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Water Demand Forecast in the Baiyangdian Basin with the Extensive and Low-Carbon Economic Modes
Joint Authors
Wang, G.
Qin, T. L.
Yin, J.
Yan, D. H.
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The extensive and low-carbon economic modes were constructed on the basis of population, urbanization level, economic growth rate, industrial structure, industrial scale, and ecoenvironmental water requirement.
The objective of this paper is to quantitatively analyze effects of these two economic modes on regional water demand.
Productive and domestic water demands were both derived by their scale and quota.
Ecological water calculation involves the water within stream, wetland, and cities and towns.
Total water demand of the research region was obtained based on the above three aspects.
The research method was applied in the Baiyangdian basin.
Results showed that total water demand with the extensive economic mode would increase by 1.27 billion m3, 1.53 billion m3, and 2.16 billion m3 in 2015, 2020, and 2030, respectively, compared with that with low-carbon mode.
American Psychological Association (APA)
Qin, T. L.& Yan, D. H.& Wang, G.& Yin, J.. 2014. Water Demand Forecast in the Baiyangdian Basin with the Extensive and Low-Carbon Economic Modes. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-489394
Modern Language Association (MLA)
Qin, T. L.…[et al.]. Water Demand Forecast in the Baiyangdian Basin with the Extensive and Low-Carbon Economic Modes. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-489394
American Medical Association (AMA)
Qin, T. L.& Yan, D. H.& Wang, G.& Yin, J.. Water Demand Forecast in the Baiyangdian Basin with the Extensive and Low-Carbon Economic Modes. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-489394
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489394