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around 10,000 m3/day) single-well installations may indeed suf ce. However, where the aquifer is to be called upon for substantially greater yields (e.g. to feed a large industrial plant, or to supply water to a large town), it is more common to use a group of wells located in relatively close proximity to each other. Such groups of wells are termed well elds.iv The key concept behind the design of well elds is that if a number of wells each pump at modest rates, the resultant drawdown will be far more evenly spread through a given area of aquifer than would be the case were we to obtain the same total ow rate by overpumping a single well. As noted above, the more heavily we pump any one well, the greater will be its well loss. Thus even if the aquifer is more than capable of supplying the demand which we wish to place on it, there will come a point at which two or more wells will be able to extract the water much more ef ciently (i.e.

A soft-decision decoder for the convolutional code described in Figure 6.12, whose trellis is also seen in Figure 6.13, is presented in order to show differences between hard- and soft-decision decoding. In this example the message sequence is m = (10101), which after being encoded and transmitted in polar format, produces the code sequence c = (+1 +1 1 +1 +1 + 1 1 1 + 1 +1). This sequence is transmitted over an AWGN channel. Let s r = (+1.35 0.15 1.25 +1.40 0.85 0.10 0.95 1.75 +0.5 + 1.30) be the received sequence. The soft-decision VA [1 6] will be applied to decode this sequence. Then a comparison with a hard-decision decoder is also presented. The rst step in the application of the soft-decision decoding algorithm is to calculate the Euclidean distance between the samples of the received signal and the corresponding outputs for each transition of the trellis: Message sequence Code sequence Received sequence m = 10101 c = +1 + 1 1 +1 +1 + 1 1 1 +1 + 1 s r = +1.35 0.15 1.25 +1.40 0.85 0.10 0.95 1.75 +0.5 +1.30

An extensive review of OC and BC concentrations is given by Chung and Seinfeld [22] Carbonaceous material is the main component of FT particulate matter Background FT values of up to 940 ng m 3 OC and 610 ng m 3 BC (or EC) have been reported for high alpine sites in previous studies [131] Recent AMS measurements at the Jungfraujoch have shown that more than 50% of ne particles (<1 m) in summer are composed of organic matter [132] Putaud et al [133] found a relative amount between 16 and 29%, depending on particle size, for European background sites Raes et al [8] give a range from 31 to 56% for the submicron OC contribution in the background FT over the North Atlantic.

A separation of total carbon into BC, WSOC and WINSOC fractions revealed that BC amounted to 22%, WSOC to 47% and WINSOC to 31% during a summer period at the Jungfraujoch [131] Carboxylic acids were found in mean concentrations of 49 ng m 3 (oxalic acid), 15 ng m 3 (malonic acid), 11 ng m 3 (succinic acid) and 9 ng m 3 (formic acid), contributing 65% to the total WSOS mass Heald et al [134] report a free tropospheric background of 1000 3000 ng m 3 of OC over the Paci c Ocean, observed by aircraft during ACE-Asia [28] The high OC values observed are best explained as the result of SOA formation due to VOC oxidation and condensation favoured through the low temperatures In their study they show that the observed OC concentrations are a factor of 10 100 higher than calculated with current models.

They conclude that there is a large sustained source of SOA in the FT currently not re ected in today s models, and that SOA is the dominant component of aerosol mass in the FT SOA formation is also a characteristic of ageing air masses, typical for the FT..

can be formulated so that tests of selected parameters of the regression model provide tests of null hypotheses for A, B, and A B in the weight-loss experiment. Tests of the following null hypotheses for this regression model are of particular interest: H0: H0: H0:

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If the demands of an organization with which psychologists are affiliated or for whom they are working conflict with this Ethics Code, psychologists clarify the nature of the conflict, make known their commitment to the Ethics Code, and to the extent feasible, resolve the conflict in a way that permits adherence to the Ethics Code.

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In this chapter, the user-centred design (UCD) process has been applied to perform a user evaluation. Aspects of key enabling technologies have been highlighted with additional remarks about user evaluation. An approach to performing technical evaluation as an integral part of the UCD process was introduced and applied in Section 8.3. The dimensional approach,

Theorem 2.7.1 (Log sum inequality) a1 , a2 , . . . , an and b1 , b2 , . . . , bn ,