To solve the decline of rural development, an effective development mode is indispensable. Rural tourism is a key approach in poverty alleviation and rural revitalization in China. The comparative analysis of the 50 most beautiful villages as awarded by the Ministry of Agriculture of China shows that the rural tourism development mode with the integration of production, village and scenery realizes the sustainable development of rural areas. To examine this further, this study takes Qinggangshu Village as a case study and constructs a systematic rural tourism-based sustainable development model called Aims, Measures, Demands (AMD). The results show that Qinggangshu Village has changed from a single farming village to a mature tourism village due to the Beautiful Village Project’s support. In this process, the production, village and scenery have made great change by promoting rural tourism development. Land consolidation and land asset activation is at the core of rural transformation and development, which can drive the reorganization and flow of labor and capital and can also make rebuilt villages more comfortable living spaces. Furthermore, a good landscape environment can stimulate development and competition. This study could be used as an example of attaining sustainable development for other rural areas.

A catastrophic tailings dam failure disaster occurred in Brumadinho, Brazil on 25 January 2019, which resulted in over 270 casualties, 24,000 residents evacuated, and a huge economic loss. Environmental concerns were raised for the potential pollution of water due to tailings waste entering the Paraopeba River. In this paper, a detailed analysis has been carried out to investigate the disaster conditions of the Brumadinho dam failure using satellite images with different spatial resolutions. Our in-depth analysis reveals that the hazard chain caused by this failure contained three stages, namely dam failure, mudflow, and the hyperconcentrated flow in the Paraopeba River. The variation characteristics of turbidity of the Rio Paraopeba River after the disaster have also been investigated using high-resolution remote sensing images, followed by a qualitative analysis of the impacts on the downstream reservoir of the Retiro Baixo Plant that was over 300 km away from the dam failure origin. It is believed that, on the one hand, the lack of dam stability management at the maintenance stage was the main cause of this disaster. On the other hand, the abundant antecedent precipitation caused by extreme weather events should be a critical triggering factor. Furthermore, the spatiotemporal pattern mining of global tailings dam failures revealed that the Brumadinho dam disaster belonged to a Consecutive Hot Spot area, suggesting that the regular drainage inspection, risk assessment, monitoring, and early warning of tailings dam in Consecutive Hot Spot areas still need to be strengthened for disaster mitigation.

Debris flow is one of the most common natural hazards in the semiarid mountainous areas of the Southeast (SE) Tibetan Plateau. Because of unique geology, geomorphology, and diverse climate conditions, debris-flow susceptibility in the mountainous areas shows significant regionalism. In this study, an index entropy model is adapted for sensitivity analysis of the impact factors of debris flows in the semiarid areas, and the Benzilan-Changbo segment of the upper reaches of the Jinsha River are selected as an area of interest in a case study. Based on the sensitivity analysis, six factors, including, lithology, slope gradient, slope aspect, relative relief, catchment system geomorphologic entropy, monthly average precipitation (June–September), and normalized difference vegetation index (NDVI) are considered debris-flow susceptibility assessment factors. The results show that landform, lithology, and vegetation are the three most important factors affecting the susceptibility of the debris flow in se...

The study of land use/land cover (LULC) changes plays an important guiding role in regional ecological protection and sustainable development policy formulation. Especially, the simulation study of the future scenarios may provide a hypothetical prospect which could help to determine the rationality of current and future development policies. In order to support the ecological protection and high-quality development strategy of the Yellow River Basin proposed by the Chinese government, the Great Yellow River Region (GYRR) is taken as the research area. The multi-period land cover data are used to carry out the analysis of land cover changes. The MOLUSCE (Modules for Land Use Change Simulations) plugin of QGIS software is used to carry out a land cover simulation and prediction study for 2030 on a large regional scale. Finally, the land cover status in the mountainous areas of the GYRR is analyzed thoroughly. The results show a decrease in agricultural land and increase in forest land during the past 25 years from 1995 to 2020, and that this trend would continue to 2030. The landscape pattern index analysis indicates that the land cover in the GYRR has become more and more abundant, and the degree of fragmentation has become higher and higher, while landscape patches were more evenly distributed in the GYRR until 2020. On the other hand, the landscape pattern would tend to achieve a certain degree of stability in 2030. The decrease in farmland and the increase in forest land illustrate the efforts made by the GYRR residents and governments in improving the ecological environment under the policy of returning farmland to forests and grasslands. On the other hand, although the residential areas in the mountainous areas are far away from the mountain hazard historical points because of consideration during construction with the help of the development of disaster prevention and mitigation over the years, there could be problem of rapid and haphazard urbanization. It is worth mentioning here that the harmonious and sustainable development of people and land in the GYRR mountainous areas still requires a large amount of effort.