Vulnerability of assessing water resources by the improved set pair analysis

Thermal Science

Volumn 18, Issue 5, 2014, Pages 1531-1535

  Yang, Xiao Hua ^a   He, Jun ^a   Di, Cong Li ^a   Li, Jian Qiang ^b  

^a Beijing Normal University   (China)

^b Research Center on Levee Safety Disaster Prevention MWR   (China)

Author keywords

Assessment; Climate change; Improved set pair analysis; Ningxia; Water resources vulnerability

Indexed keywords

CLIMATE MODELS; GLOBAL WARMING; NEURAL NETWORKS; UNCERTAINTY ANALYSIS;

ANALYSIS MODELS; ASSESSMENT; ASSESSMENT MODELS; HYDROLOGICAL PROCESS; IMPROVED SET PAIR ANALYSE; NINGXIUM; SET PAIR ANALYSIS; VULNERABILITY ASSESSMENTS; WATER RESOURCE VULNERABILITY; WATERS RESOURCES;

WATER RESOURCES;

EID: 84923814230     PISSN: 03549836     EISSN: None     Source Type: Journal    
DOI: 10.2298/TSCI1405531Y     Document Type: Article

References (9)

1. Qiao, L. X., et al., Analysis Model for Forecasting Extreme Temperature Using Refined Rank Set Pair, Thermal Science, 17 (2013), 5, pp. 1369-1374
2. Bosnjakovic, B., Geopolitics of Climate Change: a Review, Thermal Science, 16 (2012), 3, pp. 629-654
3. Xia, J., et al., The Renewability of Water Resources and Its Quantification of the Haihe in China (in Chinese), Acta Geographica Sinica, 58 (2003), 1, pp. 534-541
4. Yang X. H., et al., An Ideal Interval Method of Multi-Objective Decision-Making for Comprehensive Assessment of Water Resource Renewability, Science in China, Series E, 47 (2004), I, pp. 42-50
5. Chu, A., et al., A Comparison of Two Methods for Determining the Weights of Beinging to Fuzzy Sets, Journal of Optimization Theory and Application, 27 (1979), 1, pp. 531-538
6. Iliadis, L. S., Maris F., An Artificial Neural Network Model for Mountainous Water-Resources Management: The Case of Cyprus Mountainous Watersheds, Environmental Modelling and Software, 22 (2007), 7, pp. 1066-1072
7. Yang, X. H., et al., Comprehensive Assessment for Removing Multiple Pollutants by Plants in Bioretention Systems, Chinese Science Bulletin, 59 (2014), 13, pp. 1446-1453
8. Mei, Y., et al., A New Assessment Model for Pollutant Removal Using Mulch in Bioretention Processes, Fresenius Environmental Bulletin, 22 (2013), 5a, pp. 1507-1515
9. Yang, X. H., et al., Nonlinear Optimization Set Pair Analysis Model (NOSPAM) for Assessing Water Resource Renewability, Nonlinear Processes in Geophysics, 18 (2011), 4, pp. 599-607