Detecting Variation Trends of Temperature and Precipitation for the Dadu River Basin, China

Joint Authors

Wu, Ying
Wang, Wensheng
Wang, Guoqing

Source

Advances in Meteorology

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-06-23

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Physics

Abstract EN

This study analyzes the variation trends of temperature and precipitation in the Dadu River Basin of China based on observed records from fourteen meteorological stations.

The magnitude of trends was estimated using Sen’s linear method while its statistical significance was evaluated using Mann-Kendall’s test.

The results of analysis depict increase change from northwest to southeast of annual temperature and precipitation in space.

In temporal scale, the annual temperature showed significant increase trend and the annual precipitation showed increase trend.

For extreme indices, the trends for temperature are more consistent in the region compared to precipitation.

This paper has practical meanings for an effective management of climate risk and provides a foundation for further study of hydrological situation in this river basin.

American Psychological Association (APA)

Wu, Ying& Wang, Wensheng& Wang, Guoqing. 2016. Detecting Variation Trends of Temperature and Precipitation for the Dadu River Basin, China. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095398

Modern Language Association (MLA)

Wu, Ying…[et al.]. Detecting Variation Trends of Temperature and Precipitation for the Dadu River Basin, China. Advances in Meteorology No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1095398

American Medical Association (AMA)

Wu, Ying& Wang, Wensheng& Wang, Guoqing. Detecting Variation Trends of Temperature and Precipitation for the Dadu River Basin, China. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1095398

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1095398