The evolution of the spatial-temporal patterns of global energy security since the 1990s

Journal of Geographical Sciences - In this study, we developed an energy security evaluation model (ESEM) from three dimensions, energy supply-transport security, safety of energy utilization, and...     

Spatial distribution characteristics of national protected areas in China

Journal of Geographical Sciences - This paper investigated spatial structures of 3418 national protected areas (NPAs) grouped into 13 types using GIS and quantitative analysis, including point...     

Rural settlement spatial patterns and effects: Road traffic accessibility and geographic factors in Guangdong Province,China

Journal of Geographical Sciences - Based on land use classification data of remote sensing images, using kernel density, the minimal cumulative resistance model of road traffic accessibility, and a...     

Simulation of urban expansion via integrating artificial neural network with Markov chain – cellular automata

Accurate simulations and predictions of urban expansion are critical to manage urbanization and explicitly address the spatiotemporal trends and distributions of urban expansion. Cellular Automata integrated Markov Chain (CA-MC) is one of the most frequently used models for this purpose. However, the urban suitability index (USI) map produced from the conventional CA-MC is either affected by human bias or cannot accurately reflect the possible nonlinear relations between driving factors and urban expansion. To overcome these limitations, a machine learning model (Artificial Neural Network, ANN) was integrated with CA-MC instead of the commonly used Analytical Hierarchy Process (AHP) and Logistic Regression (LR) CA-MC models. The ANN was optimized to create the USI map and then integrated with CA-MC to spatially allocate urban expansion cells. The validated results of kappa and fuzzy kappa simulation indicate that ANN-CA-MC outperformed other variously coupled CA-MC modelling approaches. Based on the ANN-CA-MC model, the urban area in South Auckland is predicted to expand to 1340.55 ha in 2026 at the expense of non-urban areas, mostly grassland and open-bare land. Most of the future expansion will take place within the planned new urban growth zone.     

A surface network based method for studying urban hierarchies by night time light remote sensing data

Urban hierarchies are closely related to economic growth, urban planning and sustainable urban development. Due to the limited availability of reliable statistical data at fine scales, most existing studies on urban hierarchy characterization failed to capture the detailed urban spatial structure information. Previous studies have demonstrated that night time light data are correlated with many urban socio-economic indicators and hence can be used to characterize urban hierarchies. This paper presents a novel method for studying urban hierarchies from night time light data. Night time light data were first conceptualized as continuous mathematical surfaces, termed night time light surfaces. From the morphology of these surfaces the corresponding surface networks were derived. Hereafter, a night time light intensity (NTLI) graph was defined to describe the morphology of the surface network. Then, structural similarity between the night time light surfaces of any two different cities was calculated via a threshold-based maximum common induced graph searching algorithm. Finally, urban hierarchies were defined on the basis of the structural similarities between different cities. Using the 2015 annual NPP-VIIRS night time light data, the urban hierarchies of 32 major cities in China were successfully examined. The results are highly consistent with the reference urban hierarchies.     

Primary investigation of statistical correlation between changes in ice volume and area of glaciers

This study makes an attempt to investigate through statistical analysis the correlation between changes in ice volume and area of glaciers. Using data from nine sample glaciers in the Tian Shan, the results show that a linear relation exists between changes in ice volume and area, with a correlation coefficient of 0.700. However, the accuracy estimation is difficult due to the limited number of samples. The correlation was not improved after adding eleven glacier samples in other mountains. Two reference glaciers are then analyzed in more detail. The linear correlation coefficient is higher than 0.800 when using the observed changes in ice volume and area during different periods on Urumqi Glacier No. 1, which suggests that the linear relation is valid for one glacier for different periods if its shape does not change noticeably and also for other glaciers of the same shape during the same period. The relation between changes in ice volume and area of Qingbingtan Glacier No. 72 is different during different periods due to change in the shape of the glacier tongue and the influence of the debris cover. Moreover, errors in glacier-change monitoring and-volume estimation have an important influence on the correlation results. Therefore, further study needs to focus not only on the distinction between glacier types and between different periods but also on the accuracy of volume estimation.     

