Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China
Trend detection based on hydroclimatological time series is crucial for understanding climate change. In this study, the innovative trend analysis (ITA) method was applied to investigate trends in air temperature and precipitation over the Jinsha River Basin (JRB), China, from 1961 to 2016 based on...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | English |
| Published: |
MDPI
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/82654 |
| _version_ | 1848764530596773888 |
|---|---|
| author | Dong, Z. Jia, W. Sarukkalige, Ranjan Fu, G. Meng, Q. Wang, Q. |
| author_facet | Dong, Z. Jia, W. Sarukkalige, Ranjan Fu, G. Meng, Q. Wang, Q. |
| author_sort | Dong, Z. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Trend detection based on hydroclimatological time series is crucial for understanding climate change. In this study, the innovative trend analysis (ITA) method was applied to investigate trends in air temperature and precipitation over the Jinsha River Basin (JRB), China, from 1961 to 2016 based on 40 meteorological stations. Climatic factors series were divided into three categories according to percentile, and the hidden trends were evaluated separately. The ITA results show that annual and seasonal temperatures have significantly increased whereas the variation range of annual temperature tended to narrow. Spatial pattern analysis of the temperature indicates that high elevation areas show more increasing trends than flat areas. Furthermore, according to ITA, significant increase trends are observed in annual precipitation and “high” category of spring precipitation. The sub-basins results show a significant decreasing trend in elevation zones of ≤2000 m and an increasing trend where elevation is >2000 m. Moreover, linkage between temperature and precipitation was analyzed and the potential impact of the combined changes was demonstrated. The results of this study provide a reference for future water resources planning in the JRB and will help advance the understanding of climate change in similar areas. |
| first_indexed | 2025-11-14T11:20:49Z |
| format | Journal Article |
| id | curtin-20.500.11937-82654 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:20:49Z |
| publishDate | 2020 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-826542021-03-15T01:55:27Z Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China Dong, Z. Jia, W. Sarukkalige, Ranjan Fu, G. Meng, Q. Wang, Q. Science & Technology Life Sciences & Biomedicine Physical Sciences Environmental Sciences Water Resources Environmental Sciences & Ecology innovative trend analysis temperature precipitation elevation Jinsha River Basin climate change YANGTZE-RIVER TEMPORAL VARIABILITY CLIMATE-CHANGE IMPACTS AGRICULTURE IDENTIFICATION EXTREMES REGION TESTS Trend detection based on hydroclimatological time series is crucial for understanding climate change. In this study, the innovative trend analysis (ITA) method was applied to investigate trends in air temperature and precipitation over the Jinsha River Basin (JRB), China, from 1961 to 2016 based on 40 meteorological stations. Climatic factors series were divided into three categories according to percentile, and the hidden trends were evaluated separately. The ITA results show that annual and seasonal temperatures have significantly increased whereas the variation range of annual temperature tended to narrow. Spatial pattern analysis of the temperature indicates that high elevation areas show more increasing trends than flat areas. Furthermore, according to ITA, significant increase trends are observed in annual precipitation and “high” category of spring precipitation. The sub-basins results show a significant decreasing trend in elevation zones of ≤2000 m and an increasing trend where elevation is >2000 m. Moreover, linkage between temperature and precipitation was analyzed and the potential impact of the combined changes was demonstrated. The results of this study provide a reference for future water resources planning in the JRB and will help advance the understanding of climate change in similar areas. 2020 Journal Article http://hdl.handle.net/20.500.11937/82654 10.3390/w12113293 English http://creativecommons.org/licenses/by/4.0/ MDPI fulltext |
| spellingShingle | Science & Technology Life Sciences & Biomedicine Physical Sciences Environmental Sciences Water Resources Environmental Sciences & Ecology innovative trend analysis temperature precipitation elevation Jinsha River Basin climate change YANGTZE-RIVER TEMPORAL VARIABILITY CLIMATE-CHANGE IMPACTS AGRICULTURE IDENTIFICATION EXTREMES REGION TESTS Dong, Z. Jia, W. Sarukkalige, Ranjan Fu, G. Meng, Q. Wang, Q. Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China |
| title | Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China |
| title_full | Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China |
| title_fullStr | Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China |
| title_full_unstemmed | Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China |
| title_short | Innovative trend analysis of air temperature and precipitation in theJinsha River Basin, China |
| title_sort | innovative trend analysis of air temperature and precipitation in thejinsha river basin, china |
| topic | Science & Technology Life Sciences & Biomedicine Physical Sciences Environmental Sciences Water Resources Environmental Sciences & Ecology innovative trend analysis temperature precipitation elevation Jinsha River Basin climate change YANGTZE-RIVER TEMPORAL VARIABILITY CLIMATE-CHANGE IMPACTS AGRICULTURE IDENTIFICATION EXTREMES REGION TESTS |
| url | http://hdl.handle.net/20.500.11937/82654 |