中国海岸风成沙ESR测年的研究

介绍ＥＳＲ测年的基本原理，并讨论风成沙Ｇｅ心测年的可行性、风成沙Ｅ＇心的特征、测年误差及可靠性等问题。１９９２－１９９３年在渤、黄、东、南海沿岸采集的１００余个风成沙样品ＥＳＲ测年实验表明，绝大部分海岸风成沙的年龄为１－７万年。     

深基坑复合喷锚支护技术探讨

工程实践表明,复合喷锚支护是一种有效的深基坑支护型式,它可用于土层条件差、安全性要求高、变形控制严格的基坑工程中。复合支护中锚杆为主要受力构件,竖向花管为辅助受力构件,可起到限制、减小土体变形的作用。由于竖向注浆花管的加入,花管及注浆体抗剪作用加强,使基坑的整体稳定性得以大幅度提高。探讨了复合喷锚支护整体稳定性分析方法,建议将滑动区域分为加固土和原土两部分,将锚管注浆形成的注浆体等效为一层加固土,按喷锚支护模型计算复合喷锚支护整体稳定性。     

信阳市燃气混气站断裂活动性和场地稳定性系统研究

运用多学科、多手段相结合的方法，从区域构造稳定性、构造岩研究、构造裂隙统计分析、红外相位法位移监测，高密度电阻率法、钻探验证、年代学研究、新构造运动分析、遥感图像解译、地震安全性评价、数值模拟、工程地质条件分析等方面入手，对信阳市燃气混气站的断裂活动性和场地稳定性进行了全面而系统的论证；指出场区断裂规模小，第四纪无大规模差异升降运动，无活动断裂通过，邻区地震活动小且弱，区域构造稳定性高，应力平缓，工程地质条件良好，是一个稳定的“岛区”，井指出系统而全面的综合研究方法是研究工程稳定性项目行之有效的手段。     

我国东部春季土壤湿度影响夏季降水

该项目受到国家自然科学基金项目和国家基础研究发展规划项目的资助.最新研究成果揭示中国东部春季土壤湿度与夏季降水有联系.春季,从长江中下游到华北的土壤偏湿,对应着中国夏季东北和长江流域降水偏多,华北和南方降水偏少.     

Global sea level change and thermal contribution

The global long-term sea level trend is obtained from the analysis of tide gauge data and TOPEX/Poseidon data. The linear trend of global mean sea level is highly non-umiform spatially, with an average rate of 2.2 mm year-1 in T/P sea-level rise from October 1992 to September 2002. Sea level change duc to temperature vanation (the thermosteric sea level) is discussed. The results are compared with TOPEX/Poseidon altimeter data in the same temporal span at different spatial scales. It is indicated that the ther-mal effect accounts for 86% and 73% of the observed seasonal variability in the northern and southern hemispheres, respectively. The TOPEX/Poseidon observed sea level lags behind the TSI, by 2 months in the zonal band of 40°-60° in both the northern and southern hemispheres. Systematic differences of about 1-2cm between TOPEX/Poseidon observations and thermosteric sea level data are obtained. The potential causes for these differences include water exchange among the atmosphere, land, and oceans, and some pos-sible deviations in thermosteric contribution estimates and geophysical corrections to the TOPEX/Poseidon data.     

海洋上层暖水在热带气旋迅速增强中的作用:基于台风威马逊(1409)的个例研究

在登陆海南岛之前,台风威马逊在南海北部从热带风暴级别迅速增强成为超强台风。观测数据的分析结果显示,海洋上层的异常暖水在威马逊的迅速增强过程中扮演了重要的角色。威马逊期间,南海北部的海表面温度相比于气候态海表面温度暖很多。这部分异常暖水为威马逊提供了更多的能量,从而导致了威马逊的迅速增强。数值模拟结果进一步证明,南海北部的暖水在台风威马逊的迅速增强过程中起重要作用。如果没有这团异常暖水的影响,威马逊只增强25 hPa,仅为有暖水影响条件下增强程度的58.1%。     

Driving forces and their interactions of built-up land expansion based on the geographical detector – a case study of Beijing,China

Scientific interpretation of the driving forces of built-up land expansion is essential to urban planning and policy-making. In general, built-up land expansion results from the interactions of different factors, and thus, understanding the combined impacts of built-up land expansion is beneficial. However, previous studies have primarily been concerned with the separate effect of each driver, rather than the interactions between the drivers. Using the built-up land expansion in Beijing from 2000 to 2010 as a study case, this research aims to fill this gap. A spatial statistical method, named the geographical detector, was used to investigate the effects of physical and socioeconomic factors. The effects of policy factors were also explored using physical and socioeconomic factors as proxies. The results showed that the modifiable areal unit problem existed in the geographical detector, and 4000 m might be the optimal scale for the classification performed in this study. At this scale, the interactions between most factors enhanced each other, which indicated that the interactions had greater effects on the built-up land expansion than any single factor. In addition, two pairs of nonlinear enhancement, the greatest enhancement type, were found between the distance to rivers and two socioeconomic factors: the total investment in fixed assets and GDP. Moreover, it was found that the urban plans, environmental protection policies and major events had a great impact on built-up land expansion. The findings of this study verify that the geographical detector is applicable in analysing the driving forces of built-up land expansion. This study also offers a new perspective in researching the interactions between different drivers.     

Multi-temporal scale modeling on climatic-hydrological processes in data-scarce mountain basins of Northwest China

Previous studies showed that the climatic processes drive the streamflow of the inland river in Northwest China. However, it is difficult to quantitatively assess the climatic-hydrological processes in the ungauged mountainous basins because of the scarce data. This research developed an integrated approach for multi-temporal scale modeling the climatic-hydrological processes in data-scarce mountain basins of Northwest China by combining downscaling method (DM), backpropagation artificial neural network (BPANN), and wavelet regression (WR). To validate the approach, we also simulated the climatic-hydrological processes at different temporal scales in a typical data-scarce mountain basin, the Kaidu River Basin in Northwest China. The main results are as follows: (i) the streamflow is related with regional climatic change as well as atmosphere-ocean variability, (ii) the BPANN model well simulated the nonlinear relationship between the streamflow and temperature and precipitation at the monthly temporal scale, and (iii) although the annual runoff (AR) appears to have fluctuations, there are significant correlations among AR, annual average temperature (AAT), annual precipitation (AP), and oscillation indices, which can be simulated by equations of WR at different temporal scales of years.     

Some phenomena of the interaction between vegetation and a atmosphere on multiple scales

This article studies the response of the distribution pattern and the physiological characteristics of the ecosystem to the spontaneous precipitation and the interaction between vegetation and the atmosphere on multiple scales in arid and semi-arid zones, based on measured data of the ecological physiological parameters in the Ordas Plateau of northern China. The results show that the vegetation biomass and the energy use efficiency of photosynthesis are especially sensitive to the annual precipitation; strong and complex interactions exist between the vegetation and the atmosphere on multiple scales leading to supernormal thermal heterogeneity of the underlying surface, the strong vortex movement and turbulence. This study can facilitate understanding of the land surface processes and the influences of global climate change as well as human activities on the human environment in the arid and semi-arid zones. It also aids in improving the parameterization schemes of turbulent fluxes of a heterogeneous underlying surface for land surface processes in climate models.