Vulnerability forecast scenarios dataset of water resources, agriculture, and ecosystem of the Urmuqi River Basin (Version 1.0) ( 2010-2050)

Vulnerability forecast scenarios dataset of water resources, agriculture, and ecosystem of the Urmuqi River Basin (Version 1.0) ( 2010-2050)


By applying Supply-demand Balance Analysis, the water resource supply and demand of the whole river basin and each county or district were calculated, based on which the vulnerability of the water resources system of the basin was evaluated.

The IPAT equation was used to set a future water resource demand scenario, which was to establish the scenario by setting variables such as future population growth rate, economic growth rate, and unit GDP water consumption. By taking 2005 as the base year and using assorted forecasting data of population size and economic scale, the future water demand scenarios of various counties and cities from 2010 to 2050 were predicted.

By applying the basic structure of the HBV conceptual hydrological model of the Swedish Hydrometeorological Institute, a model of the variation tendency of the basin under climate change was designed. The glacial melting scenario was used as the model input to construct the runoff scenario under climate change. According to the national regulations of the water resources allocation of the basin, a water distribution plan was set up to calculate the water supply comprehensively. Considering the supply and demand situation, the water resource system vulnerability was evaluated by the water shortage rate. By calculating the (grain production) land pressure index of the major counties and cities in the basin, the balance of supply and demand of land resources under the climate change, glacial melt and population growth scenarios was analyzed, and the vulnerability of the agricultural system was evaluated. The Miami formula and HANPP model were used to calculate the human appropriation of net primary biomass and primary biomass in the major counties and cities for the future, and the vulnerability of ecosystems from the perspective of supply and demand balance was assessed.


Data Citations Data citation guideline What's data citation?
Cite as:

Yang, L. (2018). Vulnerability forecast scenarios dataset of water resources, agriculture, and ecosystem of the Urmuqi River Basin (Version 1.0) ( 2010-2050). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socio-econ.tpe.0000001.file. CSTR: 18406.11.Socio-econ.tpe.0000001.file. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zhang, J.T., He, X.J., Shangguan, D.H., Zhong, F.L., &Liu, S.Y. (2012). Impact of Intensive Glacier Ablation on Arid Regions of Northwest China and Its Countermeasure. Journal of Glaciology and Geocrylogy, 34(4), 848-854.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


References literature

1.Climate Change Response Division of National Development and Reform Commission,The Administrative Center for China's Agenda 21 (ACCA21). (2012). Impact assessment of Climate Change on China and Its Countermeasure: sea level rise and melting glaciers[M]. Beijing: Science Press. (View Details )


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 87.00 West: 86.00
South: 43.00 North: 44.00
Details
  • File size: 0.02 MB
  • Views: 5639
  • Downloads: 450
  • Access: Open Access
  • Temporal coverage: 2005-01-19 To 2051-01-18
  • Updated time: 2021-04-18
Contacts
: YANG Linsheng  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata