Analysis of Precipitation Concentration in Gaoyou Irrigation District: Implications for Increasing Effective Rainfall

Article Preview

Abstract:

The humid region in south China has abundant rainfall. In order to make effective use of rainfall and save irrigation water, we collected the historical precipitation data of Gaoyou Irrigation District for the past fifty years and used the Geordie Coefficient model of precipitation time evenness index to calculate the precipitation concentration index in different growth stages of rice. The results showed that the precipitation concentration index was low in the early stages of rice; while it gradually increased in the later stages. The precipitation concentration index reached the minimum during the jointing-booting stage and the peak the maturing stage. There were also deceasing trends in precipitation concentration for the early stages. Therefore, it is possible to make better use of rainfall in the early stages of rice growth and save irrigation water. It is necessary to investigate accuracy of rainfall forecasts in future studies.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

311-315

Citation:

Online since:

October 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Y. Zhao. A survey on agricultural irrigation water price of China[J]. Gansu Agr. Sci. and Techn, 2006, 4: 26-27. (In Chinese with English abstract).

Google Scholar

[2] L C Guerra, S I Bhuiyan, T P Toung, et al. Producing more rice with less water from irrigated systems. SWIM Paper 5. International Water Management Institute, Colombo Sri Lanka, (1998).

Google Scholar

[3] Y. Yang. The development direction and significance of water-saving agriculture[J]. Water Resources Development Research, 2011, 10: 35-37. (In Chinese with English abstract).

Google Scholar

[4] F. Q. Xu. Concise analysis of effective precipitation[J]. Meteorological, hydrological and marine instruments, 2009, 1: 96-100. (In Chinese with English abstract).

Google Scholar

[5] G. Y. Shi, Z. P. Zhou. Studies on rice drought test in circumstances of simulated rainfall[J], Irrigation and Drainage, 1997, 16(1): 6-9. (In Chinese with English abstract).

Google Scholar

[6] X. Y. Kang, G. S. Zhao, N. Shunjiya, et al. Precipitation analysis and water resources development and utilization in Wengniuteqi in nearly 10 years[J]. The Neimenggu, 2008, 6: 18-19. (In Chinese with English abstract).

Google Scholar

[7] W. Q. Xing, W. G. Wang, Y. Q. Wu, et al. (2011) Change properties of precipitation concentration in Huaihe River Basin[J]. Water Resources and Power, 29(5): 1-5. (In Chinese with English abstract).

Google Scholar

[8] C. E. P. Brooks, N. Carruthers. (1953) Handbooks of statistical methods in meteorology. Meteorological Office, London.

Google Scholar

[9] J Martin-vide (2004) Spatial distribution of a daily precipitation concentration index in Peninsular Spain. International Journal Climatology. 24: 959–971.

DOI: 10.1002/joc.1030

Google Scholar

[10] Riehl H (1949) Some aspects of Hawaiian rainfall. Bulletin of American Meteorology Society, 3(5): 176–177.

Google Scholar

[11] M. J. Olascoaga. (1950) Some aspects of Argentine rainfall. Tellus, 2(4): 312.

DOI: 10.3402/tellusa.v2i4.8601

Google Scholar

[12] H. B. Mann. (1945) Non-parametric tests again trend. Econometrica, 13, 245–259.

Google Scholar

[13] M. G. Kendall. (1962) Rank correlation methods, third ed. Hafner Publishing Company, New York.

Google Scholar

[14] J. R. Lanzante. (1996) Resistant, robust and non-parametric techniques for the analysis of climate data: theory and examples including applications to historical radiosonde station data. International Journal of Climatology, 16, 1197–1226.

DOI: 10.1002/(sici)1097-0088(199611)16:11<1197::aid-joc89>3.0.co;2-l

Google Scholar