Abstract
The accounting results of the regional water footprint can not directly indicate the regional water resources conditions, as the regional water condition also highly connects with their regional scales and water endowment backgrounds. Therefore, the water stresses analysis based on the water footprint accounting under multiple regional scales needs to be made for the evaluations of the regional water sustainable management. In this chapter, based on the computed water footprint results of the three study areas in the previous chapters, the major evaluation indexes for water stresses analysis under multiple regional scales were compared. Furtherly, the exploration on their special properties in analyzing water stresses towards the multiple regional scales and water resources backgrounds were conducted. In addition, the principal water stresses analysis approaches and their relevant evaluation indexes under multiple regional scales were summarized for the references of the later researchers on this aspect. The conclusion from the analyses can be of importance for the authorities and policy makers in formulating the relevant water policies and strategies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhao, X., Liu, J., Liu, Q., Tillotson, M. R., Guan, D., & Hubacek, K. (2015). Physical and virtual water transfers for regional water stress alleviation in China. Proceedings of the National Academy of Sciences of the United States of America, 112, 1031–1035.
Ma, D., Xian, C., Zhang, J., Zhang, R., & Ouyang, Z. (2015). The evaluation of water footprints and sustainable water utilization in Beijing. Sustainability, 7, 13206–13221.
Dou, Y., Luo, X., Dong, L., Wu, C. T., Liang, H. W., & Ren, J. Z. (2016). An empirical study on transit-oriented low-carbon urban land use planning: Exploratory spatial data analysis (ESDA) on Shanghai, China. Habitat International, 53, 379–389.
Deng, X. J., Xu, Y. P., Han, L. F., Yang, M. N., Yang, L., Song, S., Li, G., & Wang, Y. F. (2016). Spatial-temporal evolution of the distribution pattern of river systems in the plain river network region of the Taihu Basin, China. Quaternary International, 392, 178–186.
Wang, Z. Y., Cheng, Y. Q., Ye, X. Y., & Wei, Y. H. D. (2016). Analyzing the space-time dynamics of innovation in China: ESDA and spatial panel approaches. Growth and Change, 47, 111–129.
Zhong, Q. W. (2007). The basic theoretics and application research on geographically weighted regression. Doctoral Dissertation. Tongji University, p. 138.
Tomoki Nakaya, Martin Charlton, Paul Lewis, Stewart Fotheringham, Chris Brunsdon, 2012. GWR4 user manual, 4
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Xu, M., Li, C. (2020). Principal Water Stress Analysis Indexes and Approaches Based on WFs. In: Application of the Water Footprint: Water Stress Analysis and Allocation. Springer, Singapore. https://doi.org/10.1007/978-981-15-0234-7_5
Download citation
DOI: https://doi.org/10.1007/978-981-15-0234-7_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0233-0
Online ISBN: 978-981-15-0234-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)