|
Along with the rapid development of manufacturing industries,
all kinds of factories have been established in Taiwan. Since
the demand of industrial water has increased dramatically, the
shortage problem of water supply has become one of the critical
issues of EIA for the planning and development of new industrial
parks. Since water shortage could causes tremendous loss of the
operation of factories, it is an important task to estimate the
water demand at the planning stage of industrial park
development so that appropriate strategy can be developed in
advance.Based on multiple regression model, estimation models
for water demand are developed in this research. Recognizing
the fact that the factory area are not well linearly correlated
with the water use, instead of a look-up table of water demand
by unit of land area, variables such as number of employment,
land area and floor area of factories are included and tested.
Essentially, the water consumption of industrial factories is a
very dynamic and complicated process, it is influenced by
factors such as production method, type of products and
equipment, and devices of water conservation etc., however, they
are not correlated with the water demand in a exactly linear
format. It is the purpose of this research to develop a water
demand estimation model of manufacturing industries for the
planning analysis. The proposed multiple regression model not
only allows the planner to analyze the various influencing
factors in the model, but also provides the capability of
interval estimation so that policy variables can be better
explained and considered in the planning process.
|