Lu Liu

After the initial impoundment of Bing’an Reservoir on the Chishui River, alterations are likely to occur in the structural composition and diversity of microbial communities. To unravel the microbial community diversity, community abundance, phylum composition, and spatial distribution characteristics within the reservoir, this study collected water samples from the surface, shallow, and middle layers. High-throughput sequencing technology targeting the bacterial 16S rRNA-encoding gene was employed to analyze the composition and diversity of microbial communities at different depths. The results demonstrated that the planktonic bacterial community in the reservoir was predominantly composed of prokaryotes (bacteria and archaea), with high microbial diversity and abundance. Among these, Pseudomonas and Massilia were the relatively dominant genera. The community structure and diversity of microorganisms were closely associated with water quality conditions. Results of variation partitioning analysis revealed that the impact of physicochemical factors on microbial community structure was significantly greater than that of geographical factors. Canonical correspondence analysis indicated that total phosphorus (TP), temperature (T), chemical oxygen demand (COD), pH, chlorophyll-a (Chl-a), ammonium nitrogen (NH ₄ ⁺ -N), dissolved oxygen (DO), where the major driving forces shaping the microbial community structure. This study contributes to a better understanding of the ecosystem functions of Bing’an Reservoir, especially during the initial impoundment stage, and provides a scientific reference for the improvement and management of the water environment in the reservoir area.

This study proposed an interior thermal comfort test to enhance the interior thermal comfort of traditional houses in the Guan Zhong region of the Shaanxi Province during winter. The study was conducted in Xiaoliu village by employing field tests and a questionnaire survey. The field tests and analysis revealed that the thermal comfort of traditional houses in this region is poor, the spatial layout of the houses is unsuitable for conserving heat, the thermal properties of the enclosure walls are inadequate, and the mode of heating is inefficient. The heat transfer parameters, heat lost and gained through fabrics, and thermal properties of nanomaterials have been used to improve the thermal comfort analysis. Combined with the local economic conditions, passive design strategies such as optimizing the spatial layout, improving the thermal insulation performance of the enclosure walls, and using solar energy were implemented. The simulation results indicate that energy consumption can be significantly reduced, and the indoor thermal comfort of traditional houses can be enhanced by reasonably dividing the indoor space, increasing the thermal insulation performance of the enclosure walls, and making better use of solar energy and natural ventilation. Therefore, to improve thermal comfort and reduce the energy load of traditional houses in the Guan Zhong region, it is necessary to adopt passive optimisation strategies.