小海湾沉积物中有机氯农药的浓度水平和分布特征

用GC/ECD法测定了小海地区上下层沉积物中17种有机氯农药的浓度水平和分布特征.结果表明:小海湾上层OCPs含量明显高于下层,且大致呈现由内湾至人海口先增后减的分布特征,入海口处含量的突增可能与泻湖的特殊地理构造有关;DDTs类有机氯农药在内湾的降解程度明显强于人海口地区,α-HCH/γ-HCH比值均处于0～4之间,认为沉积物中HCHs来源于林丹和工业HCH;DDTs含量水平低于厦门湾海域、澳门河口等经济发达地区,高于泉州湾、莱州湾等半敞口型海湾;HCHs含量远低于厦门湾、泉州湾及莱州湾.     

新疆地表水水质现状分析

以2008年新疆环保系统的水质例行监测结果为基础,分析了新疆地表水水质现状。结果显示,全疆57条监测河流Ⅰ～Ⅲ类优良水质断面比例为81．9％,29座监测湖库Ⅰ～Ⅲ类优良水质比例为55．2％,总体上全疆地表水污染尚不严重,水质污染主要集中在少数流经城市河流的下游河段以及尾间湖和纳污水库,且不同区域间的水体污染程度和比例存在一定差别。     

高效液相色谱法快速测定水中苦味酸

采用高效液相色谱法,研究了水中苦味酸的快速测定方法,优化了液相色谱的各项分析条件。结果表明,流动相为甲醇:水(0.01%三氯乙酸)(体积比45:55)、柱温40℃、检测波长350 nm为最佳的检测条件,在最佳检测条件下,苦味酸的检出限为0.4 μg/L。地表水和地下水高、中、低3种浓度的加标回收率均在88%以上,相对标准偏差(RSD)均小于5%,污水的加标回收率为71%~90%,RSD为7.9%。     

京杭运河常州段泥水界面无机氮交换过程模拟研究

分别在枯水期、平水期、丰水期利用原柱样静态释放实验对京杭运河常州段4个点位的无机氮界面交换过程进行模拟,并借助模拟结果对运河不同形态氮的界面循环过程进行了初步探讨。结果表明,全年NH+4N界面交换特征均表现为底泥向上覆水体释放,平均交换速率比较结果为平水期[182.3mg/(m2·d)]>丰水期[94.0mg/(m2·d)]>枯水期[29.5mg/(m2·d)],而底泥污染严重的下游点位释放通量高于其他断面;丰水期底泥为上覆水NO-3N的源,平水期和丰水期则成汇,且平水期底泥平均吸附速率若为枯水期的6倍;全年NO-2N交换过程表现底泥吸附的特征,枯水期交换速率极低,全年底泥DIN(总无机氮)输入量>输出量,底泥对高浓度上覆水NO-3N的吸附作用可能是底泥污染逐渐加重的原因。     

浅谈地表水重金属污染监测现状及对策

介绍了重金属污染的现状及危害,并分析了国内外重金属监测现状.阐述当前地表水重金属监测的主要方法和原理,指出地表水重金属监测工作存在的主要问题,并对重金属监测工作提出了对策和建议.     

地表水中四乙基铅分析方法及样品保存

在文献调研基础上对地表水中四乙基铅的色谱法、光度法和光谱法适用情况,萃取、消解和浓缩等不同前处理方法对分析结果的影响以及样品保存条件进行了验证和研究。结果表明,测定水中四乙基铅的光谱和色谱方法均有其适用的特点,可以满足不同条件的实验室和水样的分析,改进后的双硫腙方法检出限可达到1.5μg/L,精密度15%,回收率88%~110%;ICP-MS法检出限可达0.01μg/L,精密度6%,回收率95%~101%;液液萃取-GC-MS检出限达0.1μg/L,精密度12%,回收率65%~78%;自动顶空-气相色谱法检出限可达0.05μg/L,精密度3%,回收率98%~100%;浓缩较消解和萃取更容易造成四乙基铅的损失;没有保护剂的条件下四乙基铅最好在8 h内分析完毕,加入甲醇和NaCl可以使采用顶空分析的样品保存3 d。其他不同保护剂的保存效果有待进一步研究。     

