The development of traditional resource-based cities requires drastic changes owing to the exhaustion of resources. During this transformation, the ecological environment of resource-based cities is threatened because of resource exploitation, in addition to the ecological risks caused by urban expansion. However, there is currently a lack of research on the evolution of ecological dangers in cities during this transformational period. Therefore, conducting relevant studies is essential to establishing a mechanism to mitigate these dangers. The present study analyzed Xuzhou, a typical resource-based city in China, as a case study. The main objective was to consider the dynamic changes in land use and ecological risks during the transformation of this resource-based city. The land-use changes in Xuzhou in 2000, 2010, and 2020 were analyzed, using the Markov model and landscape-pattern indices, allowing an ecological risk-assessment model of land-use changes to be constructed. Additionally, the spatial heterogeneity of ecological risks was evaluated by using spatial autocorrelation. The results showed that urban expansion influenced land use in Xuzhou significantly. Owing to the rapid urban expansion, the area of extremely high-risk regions increased significantly in 2010. Furthermore, the subsidence areas caused by mining had profound impacts on the region’s ecology, and early interventions for ecological restoration are needed to prevent further deterioration. During the transformation, Xuzhou’s overall ecological risks reduced gradually, which was conducive to its transition into an ecological city.

The newly issued “Guideline of General Planning of Wetland Parks”, China, reclassified the functional zoning of national wetland parks into three categories: conservation areas, restoration and reconstruction areas, and rational utilization areas. Therefore, the country is facing a new round of revision and compilation of the general planning of national wetland parks. The purpose of this paper was to provide information to guide wetland park functional zoning and to formulate the water pollution prevention and control strategy. In this study, 53 sampling points of 6 national wetland parks in Suzhou City were selected. Pearson’s correlation analysis, multiple stepwise regression analysis, redundancy analysis, single factor, and comprehensive water quality identification index methods were used to analyze the effects of wetland landscape types and landscape configuration on water quality. (1) Lakes and rivers in the wetland park had positive ecological effects and should be distributed in each functional zone. (2) Grassland ecology is fragile. Grasslands should be distributed in conservation areas and in restoration and reconstruction areas. (3) Woodland and cultivated land have both ecological and economic benefits. They can be used as ecological buffer and entertainment zones, which are respectively distributed in the restoration and reconstruction areas and in the reasonable utilization areas. (4) Built-up land is highly disturbed by humans. It should only occur in the rational utilization areas and far away from the conservation areas.

Based on the research on the current situation and transformation path of the spatial construction of villages and towns in northern Jiangsu, “compactness” and “convenience” are extracted as the elements of spatial evaluation. With multi-source data, comprehensively using ENVI remote sensing image interpretation, GIS spatial analysis, Fragstats landscape index calculation, entropy weight–TOPSIS comprehensive evaluation, and SPSS cluster analysis, a “digital full cycle” of a research framework for the spatial evaluation of villages and towns is built. In this paper, Suining County is taken as the research object, and the spatial construction level of its villages and towns is studied. The research results show that at the county level, the spatial compactness of villages and towns roughly presents the characteristics of an “X” pattern, decreasing from the middle to the four sides, while facility convenience generally presents the characteristics of a right “人” (Chinese character) pattern. At the town level, facility convenience basically presents the pattern characteristics of the “center-node” differentiation structure. The research aims to guide villages and towns to solve the current dilemma of spatial construction, promote the construction of digital villages and towns, and impel the digital transformation of the village and town evaluation system, data, and methods, so as to provide real-time, quantitative, and accurate data and method support for planning and decision-making in villages and towns.

