Adsorption Mechanism and Kinetic Characterization of Bituminous Coal under High Temperatures and Pressures in the Linxing‐Shenfu Area

The majority of coalbed methane(CBM) in coal reservoirs is in adsorption states in coal matrix pores. To reveal the adsorption behavior of bituminous coal under high-temperature and high-pressure conditions and to discuss the microscopic control mechanism affecting the adsorption characteristics, isothermal adsorption experiments under hightemperature and high-pressure conditions, low-temperature liquid nitrogen adsorption-desorption experiments and CO2 adsorption experiments were performed on coal samples. Results show that the adsorption capacity of coal is comprehensively controlled by the maximum vitrinite reflectance(Ro, max), as well as temperature and pressure conditions. As the vitrinite reflectance increases, the adsorption capacity of coal increases. At low pressures, the pressure has a significant effect on the positive effect of adsorption, but the effect of temperature is relatively weak. As the pressure increases, the effect of temperature on the negative effect of adsorption gradually becomes apparent, and the influence of pressure gradually decreases. Considering pore volumes of pores with diameters of 1.7-100 nm, the peak volume of pores with diameters 10-100 nm is higher than that from pores with diameters 1.7-10 nm, especially for pores with diameters of 40-60 nm, indicating that pores with diameters of 10-100 nm are the main contributors to the pore volume. The pore specific surface area shows multiple peaks, and the peak value appears for pore diameters of 2-3 nm, indicating that this pore diameter is the main contributor to the specific surface area. For pore diameters of 0.489-1.083 nm, the pore size distribution is bimodal, with peak values at 0.56-0.62 nm and 0.82-0.88 nm. The adsorption capability of the coal reservoir depends on the development degree of the supermicroporous specific surface area, because the supermicroporous pores are the main contributors to the specific pore area. Additionally, the adsorption space increases as the adsorption equilibrium pressure increases. Under the same pressure, as the maximum vitrinite reflectance increases, the adsorption space increases. In addition, the cumulative reduction in the surface free energy increases as the maximum vitrinite reflectance increases. Furthermore, as the pressure increases, the surface free energy of each pressure point gradually decreases, indicating that as the pressure increases, it is increasingly difficult to adsorb methane molecules.     

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。     

中国东部植被NDVI对气温和降水的时空响应(英文)

Temporal and spatial response characteristics of vegetation NDVI to the variation of temperature and precipitation in the whole year,spring,summer and autumn was analyzed from April 1998 to March 2008 based on the SPOT VGT-NDVI data and daily temperature and precipitation data from 205 meteorological stations in eastern China.The results indicate that as a whole,the response of vegetation NDVI to the variation of temperature is more pronounced than that of precipitation in eastern China.Vegetation NDVI maxi...     

基于VisIt的全球科学数据并行可视化——以大气温度场为例

针对当前大规模全球科学数据可视化中存在的单机可视化数据量有限、从底层开发并行可视化系统难度大等问题,该文基于分布式环境和VisIt,提出了一种简便、开放而又有效的大规模全球科学数据可视化方法。介绍了VisIt的体系结构及运行机制,给出了自定义数据的并行可视化方法;并基于NCEP数据集及全球空间格网,在小规模集群环境下实现了小粒度适应性球体退化八叉树格网(SDOG)下的全球大气温度场的并行可视化。VisIt的并行可视化性能测试结果表明:通过增加计算节点,VisIt能有效摆脱传统单机可视化对数据量的限制,可实现大规模全球科学数据的并行可视化。     

中国西北干旱半干旱区年平均气温的时空变化规律分析

利用中国西北干旱区138个测站,近46年历年平均地面月气温资料,采用线性趋势分析、多项式拟合、EOF、REOF、Mann-Kendall、子波分析等方法,分析了干旱区年平均气温对气候变暖的响应.结果表明:(1)中国西北干旱半干旱区年平均气温近46年增温率为0.34℃/10 a.新疆西部、青海高原东部的部分地方受大地形背风坡影响有不显著的上升趋势,其余大部分区域增温显著,同步响应全球变暖.(2)年平均气温标准差分布不均匀.除南疆和海东-陇南-带相对较小,该区其余大部分区域年平均气温的年际变化稳定性差.(3)蒙陕甘宁-塔里木盆地是该区气温变化最敏感的区域.年平均气温的演变在干旱半干旱区一致性程度较高.从20世纪70年代初期开始发生降温-升温转型,1986年有一次显著突变,其后气温达到一个更显著的增暖时期;全区性的前10个偏热年,全部出现在20世纪90年代及以后,各分区的异常偏热年,大多数也出现在1990年以后;气温异常变化存在5年和10年左右的周期,从15年以上的变化层次来看,气温趋势还在偏高的位置.(4)年平均气温存在演变的地域差异,蒙新区和陕甘宁青区南北变化相反.(5)根据REOF分析将该区年平均气温异常细分为北部区、高原区、南疆区和东部区4个分区.西部干旱半干旱区年平均气温的转折存在区域差异,高原和南疆区单调增暖,无明显转折,北部区的转暖时间比较低纬度的东部大致要早5年左右.受高原"启动区"影响,其它区的突变比高原要晚3～10年,其它区的年代际变化比高原要晚1～2年.     

