亚洲大陆2000～2002年春季大气沙尘时空特征的数值模拟

将矿物沙尘释放与沉降模式和全球大气化学传输模式相耦合,建立了一个能够完整描述沙尘的扬起、输送和沉降动态过程的模式系统,并利用实时气象资料强迫该模式,对2000、2001和2002年春季(3～5月)亚洲大气沙尘时空特征进行了数值模拟研究.结果表明,模拟的3年春季平均大气柱沙尘浓度分布与地面观测的3年春季平均沙尘暴频率分布范围基本吻合,模拟的沙尘气溶胶光学厚度与卫星观测的气溶胶指数具有显著的相关性,验证了该模式对亚洲沙尘的扬起、传输和沉降过程及大气沙尘载荷时空特征有较好的模拟能力,并基于模拟的沙尘释放通量与沙尘气溶胶光学厚度的相关分析,探讨了亚洲沙尘可能的传输路径.     

Benchmarking Optical/Thermal Satellite Imagery for Estimating Evapotranspiration and Soil Moisture in Decision Support Tools

Generally, one expects evapotranspiration (ET) maps derived from optical/thermal Landsat and MODIS satellite imagery to improve decision support tools and lead to superior decisions regarding water resources management. However, there is lack of supportive evidence to accept or reject this expectation. We “benchmark” three existing hydrologic decision support tools with the following benchmarks: annual ET for the ET Toolbox developed by the United States Bureau of Reclamation, predicted rainfall‐runoff hydrographs for the Gridded Surface/Subsurface Hydrologic Analysis model developed by the U.S. Army Corps of Engineers, and the average annual groundwater recharge for the Distributed Parameter Watershed Model used by Daniel B. Stephens & Associates. The conclusion of this benchmark study is that the use of NASA/USGS optical/thermal satellite imagery can considerably improve hydrologic decision support tools compared to their traditional implementations. The benefits of improved decision making, resulting from more accurate results of hydrologic support systems using optical/thermal satellite imagery, should substantially exceed the costs for acquiring such imagery and implementing the remote sensing algorithms. In fact, the value of reduced error in estimating average annual groundwater recharge in the San Gabriel Mountains, California alone, in terms of value of water, may be as large as $1 billion, more than sufficient to pay for one new Landsat satellite.     

A soil sampling intercomparison exercise for the ALMERA network

Soil sampling and analysis for radionuclides after an accidental or routine release is a key factor for the dose calculation to members of the public, and for the establishment of possible countermeasures. The IAEA organized for selected laboratories of the ALMERA (Analytical Laboratories for the Measurement of Environmental Radioactivity) network a Soil Sampling Intercomparison Exercise (IAEA/SIE/01) with the objective of comparing soil sampling procedures used by different laboratories. The ALMERA network is a world-wide network of analytical laboratories located in IAEA member states capable of providing reliable and timely analysis of environmental samples in the event of an accidental or intentional release of radioactivity. Ten ALMERA laboratories were selected to participate in the sampling exercise. The soil sampling intercomparison exercise took place in November 2005 in an agricultural area qualified as a “reference site”, aimed at assessing the uncertainties associated with soil sampling in agricultural, semi-natural, urban and contaminated environments and suitable for performing sampling intercomparison. In this paper, the laboratories sampling performance were evaluated.     

