. 4). [Pg.474]

Equalizing basin A holding basin in which variations in flow and composition of liquid are averaged. Such basins are used to provide a flow of reasonably uniform volume and composition to a treatment unit. Also called a balancing reservoir. Estuaries Bodies of water which are located at the lower end of a river and are subject to tidal fluctuations. [Pg.613]

Global warming would also be expected to influence surface waters such as lakes and streams, through changes induced in the hydrologic cycle. However, the last published report of the IPCC states no clear evidence of widespread change in annual streamflows and peak discharges of rivers in the world (IPCC, 1995, p. 158). Wliile lake and inland sea levels have fluctuated, the IPCC also points out that local effects make it difficult to use lake levels to monitor climate variations. [Pg.245]

Water resources decision making in many areas, particularly arid and semi-arid climates such as the American West, depends on interannual to decadal variations in surface water availability. In addition to more predictable seasonal differences, runoff tends to exhibit long-term trends alternating between flood and drought periods. Figure 6-10 shows historical wet and dry periods based on streamflow records for 50 world rivers. For the most part, these periods are consistent on a regional basis, though they appear to alternate on a hemispheric scale. [Pg.120]

The influence that variations of temperature and levels of atmospheric CO2 and O2 have on chemical weathering are more subtle. Temperature appears to have a direct effect on weathering rate (White and Blum, 1995). The silica concentration of rivers (Meybeck, 1979, 1987) and the alkalinity of ground waters in carbonate terrains (Harmon et al., 1975) are both positively correlated with temperature variations. It is not clear, however, whether temperature-related variations in weathering rates are largely due to variations in vegetational activity that parallel temperature variations. [Pg.201]

Evaporitic sulfur has a range of sulfur isotopic composition from +10%o to +30%o, while sedimentary sulfur is depleted in the heavy isotope and has a range of isotopic composition of about —40%o to +10%o. Most of this variation reflects systematic changes with geological age. The source fractions of a river water can be estimated from an isotopic mass balance ... [Pg.357]

Minutes/hours for example, storms affecting sewer systems, punctual discharges, river flow rate variations due to hydroelectric plants, residence time in a WWTP, etc. [Pg.131]

Days/weeks for example, algal growth, variations of water demand, news on newspapers, residence time in a river flow, etc. [Pg.131]

Figure 22. Response of the seawater U activity ratio to a sinusoidal variation of the U activity ratio of world rivers (adapted from Richter and Turekian 1993). Such a scenario could explain the apparent discrepancy between the theoretical mean riverine activity ratio of 1.25-1.35 and the estimated value of 1.17 (see text). The scenario could be supported by the preliminary conclusions from the study of U in Himalayan rivers (Chabaux et al. 2001), which assumed a climatic dependence of the Himalayan U flux, sufficient to induce a periodic variation of the mean U activity ratio of the world rivers on a glacial-interglacial time-scale (T = 10 y). The amplitude of variation proposed for the mean ratios of... Figure 22. Response of the seawater U activity ratio to a sinusoidal variation of the U activity ratio of world rivers (adapted from Richter and Turekian 1993). Such a scenario could explain the apparent discrepancy between the theoretical mean riverine activity ratio of 1.25-1.35 and the estimated value of 1.17 (see text). The scenario could be supported by the preliminary conclusions from the study of U in Himalayan rivers (Chabaux et al. 2001), which assumed a climatic dependence of the Himalayan U flux, sufficient to induce a periodic variation of the mean U activity ratio of the world rivers on a glacial-interglacial time-scale (T = 10 y). The amplitude of variation proposed for the mean ratios of...
Hsi C, Langmuir D (1985) Adsorphon of uranyl onto ferric oxyhydroxides applications of the surface complexation site-binding model. Geochim Cosmochim Acta 49 1931-1941 Ingri J, Widerlund A, Land M, Gustafsson O, Anderson P, Ohlander B (2000) Temporal variation in the fractionation of the rare earth elements in a boreal river the role of colloidal particles. Chem Geol 166 23-45... [Pg.571]

Figure 4. The uranium concentration in unfiltered water, 0.2 gm and 3 kD filtered water in river water from the Kalix River mouth and samples from the low salinity estuarine zone (0-3). Data plotted against conductivity (although the salinity scale is not defined below 2, a tentative scale is indicated). The lines represent the best fit for each fraction in the estuary. The data from the Kalix river mouth represent the river water component, which show <10% aimual variation in concentration. The analytical errors are smaller than the symbols. Data from Andersson et al. (2001). Copyright 2001 Elsevier Science. Figure 4. The uranium concentration in unfiltered water, 0.2 gm and 3 kD filtered water in river water from the Kalix River mouth and samples from the low salinity estuarine zone (0-3). Data plotted against conductivity (although the salinity scale is not defined below 2, a tentative scale is indicated). The lines represent the best fit for each fraction in the estuary. The data from the Kalix river mouth represent the river water component, which show <10% aimual variation in concentration. The analytical errors are smaller than the symbols. Data from Andersson et al. (2001). Copyright 2001 Elsevier Science.
Figure 5. The in 0.2pm and 3 kD filtered water and colloids phase (3kD - 0.2pm) and particles (>0.2 pm) as well as material from sediment traps plotted versus conductivity in the low salinity zone (0-3) of the Kalix River estuary. The stippled area marks the reported annual range in at the Kalix river mouth, which show a substantial variation compared to the uranium concentration. Data from Andersson et al. (2001). Copyright 2001 Elsevier Science. Figure 5. The in 0.2pm and 3 kD filtered water and colloids phase (3kD - 0.2pm) and particles (>0.2 pm) as well as material from sediment traps plotted versus conductivity in the low salinity zone (0-3) of the Kalix River estuary. The stippled area marks the reported annual range in at the Kalix river mouth, which show a substantial variation compared to the uranium concentration. Data from Andersson et al. (2001). Copyright 2001 Elsevier Science.
Kleinert H (2004) Path integrals in quantum mechanics, statistics, polymer physics, and financial markets. 3rd edition. World Scientific Singapore River Edge, NJ, p xxvi, 1468 p. For the quantum mechanical integral equation, see Section 1.9 For the variational perturbation theory, see Chapters... [Pg.104]


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