基于GIS的北京山区优势林分生态位分析

应用生态位理论,以北京山区森林资源为研究对象,分析优势林分的空间分布及其资源利用和环境适应能力的差异。基于GIS方法,建立优势林分空间分布数据库以及资源梯度信息数据库,分别采用Levins公式和Smith公式,在水分、热量、光照和土壤质量4维环境因子梯度上测定了研究区8个优势林分的生态位宽度,采用Pianka公式测定生态位重叠。结果表明:Smith公式考虑资源可利用性,得到的生态位宽度更能客观地反映优势林分资源空间利用程度;研究区各优势林分重叠度普遍较大,反映了对环境要求的相似性及资源共享的趋势性。     

长山群岛港口地域组合空间结构演化定量分析

在国内外相关研究文献综述的基础上,构建了港口联系强度指数和综合基尼系数,对1986~2004 年长山群 岛港口地域组合空间结构的演化特征进行定量分析,认为从1986 年到2004 年,大长山港口组合单元一直是长山 群岛最重要的门户港,长山群岛港口地域组合整体上看是趋向集中。并对长山群岛陆岛连接方案进行论证,对陆岛 连接工程建设后长山群岛港口地域组合空间结构进行情景分析,“大连———长山群岛”之间的连接、联系方式、途径 发生了变化,这将使长山群岛港口地域组合的空间结构大为改观。对长山群岛港口地域组合空间结构的演化趋势 进行预测。     

滇东北松梁铅锌矿床控矿断裂构造岩微量元素的R型因子分析及其地质意义

通过因子分析这种常用的多元统计方法来揭示元素之间、样品之问以及与地质作用之间的相互关系,了解其中蕴藏着丰富的成矿信息,为研究成矿物质来源和矿床成因提供依据.在研究滇东北巧家松梁铅锌矿床地质特征的基础,以其中Ⅰ号矿体的控矿断裂(F5断裂)内的构造岩为R型因子,得到4组元素组合因子并综合成矿地质条件因子进行分析,结果表明:该矿床严格受构造控制,碳酸盐化蚀变和铅、锌矿化发生在不同的成矿阶段;成矿流体并非完全来自地层,主要来源于深源流体;铅锌等成矿物质具有"多源性",部分来自于地层(白云岩),部分来自于与基底岩石有联系的成矿流体.客矿断裂带内的构造岩裂隙发育,铅锌成矿流体有选择性地沿碎基多、破碎强烈的裂隙充填胶结成矿,矿床应该属赋存于碳酸盐岩中的热液型铅锌矿床.     

关于间接测定碘的分析方法研究

用硝基苯萃取[Cd（Phen）3]^2＋I2^-离子对,再用盐酸反萃取,利用氢化物发生-原子荧光光谱法测定镉的含量,从而间接测定碘。实验在pH=5．2的NaAc-HAc缓冲体系下进行,优化了还原剂KBH;中邻菲罗啉的浓度,镉溶液用量,萃取剂硝基苯的用量,反萃取盐酸的酸度,并制备碘的标准曲线,其线性相关系数R2≥0．9942,线性范围0～10ng／mL,精密度为8．5％,检出限0．80ng／mL,利用标准曲线测出水样中碘的浓度为17．78ng／mL,结果令人满意。实验表明,开发原子荧光光谱间接分析方法,使其能够准确测量更多种类的元素,有着十分积极的意义,同时也能够促进该方法得到更广范的应用。     

郑州市大雾气候特点及一次个例分析

为了了解近20 a郑州市大雾的时空变化特征,根据1980-2005年郑州市大雾观测记录,统计分析了这一时期郑州市大雾的变化特点及产生大雾时的气象要素特征;并利用河南省地面和探空观测资料以及NCEP1°×1°再分析资料,从要素场、大气稳定度等方面,对2007年12月25-27日郑州市大雾形成原因进行了分析.结果表明:郑州市年雾日数呈下降趋势,每月都可以出现大雾,但12月最多,6月最少.降水后较大的相对湿度、稳定的大气层结以及近地层较小风速等是大雾形成的必要条件.     

用多角度遥感数据反演混合像元组分温度的可行性分析

利用多通道信息反演陆面温度的传统方法,由于通道间信息的高度相关使反演结果的精度难以提高,并且无法得到混合像元中的组分温度。文中以非同温混合像元热红外辐射方向性规律为基础,建立了连续植被类型非同温混合像元热红外辐射模型,用蒙特卡罗方法模拟分析了连续植被的组分有效比辐射率与变量的关系。结果表明:连续植被热辐射亮度值是组分温度T_v、T_s,叶面积指数LAI,叶倾角分布LAD,以及单叶面比辐射率ε_v(θ)和土壤表面比辐射率ε_v(θ)的函数。利用先验知识对变量进行分析后表明,6个变量中只有T_v、T_s、LAI、ε_v(0)需要反演。由于多角度间组分辐射亮度的相关性低,从理论上讲只需要4个角度的辐射亮度观测值就可以解出4个未知量而达到反演组分温度的目的。这4个角度数据除选择垂直方向上辐射亮度数据外,应在30°～50°视角范围内选择另外3个热辐射亮度数据。     

衡阳南岳区农村居民点用地合理布局分析

城镇化水平的快速推进和社会主义新农村建设的开展给建设用地供给和耕地保护形成了巨大的压力。农 村居民点用地普遍散乱、粗放的现象为挖掘现有建设用地潜力,少占耕地提供了可能。以衡阳南岳区为例,应用GIS 空间分析与景观指数分析等方法,在分析社会经济、自然地理和生产环境三方面的主要因素对南岳区农村居民点 用地布局的影响后,提出引导南岳区农村居民点合理布局的对策与建议。     

冬春季切变类冰雹发生条件的对比分析

本文以 1996年 12月 31日和 1981年 5月 1日为例 ,对冬、春季节发生在江苏的较大范围的切变类冰雹天气过程作了对比分析。结果指出 ,无论冬季或春季当高原东部有深槽东移 ,冷暖空气在江淮地区交汇 ,地面抬升系统为暖切 ,并有大气层结不稳定 (Δθse( 50 0 - 850 ) <0℃ =中心和较强的风向和风速垂直切变、85 0hPa西南急流轴、85 0hPa最大水汽通量轴线、5 0 0和 85 0hPa正涡度中心等相配置时 ,就可能导致江苏地区较大范围强对流天气的发生。     

Vertical structures of PM10 and PM 2.5 and their dynamical character in low atmosphere in Beijing urban areas

The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower.     

黄土高原半干旱区非均一下垫面粗糙度分析

利用2007年4月17日-2008年4月16日兰州大学半干旱气候与环境观测站边界层气象塔的风速、 风向、 温度、 气压、 湿度等观测资料, 采用经典的廓线法和风速、 风向标准差法, 分别计算了中性大气层结下观测站下垫面粗糙度长度, 并得到了具有黄土高原地理特征的地表粗糙度及其时空变化特征。计算结果表明, 季节变化对粗糙度的影响幅度可达0.159 m, 空间非均一性对粗糙度的影响幅度可达0.155 m。测站附近粗糙度春季为0.017 m, 夏季为0.062 m, 秋季为0.065 m, 冬季为0.018 m。测站西北方向上游粗糙度春季为0.17 m, 夏季为0.22 m, 秋季为0.34 m, 冬季为0.05 m。测站东南方向上游粗糙度春季为0.11 m, 夏季为0.17 m, 秋季为0.19 m, 冬季为0.05 m。该站下垫面粗糙度计算宜选用风速为6±1.5 m·s-1, 风向变化30°范围内的数据。