Optimization Strategy for Decentralized Water Transport System based on Specific Pollutants Control

Abstract

At present, in the research of water resources dispatching technology, while the
quality impact of raw water on treatment process as well as pipeline network is
usually neglected. In this paper, taking the source wells with poor quality on the upper
and middle reaches of the Yellow River as the research object, the dispatching
technology of quantity and quality combined optimization based on specific pollutant
control is studied. Firstly, according to water quality characteristics of shallow
groundwater around Yellow River, plant influent-source water coupling model of
specific pollutants is established by combining the Fourier Transform with the
Artificial Neural Network (ANN) method. On this basis, an optimization model of
decentralized water transport system is constructed considering water quality, supply
safety and economy. The optimization strategy is applied to Z city in the middle and
upper reaches of the Yellow River, the effectiveness and practicability of
decentralized water transport system based on specific pollutants control are verified
in the mean while