BDS卫星差分码偏差稳定性分析及其短期预报

利用MGEX(multi-GNSS experiment)发布的BDS卫星差分码偏差(differential code bias, DCB)产品，比较分析不同太阳活动水平下BDS卫星DCB产品的稳定性变化特性，并采用差分自回归移动平均(auto-regressive integrated moving average, ARIMA)时间序列预测模型，实现不同太阳活动水平下BDS卫星DCB的短期预报。结果表明，在太阳活动高年，BDS卫星DCB日解值稳定度、月稳定性均明显低于太阳活动低年，且不同卫星星座类型的BDS卫星DCB稳定性也存在差异；ARIMA时间序列预报结果与MGEX发布值符合程度较好，优于多项式拟合法预测结果。     

Crack nucleation in saturated porous media

Crack nucleation has been the subject of important contributions in the last two last decades. However, it seems that few attention has been granted to the case of saturated porous media. This is the question addressed in the present paper which is devoted to nucleation in traction mode. From a physical point of view, nucleation is a sudden phenomenon, so that the material response is both adiabatic and undrained. In the spirit of the variational approach, the nucleated crack is viewed as the final state of a region of space in which the material undergoes a full damage process. In traction mode, the opening of a saturated crack in undrained condition induces a drop of fluid pressure. In case of low fluid compressibility, the presence of the fluid delays the brittle failure usually associated with nucleation, as long as the fluid pressure remains above the saturation vapor pressure. Nucleation is therefore possible only if a partial vaporization of the fluid takes place.     

How deep can forest vegetation cover extend their hydrological reinforcing contribution?

An experimental campaign was set up to quantify the contribution of evapotranspiration fluxes on hillslope hydrology and stability for different forest vegetation cover types. Three adjacent hillslopes, respectively, covered by hardwood, softwood, and grass were instrumented with nine access tubes each to monitor soil water dynamics at the three depths of 30, 60, and 100 cm, using a PR2/6 profile probe (Delta‐T Devices Ltd) for about 6 months including wet periods. Soil was drier under softwood and wetter under grass at all the three depths during most of the monitoring period. Matric suction derived via the soil moisture measurements was more responsive to changes in the atmospheric conditions and also recovered faster at the 30 cm depth. Results showed no significant differences between mean matric suction under hardwood (101.6 kPa) with that under either softwood or grass cover. However, a significant difference was found between mean matric suction under softwood (137.5 kPa) and grass (84.3 kPa). Results revealed that, during the wettest period, the hydrological effects from all three vegetation covers were substantial at the 30 cm depth, whereas the contribution from grass cover at 60 cm (2.0 kPa) and 100 cm (1.1 kPa) depths and from hardwood trees at 100 cm depth (1.2 kPa) was negligible. It is surmised that potential instability would have occurred at these larger depths along hillslopes where shallow hillslope failures are most likely to occur in the region. The hydrological effects from softwood trees, 8.1 and 3.9 kPa, were significant as the corresponding factor of safety values showed stable conditions at both depths of 60 and 100 cm, respectively. Therefore, the considerable hydrological reinforcing effects from softwood trees to the 100 cm depth suggest that a hillslope stability analysis would show that hillslopes with softwood trees will be stable even during the wet season.     

Stability analysis of shotcrete supported crown of NATM tunnels with discontinuity layout optimization

For tunnel constructed by New Austrian Tunnelling Method, the crown is the upper part of tunnel section, constructed during excavation process and supported by shotcrete. The stability of the crown has great influence on the safety of tunnel itself and the buildings above, which correlates, among others, with geometrical setup of tunnel and material properties of shotcrete and soil/rock. In this paper, aiming at analyzing the stability of shotcrete supported crown, a recently presented numerical method discontinuity layout optimization is adopted, which introduces a great amount of potential discontinuities cross over one another and provides a wide search space for efficient upper limit analysis. In the analysis, a well‐established hydration model of cementitious material is implemented for accounting the hydration of shotcrete. Then assumptions based on convergence‐confinement method are used for accounting the 3‐dimensional effect in 2‐dimensional analysis, finally providing time‐space–dependent assessments of stability of shotcrete supported crown.     

