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【Objective】 The inverted siphon tunnel in big long-distance open channel spanning across a river is a critical hydraulic infrastructure. Investigating the mechanisms and strategies for addressing the unsteady flow during transition from the pressurized tunnel to the non-pressurized diffusion section of the open channel is essential to safeguarding water delivery and optimizing flow capacity. 【Method】 Using the principles of flow similarity and boundary layer control theory, this study focuses on the transition section at a large water transfer siphon outlet. Through hydraulic model testing, it examines the boundary layer separation, derived backflow interference, mainstream instability, and flow fluctuations in the diffusion section. We also investigate three additional turbulent effects resulting from unfavorable flow patterns. 【Result】 ① The boundary layer separation in the diffusion section leads to the entrainment of a significant number of vortices by the main flow, resulting in an increased energy consumption and the superposition of derived waves. These phenomena disrupt the smooth flow in the diffusion section. ②Introducing diversion piers in the diffusion section effectively suppresses boundary layer separation, eliminates vortex shedding, and mitigates side backflow in the confluence area. This leads to a substantial improvement in wave dissipation, reducing wave intensity at the end of the diffusion section from 1.11 to 0.2 m. Furthermore, it straightens the flow path within the diffusion section. 【Conclusion】 Installing diversion piers in the diffusion section is highly effective in eliminating vorticity and reducing wave interference. Specifically, B-type diversion piers prove to be superior in optimizing flow patterns and reducing energy consumption while ensuring a well-balanced flow velocity distribution. These research findings hold significant practical value for design and renovation of large-scale water transfer projects.

Radar beam blockage is an important error source that affects the quality of weather radar data. The S-band dual-polarization radar in Guangzhou has multi-azimuth occlusion at low elevation and is partially occluded at high elevation. Based on deep learning methods such as convolutional neural network, two echo filling networks, i.e., VEF(vertical echo-filling) and HEF(horizontal echo-filling) are constructed. Based on this architecture, echoes from the unblocked area are used to construct training datasets and fill the reflectivity ZH and differential reflectivity ZDR in the occlusion area. For the area with only 0.5° elevation occlusion, multi-modal modeling is carried out based on VEF architecture by using 3D data from multiple upper elevations, radial directions and gates. Considering that the radar beam broadens with distance and to avoid the influence of the melting layer, the radar beam is divided into four sections according to the oblique distance of 0.5° elevation, and the vertical echo-filling model is trained respectively. For the area with high occlusion elevation, multi-mode modeling is carried out based on HEF architecture using the data of multiple adjacent radial directions and gates with the same elevation. According to the number of occlusion radial, two types of horizontal echo-filling models, three radials echo-filling model and five radials echo-filling model are constructed respectively. Finally, the models are evaluated by three cases and three indicators:Explained variance, mean absolute error and correlation coefficient. The maximum explained variance of ZH vertical echo-filling model is 0.91, the minimum mean absolute error is 1.72 dB, and the maximum correlation coefficient is 0.96. The maximum explained variance of ZDR vertical echo-filling model is 0.87, the minimum mean absolute error is 0.12 dB, and the maximum correlation coefficient is 0.92. The maximum explained variance of ZH horizontal fill model is 0.92, the minimum mean absolute error is 1.69 dB, and the maximum correlation coefficient is 0.96. The maximum explained variance of ZDR horizontal echo-filling model is 0.92, the minimum mean absolute error is 0.12 dB, and the maximum correlation coefficient is 0.96. The deep learning echo-filling model can be used to correct the echoes of Guangzhou S-band dual-polarization radar occlusion area effectively, and the quality of weather radar data is improved.

【Background】 Floodplain is the ecological cradle of alluvial rive to provide a buffer to flooding. Rivers naturally function to transport runoff and sediment, making the river have the double section characteristics of river trough and beach to meet the needs of water and sediment transportation in different periods. There are also villages in the floodplain of many rivers. There will inevitably be some contradictions between the needs of human activities (such as agricultural irrigation, transportation and social development) and river functions (ecology, flood and sediment transportation). If there is no scientific coordination between the two aspects, it will lead to mutual restriction affecting the ecological health of the river as well as the Sustainable high-quality development of the beach area society. It has become an important challenge for river managers to plan traffic routes in wide floodplain areas with less environmental impact. In order to implement the protection of river health in river project construction, the characteristics of alluvial river flood must be understood under the influence of human activity. 【Objective】 Taking advantage of the vast river floodplain to conduct the appropriate development and construction, it would be helpful to promote the high-quality development of the river basin. Learning more about the flood characteristics of alluvial rivers under the influence of human activities, and proposing a solution scheme to realize the coordination of floodplain engineering construction and river safety flood discharge, would contribute to practicing the protection of river health in constructing the river engineering. 【Method】 Taking a proposed eco-tourism greenway in the wide floodplain area of an alluvial river as an example, using the comprehensive research method involving historical evolution analysis, riverbed scouring-depositing prediction and hydrodynamic numerical simulation, the flood characteristics of the engineering reach, the law of river course evolution, the riverbed adjustment factors at the lower reaches of the reservoir were analyzed. The treatment model for predicting the riverbed boundary and the equivalent resistance of the river engineering were studied. By means of two-dimensional flood numerical simulation, the flood characteristics of the river section involved in the greenway and the influence of the route on the flow field during the flood discharge period were also analyzed. 【Result】 Firstly, the simulation shows the free swing of the mainstream is restricted by the regulation projects, and the river regime in flood period remains unchanged. Secondly, the proposed greenway is far away from the main channel and the routing is in parallel with the channel, which make the water blocking ratio of the flow area in the beach area less than 2.6%, and the local backwater caused by road construction limited to 0.058 m. 【Conclusion】 The arrangement of the proposed greenway is suggested to be routed along the river and located in high beach. Through scientific planning of routes and project layout, the impact of the project on the propagation of river floods can be minimized, and the coordinated relationship between the river flood discharge safety and the beach area development can be satisfied.

Antimicrobial peptides (AMPs) are small molecular peptides widely existing in the innate immunity of organisms, serving as the first line of defense. Natural AMPs possess various biological activities and are difficult to develop drug resistance. However, they are easily broken down by digestive enzymes in the body. In recent years, increasing methods have been reported to enhance the stability of AMPs, including incorporation of unnatural amino acids, chemical modifications, strategic avoidance of enzyme cleavage sites, cyclization, and nano peptide design. This review summarizes the methods for improving the stability of AMPs against protease degradation, aiming to provide references for further research in this field.