Table of Contents Author Guidelines Submit a Manuscript
Advances in Meteorology
Volume 2016 (2016), Article ID 1536135, 10 pages
http://dx.doi.org/10.1155/2016/1536135
Research Article

Spatial-Temporal Variation of Aridity Index of China during 1960–2013

1School of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
2College of Urban Environmental Science, Northwest University, Xi’an 710127, China
3Collaborative Innovation Center of Henan Province, Zhengzhou 450045, China

Received 16 March 2015; Revised 7 August 2015; Accepted 17 August 2015

Academic Editor: Mark D. Svoboda

Copyright © 2016 Huiping Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Aridity index, as the ration of potential evapotranspiration and precipitation, is an important indicator of regional climate. GIS technology, Morlet wavelet, Mann-Kendall test, and principal component analysis are utilized to investigate the spatial-temporal variation of aridity index and its impacting factors in China on basis of climate data from 599 stations during 1960–2013. Results show the following. (1) Boundaries between humid and semihumid region, and semihumid and semiarid region coincide with 400 mm and 800 mm precipitation contour lines. (2) Average annual aridity index is between 3.4 and 7.5 and shows decrease trend with a tendency of –0.236 per decade at 99% confidence level. (3) The driest and wettest month appear in December and July, respectively, in one year. (4) Periods of longitudinal and latitudinal shift of aridity index 1, 1.5, and 4 contours coordinate are 10 and 25 years, 6 and 26 years, and 5 and 25 years, respectively. (5) Four principal components which affect aridity index are thermodynamic factors, water and radiation factors, geographical and air dynamic factors, and evaluation factor, respectively.