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首页> 外文期刊>Journal of Energy and Natural Resources >Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households
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Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households

机译：利用气象数据调整城镇居民家庭的水价

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摘要

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.
机译：本文提出了一种动态方法来设定城市居民用水价格。使用称为季节性水价（SWP）的模型;城市住宅水价的确定是考虑到以下事实：温度和降水的某些特征也可能影响住宅供水水平。在这项工作中，采用了SWP模型并将其用于估算城市居民水价的修正系数。调整后的水费不到客户可支配人均收入的3％。因此，这项工作为改革中国的水资源价格提供了基础。

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