乾安地区盐碱地显热通量的测量

文中给出了用大孔径闪烁仪在 2 0 0 0年生长季观测到的盐碱地区显热通量的主要结果 ,并初步计算了当地的水热平衡状况。结果表明 :乾安盐碱地区显热通量占净辐射量的百分比在干旱、非生长季达到 6 5 % ,在多雨、植被生长季仅为 11% ;显热通量因降水而明显降低 ,幅度与降水强度有关 ,反映了当地的气候和土壤特征。文中还把LAS的测量结果与传统的梯度法作了比较 ,结果基本一致。     

青藏高原东部牧区雪灾的环流型及水汽场分析

冬、春季雪灾是青藏高原东部牧区重要的灾害性天气。本文利用历史天气图和国家气象中心T106L19全球模式的分析值格点资料，分析了青藏高原东部牧区近20年来冬，冬季降雨的天气形势和水汽场。结果表明，北脊南槽型、乌山脊型、阶梯槽型和国境槽型是造成高原东部牧区降雪的四类主要环流型；在高原东部牧区强降雪天气过程时气柱可降水量有明显增加，记要降雪区与水汽通量辐合区吻合，主要水汽来自孟加拉湾地区。     

地磁场与气候变化关系的新探索

对地磁场与气候变化的统计研究早已表明，二者有很好的相关关系。本文的目的是对它们的关系给出一种可能的物理解释。利用近600年的地磁场模型资料和全球平均温度序列分析了两者变化的关系，发现它们有很好的对应，且地磁场变化超前于全球气温变化。从地磁场的变化来看，21世纪初全球变暖的趋势应该减缓。文中对地表浅层热场（地热带、火山和地温场）的分布特征与地球内部软流圈－岩石圈边界上焦耳热场的分布特征进行了对比分析。结果表明，地表浅层热场与地球深层焦耳热的分布有很好的对应关系，这可能暗示地表浅层热场是地球深层焦耳热的反映，地磁场通过焦耳热的不断释旋影响气候变化。     

典型干旱地区陆面特征的模拟及分析

运用NCAR -LSM (Landsurfacemodel)模式对典型干旱区—沙漠站进行了独立试验 (Off line) ,检验了LSM模式在典型干旱地区的性能 ,并分析了典型干旱地区的陆面特征。结果表明 :LSM模式对干旱地区有较好的模拟性能。在不同的季节 ,典型干旱地区的感热和潜热有着不同的特征 ,4月份的感热通量较大 ,约为 4 0 0W·m-2 ;1月和 8月相对较小 ,约为 2 30W·m-2 。 1月和 4月的潜热通量很小 ,约为 4～ 6W·m-2 ,可以忽略 ;但 8月份的潜热通量大 ,平均最大约为 12 0W·m-2 ,当有降水发生时 ,潜热通量可达 5 70W·m-2 ,与感热通量相当。     

体感温度的研究及业务化应用

体感温度是人们对环境温度的综合反应，与人的生活需求密切相关。本文就其概念、研究意义和方法进行了阐述，并结合乌鲁木齐地区的气候特点，提出了符合本地区的体感温度的经验公式并实现业务化应用。     

Determination of Area-Averaged Water Vapour Fluxes with Large Aperture and Radio Wave Scintillometers over a Heterogeneous Surface – Flevoland Field Experiment

A large aperture scintillometer (LAS) andradio wave scintillometer (RWS)were installed over a heterogeneous areato test the applicability of the scintillation method.The heterogeneity in the area, whichconsisted of many plots, was mainly caused bydifferences in thermal properties ofthe crops; the variations in theaerodynamic roughness lengthwere small. The water vapour fluxesderived from the combined LAS-RWSsystem, also known as the two-wavelengthmethod, agreed fairly well with the aggregatedwater vapour fluxes derived from in-situeddy covariance measurements. The water vapourfluxes derived from a stand-alone LASare also presented. It was found that a single LASand an estimate of the area averagedavailable energy (using a simple parameterisationscheme) can provide also reasonablearea-averaged water vapour fluxes.     

中国西北部盆地岩石热导率和生热率特征

本文根据大量实测数据,首次系统地报道了中国西北地区塔里木盆地、准噶尔盆地和柴达木盆地内的岩石热导率、岩石放射性生热率数据及其分布特征.对600多个岩石热导率和100多个实测岩石生热率的统计分析表明,沉积盆地中岩石的热物理性质与其岩性、埋藏深度和地层时代密切相关.随深度和地层时代的加大,岩石热导率增大;塔里木盆地的岩石热导率的总体平均值最大,而柴达木盆地的最小.岩石生热率在上地壳的分布是随深度的增加而减小的,但在沉积盆地的深度范围内几乎不变,其分布是均匀的,仅不同岩性的生热率差别较大.估算的岩石放射性生热产生的热量可以占到盆地地表热流的25%～45%.因此,岩石热物理性质的参数不仅与盆地的地温分布和大地热流特征密切相关,还可以为该地区盆地热历史恢复及深部地球物理的研究提供有效的参数和边界条件.     

A New Model for Heat Flow in Extensional Basins: Estimating Radiogenic Heat Production

Radiogenic heat production (RHP) represents a significant fraction of surface heat flow, both on cratons and in sedimentary basins. RHP within continental crust—especially the upper crust—is high. RHP at any depth within the crust can be estimated as a function of crustal age. Mantle RHP, in contrast, is always low, contributing at most 1 to 2 mW/m² to total heat flow. Radiogenic heat from any noncrystalline basement that may be present also contributes to total heat flow. RHP from metamorphic rocks is similar to or slightly lower than that from their precursor sedimentary rocks. When extension of the lithosphere occurs—as for example during rifting—the radiogenic contribution of each layer of the lithosphere and noncrystalline basement diminishes in direct proportion to the degree of extension of that layer. Lithospheric RHP today is somewhat less than in the distant past, as a result of radioactive decay. In modeling, RHP can be varied through time by considering the half lives of uranium, thorium, and potassium, and the proportional contribution of each of those elements to total RHP from basement. RHP from sedimentary rocks ranges from low for most evaporites to high for some shales, especially those rich in organic matter. The contribution to total heat flow of radiogenic heat from sediments depends strongly on total sediment thickness, and thus differs through time as subsidence and basin filling occur. RHP can be high for thick clastic sections. RHP in sediments can be calculated using ordinary or spectral gamma-ray logs, or it can be estimated from the lithology.