The Taihang Mountain Region of North China is Experiencing A Significant Warming Trend
| Autor: | Hongzhu Liang, Hui Gao, Jintong Liu, Tonggang Fu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
010504 meteorology & atmospheric sciences
Geography Planning and Development lcsh:TJ807-830 lcsh:Renewable energy sources Climate change 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Gross domestic product Physics::Geophysics Latitude Beijing Transition zone Afforestation lcsh:Environmental sciences 0105 earth and related environmental sciences lcsh:GE1-350 gross domestic product Renewable Energy Sustainability and the Environment lcsh:Environmental effects of industries and plants Elevation Building and Construction climate change lcsh:TD194-195 mann–kendall test Physics::Space Physics Environmental science Astrophysics::Earth and Planetary Astrophysics Physical geography regional warming Longitude |
| Zdroj: | Sustainability, Vol 13, Iss 856, p 856 (2021) Sustainability Volume 13 Issue 2 |
| ISSN: | 2071-1050 |
| Popis: | The Earth&rsquo s climate has warmed by approximately 0.6 ° C over the last century, but temperature change in the Taihang Mountain region&mdash an important transition zone in North China which functions as an ecological barrier for Beijing, Tianjin, and other big cities&mdash is still unknown. In this study, we analyze the spatial and temporal trends in the average annual and seasonal surface air temperature in the Taihang Mountain region from 1968 to 2017. The effect of elevation, longitude, latitude, percent forestland, percent farmland, and gross domestic product (GDP) on temperature was also determined. Our results show that the Taihang Mountain has warmed by 0.3 ° C/decade over the past five decades. Partitioned seasonally, average warming was 0.38, 0.14, 0.21, and 0.47 ° C/decade in spring, summer, fall, and winter, respectively. Elevation and latitude were significantly negatively correlated with temperature but had no correlation with the temporal warming trend (i.e., the Z value from a Mann&ndash Kendall test). The Z value was significantly negatively correlated with percent forestland and positively correlated with GDP, indicating that economic development has induced warming, but afforestation may reduce the rate of warming increase. Together, our results provide important insights into the rates and drivers of climate change within mountainous regions. |
| Databáze: | OpenAIRE |
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