塔克拉玛干沙漠和青藏高原地区沙尘气溶胶光学特性及其加热率的时空分布特征

沙尘不同的垂直分布对大气的加热作用不同,通过卫星观测结合数值模拟,可以更清楚地了解沙尘辐射加热作用,有利于理解沙尘对该地区大气热结构的影响机制.因此,本研究利用CALIPSO气溶胶产品和SBDART模式,分析了2007—2020年塔克拉玛干沙漠和青藏高原沙尘气溶胶及其短波加热率的时空分布特征.结果表明,塔克拉玛干沙漠和青藏高原的年平均沙尘气溶胶光学厚度（DAOD,532 nm）分别为0.300～0.350和0.086～0.108,平均值分别为0.328和0.097.塔克拉玛干沙漠季节平均DAOD的最大、最小值分别出现在春季和冬季,而青藏高原的最大、最小值分别出现在夏季和秋季.塔克拉玛干沙漠和青藏高原的沙尘消光系数（σD）最大值分别出现在春季和夏季.2007—2020年,两地的σD在春季均呈增加趋势,而在秋季则呈减小趋势.春季和夏季的短波沙尘加热率（SW DHR）均大于其它两个季节,其中春季最大,塔克拉玛干沙漠上空冬季最弱,青藏高原上空秋季最弱.春夏季,青藏高原北坡存在较强沙尘加热层,其顶部高于5 km,其强度及高值区从春季到冬季逐渐减小.从年变化来看,春季短波加热率呈加强趋势,秋季呈减...     

清河流域水质目标管理技术应用示范

针对清河流域三级水生态功能分区功能定位和水质保护目标,按照"分类、分区、分级、分期"理念,应用流域水质目标管理技术方法,研究清河流域控制单元污染负荷核定、水环境容量计算与分配、污染负荷削减、污染物总量控制等关键技术应用示范,完善流域水质目标管理技术,为清河流域水环境管理提供科技支撑。     

我国水环境有机物分析前处理技术

介绍了我国水环境有机物分析中常用的前处理技术,包括液液萃取、树脂吸附、固相萃取、固相微萃取、液膜萃取、半透膜被动采样、顶空、吹扫-捕集等,归纳了各种方法的原理、应用及优缺点,并对环境中有机污染物前处理技术的发展方向进行了展望。     

色谱、光谱及联用技术在多农药残留检测中的应用

介绍了国内外多农药残留检测的发展状况,综述了色谱法、光谱法、色谱-质谱联用技术、色谱-光谱联用法、多维气相色谱技术的特点及在多农药残留检测中的应用,指出多农药残留检测在今后的农药残留检测中将占据主导地位.     

遥感技术在灰霾监测中的应用综述

介绍了灰霾遥感监测的基本原理,论述了基于图像变换的TC法、HOT法和基于反演气溶胶光学厚度的灰霾遥感监测技术,以及造成灰霾天气的秸秆燃烧遥感监测方法.指出卫星遥感技术可以提供大尺度、长时间序列的污染物时空分布特征和变化趋势,以及全球性的大气环境综合遥感数据,是灰霾监测与综合治理的重要途径.     

西安市及周边地区MODIS气溶胶光学厚度与PM10浓度关系模型研究

西安是空气污染监控和防治有代表性的西部大型城市。研究了西安市及周边地区上空气溶胶光学厚度与PM10浓度的关系模型。利用2011—2012年MODIS卫星气溶胶光学厚度（AOD）遥感产品,通过数据匹配,利用地面气象观测站点的能见度数据和相对湿度数据对AOD产品进行垂直标高订正和湿度订正,2项订正显著提高了AOD和地面PM10浓度的相关性,相关系数从0．36提高到0．65,按季节分类统计和订正春至冬四季的相关系数分别为0．57、0．71、0．62和0．87,夏季和冬季的订正更为有效,可用性更高,这可能由于受到不同季节气溶胶来源和特征的影响。为研究中国西部大型城市,特别是西安市空气环境监测和区域联防联控提供了一种有效方法。     

Carbon nanotubes as sorbents in the analysis of pesticides

With increasing public concerns for agrochemicals and their potential movement in the ecosystem, very sensitive, selective and precise methods for the analysis of pesticides are needed. Because these substances are present usually at trace levels, the extraction and preconcentration steps are so far essential for their detection. Discoveries of novel nanomaterials with unique properties have significant impact on their use also in extraction techniques. This overview reports the recent application of carbon nanotubes in the analysis of pesticides. The largest numbers of reported applications of carbon nanotubes concern their role as a sorbent materials in solid-phase extraction and microextraction techniques.