Dynamic assessment of eco-environmental quality in Xiong'an new area, China using WB-RSEI new model.

Quantitative assessment of eco-environmental quality is crucial for real-time environmental monitoring and protection. Current models have limitations in their applicability to water bodies. This study develops the WB-RSEI new model, which is better suited for both water and land spaces, and uses it to analyze the dynamic changes in eco-environmental quality in Xiong'an New Area, China, from 2013 to 2023, and predicts the future development trends, analyzes the driving factors using a geographic detector model. The results show that: (1) The WB-RSEI for the years 2013, 2015, 2017, 2019, 2021 and 2023 were 0.4445, 0.4997, 0.5023, 0.5011, 0.4445, and 0.5231, respectively, which were relatively low, exhibiting a fluctuating trend of initial increase followed by decline and subsequent recovery, accompanied by a characteristic of polarization; (2) WB-RSEI showed a "higher in the south, lower in the north", "Stable core, fluctuating periphery" spatial pattern, and significant spatial heterogeneity and autocorrelation; (3) The environmental quality is expected to gradually improve over the next 10 years, but the polarization phenomenon will intensify; (4) The main driving forces are ranked as follows: natural factors > socio-economic factors > land types factors > climatic factors, with multi-factor interactions having stronger driving effects than single factors. These findings can help urban planners more effectively manage urban space.