Multi-scale coupling analysis of urbanization and ecosystem services supply-demand budget in the Beijing-Tianjin-Hebei region,China

Journal of Geographical Sciences - Rapid economic development and human activities have severely affected ecosystem function. Analysis of the spatial distribution of areas of rapid urbanization is...     

低碳盐湖提锂:高渗透选择性纳滤膜和正渗透膜材料

报道了联合基金项目“面向青海盐湖卤水锂提取过程强化的高性能中空纤维正渗透膜材料的设计研究”的最新进展。研究从吸附/解吸或稀释盐湖卤水出发,采用“纳滤－正渗透膜”耦合工艺纯化和浓缩Li+浓度至3 wt.%用于碳酸锂沉淀。研究重点是制备高渗透分离性能的层层自组装中空纤维纳滤膜和正渗透膜材料。通过基膜孔结构和物化性能与层层自组装纳滤膜性能和界面聚合正渗透膜性能之间的关系研究及系列技术攻关,已完成四寸中空纤维纳滤膜和正渗透膜的制备,技术指标达到项目指标。项目研究为青海盐湖锂提取提供了核心的分离和浓缩膜材料。     

Transcriptome profile of Dunaliella salina in Yuncheng Salt Lake reveals salt-stress-related genes under different salinity stresses

Journal of Oceanology and Limnology - Salt stress is an abiotic stress to plants in especially saline lakes. Dunaliella, a halophilic microalga distributed throughout salt lakes and seas, can...     

一种基于改进SEIR模型的突发公共卫生事件风险动态评估与预测方法——以欧洲十国COVID-19为例

突发公共卫生事件会严重影响社会公众生命健康,风险评估和预测可为突发公共卫生事件有效防控提供科学依据。本文提出了一种基于SEIR模型的突发公共卫生事件风险动态评估与预测方法,将突发公共卫生事件传播与人口、医疗、经济情况相结合,耦合危险性与脆弱性,建立合理的风险评估综合指标体系,利用熵值—层次分析组合模型实现突发公共卫生事件风险动态评估。此外,本文建立了传染病传播动力学修正SEIR模型,将传染病传播动力学模拟预测与风险评估相结合,实现突发公共卫生事件演变趋势的预测和风险的动态预测。2019年12月底的COVID-19疫情是一次传播速度快、感染范围广、防控难度大的重大突发公共卫生事件。本文以欧洲10国COVID-19疫情为例,开展风险评估与风险动态预测研究,依据欧洲10国自疫情开始至2020年4月16日的疫情数据,预测了2020年4月17日—2020年5月10日疫情演变的趋势,进而实现了10国的疫情风险动态预测。本文模型预测结果表明至2020年5月10日欧洲10国疫情形势仍然严峻,预测数据与真实数据的拟合优度R ²大于0.92,预测结果与疫情真实情况基本一致,在此情况下,复工复产对于疫情防控仍然是不利的。本文提出的基于SEIR模型的公共卫生事件风险动态评估与预测方法为疫情已然传播开的国家和地区提供了风险持续评估和预测的可能,为后期疫情防控决策提供了支持,同时也可用于今后新的疫情发生时期或其他突发性公共卫生事件下风险的应急评估和预测。     

中国科技资源配置效率测度及其时空格局演变特征(英文)

According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001–2010, using modified method—Data Envelopment Analysis(DEA), science and technology(ST) resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of ST resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of ST resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis(ESDA). It turned out that:(1) the average of ST resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening.(2) The asymmetrical distribution of ST resource allocation efficiency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose ST resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China.(3) The coupling degree between ST resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of ST resource allocation efficiency is common in regional development, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of ST resources and so on.(4) In the perspective of the evolution of spatial structure, ST resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of ST resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency.(5) Viewed from LISA agglomeration map ofST resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the continuity of ST resource allocation efficiency in geographical space is gradually increasing.     

Propagation of vertical and horizontal source data errors into a TIN with linear interpolation

Digital elevation models (DEMs) have been widely used for a range of applications and form the basis of many GIS-related tasks. An essential aspect of a DEM is its accuracy, which depends on a variety of factors, such as source data quality, interpolation methods, data sampling density and the surface topographical characteristics. In recent years, point measurements acquired directly from land surveying such as differential global positioning system and light detection and ranging have become increasingly popular. These topographical data points can be used as the source data for the creation of DEMs at a local or regional scale. The errors in point measurements can be estimated in some cases. The focus of this article is on how the errors in the source data propagate into DEMs. The interpolation method considered is a triangulated irregular network (TIN) with linear interpolation. Both horizontal and vertical errors in source data points are considered in this study. An analytical method is derived for the error propagation into any particular point of interest within a TIN model. The solution is validated using Monte Carlo simulations and survey data obtained from a terrestrial laser scanner.     