Spatio-temporal changes in agricultural hydrothermal conditions in China from 1951 to 2010

Based on the daily observation data of 824 meteorological stations during 1951- 2010 released by the National Meteorological Information Center, this paper evaluated the changes in the heat and moisture conditions of crop growth. An average value of ten years was used to analyze the spatio-temporal variation in the agricultural hydrothermal conditions within a 1 km² grid. Next, the inter-annual changing trend was simulated by regression analysis of the agricultural hydrothermal conditions. The results showed that the contour lines for temperature and accumulated temperatures (the daily mean temperature ≥0°C) increased significantly in most parts of China, and that the temperature contour lines had all moved northwards over the past 60 years. At the same time, the annual precipitation showed a decreasing trend, though more than half of the meteorological stations did not pass the significance test. However, the mean temperatures in the hottest month and the coldest month exhibited a decreasing trend from 1951 to 2010. In addition, the 0°C contour line gradually moved from the Qinling Mountains and Huaihe River Basin to the Yellow River Basin. All these changes would have a significant impact on the distribution of crops and farming systems. Although the mechanisms influencing the interactive temperature and precipitation changes on crops were complex and hard to distinguish, the fact remained that these changes would directly cause corresponding changes in crop characteristics.     

新疆天山南麓一次冰雹天气成因分析

利用常规观测资料、NCEP 1°×1°的6h再分析资料和地面加密自动气象观测资料,分析了2010年5月15日发生在新疆沙雅县境内的一次强冰雹天气。分析显示,巴尔喀什湖低槽、冰雹区上游的中尺度切变线是冰雹天气的直接影响系统,其水汽源于塔里木盆地西部和中部地区,水汽在低层集中和输送,冰雹区上空的辐合上升运动为冰雹出现提供了水汽和动力条件,强冰雹产生在地面高能区附近,冰雹发生前低层和整层大气存在不稳定能量。此次强冰雹过程中对应地面上有中尺度低压、中尺度辐合线和中尺度涡旋,强冰雹是由γ中尺度对流单体产生的,中尺度辐合线维持5h,中尺度涡旋维持3h,γ中尺度对流单体的生命史为30min左右。     

三种非线性回归逐时气温预报比较订正

选取ECMWF和T639的2013年1月至2014年12月的数值预报场构造预报因子,基于神经网络、支持向量机和构造函数的非线性方法,预报地面逐时气温。试验结果显示,在单个方法预报误差较大时,3种方法的偏差订正集成方法更利于减小误差,通过偏差订正,3种非线性方法预报效果良好,平均绝对误差减小了0.5 ℃。在近1年独立样本的预报检验中,集成方法、神经网络、支持向量机和构造函数预报的平均绝对误差分别为1.5 ℃、1.7 ℃、1．8 ℃和1．4 ℃,总体上构造函数预报更为准确。     

单次极端高温过程中城市热岛效应的识别

利用高密度自动观测站逐时气温资料和NCEP再分析资料,按照客观的标准选择参考站,分析2010年7月2~6日北京一次极端高温过程中城市热岛强度(IUHI)对城区地面气温时空分布的影响。此次高温过程连续5日的日最高气温均超过35.0°C,为北京站1951年以来连续5日平均最高气温的最高值。大陆暖高压控制我国大部分地区,北京处于高压脊前,西北气流下沉增温,加之气流越山引起的焚风效应,是导致此次极端高温过程发生的环流背景。但受城市热岛效应影响,最高、最低和平均气温的空间分布均出现了以城区为中心的高值区,从城区中心向郊区平均IUHI逐渐减小,最低气温IUHI较大,四环线以内5日平均IUHI达到2.93°C,四、五环线之间1.87°C,五、六环线之间1.43°C;最高气温IUHI较小,但四环线以内,四、五环线之间和五、六环线之间5日平均IUHI仍分别达到1.45°C、0.96°C和0.72°C。在7月3~6日夜间,四环内IUHI极值均在3.00°C以上,特别是7月6日凌晨达到5.50°C;白天IUHI相对较小,其中2日早晨甚至还出现了负值。城区各地带IUHI日变化规律几乎同步,具有两个相对稳定阶段和两个快速变化阶段。稳定的强IUHI阶段从21:00(北京时间,下同)持续到次日05:00,稳定的弱IUHI阶段从08:00至18:00;05:00至08:00是IUHI快速衰减阶段,而18:00至21:00是IUHI快速上升阶段。因此,城市热岛效应对北京城区夏季单次极端高温过程的强度及其空间分布具有显著影响,在很大程度上加重了城区特别是中心城区的高温影响。     

辽宁省区域性大雾预报研究

通过对1994—2002年9年辽宁区域地面图的普查,得到了辽宁区域性大雾天气(大于等于5个地市,能见度小于0.5 km)共有73次。分析近10年区域性大雾天气过程得到了区域性大雾的时空分布特征。普查区域性大雾过程发生时的常规气象资料,进行区域性大雾天气分型。分析辽宁省各种区域性大雾的成因及要素演变特征,从中提取预报指标,建立预报流程,用PP法建立区域性大雾的客观预报方法。