壳聚糖酶基因在解脂耶氏酵母中的表达及重组酶性质研究

为构建高效表达壳聚糖酶工程菌株,以Microbacteriumsp.基因组为模板扩增壳聚糖酶基因,目的基因与表达载体pINA1317连接构建重组质粒,重组质粒NotⅠ酶切线性化后转化解脂耶氏酵母Y.liPolytica Po1h。所得结果为PCR扩增得到约1000bp的特异性片段,序列分析表明含有壳聚糖酶全长基因,开放阅读框801bp,编码266个氨基酸残基。转化子酶活力为10.4U/mL,是原菌株酶活力的3.15倍。重组蛋白经DEAE-Sepharose FF分离纯化,达到电泳纯,SDS-PAGE显示单一条带,分子量约41kDa。重组酶反应最适温度为45℃,最适pH为5.6,Km和Vmax分别是0.926mg/mL和6.15U/mL。质谱分析酶解产物主要为三糖和五糖。实现了壳聚糖酶在解脂耶氏酵母中的分泌表达,为壳聚糖酶的工业化生产奠定了理论基础。     

我国典型季风海洋性冰川区雪坑中主要阴、阳离子的来源

运用海盐示踪法、相关分析、趋势分析等方法,对我国两处典型季风海洋性冰川(海 螺沟1 号冰川和白水1 号冰川) 积累区雪坑主要化学离子来源进行了综合分析,结果表明： 两冰川区除Na⁺ 是海洋源外,其他离子主要是非海洋源;Cl^-、NO₃ ^-、SO₄ ^2- 、K⁺、Ca²⁺、Mg²⁺ 非 海洋源所占的比重,在海螺沟1 号冰川依次为52%、99%、100%、98%、99.9%、83%,白水 1 号冰川依次为68%、99%、100%、98%、99%、59%;分析认为,海螺沟1 号冰川离子的非 海洋源主要是大气环流远源物质和高原面物质输入,而白水1 号冰川除上述来源外,冰川区 近源物质输入对离子浓度贡献很大。两冰川区各离子具体来源存在较大的差异性并且阴、阳 离子来源的共源性较低,其主要原因是：(1) 冰川区内局地环境的差异,比如岩性、山谷风系 统、地形地貌等;(2) 两冰川区离子淋溶作用强度的差异,分析认为,海螺沟1 号冰川离子淋 溶作用较强;(3) 不同离子的来源方式、沉降方式、自身化学特征以及沉积后过程不同所致。     

Implementing adaptation in developed countries: an analysis of progress and trends

Little attention has been paid thus far to the experiences of developed countries in adapting to climate change. This article addresses this research gap by providing an assessment of broad trends in progress on planning and implementing adaptation in developed countries. Primary inputs are the National Communications (NCs) by these countries to the United Nations Framework Convention on Climate Change (UNFCCC), although the article also discusses illustrative examples of recent adaptation activities that have not been covered in the NCs. NCs reflect ‘whole government’ perspectives and follow a standardized reporting format, which facilitates cross-national comparisons. The analysis shows that impacts and adaptation receive limited attention within NCs. The discussion on impacts and adaptation has typically been dominated by climate scenarios and impacts analysis, while the discussion on adaptation is often limited to the identification of generic options. There are signs of recent progress, however, in the Third and especially the Fourth NCs, in which a growing number of developed countries report on establishing frameworks for adaptation and on efforts to implement adaptation measures that take future climate into account. Although an encouraging sign, it is still too early to assess the eventual impact of such measures.     

天绘一号卫星影像的平原绿化提取方法

平原绿化是我国平原地区森林植被的主体,为生态环境建设提供了有力保障。但平原绿化分布零散,斑块面积小,不易被准确提取。本文以河南省封丘县为例,利用天绘一号卫星影像面向对象分类技术提取了平原绿化。在面向对象分类过程中,针对不同平原绿化信息选取不同的分割尺度和参数,建立影像对象的分割层次结构,确保农田林网、通道防护林、四旁防护林等平原绿化信息能够被准确分割。分类时通过构建隶属度函数,利用层与层之间的关系,子类继承父类的分类特征,在此基础上增加自己的特征,建立分类规则集,逐层提取绿化信息。本文共获取封丘县平原绿化面积152.51 km²,其中,农田林网36.09 km²,通道防护林21.29 km²,四旁防护林71.56 km²,片林23.57 km²。利用验证点数据,对分类结果进行精度评价,总体分类精度为93.50%,Kappa系数达到0.92。     

SBAS技术支持下的临沧市地表时序形变分析

SBAS监测技术作为微波遥感技术,通过最小二乘或奇异值分解的方法,对多个构成三角网的干涉对进行干涉处理,从而得到某个地区的时问序列形变规律.本文使用SBAS技术对覆盖临沧市2019年2月—2020年7月的30景Sentinel-1A雷达数据进行处理.通过剖面和时问序列分析方法对该区域进行分析,研究其地表沉降成因和规律,...     