SESTET: A spatially explicit stream temperature model based on equilibrium temperature

Stream-water temperature is a key variable controlling chemical, biological, and ecological processes in freshwater environments. Most models focus on a single river cross-section; however, temperature gradients along stretches and tributaries of a river network are crucial to assess ecohydrological features such as aquatic species suitability, growth and feeding rates, or disease transmission. We propose SESTET, a deterministic, spatially explicit stream temperature model for a whole river network, based on water and energy budgets at a reach scale and requiring only commonly available spatially distributed datasets, such as morphology and air temperature, as input. Heat exchange processes at the air–water interface are modelled via the widely used equilibrium temperature concept, whereas the effects of network structure are accounted for through advective heat fluxes. A case study was conducted on the prealpine Wigger river (Switzerland), where water temperatures have been measured in the period 2014–2018 at 11 spatially distributed locations. The results show the advantages of accounting for water and energy budgets at the reach scale for the entire river network, compared with simpler, lumped formulations. Because our approach fundamentally relies on spatially distributed air temperature fields, adequate spatial interpolation techniques that account for the effects of both elevation and thermal inversion in air temperature are key to a successful application of the model. SESTET allows the assessment of the magnitude of the various components of the heat budget at the reach scale and the derivation of reliable estimates of spatial gradients of mean daily stream temperatures for the whole catchment based on a limited number of conveniently located (viz., spanning the largest possible elevation range) measuring stations. Moreover, accounting for mixing processes and advective fluxes through the river network allows one to trust regionalized values of the parameters controlling the relationship between equilibrium and air temperature, a key feature to generalize the model to data-scarce catchments.     

基于滨海环境资源特点的大连旅游承载状态评价

旅游环境承载力涉及多维度属性相互制约影响,而传统方法中对于各属性间影响程度及游客偏好选择的判定则较多依赖于个体的主观感知。因此,针对处理多属性综合评价中存在的模糊性及主观性,提出基于蒙特卡罗模拟修正的模糊综合评价模型。结果表明,借助上述模糊综合评价修正模型针对大连滨海旅游环境承载力进行解释与分析,成功缓解了在模型度量与数据分析环节所出现的主观偏误缺陷,从而有效提升了大连市滨海旅游景区有关阈值综合评价体系的科学性与稳健性。评价结果表明,当前大连市滨海旅游环境承载力状态可以判定为“适载”;在影响滨海旅游环境承载力的6项要素中,游憩环境要素与气候要素的评价分数较高,最低评分数值指标为景区游客管理状态。     

长江经济带城市高铁枢纽接驳—集疏运绩效空间分异及机理

作为长江经济带综合立体交通走廊建设的关键环节,交通枢纽是推动长江经济带发展的基础保障。高铁枢纽承载着“时空压缩最后一公里”效应,是构筑高效便捷的现代化综合交通体系的关键。首先诠释了高铁枢纽“时空压缩最后一公里”效应原理,其次构建高铁枢纽接驳—集疏运绩效指标体系,进而对长江经济带37个城市高铁枢纽的接驳—集疏运绩效进行测度,并分析绩效空间分异特征,最后揭示高铁枢纽接驳—集疏运绩效的影响机理。结果显示：① 长江经济带高铁枢纽接驳—集疏运绩效等级分异呈“橄榄型”结构,即优质绩效和一般绩效的高铁站数量较少,良好绩效和中等绩效的高铁站数量较多;② 地带分异呈“东高西低、北高南低”格局,而城市群分异则呈“核心高、边缘低”格局,且9个评价指标值空间差异明显;③ GDP、城镇化率、城市等级、车站客流量和发送班车次数是影响高铁枢纽接驳—集疏运绩效的关键驱动因子;同时,优质、良好、中等和一般等不同等级绩效的关键驱动因子存在显著差异。     

