Disciplinary System and Development Strategy for Eco-hydrology

Eco-hydrology is a new discipline developed in recent decades. It is of great significance to accelerate and promote the development of eco-hydrology subject by constructing a perfect discipline system and formulating future development strategies. By reviewing a large number of literatures, this paper systematically combed and expounded the development and evolution of the eco-hydrology, which can be divided into five stages, the embryonic period of eco-hydrology (1970-1986), formulation terminology and the initial exploration period of eco-hydrology (1987-1991), discipline establishment and the initial development period of eco-hydrology (1992-1995), the rapid development period of eco-hydrology (1996-2007) and the improvement period of eco-hydrology (2008-present). Based on the analysis of the development of eco-hydrology, the disciplinary system of eco-hydrology was proposed as a framework of “theory-method-practice-branch discipline”. Finally, combined with the authors’ understanding, this paper put forward the development strategy system of the eco-hydrology, including the disciplinary research plan, the key research project, the country’s major demand, the discipline construction and the international cooperation, which will provide support for the promotion and establishment of a sound disciplinary system of eco-hydrology.     

Intraseasonal oscillation of the rainfall variability over Rwanda and evaluation of its subseasonal forecasting skill

非洲中东部地区的经济主要依靠自给农业支撑,该地区农业经济对降水的变化尤为敏感.本文以卢旺达为例,观测分析指出卢旺达的次季节降雨主要集中在10-25天;根据次季节尺度降水变率的单点相关方法,发现卢旺达的次季节降水变率和周围区域变化一致;进一步合成结果显示该地区次季节降水变率与异常西风有关,这可追溯到赤道地区西传的赤道Rossby波.最后,本文评估了当前动力模式ECMWF对 卢旺达地区(即非洲中东部)次季节降水变率的预报能力,发现EC模式在对该区域降水和相关风场指数的预报技巧都在18天左右,且预报技巧表现出一定的年际差异,这可能与热带太平洋的背景海温信号有关.该工作增进了当 前对非洲中东部地区的次季节降水变率和预测水平的认知,并且对该地区国家粮食安全和防灾减灾具有启示性意义.     

Intraseasonal oscillation of the southwest monsoon over Sri Lanka and evaluation of its subseasonal forecast skill

斯里兰卡的雨季发生于5-9月间,主要受西南季风的控制.本文发现该地区的西南季风降水存在很强的次季节变率,主导周期为10-35天.降水的季节内变化与西传的异常气旋有关.进一步,利用S2S比较计划中欧洲中心的数值预报模式(ECMWF)提供的回报试验数据,评估了当今动力模式对斯里兰卡西南季风次季节变化的预报技巧.结果显示,对季风指数的预测技巧超过30天,而对降水指数的预测技巧大约两周,且模式的预报技巧具有明显的年际差异.分析表明,能否正确模拟出大尺度环流对热带对流的响应是影响斯里兰卡降水预测的重要因子.     

An improved ionosphere interpolation algorithm for network RTK in low-latitude regions

A traditional interpolation algorithm with the linear interpolation method (LIM) using a fixed number of reference stations is widely used in network RTK to obtain the ionospheric delays for the users. In low-latitude regions, where the ionosphere is relatively active, however, large interpolation errors exist, especially for satellites at low elevation angles. Considering the characteristics of “coinciding ionospheric pierce points (CIPPs)” with a similar nature of ionospheric delays, an improved interpolation algorithm is proposed. In this algorithm, all stations with CIPPs are used to establish the interpolation model; thus, more precise interpolation model is achieved. To validate the performance of the proposed algorithm, data from some reference stations in Guangdong Province of China were used, and the results are compared with those with the traditional interpolation algorithm. Numerical analysis shows that the interpolation accuracy of the proposed algorithm increases by 10–30% compared with the traditional one. Since the number of reference stations is flexible, the proposed algorithm can also balance the model accuracy with the computation burdens. In addition, the proposed algorithm is less affected by the selection of master reference station. In terms of network RTK on-the-fly positioning, the time-to-first-fix is reduced when replacing the traditional interpolation algorithm with the proposed one.     