[Purpose] With the acceleration of China’s urbanization process and the construction of the metropolitan area, the polarization phenomenon (Matthew effect) between cities and cities, cities and villages, and villages and villages has become increasingly prominent, and the relationship between urban and rural construction elements such as economy, society, nature, and population has become increasingly complex. However, due to the huge differences between cities and villages, it is difficult to use a unified “measuring ruler” to compare them horizontally and vertically in the space–time dimension. Therefore, it is necessary to evaluate and measure the spatial vitality of each administrative unit in the region from the perspective of urban development, that is, the sustainable development capacity of space. [Method] Taking Lixiahe Plain as the research object, based on the multi-source data such as POI, night-time light, and land use/cover, on the one hand, the spatial vitality evaluation system of the complex ecosystem is constructed, and the vitality levels and types of different township units are divided. On the other hand, the coupling degree model, coupling degree coordination degree model, spatial correlation analysis, and exploratory space–time data analysis are used to analyze the complex relationship and dynamic evolution characteristics of interaction stress among the spatial vitality of township units. [Conclusion] (1) The spatial vitality status is generally good, but there are great differences among regions, and the trend of fluctuant declines from west to east, and the spatial vitality type is a mainly vigorous type and development type. (2) There is a strong spatial dependence among the subsystems of the township units in the region. The spatial structure of the township units in the central area is more dynamic, while the spatial structure of the surrounding towns is more stable. (3) The 136 township units are divided into 4 different types of villages and towns, namely, coordinated evolution type, maladjustment evolution type, overall invariant type, and stable invariant type, which is conducive to putting forward their own development strategies.

The purpose of this study is to provide a clearer idea for the optimization of wetland functional areas and a new method for the identification and analysis of wetland functional areas under the background of the latest Wetland Protection Law in China. This study selected Pan’an Lake Wetland, the first national wetland park built in coal mining subsidence land in China, as the research object. By constructing a “Water-water-landscape-function” (WLF) model, combined with landscape pattern index and Nemerov pollution index method (NPI), the differences in water quality and landscape structure of different functional areas were analyzed. Then, Pearson’s Correlation Analysis and Redundancy Analysis are combined to quantitatively analyze the correlation between water quality environment and landscape structure. Finally, Inverse Distance Weighting (IDW) was introduced to help study the spatial difference in water quality in different functional areas. This study lasted for one year. Twelve water quality sampling points were set up, and 216 effective samples were collected monthly for one year. The results showed that: (1) the ratio of built-up land and cultivated land area had a high impact on water quality indicators in each water period, especially the increase in cultivated land patch density would increase the risk of TN and TP losing to surrounding water bodies; (2) the lakes and rivers in the wetland park have good ecological effects and should be widely used in various functional areas; (3) the degree of landscape fragmentation was negatively correlated with the overall water quality, while the degree of landscape agglomeration and landscape diversity were positively correlated with the overall water quality; (4) ecological corridors should be established between WCA and WRA, artificial corridors should be established between MEA and LEA, and ecological interception should be set between MEA and WRA; and (5) the “Water-quality-landscape-function” (WLF) model is an effective tool for the analysis and optimization of wetland functional areas, which provides a reference for the new round of wetland planning in China.

Large-scale 3D point cloud modeling plays a key role in building recognition and the construction of digital cities. However, existing methods generally suffer from low computational efficiency, insufficient clustering accuracy, and unstable modeling results. Therefore, this study proposes a 3D building modeling approach using Density-Based Spatial Clustering of Application with Noise. The method introduces geodesic distance and neighborhood search strategies, combined with a hierarchical coordination grid partitioning mechanism that considers boundary curvature features, to improve modeling accuracy and processing efficiency. Experimental results show that the model achieves an area under the curve, harmonic mean of precision and recall, standard mutual information, Jaccard index, and adjusted Rand index of 0.984, 0.957, 0.973, 0.9754, and 0.978, respectively, all significantly higher than those of the comparison models. At the same time, the model’s point cloud restoration accuracy, as measured by the root mean square error and mean absolute percentage error, is 4.9% and 6.1%, both of which are significantly lower than those of the three comparison models. These results indicate that the proposed 3D modeling model demonstrates strong advantages in clustering performance, spatial structure restoration ability, and operational efficiency. It shows great scalability and practical value, providing solid technical support for urban digital construction and spatial information reconstruction.