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

Juan Zhao; Xingmin Mu; Wenbing Shi; Mei Ou

doi:doi:10.11648/j.jenr.20190801.15

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

Juan Zhao, Xingmin Mu, Wenbing Shi, Mei Ou

Published in Journal of Energy and Natural Resources (Volume 8, Issue 1)

Received: 20 January 2019 Accepted: Published: 28 April 2019

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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.

Published in	Journal of Energy and Natural Resources (Volume 8, Issue 1)
DOI	10.11648/j.jenr.20190801.15
Page(s)	30-36
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Water Prices, SWP Model, Temperature, Precipitation, Adjusted Water Pricing, Xi’an

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APA Style

Juan Zhao, Xingmin Mu, Wenbing Shi, Mei Ou. (2019). Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households. Journal of Energy and Natural Resources, 8(1), 30-36. https://doi.org/10.11648/j.jenr.20190801.15

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ACS Style

Juan Zhao; Xingmin Mu; Wenbing Shi; Mei Ou. Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households. J. Energy Nat. Resour. 2019, 8(1), 30-36. doi: 10.11648/j.jenr.20190801.15

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AMA Style

Juan Zhao, Xingmin Mu, Wenbing Shi, Mei Ou. Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households. J Energy Nat Resour. 2019;8(1):30-36. doi: 10.11648/j.jenr.20190801.15

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@article{10.11648/j.jenr.20190801.15,
  author = {Juan Zhao and Xingmin Mu and Wenbing Shi and Mei Ou},
  title = {Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households},
  journal = {Journal of Energy and Natural Resources},
  volume = {8},
  number = {1},
  pages = {30-36},
  doi = {10.11648/j.jenr.20190801.15},
  url = {https://doi.org/10.11648/j.jenr.20190801.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20190801.15},
  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.},
 year = {2019}
}

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TY  - JOUR
T1  - Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households
AU  - Juan Zhao
AU  - Xingmin Mu
AU  - Wenbing Shi
AU  - Mei Ou
Y1  - 2019/04/28
PY  - 2019
N1  - https://doi.org/10.11648/j.jenr.20190801.15
DO  - 10.11648/j.jenr.20190801.15
T2  - Journal of Energy and Natural Resources
JF  - Journal of Energy and Natural Resources
JO  - Journal of Energy and Natural Resources
SP  - 30
EP  - 36
PB  - Science Publishing Group
SN  - 2330-7404
UR  - https://doi.org/10.11648/j.jenr.20190801.15
AB  - 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.
VL  - 8
IS  - 1
ER  -

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Author Information

Juan Zhao

Institute of Soil and Water Conservation, Northwest A & F University, Yangling, China
Xingmin Mu

Institute of Soil and Water Conservation, Northwest A & F University, Yangling, China
Wenbing Shi

College of Resource and Environmental Engineering, Guizhou University, Guiyang, China
Mei Ou

Mingde College, Guizhou University, Guiyang, China

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APA Style

Juan Zhao, Xingmin Mu, Wenbing Shi, Mei Ou. (2019). Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households. Journal of Energy and Natural Resources, 8(1), 30-36. https://doi.org/10.11648/j.jenr.20190801.15

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ACS Style

Juan Zhao; Xingmin Mu; Wenbing Shi; Mei Ou. Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households. J. Energy Nat. Resour. 2019, 8(1), 30-36. doi: 10.11648/j.jenr.20190801.15

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AMA Style

Juan Zhao, Xingmin Mu, Wenbing Shi, Mei Ou. Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households. J Energy Nat Resour. 2019;8(1):30-36. doi: 10.11648/j.jenr.20190801.15

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@article{10.11648/j.jenr.20190801.15,
  author = {Juan Zhao and Xingmin Mu and Wenbing Shi and Mei Ou},
  title = {Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households},
  journal = {Journal of Energy and Natural Resources},
  volume = {8},
  number = {1},
  pages = {30-36},
  doi = {10.11648/j.jenr.20190801.15},
  url = {https://doi.org/10.11648/j.jenr.20190801.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20190801.15},
  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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Using Meteorological Data to Adjust Water-Pricing of Urban Resident Households
AU  - Juan Zhao
AU  - Xingmin Mu
AU  - Wenbing Shi
AU  - Mei Ou
Y1  - 2019/04/28
PY  - 2019
N1  - https://doi.org/10.11648/j.jenr.20190801.15
DO  - 10.11648/j.jenr.20190801.15
T2  - Journal of Energy and Natural Resources
JF  - Journal of Energy and Natural Resources
JO  - Journal of Energy and Natural Resources
SP  - 30
EP  - 36
PB  - Science Publishing Group
SN  - 2330-7404
UR  - https://doi.org/10.11648/j.jenr.20190801.15
AB  - 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.
VL  - 8
IS  - 1
ER  -

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