Unstable kinetic Alfvén wave in partially ionized plasma

The stability of kinetic Alfven waves is discussed for a partially ionized plasma with a flux of ionizing electrons which balance the plasma particle losses. Accidental electromagnetic perturbations are shown to be unstable due to the energy change of ionizing electrons.     

全球重大疫情下的科研合作格局及其演化——以SARS、H1N1、西非Ebola和COVID-19研究为例

国际合作不仅是全球探索前沿科学的主导力量,也是全球应对资源环境、气候变化、健康卫生、公共安全等问题的最佳途径。本文基于Web of Science核心数据库,系统梳理了几次全球重大疫情期间的围绕病毒及相关研究的科研合作情况及其演化态势。研究发现：① 在SARS、H1N1、西非Ebola病毒及相关研究的国际合作上,美国皆扮演重要角色,但中国香港在SARS病毒研究上以及欧洲国家在Ebola病毒研究上也发挥关键作用。② 通过截取四个时间节点上的COVID-19研究文献发表情况发现,中国和美国是两个最为重要的国家,尤其是中美之间的国际合作更是架构COVID-19研究国际合作网络的骨架。鉴于当前COVID-19全球大流行态势,本文建议中国研究机构应当充分利用此次COVID-19病毒在中国较早被发现的“契机”和当前中国有效控制的局势,继续加强对COVID-19病毒及疫苗的各项研究,强化对病毒动物宿主和传播途径的了解,并积极与国外科研机构,尤其是与疫情严重国家和地区的科研机构进行合作,提升科研实力和国际影响力。在合作策略上可借助中国香港地区的优势,与国外相关研究机构开展三方或多方合作。     

ACCURACY OF THE RETRIEVED TEMPERATURE AND HUMIDITY FIELDS FOR TYPHOON HAIYAN UTILIZING THE ADVANCED TECHNOLOGY MICROWAVE SOUNDER

One-dimensional retrieval was performed on Typhoon Haiyan utilizing the advanced technology microwave sounder onboard the satellite Suomi NPP to retrieve the temperature and water vapor profiles of the typhoon. Comparisons of the retrieved profiles and ECMWF reanalysis were made to assess the results. The main conclusions are as follows. (1) The results have high spatial resolution and therefore can precisely represent the temperature and humidity distribution of the typhoon. (2) The retrieved temperature is low in the areas of low temperature and high in the areas of high temperature; similar patterns are observed for humidity. This means that systematic revision may be needed during routine application. (3) The results of the retrieved temperature and humidity profiles are generally accurate, which is quite important for typhoon monitoring.     

L1范数与IQR统计量组合的GNSS坐标序列粗差探测算法

GNSS坐标时间序列中不可避免地含有粗差,未剔除的粗差将会导致参数估计有偏。因此,粗差探测与剔除是GNSS坐标序列分析中一项重要的数据预处理工作。针对GNSS坐标时间序列特点,提出了一种将L1范数(L1-norm)估计与四分位距统计量IQR(interquartile range)组合的移动开窗粗差探测算法,称之为L1_Mod IQR。该方法的主要思想是,首先利用L1范数估计得到较"真实"的残差,然后再对残差采用IQR统计量进行粗差探测。将L1_Mod IQR法与"3σ"法、基于最小二乘的τ检验法等粗差探测算法进行了模拟计算与对比,验证了该算法的有效性。进一步采用L1_Mod IQR算法对中国区域10个IGS站的高程时间序列进行了分析,结果表明中国区域IGS站高程序列的粗差剔除率最小为0.1%,最大为2.6%。并且以WUHN站为例与SOPAC提供的结果进行了对比,结果表明SOPAC提供的"Clean"数据仍含有大量的粗差,而L1_Mod IQR算法能够有效地剔除粗差。     

Combining Decision Trees with Angle Indices to Identify Mangrove Forest at Shenzhen Bay,China

Mangroves are woody plant communities in the intertidal zone of tropical and subtropical coasts that play an important role in these zones. The infrared wave band is one of the key bands in the remote sensing identification of mangrove forest, and ALI (advanced land imagery) has a large number of infrared bands. Two angle indices were proposed based on liquid water absorption at band 5p and band 5 of EO-1 ALI, denoted as β_1.25 and β_1.65 respectively. A decision tree method was adopted to identify mangrove forest using remote sensing techniques for β_1.25-β_1.65 and NDVI (normalized difference vegetation index) for EO-1 ALI imagery acquired at Shenzhen Bay. The results showed that the reflectance of mangrove forests at band 5p and band 5 was significantly lower than that of terrestrial vegetation due to the characteristics of coastal wetlands of mangrove forests. This resulted in a greater β_1.25-β_1.65 value for mangrove forest than terrestrial vegetation. The decision tree method using β_1.25-β_1.65 and NDVI effectively identifies mangrove forest from other land cover categories. The misclassification and leakage rates were 4.29% and 5.11% respectively. ALI sensors with many infrared bands could play an important role in discriminating mangrove forest.