Based on the Global Tide and Surge Reanalysis (GTSR) dataset, the relevant Digital Elevation Model (DEM) was imported into ArcGIS and spatial analysis tools were used to extract possible flooding ranges due to sea level rise in 11 provinces and cities of coastal China. Combined with population, economic, and land use data, a sea level rise risk exposure assessment model is constructed and the population and economic risk exposure from sea level rise in coastal region of China are assessed. Three primary conclusions are drawn from the evaluation: (1) The impact of sea level rise on the coast areas is mainly concentrated in the Yangtze River Delta and northern Jiangsu coastal plains, as well as the Pearl River Delta and Bohai Rim, and other coastal plain areas. The most seriously affected land use types are arable land, which accounts for 65% of affected areas, followed by construction land; (2) Based on population and economic statistics from 2015 and 10 to 1000 years return periods, sea level rise increases risks to populations and the aggregated economy. In terms of sea level rise risk exposure, Guangzhou is most exposed and other areas with high exposure are concentrated in the Yangtze River Delta, northern Jiangsu coastal plains, the Pearl River Delta and Bohai Rim Region; (3) Based on population and economic statistics estimated using five shared social economic paths (SSPs), and variations in return periods from 10 to 1000 years, the gross population and the aggregated economies for 2025 and 2100 tended to increase in different paths. The conventional development path (SSP5) resulted in the largest affected population and aggregated economy while the local or inconsistent development path (SSP3) and unbalanced development path (SSP4) resulted in lower impacts than those of the other three paths. Changes in the return period from 10 to 1000 years can shift the risk exposure. Comparing the exposure risk to the population and economies, we found that the exposure degree in 2100 will be lower than that in 2025.

The decline of countryside has become a worldwide problem nowadays, which is why cracking rural diseases is the key to revitalize the countryside. Existing rural researches mainly focus on one single system, rural transformation or specific issues, but there are few studies on the rural system and its subsystems, and the internal driving logic of rural development. Based on data of counties in the Huang-Huai-Hai Area, this study characterized the spatial pattern of the coupling coordination degree through rural inner systems, which include 3 subsystems of population, land and industry. Furthermore, it discussed the internal driving logic of rural development driven by population-land-industry. The results show that: (1) The rural population-land-industry development in most counties in the Huang-Huai-Hai Area is at a high-level coupling stage, and there are 4 obvious high-value axes in the spatial pattern. Meanwhile, the development level of the rural system is increasing year by year. (2) The coupling coordination level is relatively high in rural areas of the plain, but most parts are in the stage of reluctant or primary coordination. Counties with high-level coupling coordination are centrally distributed in economically developed areas. (3) The rural coupling-coordination relationships in the study region can be divided into 3 types: low coordination level-land development leading, middle coordination level-population development leading, high coordination level-population-industry development leading. The industry is of vital importance in the coordinated development of rural areas in the Huang-Huai-Hai Area. (4) The coordinated development of rural population-land-industry can effectively activate the "four forces" and lay the foundation for sustainable development in rural areas. This study provides a guidance for understanding rural system, solving the rural diseases and realizing the sustainable development in rural areas.

The Three Gorges Reservoir Area (TGRA) is a typical ecological vulnerable area with a characteristic of rural, mountainous and immigrant areas, therefore, it is of great significance to study the traditional agroecosystem changes in the TGRA for rural development and revitalization. According to the framework of "theoretical analysis - empirical study - trend prediction", this paper, taking the Caotangxi watershed as an example, analyzes the transition and trend of the traditional agroecosystem in the mountainous area of TGRA from the spatial change of man-land relationship by combining the Quick Bird high-resolution remote sensing images from 2012 to 2017, the natural resources and the farmers' behavior. The results show that: (1) the agroecosystem in the TGRA can be divided into four models by using buffer rings of 100 m interval, namely, the high-low-low, high-low-high, low-high-low and low-low-high. Different models, which represent the agricultural development stages in the TGRA, can reveal the trend of traditional agroecosystem transition from traditional way to modernization. (2) The agroecosystem in the TGRA is gradually transforming from the extensive agricultural land use to the intensive utilization way characterized by the rationalization of planting structure and species diversity within a range of 300 m around the settlements, through the ecological restoration way such as the abandonment of sloping farmland and the planting of economic fruit forest in the traditional farming area. (3) The traditional agroecosystem in the TGRA, represented by system elements such as farmers and sloping farmland, is undergoing transformation. Among them, the sloping farmland has mostly transformed from the type dominated by production function to the type with an equal emphasis on ecological and economic functions, the way of farmers' livelihood has tended to diversify, the ecosystem vitality of settlements system has gradually increased, and the change range of agroecosystem transition has basically migrated from high mountain area to valley flat area. Additionally, although there is a deficiency in study time limit, the results still have enlightenment for the rural land use, the control of soil and water loss and the improvement of rural living environment of the mountainous areas in the TGRA.

The reforms of global production modes and social systems have accelerated the process of urbanization, and the urban-rural flow speeds up spatial differentiation in the rural suburbs. Based on spatial production theory and game theory, this paper analyzes the spatial differentiation and its influence mechanism in Beicun in the suburbs of Guangzhou. The results are as follows: (1) Since the 1980s, Beicun has experienced three stages: agricultural development, industrial development, and service industry development. The industry has changed from single to diversified, and the transformation from agricultural decentralization to rural community has been realized. (2) In the transformation of rural economic development, the land use type and structure of Beicun tended to be diversified, and the spatial relationship of various types of land use was complicated, emerging in new characteristics of land for mixed commercial and residential use, and mixed industrial and commercial use, gradually forming a circle-type spatial layout structure model of "public service facilities-traditional and modern residential areas-commercial areas-agricultural and industrial areas". (3)The diversification of the rural material space was mainly due to the intervention of new industries and the transformation of leading industries. Both endogenous land-transferring mechanisms and exogenous urban capital promoted the industrialization process, and market power promoted the transformation of manufacturing industry into a service industry. (4) The industrialization process promoted the functional replacement of historical buildings by village organizations; changed the social relationship of the village to the blood clan and made it more geographically oriented; and produced an occupational relationship between migrant workers and urban low-income groups. (5) The multi-differentiation of suburban rural space followed the game logic of capital and land interests. The rural community played a key mediation role in the competition for space and in the game interests among local villagers, farmers, cooperative economy, industrial operators, and service owners.

Chronic diseases are the main cause for death in the world. Among all risk factors concerning chronic diseases, those related to an unhealthy diet are most important. Although much research was done on dietary behavior, there are only few quantitative studies on the relationship between dietary taste and chronic diseases. In this article, a taste dataset of the major categories of Chinese cuisine is established based on crowdsourced data from Chinese recipe websites. For a quantitative analysis of people's taste in different regions, additionally the locations of restaurants by category (using their respective points of interest) are integrated. Using the software Geodetector, these regional taste preferences are then correlated with the three chronic diseases, hemorrhagic stroke, pancreatic cancer, and upper respiratory tract infection. For all the three diseases, the results indicate very salty, moderate sweet and very spicy food as the primary risk factors. Also, the degree of sweetness is not linear with the risk of pancreatic cancer. These results are statistically significant. In this study, a quantitative method on discovering potential health risk factors based on mining of crowdsourced data is proposed for the first time. This method can be applied before disease-related experiments to filter potential factors, and it is helpful for the public health department to make quick corresponding intervention policies.