The Contribution Rate of Driving Factors and Their Interactions to Temperature in the Yangtze River Delta Region

Abstract

Complex temperature processes are the coupling results of natural and human processes, but few studies focused on the interactive effects between natural and human systems. Based on the dataset for temperature during the period of 1980–2012, we analyzed the complexity of temperature by using the Correlation Dimension (CD) method. Then, we used the Geogdetector method to examine the effects of factors and their interactions on the temperature process in the Yangtze River Delta (YRD). The main conclusions are as follows: (1) the temperature rose 1.53 °C; and, among the dense areas of population and urban, the temperature rose the fastest. (2) The temperature process was more complicated in the sparse areas of population and urban than in the dense areas of population and urban. (3) The complexity of temperature dynamics increased along with the increase of temporal scale. To describe the temperature dynamic, at least two independent variables were needed at a daily scale, but at least three independent variables were needed at seasonal and annual scales. (4) Each driving factor did not work alone, but interacted with each other and had an enhanced effect on temperature. In addition, the interaction between economic activity and urban density had the largest influence on temperature.

The spatial heterogeneity of the impact of PM2.5 on domestic tourism flows in China

“…EOF is mainly used to extract the characteristics of the main data. It can describe the original variable field with a small number of spatial distribution modes and can cover a large amount of information on the original variable field [31]. The method has been widely used in the field of meteorology.…”

“…Geogdetector is a tool for detecting and exploiting spatial heterogeneity and revealing forces driving the variability [34]. The advantages of this method are not only its ability to detect both quantitative and qualitative data but its ability to detect the interaction between the two factors [31].…”

“…Geogdetector includes 4 detectors: a risk detector, a factor detector, an interaction detector, and an ecological detector [31]. For our research purpose, only the first two detectors are introduced here.…”

Climate Change, Climatic Extremes, and Human Societies in the Past

“…Zhou et al [7] use temperature data over 1980-2012 together with the Correlation Dimension method to analyze the temperature dynamics in the Yangtze River Delta in China. They find that the temperature rose by 1.53 • C over this period and the temperature rose the fastest in densely populated urban areas.…”

Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece

“…Such a model is the Geographical Detector (GeoDetector). Although GeoDetector has been tested in various studies of health, social and environmental sciences [20][21][22] over the last few years, its use in landslide-related research has been quite limited. Since it provides an effective way to identify and eliminate redundant variables, GeoDetector has been used in a few relevant studies [14,23,24] for factor selection purposes.…”