福建省水生态足迹时空分异

利用改进的生态足迹模型,分析福建省2005—2011年的水生态足迹时空分异,得出几点结论：1）福建省水生态处于盈余状态,但人均水生态足迹增加;2）2011年福建省万元GDP水生态足迹为0.255 1 hm^2/万元,与2005年0.708 7 hm^2/万元对比,产出效率提高了64.00%。3）建议通过生态优势与经济优势相互转化、调整产业结构、提倡绿色消费实现可持续发展。     

2013年夏季湖南严重高温干旱及其大气环流异常

利用湖南省97个台站降水、气温资料和NECP/NCAR再分析资料以及NOAA卫星观测的OLR场资料,系统分析了2013年6月30日至8月14日湖南持续高温干旱的时空分布及同期大气环流异常特征。结果表明：2013年夏季是湖南1951年以来降水最少、高温干旱程度最严重的一年。西太平洋副热带高压强度偏强、西伸脊点偏西,湖南处在副高控制下,盛行下沉气流是发生持续高温干旱的直接原因;西太平洋副高内增强的下沉气流,致使多数县市高温日数和极端高温突破历史同期最高记录。位于菲律宾附近的OLR低值带中心偏西,致使副热带地区下沉区偏西,进而造成西太平洋副高偏强偏西。此外,湖南地区上空为水汽输送异常辐散中心,这在一定程度上促使了干旱的发生发展。     

浅基础地基荷载-变形特性的分析研究

在土体主应力方向的旋转过程中,主应力方向与塑性主应变增量方向之间存在着非共轴现象,非共轴现象对应力-应变关系具有显著的影响。通过有限元二次开发,将角点结构非共轴理论应用到有限元程序ABAQUS中;对密砂单剪试验进行数值模拟,研究了非共轴现象及其对应力-应变关系的影响;采用离心模型试验方法,对圆形浅基础作用下饱和密砂地基荷载-变形特性进行试验研究;对离心模型试验进行数值模拟,将试验结果与数值计算结果进行对比,对非共轴模型的计算结果的合理性进行验证。研究结果表明:非共轴现象对浅基础地基荷载-变形特性具有显著的影响;当选取合理的非共轴塑性模量时,非共轴模型的计算结果与离心模型试验结果比较接近。     

Water discharge variability of Changjiang （Yangtze） and Huanghe （Yellow） Rivers and its response to climatic changes

Influences of large-scale climatic phenomena, such as the E1Nifio/La Nifia-Southem Oscillation （ENSO） and the Pacific Decadal Oscillation （PDO）, on the temporal variations of the annual water discharge at the Lijin station in the Huanghe （Yellow） River and at the Datong station in the Changjiang （Yangtze） River were examined. Using the empirical mode decomposition-maximum entropy spectral analysis （EMD- MESA） method, the 2- to 3-year, 8- to 14-year, and 23-year cyclical variations of the annual water discharge at the two stations were discovered. Based on the analysis results, the hydrological time series on the inter- annual to interdecadal scales were constructed. The results indicate that from 1950 to 2011, a significant downward trend occurred in the natural annual water discharge in Huanghe River. However, the changes in water discharge in Changjiang River basin exhibited a slightly upward trend. It indicated that the changes in the river discharge in the Huanghe basin were driven primarily by precipitation. Other factors, such as the precipitation over the Changjiang River tributaries, ice melt and evaporation contributed much more to the increase in the Changjiang River basin. Especially, the impacts of the inter-annual and inter-decadal climate oscillations such as ENSO and PDO could change the long-term patterns of precipitation over the basins of the two major rivers. Generally, low amounts of basin-wide precipitation on interannual to interdecadal scales over the two rivers corresponded to most of the warm ENSO events and the warm phases of the PDO, and vice versa. The positive phases of the PDO and ENSO could lead to reduced precipitation and consequently affect the long-term scale water discharges at the two rivers.