Spatial Simulation of Precipitation Resources in Chongqing

Article Preview

Abstract:

Years’ precipitation data of Chongqing from 101 metrological stations has been adopted in the paper and the regression equations between annual precipitation and altitude, longitude, and height have been obtained by the use of SPSS, then elaborate simulation of Chongqing’s precipitation resources based on regression analysis was completed through the 1km×1km grid system and fitted equation. Elaborated simulation of precipitation resources was realized by best spatial interpolation method with the support of GIS; then the results of two different simulation methods were coupled in the form of linear combination to obtain the coupling simulation of spatial distribution of Chongqing’s precipitation resources, finally the precipitation resources were summed up and distributed according to different administration areas at county level and thus obtain precise simulation data of precipitation resources in each county of Chongqing. The results showed that there is a remarkable regional difference in the spatial distribution of precipitation resources of Chongqing, and it decreases from the southeast to the northwest in general, with the annual precipitation higher than 1270mm in southeast and lower than 1080mm in northwest.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

4261-4265

Citation:

Online since:

May 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Tae-Woong Kim,Chulsang Yoo,Jae-Hyun Ahn.Influence of climate variation on seasonal precipitation in the Colorado River Basin.Stochastic Environmental Research and Risk Assessment, 2008, 22(3):411-420.

DOI: 10.1007/s00477-007-0126-1

Google Scholar

[2] PaoShan Yu,TaoChang Yang,ChunChao Kuo.Evaluating Long-Term Trends in Annual and Seasonal Precipitation in Taiwan.Water Resources Management,2006,20(6):1007-1023.

DOI: 10.1007/s11269-006-9020-8

Google Scholar

[3] Zhang Xudong, Xin Jiwu, Wang Runyuan,et al.Analysis of precipitation in Gansu Province based on DEM.Agricultural Research in the Arid Areas,2009,(5):1-5(In Chinese).

Google Scholar

[4] Shen Hong,Liu Wenzhao.Simulating spatial distribution of precipitation over the Loess Plateau based on macro-geographical factors.Agricultural Research in the Arid Areas,2011,29(1):237-241(In Chinese).

Google Scholar

[5] He GongYan,Guo Zhihua,Xiao Wenfa.Review on spatial interpolation techniques of rainfall.Chinese Journal of Ecology,2005,24(10):1187-1191(In Chinese).

Google Scholar

[6] Chu Shaolin, Zhou Zhaoye, Yuan Lei,et al.Study on spatial precipitation interpolation methods-A case of Gansu province.Pratacultural Science,2008,25(6):19-23(In Chinese).

Google Scholar

[7] Lin Xiaosong,Yu qing.Study on the Spatial Interpolation of Agroclimatic Resources in Chongqing.Journal of Anhui Agricultural Sciences,2008,36(30):13461-13463(In Chinese).

Google Scholar

[8] Zheng Xiaobo, Luo Yuxiang, Yu Fei,et al.Comparisons of Spatial Interpolation Methods for Agro-climate Factors in Complex Mountain Areas of Southwest China.Chinese Journal of Agrometeorology,2008,29(4):458-462(In Chinese).

Google Scholar