Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households

Abstract

In this paper, a dynamic method is presented for setting the price of urban residential water. Using a model called Seasonal Water Pricing (SWP); urban residential water pricing was set by taking into account the fact that some of the characteristics of temperature and precipitation may also influence residential water supply levels. In this work, an SWP model was adopted and used to estimate correction coefficients for urban residential water prices. The adjusted cost of water was < 3% of the disposable per capita income of customers. Thus, this work offers a basis for reforming water resource pricing in China.