填埋场内水分运移过程双场耦合模型的探讨

基于多孔介质渗流力学和热力学理论，从填埋场内非等温的角度，理论上分析了场内垃圾含水率的分布与温度变化之间相互作用的机理，建立了垃圾填埋场内水分运移过程的双场耦合模型（三维），并提出模型的求解方法。为研究填埋场内水分的时空分布规律提供理论依据。     

室内火灾温度的预测方法及其分析

室内火灾温度是火灾科学中非常重要的参数之一，它对火灾防护有着重要的作用。本文以轰燃为分界点，总结归纳了目前国际上采用的轰燃前后室内火灾温度的预测方法。对每一种方法的使用条件及优缺点作了分析。同时对轰燃前后的各种温度预测方法分别作了简要的对比。最后根据前面的分析推荐了作者认为实用性较强的几种方法．     

哈尔滨等几个城市气候变化的对比分析

应用距平分析和Morlet小波变换方法对哈尔滨、石家庄、武汉、广州等4个城市1951—2004年的年均气温和夏季降水进行了对比分析，结果发现，这4个城市：（1）近50多a来气温基本上都是呈逐渐升温趋势，升温幅度都在1℃以上，其中哈尔滨的气温年变化比其他3个城市剧烈；（2）气温年代际演变特征非常明显，存在10～25a尺度的变化，在20世纪80年代前期发生气候突变；（3）近50多a夏季降水变化趋势不太一致，在空间分布上表现为波列特征；（4）夏季降水年代际变化特征非常明显，都存在10a左右尺度变化；（5）降水变化趋势与气温变化趋势不一致。     

大空间中热隐患的可视化监测

在无人值守的情形下,实现对大型建筑空间内发热物体、火灾等热隐患的智能监测是非常必要的,笔者基于已有的研究成果,讨论了大空间热隐患监测中,高温目标的可视化甄别和温度场的可视化测量原理。利用CCD(电荷耦合器件)的近红外响应特性(800~1200nm)、短波段内单调发射率函数、非相关滤色片构造和归一化数据处理模式等关键技术,使得常见的CCD图像监控设备实现了高温热隐患的非接触、可视化智能监测(即包括高温目标的可视化甄别以及温度场的可视化测量),改进的设备有望推广应用。     

二甲亚砜热稳定性的实验研究

采用先进的绝热加速量热仪为手段,对二甲亚砜的热稳定性进行了系统研究,其内容涉及纯二甲亚砜的热稳定性、加酸碱和硫化物等杂质后二甲亚砜的热稳定性,包括初始放热温度、温升速率、温度-压力等;通过修正试验数据,消除了热惰性因子的影响;得到了二甲亚砜的热稳定性特性。研究表明,在酸、碱存在时,二甲亚砜在室温下即可发生强烈的放热反应,导致二甲亚砜的分解温度提前。该实验研究结果,对二甲亚砜的安全生产工艺过程控制具有重要参考价值。     

细水雾阻隔火焰热辐射的模拟研究

从热辐射传递方程出发，根据Mie散射理论,考虑雾滴对热辐射的散射和吸收特性，建立细水雾阻隔火焰热辐射的两通量模型，并给出简化算法；同时建立小尺度模拟实验系统，对理论模型进行验证。结果表明，两通量模型较为合理地预测了细水雾对火焰热辐射的衰减作用。在此基础上，应用上述理论模型进一步探讨火焰温度、细水雾特性参数、雾场厚度对阻隔热辐射效率的影响，为细水雾系统的实际工程应用提供了理论和依据。     

利用高温废气治理焦化酚氰污水项目实践

阐述了利用焦炉、窑炉、电厂等高温废气处理焦化污水的理论及工业实践,该工艺具有投资省、运行费用低的突出优点.     

基于面积统计的震后烈度评估

选取了较为典型的历史震例,并将这些震例的等震线图数字化.利用这些等震线图数据,直接统计出地震参数和震后不同烈度面积之间的关系,并将该关系和烈度衰减几何模型结合起来,反演震后烈度的具体分布形状,以进行震后烈度分布的预测.     

MODELING LIGHT ATTENUATION,SECCHI DISK,AND EFFECTS OF TRIPTON IN SENACA RIVER,NEW YORK,USA1

The development, testing, and application of a probabilistic model framework for the light attenuation coefficient for downwelling irradiance (K_d) and Secchi disc transparency (SD) that resolves the effects of several light attenuating constituents, including phytoplankton and nonliving particles (tripton), is documented. The model is consistent with optical theory, partitioning the magnitudes of the light attenuating processes of absorption and scattering according to the contributions of attenuating constituents as simple summations. The probabilistic framework accommodates variations in the character and concentrations of these constituents and ambient conditions during measurements, and recognizes a linear relationship between the magnitudes of absorption and scattering by tripton. The model is tested and applied for a 21 km reach of the Seneca River, New York, that features optical gradients caused by an intervening hypereutrophic lake and dam, and a severe infestation of the exotic zebra mussel. The model is applied to resolve the roles of phytoplankton and tripton in regulating measured longitudinal patterns of SD along the study reach of the river and increases in SD since the zebra mussel invasion, and to predict decreases in K_d since the invasion.     

ACCURACY OF LAKE AND STREAM TEMPERATURES ESTIMATED FROM THERMAL INFRARED IMAGES1

Emitted thermal infrared radiation (TIR, λ= 8 to 14 μm) can be used to measure surface water temperatures (top approximately 100 μm). This study evaluates the accuracy of stream (50 to 500 m wide) and lake (300 to 5,000 m wide) radiant temperatures (15 to 22°C) derived from airborne (MASTER, 5 to 15 m) and satellite (ASTER 90 m, Landsat ETM+ 60 m) TIR images. Applied atmospheric compensations changed water temperatures by ?0.2 to +2.0°C. Atmospheric compensation depended primarily on atmospheric water vapor and temperature, sensor viewing geometry, and water temperature. Agreement between multiple TIR bands (MASTER ‐ 10 bands, ASTER ‐ 5 bands) provided an independent check on recovered temperatures. Compensations improved agreement between image and in situ surface temperatures (from 2.0 to 1.1°C average deviation); however, compensations did not improve agreement between river image temperatures and loggers installed at the stream bed (from 0.6 to 1.6°C average deviation). Analysis of field temperatures suggests that vertical thermal stratification may have caused a systematic difference between instream gage temperatures and corrected image temperatures. As a result, agreement between image temperatures and instream temperatures did not imply that accurate TIR temperatures were recovered. Based on these analyses, practical accuracies for corrected TIR lake and stream surface temperatures are around 1°C.