Yiwen Fu

Accurately quantifying ecological compensation amounts is essential for alleviating the conflict between ecological conservation and economic development in the Huaihe River Basin. Using three phases of Landsat remote-sensing imagery for the Anhui and Henan sections of the basin over the period 2010-2020, ecosystem service value (ESV) is estimated using the equivalent factor method. In parallel, health loss values are quantified by integrating the potential years of life lost method, the revised human capital approach, and the morbidity and disability method, and both health losses and pollution control costs are incorporated into the accounting framework for ecological compensation. Building on the established framework, this study employs spatial autocorrelation models and the Grey Model (GM(1,1)) to investigate the historical evolutionary patterns and future developmental trends of ecological compensation. The results indicate that: (1) between 2010 and 2024, the average annual health-related damage across the basin reached 5.66 billion Yuan, with high-value clusters such as Zhengzhou and Hefei experiencing a continuous escalation in losses, while Xinyang alone recorded a significant 61.17% reduction in health damages; meanwhile, the average discrepancy between theoretical and actual environmental remediation investment was approximately 49 million Yuan, with this gap narrowing significantly after 2016. (2) Throughout the research period, Zhengzhou, Xuchang, and Luohe remained entrenched within the ecological deficit zone with their deficit scales continually expanding, whereas Kaifeng (in 2015) and Shangqiu (in 2022) sequentially surpassed the equilibrium threshold, transitioning from “ecological recipients” to “compensation payers”. (3) Ecological compensation metrics exhibit pronounced spatial clustering characteristics: in 2010, High-High (H-H) clusters were concentrated in Lu’an and Hefei, while Low-Low (L-L) clusters were limited to Zhengzhou and Xuchang; by 2016, Xinyang transitioned into an H-H cluster, while Zhoukou and Shangqiu shifted into L-L clusters; between 2016 and 2022, L-L clusters expanded into Northern Anhui Section, ultimately forming a distinct “high-in-the-south, low-in-the-north” configuration by 2024. (4) Prognostic simulations for the 2024-2034 period suggest that the basin will maintain a “stable south, declining north” trajectory, where municipalities in the Anhui section remain in the high-value recipient zone while the total compensation for the Henan section is projected to contract by 46.6%, leading to a further widening of the ecological profit-and-loss gap between the northern and southern regions of the study area.

Membrane technology demonstrates broad prospects in the field of methane capture and purification due to its high efficiency and low energy consumption characteristics. This paper systematically reviews the research progress in membrane technology for methane separation in recent years, focusing on the design and optimization of membrane material systems, in-depth analysis of mass transfer mechanisms, and practical applications in areas such as biogas upgrading and natural gas decarbonization. Researchers have significantly enhanced membrane separation performance for CO₂/CH₄, CH₄/N₂, and other systems by developing novel material systems such as polymer membranes, inorganic membranes, and mixed matrix membranes (MMMs), combined with strategies like pore structure regulation, interface optimization, and functionalization. Although membrane technology has shown good economic feasibility and application potential in some scenarios, challenges such as long-term material stability, anti-plasticization capability, and large-scale manufacturing remain the main current obstacles. Future research should further focus on the development of novel membrane materials, process integration optimization, and intelligent process control to promote a greater role for membrane technology in the efficient utilization of methane resources and energy structure transformation.

Studying the ecosystem service value is of great value for solving the contradiction between ecological protection and economic development in the Huaihe River Basin. The characteristics of land use change were studied by using the Landsat remote sensing image data of Anhui section and Henan section of Huaihe River Basin from 2010 to 2020. The equivalent factor method was used to estimate the ecosystem service value, and the spatial autocorrelation model was used to analyze the spatial distribution characteristics of ecosystem service value The GM-BP model was used to predict the land use change in 2025. The results showed that: (1) From 2010 to 2020, cultivated land and construction land dominated the land use in the study area, and the degree of land use change changed from severe to stable. (2) The value of ecosystem services is in the transition stage from low level (II) to medium level (III). (3) ecosystem service value has a significant positive spatial correlation, and the spatial distribution is generally high in the southeast and low in the northwest. (4) Compared with 2020, ecosystem service value will rise by 0.54 % in 2025.