Quantitative analysis of the impacts of terrestrial environmental factors on precipitation variation over the Beibu Gulf Economic Zone in Coastal Southwest China

被引:17
|
作者
Zhao, Yinjun [1 ,2 ]
Deng, Qiyu [2 ]
Lin, Qing [1 ]
Cai, Chunting [2 ]
机构
[1] Guangxi Teachers Educ Univ, Minist Educ, Key Lab Environm Change & Resources Use Beibu Gul, 175 Mingxiu East St, Nanning 530001, Peoples R China
[2] Guangxi Teachers Educ Univ, Sch Geog & Planning, 175 Mingxiu East St, Nanning 530001, Peoples R China
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
关键词
IRRIGATION; CLIMATE; AFFORESTATION; RAINFALL; URBAN;
D O I
10.1038/srep44412
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Taking the Guangxi Beibu Gulf Economic Zone as the study area, this paper utilizes the geographical detector model to quantify the feedback effects from the terrestrial environment on precipitation variation from 1985 to 2010 with a comprehensive consideration of natural factors (forest coverage rate, vegetation type, terrain, terrestrial ecosystem types, land use and land cover change) and social factors (population density, farmland rate, GDP and urbanization rate). First, we found that the precipitation trend rate in the Beibu Gulf Economic Zone is between -47 and 96 mm/10a. Second, forest coverage rate change (FCRC), urbanization rate change (URC), GDP change (GDPC) and population density change (PDC) have a larger contribution to precipitation change through land-surface feedback, which makes them the leading factors. Third, the human element is found to primarily account for the precipitation changes in this region, as humans are the active media linking and enhancing these impact factors. Finally, it can be concluded that the interaction of impact factor pairs has a significant effect compared to the corresponding single factor on precipitation changes. The geographical detector model offers an analytical framework to reveal the terrestrial factors affecting the precipitation change, which gives direction for future work on regional climate modeling and analyses.
引用
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页数:13
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