1. 华南师范大学 地理科学学院,广东,广州,510631
2. 赣南师范大学 地理与环境工程学院,江西,赣州,341000
纸质出版:2021
移动端阅览
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Wang Xiaojun, Zhang Churan, Liao Yiling, et al. Spatial and Temporal Characteristics of Hemeroby Degree in Guangdong-Hongkong-Macao Greater Bay Area During 1980-2018[J]. Bulletin of Soiland Water Conservation, 2021, 41(3): 333-341.
王小军, 张楚然, 廖倚凌, 等. 1980-2018年粤港澳大湾区人为干扰度的时空特征[J]. 水土保持通报, 2021,41(3):333-341. DOI: 10.13961/j.cnki.stbctb.2021.03.043.
Wang Xiaojun, Zhang Churan, Liao Yiling, et al. Spatial and Temporal Characteristics of Hemeroby Degree in Guangdong-Hongkong-Macao Greater Bay Area During 1980-2018[J]. Bulletin of Soiland Water Conservation, 2021, 41(3): 333-341. DOI: 10.13961/j.cnki.stbctb.2021.03.043.
[目的] 研究大湾区人为干扰因素的时空特征,为解决区域经济迅速发展衍生的一系列人地关系问题及可持续发展提供参考。[方法] 基于土地利用数据分析1980—2018年人为干扰时空特征,利用地理探测器分析人为干扰度空间分异的自然与社会驱动因素。[结果] ①湾区用地类型以林地、耕地为主,但城镇用地和其他建设用地在近40 a增长了4.25倍。②近40 a湾区以中度人为干扰为主,但向重度和完全干扰发展;人为干扰总强度在较发达城市高,欠发达城市低;人为干扰平稳度以高度平稳为主,但不平稳区域在2010—2018年迅速扩张。③人为干扰总强度空间分布主要受夜间灯光指数、交通密度、年均温、高程和坡度影响;因子交互作用主要表现为双因子增强和非线性增强;湾区内部城市的人为干扰总强度主要受社会经济因素驱动,外围城市主要受自然环境因素驱动。[结论] 大湾区人为干扰呈扩张与升高趋势,在地形地貌限制下,人为活动强弱驱动干扰度以城市为中心和次中心向外扩展。
[Objective] The spatial and temporal characteristics of human disturbance in the Guangdong-Hongkong-Macao Greater Bay Area (GHMGBA) was determined in order to provide reference data for solving a series of human-land relationship problems and sustainable development caused by rapid regional economic development. [Methods] The temporal and spatial characteristics of hemeroby from 1980 to 2018 were analyzed
and the spatial heterogeneity of hemeroby from natural and social driving factors was analyzed by using GeoDetector. [Results] ① Land use in the GHMGBA was classified mainly as forest land and cultivated land
but urban land and other construction land had increased by 4.25 times in the past 40 years. ② During the past 40 years
the GHMGBA was dominated by moderate hemeroby
but had developed towards severe and complete. The total intensity of hemeroby was higher in more developed cities and lower in under developed cities. The stability of hemeroby was generally highly stable
but the unstable area expanded rapidly during 2010—2018. ③ The spatial distribution of the total intensity of hemeroby was mainly affected by night light index
traffic density
annual average temperature
elevation
and slope. The factor interaction was mainly manifested as two-factor enhancement and nonlinear enhancement. The total intensity of hemeroby in core cities in the GHMGBA was mainly driven by socio-economic factors
and the total intensity of hemeroby in peripheral cities was mainly driven by natural environmental factors. [Conclusion] The hemeroby of the GHMGBA is expanding and increasing. Under the constraints of topography and geomorphology
the intensity of human activities drives the degree of hemeroby to expand with the city as the center and the sub-center.
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