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Wells capture curves

The flow net is a helpful tool for depicting the area of an aquifer from which a well captures water. It is essential to be able to delineate this area to avoid pulling contaminated groundwater into a well used for drinking water production areas of known contamination must lie outside the well s capture zone. Alternatively, if a well is to be used for groundwater remediation (removal of contaminated groundwater), the capture zone must enclose the contaminated areas. Capture curves, which are the boundaries of capture zones, may be drawn readily by inspection if a flow net is available the capture zone includes all stream tubes that terminate in the well. The following are two examples of capture curves. [Pg.220]

SINGLE-WELL CAPTURE-ZONE TYPE CURVES... [Pg.224]

A square-wave voltage input of 3.3 V was applied to the IPMC at different frequencies. As shown in Fig. 9.5, the model was able to predict the speed of the robotic fish as a function of the actuation frequency, for all different tails. In particular, it correctly predicted the peak in each speed-frequency curve. At relatively low frequencies, the robot speed increases with the actuation frequency. As the frequency increases, the bending amplitude of the IPMC actuator decreases, which ultimately results in a decreased speed for the robot. Therefore, there is an optimal actuation frequency for producing the largest speed for the robotic fish. Prom Fig. 9.5, both the optimal frequency and the peak speed vary with the tail dimensions, which is well captured by the model. [Pg.233]

We start out by running n = 50000 simulations where all results are used in the estimation of the environmental contour. The resulting contour is shown in Figure 4. While the overall shape of the contour is fairly well captured, we see some noti-cable numerical instabilities in the form of loops along the curve. This is a typical phenomenon indicating that the data is insufficient for the exceedance probability. [Pg.2096]

Figure 15.9 The results of capture ELISA on native RNase A and formalin-treated RNase A. Right panel, native RNase A (curve 1) and unfractionated formalin-treated RNase A (curve 2). Left panel, individual fractions of formalin-treated RNase A monomer (curve 3), dimmer (curve 4), trimer (curve 5), tetramer (curve 6), and a mixture of oligomers with >5 cross-linked proteins (curve 7). The ELISA plate wells were coated with monoclonal antibody against bovine pancreatic RNase A (1 pg/mL) overnight at 4°C and then blocked with bovine serum albumin. The wells were incubated for lh at 37°C in the presence of various concentrations of antigen in lOOpL of PBS. After washing, each plate well received a 1 4000 dilution of horseradish peroxidase conjugated rabbit polyclonal anti-RNase A antibody followed by incubation at ambient temperature for lh. After washing, detection was achieved using a mixture of 2,2,-azino-di-(3-ethylbenzthiazoline-6-sulphonate) and hydrogen peroxide. Absorbance was monitored at 405 nm. See Rait etal.11 for details. Figure 15.9 The results of capture ELISA on native RNase A and formalin-treated RNase A. Right panel, native RNase A (curve 1) and unfractionated formalin-treated RNase A (curve 2). Left panel, individual fractions of formalin-treated RNase A monomer (curve 3), dimmer (curve 4), trimer (curve 5), tetramer (curve 6), and a mixture of oligomers with >5 cross-linked proteins (curve 7). The ELISA plate wells were coated with monoclonal antibody against bovine pancreatic RNase A (1 pg/mL) overnight at 4°C and then blocked with bovine serum albumin. The wells were incubated for lh at 37°C in the presence of various concentrations of antigen in lOOpL of PBS. After washing, each plate well received a 1 4000 dilution of horseradish peroxidase conjugated rabbit polyclonal anti-RNase A antibody followed by incubation at ambient temperature for lh. After washing, detection was achieved using a mixture of 2,2,-azino-di-(3-ethylbenzthiazoline-6-sulphonate) and hydrogen peroxide. Absorbance was monitored at 405 nm. See Rait etal.11 for details.
It is also well known that proteins differ in their abilities to be chemically stained and it would be very difficult to devise a set of calibration curves for every protein on an array. The heterogeneity of protein structure makes it unlikely that a general protein labeling strategy can be applied to arrays (Kodadek, 2001). Direct labeling may also alter protein structure, leading to denaturation or the inability to form a complex with a specific capture agent. While antibody stability on arrays appears adequate, other proteins may... [Pg.233]

Why are these equations represented by 4th order polynomials and not 2nd order curves given that the vertical variation of temperature and vapor fraction are well approximated by second order functions The simple answer is that the transition from condensing water vapor to liquid water above 0 °C to condensing water ice below -20 °C, and the attendant affect on the fractionation factor (Fig. 2), results in additional structure not captured by 2nd or 3rd order curves. Each of the equations fit their respective model output with an R2 > 0.9997. The lack of symmetry of the modeled uncertainty reflects asymmetry in the probability density function and particularly the long tail toward lower values of T relative to the mean (see Fig. 2 of Rowley et al. 2001). The effect of this long tail is well displayed in both Figure 5 and 7. [Pg.35]

This work provides accurate potential energy curves as well as coupling matrix elements for the B2+/H and B4+/ He systems. From the molecular point of view, it appears important to involve all levels correlated to the entry channels in the collision dynamics and, in particular, to take into account rotational effects, which might be quite important. The results concerning the double electron capture process in the (B4+ + He) collision point out the limitations ofthe potential approach model, especially to account for open shell levels, for which more elaborate calculations are necessary. [Pg.140]

Neutron capture as well as charged particle reactions produce in general very dense y-ray spectra. The high resolution electron [MAM78] and curved crystal spectrometers [K0C80] at ILL in Grenoble present excellent... [Pg.460]

Both the correlation-corrected DHHC theory as well as the simulations that capture in principle all kinds of ion correlations (see Sect. 2.2) show a decrease in the osmotic coefficient when compared to the prediction of the PB-theory. Since these two totally different approaches agree so well, it becomes clear that they indeed give a good description of the influence of the correlations. However, they do not lower the osmotic coefficient sufficiently to reach full agreement with the experimental data. Moreover, the deviation from the Poisson-Boltzmann curve increases for higher densities, which is true for the DHHC and the simulations as well as for the experiment. This appears plausible if one recalls that correlations become more important at higher densities. [Pg.19]

The assumption on the electric charge effect of excess electrons on the rate constant of their interfacial transfer is supported by an evident similarity of these semiconductor colloidal systems with metal colloids, for which effect of the charge of electrons captured by the particle is well known and agrees with the microelectrode theory . Moreover, kinetic curves similar to those we found for CdS colloids were observed previously for silver colloids in ref. [17], where the particles charge q was shown to decrease by the law... [Pg.46]


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See also in sourсe #XX -- [ Pg.220 , Pg.221 , Pg.222 , Pg.223 ]

See also in sourсe #XX -- [ Pg.242 , Pg.244 , Pg.246 ]




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Capture curves

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