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The swift evolution of urbanization in China has led to a rapid increase in the demand for infrastructure. Infrastructure consumes significant amounts of construction materials. The production, packaging, transportation and use of these materials require energy and, therefore, are a source of carbon emissions. In order to make the construction of infrastructure satisfy people’s life demands and economic development, and at the same time conform to low carbon ideas, it is necessary to understand the spatial and temporal variations of embodied carbon emissions and its regional disparity. This study classifies and sorts the calculation parameters of infrastructure material stock and embodied carbon emissions. It estimates the trends and magnitude of 31 provinces over a period of 20 years (1997–2016) and analyzes the spatial-temporal characteristics. Our results indicate that: (1) The overall infrastructure embodied carbon emissions amount to 3204 billion tons; (2) the embodied carbon emissions from buildings are far greater than that of transportation infrastructure, however, the annual growth rate is contrary to this; (3) the spatial and temporal variations show regional inequality, with the eastern coastal area being higher than the central and western inland areas and the economically developed areas being higher than the less developed areas.

Natural disaster risk assessment is one of the hot fields of the study of natural disaster. It is of theoretical and practical significance to accurately identify the trend of natural disasters. Not all the natural disaster has the quality of spatial symmetry, only some disasters during some certain periods (active period) and some certain regions share this quality, which requires substantial research work to distinguish. This paper takes the spatial symmetry axis of earthquake hazard in china as the key of assessing natural disaster risk to emphatically analyze the rationality of the existence of the spatial symmetry axis of the regions of western china, Yunnan province and Taiwan and find out the dynamics basis of spatial symmetry axis combing with those presentational features, so as to provide some theoretical thinking and methods for reference to identify the time, spatial trends of the earthquake disaster occurrence. The results show that the earthquakes have the quality of spatial symmetry in certain regions and the symmetry has the basis of dynamics, which can work as the basis of the regional earthquake trend. And further improvements are needed to judge the earthquake trend to combine the spatial imagery, dynamics basis and physical mechanism..

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The loess hilly region is a typical ecologically fragile and sensitive area. It is of great significance when measuring the balance between supply and demand of ecosystem services and clarify the relationship between supply and demand of ecosystem services for scientific ecological restoration zoning and realizing regional ecological security and social and economic sustainable development. We take Yuzhong County in the loess hilly region of Longzhong, China as an example; by constructing the matching and coordinating relationship between ecosystem service supply and demand and following the idea of “problem diagnosis—strategic orientation—key optimization”, this paper delimits the ecological restoration zones and proposes corresponding governance strategies. The results show that: (1) The supply and demand of ecosystem services were mainly at a low and medium level, with significant spatial heterogeneity. Overall, the spatial pattern of ecosystem services showed high supply and low demand in the southwest mountainous areas and showed low supply and high demand in the urban gully areas of Yuzhong. (2) There were four types of spatial matching of ecosystem service supply and demand: HH type, LH type, LL type, and HL type. The local spatial autocorrelation of supply and demand was dominated by high-low or low-high spatial misadjustment. The average degree of coordination between supply and demand of ecosystem services was 0.629, indicating that supply and demand were basically coordinated. (3) The ecological restoration zones in Yuzhong County can be divided into six categories: the ecological core protection area, ecological potential restoration area, key ecological restoration area, soil and water conservation restoration area, ecological agriculture development area, and ecological innovation promotion area. The results of this study can provide ideas for the refined management and targeted restoration practice of regional ecosystem services. It provides a strong guarantee for ecosystem management and decision-making in the loess hilly region.