Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024092906
Microplastic pollution in rivers and lakes has become a research hotspot, yet studies in Anhui Province have predominantly focused on northern and central regions, leaving southern Anhui under-investigated. This study addresses that gap by examining the Xin'an River in Huangshan City, a typical river in southern Anhui. Surface water and sediment samples were collected in December 2023. In surface water, microplastic concentrations ranged from 350 to 3700 n·m−3, with particles of 0–0.5 mm dominating (33.93%). Fibrous shapes were most prevalent (59.83%), and colored particles accounted for 50.27%. In sediments, concentrations ranged from 25 to 200 n·kg−1, with 0–0.5 mm particles again dominant (49.63%). Fibers comprised 47.08% of sediment microplastics, and white particles accounted for 34.74%. Polymer analysis identified polyethylene terephthalate (PET) as the most abundant material (36.61%), followed by polyamide (PA) (23.22%). Source analysis suggests that fibrous microplastics originate primarily from fiber-based products such as clothing, home textiles, and fishing nets. These findings provide essential baseline data for water resource management, pollution assessment, and ecological remediation of the Xin'an River.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606004
To identify optimal watershed remediation pathways under environmental and economic dimensions, an integrated environmental-economic impact assessment framework combining life cycle assessment (LCA) and life cycle costing (LCC) based on openLCA was established, using 1 m³ of treated wastewater as the functional unit. This framework comprehensively evaluated the environmental impacts and economic costs of three ecological buffer measures—constructed wetlands, ecological intercepting ditches, and vegetation restoration projects—in non-point source pollution control. The results indicated that constructed wetlands offer the optimal environmental-economic profile, featuring the lowest comprehensive cost (¥1.01 yuan/m³) and the lowest load across most environmental impact categories, with only slightly higher land resource consumption intensity. Ecological intercepting ditches exhibited higher impacts in areas such as metal resource consumption due to the use of rebars and base fertilizer inputs, resulting in a moderate comprehensive cost (¥1.57 yuan/m³). Vegetation restoration projects incurred the highest comprehensive cost (¥61.14 yuan/m³) and produced the most significant environmental impacts, with elevated indicators such as human carcinogenic toxicity. This primarily stemmed from the extensive use of concrete grass pavers and base fertilizer in rural river sections. These findings provide quantitative references for environmental-economic integrated evaluation and decision-making regarding ecological buffer zone engineering schemes in similar watersheds.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3964-5
The escalating demand for personalized thermal-moisture comfort, coupled with the high energy consumption of conventional heating and cooling systems and the imperative for low-carbon energy conservation, has driven the development of shape memory smart fabrics that respond to environmental changes. However, existing shape memory thermal-moisture management fabrics suffer from excessively high response temperatures, inadequate response performance, and suboptimal thermal-moisture management. In this work, a dual-network shape memory polymer (SMP) was synthesized, and its shape memory transition temperature was tuned to align with the human thermal comfort range. The polymer was processed into fibers and subsequently into twisted-coiled artificial muscles to enhance reversible strain. Woven with wool into a plain fabric, the resulting textile exhibits adaptive thermal-moisture management, achieving a warp reversible strain of up to 17.5%. At elevated temperatures, the fabric contracts, exhibiting an air permeability of 1546 mm/s and thermal conductivity of 0.0518 W/(m·K); at lower temperatures, it elongates, with air permeability of 1322 mm/s and thermal conductivity of 0.0426 W/(m·K), thereby realizing 'warm when cool and cool when hot' functionality. Compared with commercial wool fabrics, this smart fabric lowers the skin microenvironment temperature by 1.5 °C and offers an energy savings potential of approximately 222.58 MJ/m² per year in capital cities such as Beijing. This work provides a novel technical pathway and design approach for future personalized comfort and low-carbon, energy-saving textiles.