The simulation of surface flow dynamics using a flow-path network model

This paper proposes a flow-path network (FPN) model to simulate complex surface flow based on a drainage-constrained triangulated irregular network (TIN). The TIN was constructed using critical points and drainage lines extracted from a digital terrain surface. Runoff generated on the surface was simplified as ‘water volumes’ at constrained random points that were then used as the starting points of flow paths (i.e. flow source points). The flow-path for each ‘water volume’ was constructed by tracing the direction of flow from the flow source point over the TIN surface to the stream system and then to the outlet of the watershed. The FPN was represented by a set of topologically defined one-dimensional line segments and nodes. Hydrologic variables, such as flow velocity and volume, were computed and integrated into the FPN to support dynamic surface flow simulation. A hypothetical rainfall event simulation on a hilly landscape showed that the FPN model was able to simulate the dynamics of surface flow over time. A real-world catchment test demonstrated that flow rates predicted by the FPN model agreed well with field observations. Overall, the FPN model proposed in this study provides a vector-based modeling framework for simulating surface flow dynamics. Further studies are required to enhance the simulations of individual hydrologic processes such as flow generation and overland and channel flows, which were much simplified in this study.     

澳大利亚煤层气开发工艺技术

参考当前国内外在煤层气开发方面的相关研究成果,对澳大利亚现今主要的煤层气开发工艺技术,包括钻采工艺技术和煤层气开采技术进行了重点重点调研,以期能够给予我国煤层气产业发展起到启示作用。研究表明:澳大利亚目前最主要的钻井类型是中等半径钻井,普遍运用欠平衡钻井工艺,其煤层气开采技术因地制宜,采用有针对性的工艺方法。对于与我国煤层气地质条件相似的区域,其煤层气开发技术值得我们借鉴。     

地球物理数据网格化参数的确定及模型的选择

根据地质目标体不同,探测深度不同,物探测网所采用的比例尺不同,相同比例尺测量,由于异常细节差异,点线距不同,使得不同比例尺测网采集同一物探数据,由于网格化差异,异常形态不同。为了尽可能准确体现地下地质体的异常范围、异常形态,正确的选择网格化方法,使后期异常解释更准确,该文介绍了如何正确选择地球物理数据网格化参数的方法。     

Effects of Reclamation on Soil Carbon and Nitrogen in Coastal Wetlands of Liaohe River Delta,China

To evaluate the influence of wetland reclamation on vertical distribution of carbon and nitrogen in coastal wetland soils, we measured the soil organic carbon(SOC), soil total nitrogen(STN) and selected soil properties at five sampling plots(reed marsh, paddy field, corn field, forest land and oil-polluted wetland) in the Liaohe River estuary in September 2013. The results showed that reclamation significantly changed the contents of SOC and STN in the Liaohe River estuary(P 0.001). The SOC concentrations were in the order: oil-polluted wetland corn field paddy field forest land reed marsh, with mean values of 52.17, 13.14, 11.46, 6.44 and 6.16 g/kg, respectively. STN followed a similar order as SOC, with mean values of 1351.14, 741.04, 632.32, 496.17 and 390.90 mg/kg, respectively. Interaction of reclamation types and soil depth had significant effects on SOC and STN, while soil depth had significant effects on SOC, but not on STN. The contents of SOC and STN were negatively correlated with pH and redox potential(Eh) in reed marsh and corn field, while the SOC and STN in paddy field had positive correlations with electrical conductivity(EC). Dissolved organic carbon(DOC), ammonium nitrogen(NH_4~+-N) and nitrate nitrogen(NO_3~–-N) were also significantly changed by human activities. NH_4~+-N and NO_3~–-N increased to different degrees, and forest land had the highest NO_3~–-N concentration and lowest DOC concentration, which could have been caused by differences in soil aeration and fertilization. Overall, the results indicate that reed harvest increased soil carbon and nitrogen release in the Liaohe River Estuary, while oil pollution significantly increased the SOC and STN; however, these cannot be used as indicators of soil fertility and quality because of the serious oil pollution.     

采用软钢阻尼器连接的L形装配式剪力墙抗震性能试验研究

基于"强水平缝弱竖向缝"的设计理念,对采用软钢阻尼器直接连接腹板墙和翼缘墙的L形装配式剪力墙试件进行低周反复荷载试验。试验结果表明试件的整体工作性能良好,其位移延性系数均大于2.6,具有良好的变形性能;阻尼器平面内工作性能良好,能够实现屈服耗能。设计中应考虑阻尼器的屈服力对单片墙肢轴压比的影响,以满足规范对试件轴压比的要求,同时避免试件在两个加载方向的承载力产生较大差异。     

Understanding tourists' travel behavior before,during, and after the trip with data from social media platforms

Analyzing tourists' travel behavior at different stages of a trip can help to better understand their travel demands, providing valuable suggestions for destination management. In this article, we propose a research framework that can help in comprehensively analyzing tourists' travel behavior from the perspective of the three main stages: before, during, and after the trip. A case study was conducted based on user-generated content data from the Old Town of Lijiang to verify the feasibility of the proposed research framework. The results show that: (1) before the trip, tourists inquire about destinations and optimal stay; (2) during the trip, tourists are attracted to natural sceneries; (3) after the trip, tourists discuss experience and services. Travel behavior in stages provide detailed (inter-, intra-, and individual attractions) guidance (from tourists) for destinations. The proposed framework provides a novel perspective for exploring the spatiotemporal behavioral features of tourists at different stages of their trips.