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Small Decentralized Hydropower Program National ... - Cd3wd.com

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utilizaran los resuitados. Se puede crear un modelo<br />

de energia bastante simple, que se utiliza para<br />

a&lisis de1 preliminares potential, basado en obser-<br />

vaciones fluviales cotidianas durante el period0<br />

registrado (aproximadamente, 365N &as, donde N es<br />

el nlimero de ties registrados). Debemos tomar en<br />

cuenta, que con este metodo “cotidiano” de an$lisis se<br />

sumergen 10s ties de bajo-flujo y 10s periodos de<br />

bajo-flujo dentro de un afio en un solo registro total.<br />

Los porcentajes indican el promedio de la frequencia<br />

relativa s6lamente d--u-ante el period0 registrado.<br />

Cuando se utihka +a1 procedimiento es conveniente<br />

mostrar hidrogr&ficas anua!es tipicas tambikn para<br />

que se puedan iderkificar 10s periodos criticos con-<br />

tenidos dentro de1 afio. (Figura 2).<br />

El mismo procedimiento, con las mismas limita-<br />

ciones puede ser efectuado utilizando valores pro-<br />

medio mensuales. El registro en este case consistirh<br />

de 12 N puntos de informaci6n. Debido a que 10s<br />

valores promedio mensuales van a camuflar las varia-<br />

ciones que ocurren dentro de1 mes, la curva de<br />

duraci6n fluvial tend& una apariencia distinta de la<br />

de1 anklisis fluvial cotidiano, y <strong>com</strong>a resultado sera<br />

menos titil en la consideraci6n de1 disefio. Natural-<br />

mente que 10s mismos argumentos se pueden<br />

esgrimir para las curvas de duraci6n fluvial derivadas<br />

de valores promedio anuales.<br />

Debido a que las corriente en ciertos lugares<br />

especificos obedecen a variaciones ciclicas <strong>com</strong>a<br />

funci6n de periodos dentro de1 tie, se puede derivar<br />

un valor mayor si el anglisis es basado en duraciones<br />

fluviales mensuales. Esto se puede hater por lo<br />

menos de dos maneras. En una, se ordenan todos 10s<br />

promedios de enero (por ejemplo) <strong>com</strong>a una serie de<br />

datos de valores N, y se hate el anrilisis. Sin<br />

embargo, hay que tener presente que al utilizar 10s<br />

promedios mensuales, &tos van a enmascarar las<br />

variaciones que ocurren dentro de1 mes. Por lo tanto,<br />

un aklisis de todo el flujo cotidiano durante enero<br />

(en este ejempio) va a resultar en una mejor base<br />

para la consideracidn de1 diseiio. Dependiendo de1<br />

prop6sito de1 analisis puede que ~610 se necesite<br />

evaluar 10s periodos mensuales criticos (10s que para<br />

unidades pequeAas de hidroenergia deben incluir 10s<br />

petiodos de alto flujo al @al que 10s meses obvious<br />

de bajo flujo).<br />

Otro procedimiento podria ser el de intentar desar-<br />

rollar ties “indices”, En c:ste procedimiento se<br />

prepara primer0 la curva de durci6n fluvial anual. De<br />

aqui se puede identificar el tio indice K-percentile.<br />

Usando 10s datos fluviales histciricos, mensuales y<br />

cotidianos, que ocurrieron durante 10s afios indices<br />

46<br />

the corresponding 20 to 30 percent exceedance<br />

flows.<br />

More often than not in developing countries,<br />

the data for site hydrologic analyses will be quite<br />

limited. Even in the United States, a country that<br />

by general standards could be considered to<br />

have a wealth of data, it is almost always<br />

necessary to adjust remote information.<br />

The recently <strong>com</strong>pleted study at the Idaho<br />

Water Resources Research Institute (Gladwell, et.<br />

al., 1979) had as one of its goals a <strong>com</strong>plete<br />

hydioelectric potential analysis of the Columbia<br />

River system in the United States. We chose to<br />

use the daily flow-duration procedure with ac-<br />

<strong>com</strong>panying average annual hydrographs. Since it<br />

appeared evident that such a task would greatly<br />

exceed our capability to depend upon “nearby”<br />

gauges, a different aproach was called for. A<br />

regionalized approach was developed that<br />

included availability of an estimate of mean an-<br />

nual precipitation values. The procedures used<br />

permitted the development of synthetic flow-<br />

duration curves at any point on any stream in the<br />

region, within the constraints of the process.<br />

This, in <strong>com</strong>bination with the site physical data<br />

allowed the calculation of the potential energy<br />

under a series of assumed installed capacity<br />

levels.<br />

If records are to be <strong>com</strong>pared with each other<br />

or used in regional analyses, they should of<br />

course represent concurrent periods. It is impor-<br />

tant that the differences in records reflect those<br />

of climate and/or drainage basin characteristics<br />

and not simply those of different time periods.<br />

Even if no regional studies are contemplated, it is<br />

important to extend the records, if it is possible<br />

to add information by so doing. Techniques were<br />

discussed earlier concerning the general subject<br />

of extending records and filling gaps.<br />

A method for directly extending flow-duration<br />

curves has been suggested ivy Searcy and<br />

Hardison (1959). In this procedure, called the<br />

index-station method, a relationship is esta-<br />

blished between two stations. The procedure<br />

begins by using the data of the overlapping time<br />

period to derive two flow-duration curves. The<br />

pairs of discharges corresponding to given<br />

exceedance percentages are then plotted against<br />

each other (as shown in Figure 5). The graph for<br />

this short period is assumed to represent the<br />

relationship between the two stations and, thus,<br />

would correspond for the longer period. If this is

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