Research on the drought index of irrigation district with multi-time scales

Environmental Monitoring and Assessment

Volumn 185, Issue 10, 2013, Pages 8749-8757

  Zhang, Jinping ^a   Guo, Bingtuo ^b   Ding, Zhihong ^c  

^a ZHENGZHOU UNIVERSITY   (China)

^b YELLOW RIVER ENGINEERING CONSULTING CO   (China)

^c Tianjin Zhongshui Science and Technology Consulting Co LTD   (China)

Author keywords

Drought index; Empirical mode decomposition method; Multi time scales; Set pair analysis method

Indexed keywords

COMPLEX RELATIONSHIPS; DROUGHT INDICES; EMPIRICAL MODE DECOMPOSITION METHOD; INTRINSIC MODE FUNCTIONS; IRRIGATION DISTRICTS; IRRIGATION PERIOD; MULTI-TIME SCALE; SET PAIR ANALYSIS;

IRRIGATION; SIGNAL PROCESSING; SOLAR ENERGY; TIME MEASUREMENT; UNCERTAIN SYSTEMS;

DROUGHT;

AIR-SEA INTERACTION; ANNUAL VARIATION; DECOMPOSITION ANALYSIS; DROUGHT; EL NINO; EMPIRICAL ANALYSIS; INDEX METHOD; IRRIGATION; SOLAR ACTIVITY; TIMESCALE;

ARTICLE; CHINA; DROUGHT; DROUGHT INDEX; GEOLOGICAL TIME; IRRIGATION (AGRICULTURE); MATHEMATICAL ANALYSIS; METEOROLOGY; RESEARCH; SOLAR ENERGY;

AGRICULTURAL IRRIGATION; CHINA; DROUGHTS; EL NINO-SOUTHERN OSCILLATION; ENVIRONMENTAL MONITORING; WATER SUPPLY;

CHINA; NINGXIA HUIZU; YINCHUAN;

EID: 84884349445     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-013-3209-0     Document Type: Article

References (23)

1. David, M.; Judith, L.; Timothy, W.; et al. (1997). Desertification evaluated using an integrated environmental assessment model. Environmental Monitoring and Assessment, 48(2), 139-156.
2. Dong, Y. (2008). Study on nonlinear analysis of precipitation series. Beijing: Beijing transportation university.
3. Hotaek, P.; Takeshi, Y.; Kazukiyo, Y.; et al. (2008). Tempo-spatial characteristics of energy budget and evapotranspiration in the eastern Siberia. Agricultural and Forest Meteorology, 148(12), 1990-2005.
4. Huang, N. E.; Shen, Z.; et al. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A, 454, 903-995.
5. Huang, N. E.; Shen, Z.; Long, S. R.; et al. (1999). A new view of nonlinear water waves: the Hilbert spectrum. Annual Review of Fluid Mechanics, 31, 417-457.
6. Javier, T.; Borma, L. S.; Marengo, J. A.; et al. (2011). The droughts of 1996-1997 and 2004-2005 in Amazonia: hydrological response in the river main-stem. Hydrological Processes, 25(8), 1228-1242.
7. Lampros, V.; & Athanasios, L. (2009). Hydrological response to meteorological drought using the Palmer drought indices in Thessaly, Greece. Desalination, 237, 3-21.
8. Luo, Y. F.; Jiao, X. Y.; Peng, S. H. Z. H.; et al. (2009). Analysis of long-term trends of reference crop evapotranspiration in Haihe river basin. Journal of Irrigation and Drainage, 28(1), 10-13.
9. Mckee, T.B.; Doesken, N.J.; Kleist, J. (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th conference on applied climatology, American meteorological society, Anaheim, CA, Boston, MA, 17-22 January, 179-184
10. Minha, C.; Jacobs, J. M.; Anderson, M. C.; et al. (2013). Evaluation of drought indices via remotely sensed data with hydrological variables. Journal of Hydrology and Hydromechanics, 476(7), 265-273.
11. Narasimhan, B.; & Srinivasan, R. (2005). Development and evaluation of soil moisture deficit index (SMDI) and evapotranspiration defit index (ETDI) for agricultural drought monitoring. Agricultural and Forest Meteorology, 133, 69-88.
12. Palmer, W.C. (1965). Meteorological drought, Research paper 5. U.S. Department of commerce. Weather Bureau, Washington, DC
13. Quiring, S. M.; & Papakryiakou, T. N. (2003). An evaluation of agricultural drought indices for the Canadian prairies. Agricultural and Forest Meteorology, 118, 49-62.
14. Radhakrishnan, P.; & Dinesh, S. (2006). An alternative approach to characterize time series data: case study on Malaysian rainfall data. Chaos, Solitons and Fractals, 27(2), 511-518.
15. Wang, D.; Zhu, Y. S. H.; & Zhao, K. Q. (2004). Research and application of model based on set pair analysis and fuzzy set theory for evaluation of water eutrophication. Hydrolgeology Journal, 24(3), 9-13.
16. Xie, X. H.; Cui, Y. L.; & Zhou, Y. T. (2008). Long-term correlation and multi-fractality of reference crop evapotranspiration. Journal of Hydraulic Engineering, 29(32), 1327-1333.
17. Yang, H.; & Song, Z. H. S. H. (1999). Multiple time scales analysis of water resources in North China. Plateau Meteorology, 18(4), 496-509.
18. Yao, D. R.; & Qian, K. (2001). Wavelet transforms and their application to precipitation variations in the Xinanjiang river during last one hundred years. Bulletin of Science and Technology, 17(3), 17-22.
19. Zhang, D. R.; & Xue, C. H. (1994). Relationship between the El Niño and precipitation patterns in China since 1500 AD. Quarterly Journal of Applied Meteorology, 5(2), 168-175.
20. Zhang, W. W.; Jin, J. L.; Zhou, Y.; et al. (2008a). Fuzzy connection degree method for comprehensive evaluation of regional groundwater resources carrying capacity. Journal of Sichuan University, 40(6), 6-12.
21. Zhang, Y.; Xu, J. H.; & Lu, G. G. (2008b). Dynamic analysis of water footprint and resources utility efficiency of Xinjiang in northwest of China arid areas. Journal of Desert Research, 28(4), 775-783.
22. Zhao, K. Q.; & Xuan, A. L. (1989). Pair theory - a new theory method of non-define and its applications. Systems Engineering, 14(1), 18-23.
23. Zhu, B.; Wang, H. F.; Wang, W. S. H.; et al. (2007). Analysis of relation between flood peak and volume based on set pair analysis. Journal of Sichuan University, 39(3), 29-33.