基于DBSCAN算法的孔深测量与地层反演理论研究

论文针对地质勘探取心工况复杂、钻进深度大、事故发生率高、岩性复杂、钻进参数难以获取、无法实时掌握钻进状态的难题,在充分调研现有工况识别技术的采集原理、功能种类、现场实测的基础上,结合钻探智能化、自动化的发展方向,运用硬件与软件结合的思想,设计了实时测量钻探参数的方案。论文首次提出使用DBSCAN（针对噪声空间基于分布密度进行聚类的算法）密度聚类法分析钻进参数,结合光电编码器增量的正负性进行工况判别,以获取钻头位置以及钻孔深度。该方案可以判别钻进状态,获取钻进工艺参数,将测量数据作为所钻地层的可钻参数来反演地层。钻机的自动化、智能化研究能获取大量地层资料,有利于推进钻进工艺学发展,实现从经验钻探到智能钻探进的突破。同时,为智能钻进系统奠定基础。     

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.     

中国内蒙古下白垩统白彦华群胜利组的首个同位素年龄

由于丰富的煤炭资源,内蒙古的下白垩统地层具有重要的经济价值.但长期以来相关地层一直缺乏同位素测年研究,影响了区域地层对比工作的开展.本文对内蒙古锡林浩特下白垩统胜利组煤层夹层中的火山灰锆石应用LA-ICP-MS进行U-Pb法测年,结果显示胜利组5煤(层)和6煤(层)形成于大约109-107 Ma(早白垩世阿尔布期).这...     

荒漠草原植物群落光合速率对水氮添加的响应

氮沉降和降水格局改变对草原生态系统的结构、功能及关键过程具有重要影响。依托内蒙古乌拉特荒漠草原研究站的全球变化实验平台,研究了氮添加和增减雨（+50%、-50%）及其交互作用对荒漠草原植物群落光合速率和植被特征的影响,分析了荒漠草原植物群落光合速率与植被特征的关系。结果表明：（1）短期氮添加对荒漠草原植物群落光合速率和植被特征没有显著影响（P > 0.05）;（2）降水格局改变显著影响荒漠植物群落光合速率（P < 0.05）,减雨50%显著降低了荒漠草原植物群落光合速率和优势种植物高度（P < 0.05）,而降水增加50%没有改变群落光合速率和植被特征,降水改变下的土壤水分能很好地解释群落光合速率;（3）氮添加和增加降水的交互效应显著提高了群落的光合速率和优势种植物高度（P < 0.05）,而减少降水与氮添加没有显著影响;（4）荒漠草原植物群落盖度、优势种盖度、优势种平均高度与群落的光合速率呈现出指数增加关系,解释率为40%~58%。干旱极大地抑制荒漠草原植物群落光合速率,而氮沉降则依赖于降水增加来提高群落的光合速率,荒漠草原植物群落光合速率与水肥处理下的植物生长特征具有密切的关系。     

2012—2016年象山近岸海域水质评价与模拟研究

为了解象山近岸海域水质污染状况,文章根据2012—2016年象山县近岸海域的水质监测结果,分析象山近岸海域水质现状及年际变化。应用灰色预测的模型来对象山近岸海域水质主要污染物的相关数据进行处理,得出主要污染物的预测结果。分析结果表明：象山近岸海域主要污染物为无机氮。用预测结果和实际数值通过残差验证,最后模拟出今后几年的监测值,为象山县近岸海域生态环境相关管理部门提供数据支撑和决策依据。     

Terrestrial heat flow and lithospheric thermal structure in the Chagan Depression of the Yingen-Ejinaqi Basin,north central China

The Chagan Depression in the Yingen-Ejinaqi Basin, located at the intersection of the Paleo-Asian Ocean and the Tethys Ocean domains is an important region to gain insights on terrestrial heat flow, lithospheric thermal structure and deep geodynamic processes. Here, we compute terrestrial heat flow values in the Chagan Depression using a large set of system steady-state temperature data from four representative wells and rock thermal conductivity. We also estimate the “thermal” lithospheric thickness, mantle heat flow, ratio of mantle heat flow to surface heat flow and Moho temperature to evaluate the regional tectonic framework and deep dynamics. The results show that the heat flow in the Chagan Depression ranges from 66.5 to 69.8 mW/m², with an average value of 68.3 ± 1.2 mW/m². The Chagan Depression is characterized by a thin “thermal” lithosphere, high mantle heat flow, and high Moho temperature, corresponding to the lithospheric thermal structure of “cold mantle and hot crust” type. We correlate the formation of the Yingen-Ejinaqi Basin to the Early Cretaceous and Cenozoic subduction of the western Pacific Plate and the Cenozoic multiple extrusions. Our results provide new insights into the thermal structure and dynamics of the lithospheric evolution in central China.