Spatial-Temporal Variation of Aridity Index of China during 1960–2013
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 impac...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/1536135 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849398381392166912 |
|---|---|
| author | Huiping Huang Yuping Han Mingming Cao Jinxi Song Heng Xiao |
| author_facet | Huiping Huang Yuping Han Mingming Cao Jinxi Song Heng Xiao |
| author_sort | Huiping Huang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a21681a46bb14ef69c8ece9abc35c2d4 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-a21681a46bb14ef69c8ece9abc35c2d42025-08-20T03:38:38ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/15361351536135Spatial-Temporal Variation of Aridity Index of China during 1960–2013Huiping Huang0Yuping Han1Mingming Cao2Jinxi Song3Heng Xiao4School of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaCollege of Urban Environmental Science, Northwest University, Xi’an 710127, ChinaCollege of Urban Environmental Science, Northwest University, Xi’an 710127, ChinaSchool of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaAridity 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.http://dx.doi.org/10.1155/2016/1536135 |
| spellingShingle | Huiping Huang Yuping Han Mingming Cao Jinxi Song Heng Xiao Spatial-Temporal Variation of Aridity Index of China during 1960–2013 Advances in Meteorology |
| title | Spatial-Temporal Variation of Aridity Index of China during 1960–2013 |
| title_full | Spatial-Temporal Variation of Aridity Index of China during 1960–2013 |
| title_fullStr | Spatial-Temporal Variation of Aridity Index of China during 1960–2013 |
| title_full_unstemmed | Spatial-Temporal Variation of Aridity Index of China during 1960–2013 |
| title_short | Spatial-Temporal Variation of Aridity Index of China during 1960–2013 |
| title_sort | spatial temporal variation of aridity index of china during 1960 2013 |
| url | http://dx.doi.org/10.1155/2016/1536135 |
| work_keys_str_mv | AT huipinghuang spatialtemporalvariationofaridityindexofchinaduring19602013 AT yupinghan spatialtemporalvariationofaridityindexofchinaduring19602013 AT mingmingcao spatialtemporalvariationofaridityindexofchinaduring19602013 AT jinxisong spatialtemporalvariationofaridityindexofchinaduring19602013 AT hengxiao spatialtemporalvariationofaridityindexofchinaduring19602013 |