基于Landsat-8数据和劈窗算法的地表温度反演及城市热岛效应研究

陆地表面温度(Land Surface Temperature,LST)是地表能量平衡组分中的一个重要参数。随着卫星遥感技术的快速发展,遥感反演成为获取区域LST的一个重要手段。目前已有学者提出多种基于遥感数据反演LST的算法,其中劈窗算法被证明是一种精度较高的算法。基于Landsat-8卫星30 m空间分辨率的陆地成像仪(OLI)数据和100 m分辨率的热红外传感器(TIRS)数据,采用劈窗算法计算了无锡地区的LST,并采用地面实测水温数据和同步的MODIS温度产品对Landsat-8的计算结果进行了验证和对比分析。结果表明:基于Landsat-8数据和劈窗算法获取的LST精度较高,误差1K。在计算的LST结果基础上,进一步提取了热场变异指数来分析城市热岛空间分布特征,给出了城市热岛效应的定量化描述,并就不同地表覆盖类型对热岛效应的影响进行了分析。     

Modeling Runoff Response to Land Cover and Rainfall Spatial Variability in Semi-Arid Watersheds

Hydrologic response is an integrated indicator of watershed condition, and significant changes in land cover may affect the overall health and function of a watershed. This paper describes a procedure for evaluating the effects of land cover change and rainfall spatial variability on watershed response. Two hydrologic models were applied on a small semi-arid watershed; one model is event-based with a one-minute time step (KINEROS), and the second is a continuous model with a daily time step (SWAT). The inputs to the models were derived from Geographic Information System (GIS) theme layers of USGS digital elevation models, the State Soil Geographic Database (STATSGO) and the Landsat-based North American Landscape Characterization classification (NALC) in conjunction with available literature and look up tables. Rainfall data from a network of 10 raingauges and historical stream flow data were used to calibrate runoff depth using the continuous hydrologic model from 1966 to 1974. No calibration was carried out for the event-based model, in which six storms from the same period were used in the calculation of runoff depth and peak runoff. The assumption on which much of this study is based is that land cover change and rainfall spatial variability affect the rainfall-runoff relationships on the watershed. To validate this assumption, simulations were carried out wherein the entire watershed was transformed from the 1972 NALC land cover, which consisted of a mixture of desertscrub and grassland, to a single uniform land cover type such as riparian, forest, oak woodland, mesquite woodland, desertscrub, grassland, urban, agriculture, and barren. This study demonstrates the feasibility of using widely available data sets for parameterizing hydrologic simulation models. The simulation results show that both models were able to characterize the runoff response of the watershed due to changes of land cover.     

Standardisation of Temperature Observed by Automatic Weather Stations

Daily mean, maximum and minimum surface airtemperature data were gathered from a network ofautomatic weather stations (AWS) within the Moor HouseNational Nature Reserve in northern England. Five AWSwere installed next to the official EnvironmentalChange Network weather station at Moor House. Datawere compared graphically and correction constantswere calculated to adjust data from each AWS to thestandard of the official station by optimising theconcordance correlation coefficient. Each correctedstation was re-located next to one of five in-situstations in and around the reserve, allowingcorrection of all temperature sensors to a commonstandard. The mean error associated with measureddaily mean, maximum and minimum temperature for eachsensor does not exceed ±0.2 K. The procedurequantifies a source of systematic measurement error,improving the identification of spatial temperaturedifferences between stations.     

地表水中敌百虫测定技术难点探讨

地表水中敌百虫的测定,在样品采集保存、前处理及仪器分析各阶段都存在一定的技术难点。实际分析时很容易出现测定结果不理想,甚至是定性定量错误等诸多问题。对敌百虫分析中可能出现的问题及解决途径进行了综述,为地表水中敌百虫的准确测定提供重要的参考依据。