山东半岛南北两侧海域真核浮游生物群落特征及与环境因子的相关性分析

为了解山东半岛南北两侧的烟台崆峒岛(KTD)海域和日照东港(DG)海域真核浮游生物群落特征,采用高通量测序技术,以18S rDNA V4区为目标基因,对2017年10月至2018年7月两海域的真核浮游生物多样性进行了检测;同期测定两海域的环境因子(溶解氧、氨氮含量等10个理化指标),并与真核浮游生物丰富度做相关性分析。实验结果表明:通过高通量测序技术共鉴定出浮游生物455种,其中,KTD海域共检测出真核浮游生物36个门类424种;DG海域共检测出真核浮游生物34个门类365种。绿藻门(Chlorophyta)、硅藻门(Diatomea)是两海域浮游植物中整体丰度最高的门类。KTD海域,绿藻门各月丰度在3.0%—21.3%之间,其中2018年7月(K1807)最高,达到了21.3%;硅藻门各月丰度在2.0%—16.59%之间,其中2018年2月(K1802)最高,达到了16.59%。DG海域,绿藻门各月丰度在2.0%—12.3%之间,其中2017年11月份(D1711)最高,达到了12.3%;硅藻门各月丰度在2.0%—47.0%之间,其中1月(D1801)最高,达到了47.0%。占优势地位的浮游动物主要是节肢动物门类的物种,其每月丰度分别在6.0%—38.9%和7.6%—48.6%之间。环境因子相关性分析表明水温、DO、pH、硅酸盐、硝酸盐氮等环境因子为影响该海域浮游生物群落结构的主要因子。研究结果对了解双壳经济贝类养殖区饵料组成及其在时空的变化,对海岸带食物网、生态基础管理和海洋经济贝类养殖生产等方面提供数据支撑。     

条斑紫菜酵母双杂交文库的构建及PyMAPK5互作蛋白的筛选

为进一步研究条斑紫菜促分裂原活化激酶家族PyMAPK5的下游互作蛋白,理解其生物学功能,本研究通过酵母双杂交的方法进行其相互作用蛋白的筛选。提取不同温度和失水逆境胁迫下的RNA,利用Invitrogen体系构建条斑紫菜酵母双杂交cDNA文库,其库容为1.44×107CFU,重组率为91.8%。以pGBKT7-PyMAPK5为诱饵蛋白载体,利用共转化方法,从文库中筛选得到26个与PyMAPK5互作的候选蛋白。候选蛋白集中在光系统II相关蛋白、捕光蛋白、微管蛋白、ATP酶、GTP结合蛋白及假设蛋白等。微管蛋白、捕光蛋白、光系统II蛋白一对一验证结果为阳性,表明在酵母体内存在互作。本研究为阐明条斑紫菜PyMAPK5与其互作蛋白的关系及解析PyMAPK5下游作用机制奠定了基础。     

围海造陆条件下排海高温浓盐水对渤海湾温盐场分布影响模拟及预测

自2000年以来围绕渤海湾的围海工程剧增,致使工程区附近潮流场发生变化,进而影响排海高温浓盐水的时空分布特征。本文通过建立2000年和2015年两种不同岸线、地形条件下的三维数学模型对渤海湾沿岸3个电厂高温浓盐水表层排海问题进行模拟,研究结果表明,渤海湾的潮流场和高温浓盐水输移扩散特征在近十几年发生了较大变化:工程后,渤海湾平均盐度增大0.203,平均温度升高了0.105℃,同时曹妃甸附近海域浓盐水输移扩散速度明显增加。增大排放口流量至12.7 m3/s,湾内最高温度为26.46℃,较2015年最高温度增加了2.72℃。本文模型可准确模拟及预测排海废水盐度、温度分布特征,为合理布置水电联产设备排放口的位置提供理论基础。     

长江口盐度梯度下不同形态碳的分布、来源与混合行为

河口碳的生物地球化学过程是全球碳循环的重要组成。通过测定溶解无机碳（DIC）及其稳定同位素丰度（δ13C_DIC）,溶解有机碳（DOC）,有色溶解有机物（CDOM）,颗粒有机碳（POC）及其稳定同位素丰度（δ13C_POC）与元素比值（N/C）及相关指标,研究了2014年7月长江口盐度梯度下不同形态碳的分布、来源和混合行为。结果表明,DIC浓度、DOC浓度、POC含量分别为1 583.2~1 739.6 μmol/L,128.4~369.4 μmol/L和51.2~530.8 μmol/L,这些不同形态碳及CDOM的荧光组分的分布模式相似,均是从口内到口外,整体呈现先增大后减小的趋势,并与盐度呈现非保守混合行为。添加作用主要发生在在口门处最大浑浊带附近。与含量相反,从口内到口外,δ13C_DIC和δ13C_POC均呈现逐渐减小再增大的趋势,在口门附近达到最低值,分别为-9.7‰和-26.7‰。在口门附近不同形态碳含量上升及δ13C_DIC、δ13C_POC的降低可能主要与沉积物再悬浮及微生物作用有关。基于蒙特卡洛模拟的三端元混合模型的结果显示,河口内外POC来源变化明显,口内POC以陆源有机碳贡献为主,平均为62.3%,口外海源贡献逐渐增加。CDOM相关参数结果表明长江口CDOM主要来自陆源输入,海源及人类活动等也对其产生影响。