城市和城市群可持续发展指数研究进展

21世纪是城市的世纪,城市的高质量发展对区域和全球可持续发展至关重要。中国城市化发展迅速,城市化率从1978年的17.9%增加到2019年的60.6%,2030年将达到70%,大部分人口居住在城市。城市是中国经济发展的引擎,以全国近7%的土地面积生产了70%的国内生产总值(GDP),而城市群更是集聚了全国大部分城镇人口和GDP。因此,城市和城市群的健康与可持续性将决定中国未来发展的质量与进程。识别城市和城市群发展的程度、存在的问题以及国内外差距,亟需进行城市可持续发展的评价。本研究系统综述了城市可持续发展评价的思想与指标体系的发展历程,重点基于联合国可持续发展目标(SDG)框架考察了开展城市可持续发展评价的方法,提出了构建城市和城市群可持续发展指数的途径,并从平台构建、大数据基础、跟踪发布等方面提出了推进城市可持续发展指数评价建立城市发展“仪表盘”的思路。基于联合国SDG框架的城市和城市群可持续发展指数可为目标城市对标其他城市、开展不同区域城市的对比、找准发展目标与识别存在问题等方面提供重要支撑。     

基于探空数据的对流层延迟模型精度评估

采用IGRA提供的2017年81个无线电探空站的探空资料,对4种对流层延迟模型在中国区域的精度进行综合评估与分析。结果表明,GPT2w模型的性能要优于依赖气象参数的Saastamoinen模型及基于球谐函数的GZTD和UNB3m模型;GPT2w模型的偏差均值MB(mean bias)和均方根误差RMSE分别为-0.8 cm和4.1 cm,各测站的MB和RMSE分别处于-2~2 cm和1.3~7.9 cm之间。UNB3m模型在中国区域存在较大的MB和RMSE,模型的RMSE最大可达10.2 cm。4种模型的精度对测站纬度具有一致的敏感性,表现为随测站纬度的升高而降低;模型精度呈明显季节性变化,且不同模型对季节的敏感程度有所差异;对流层湿延迟难以精确建模导致模型精度在夏季(RMSE为6~9 cm)低于冬季(RMSE为2~2.5 cm)。     

纳入动态数据的改进FLUS模型在城市增长边界划定中的应用

城市增长边界是管控城市建设用地无序扩张的有效手段,科学合理划定城市增长边界是当前研究关注的重要课题。本研究试图引入百度动态交通时间和POI数据改进FLUS模型,以长沙市中心城区为例,采用2000、2010和2018年3期土地利用数据对比验证改进FLUS模型模拟精度,并利用改进FLUS模型设置2种情景,模拟2030年长沙市中心城区土地利用变化,结合用地适宜性评价划定城市增长边界。结果显示：① 纳入动态数据的改进FLUS模型模拟2010年和2018年土地利用相比原模型KAPPA系数提高了2.90%和2.74%,总体精度提高了1.79%和1.83%,表明改进模型具有更高模拟精度;② 利用改进FLUS模型模拟的2030年长沙市中心城区土地利用变化,基准情景和生态保护情景建设用地规模分别为930.06 km²和881.36 km²,均以耕地转为建设用地比例最大;③ 长沙市中心城区刚性增长边界范围为1479.59 km²,占中心城区总面积的37.38%,边界内包含了芙蓉区、天心区、雨花区、岳麓区和开福区的大部分区域;④ 基准情景和生态保护情景下,长沙市中心城区弹性增长边界面积分别为799.35 km²和742.92 km²,建设用地扩张空间主要为长沙县和望城区,结果与2010版长沙市城市总体规划拓展方向一致。纳入动态数据的改进FLUS模型多情景模拟划定城市增长边界,能更高精度的为规划决策提供科学依据。