水中呋喃丹气相色谱-质谱的测定方法研究

建立了气相色谱-质谱联用法测定水中呋喃丹的方法。用二氯甲烷萃取酸性水样中的呋喃丹,浓缩后加入内标苊-d10,采用气-质联用仪中选择离子检测(SIM)模式进行监测,提取目标化合物的特征离子进行定量,该方法灵敏度高,水中呋喃丹的最低检测浓度可达0.05μg/L;准确度好,样品添加回收率在100.5%-111.0%之间;平行5次进行精密度试验,相对标准偏差低于6.21%。结果表明,方法简便、快速、准确、重现性好,适合各种水中呋喃丹的测定。     

影响淀山湖水质变化的因素分析

就１９９６－１９９８年淀册湖全湖水质均值变化情况作了评述,对影响淀山湖水质变化的因素进行了分析和探讨。针对淀山湖水质受到太湖来水水质影响的情况,提出了在今后的工作中进一步加大保护淀册湖水质的建议和措施。     

化学需氧量在造纸废水中分布规律及采样点位的优化

目前对造纸废水的监测通常采取随机取样,很少考虑污染物在废水中的分布情况,所以取得的样品很难反映污染物的实际排放情况。为此,通过对某造纸厂排废废水中化学需氧量分布夫妻及采样点位的优化研究。     

硼氢化钾吹气—分光光度法测定污水中硫化物

污水样品用硼氢化钾片剂酸性氢化反应,使硫化物同酸作用转化为Ｈ２Ｓ,并被氢气吹出,以ＮａＯＨ溶液吸收,再用对氨基二甲基苯胺光度法测定。为了应急监测,研制了ＬＳ－１型硫化物快速测试预装置,配用ＤＲ／２０００型便携式分光光度计,可在现场进行了水中硫化物的快速监测。．     

气相色谱法测定废水和废气中N′,N-二甲基甲酰胺

以气相色谱石英毛细管柱分离、ＦＩＤ检测,测定废水和废气中Ｎ′,Ｎ－二甲基甲酰胺（ＤＭＦ）。在１０ｍｇ／Ｌ～１８８１０ｍｇ／Ｌ范围内有良好的线性关系。检测限：废水为０５ｍｇ／Ｌ;废气为０８ｍｇ／ｍ３。样品测定的相对标准差为４％～８％,回收率在７６％～１１２％之间,精密度和准确度均较好     

Agricultural Chemicals in the Alluvial Aquifer of a Typical County of the Arkansas Delta

Statistical methods and a Geographic Information System (GIS) were used to investigate potential indicators of ground water vulnerability to agricultural chemical contamination in a representative area of the Mississippi River alluvial aquifer. A total of 47 wells were sampled for analysis of nitrate, phosphorus, potassium, and 13 pesticides commonly-used in the area. Ten soil and hydrogeologic variables and five ground water vulnerability indices were examined to explain the variations of chemical concentrations. The results showed that no individual soil or hydrogeologic variables or their linear combinations could explain more than 25% of the variation of the chemical concentrations. A quadratic response surface model with the values of confining unit thickness, slope, soil permeability, depth to ground water, and recharge rate accounted for 62% of the variation of nitrate, 43% of P, and 83% of K, suggesting that the interactions among soil and hydrogeologic variables were significant. Observed trends of decreasing nitrate and P concentrations with increasing well depth and/or depth to ground water seemed to correlate with carbonate equilibrium in the aquifer and more reduced environment with depth. In view of uncertainties involved, it was recognized that the limitations associated with input data resolution used in GIS and the formulation of leaching indices limited their use for predicting ground water vulnerability. Misuse of pesticides could be another factor that would complicate the relationships between pesticide concentrations and the vulnerability indices.     

Physico-Chemical Quality of Drinking Water in Rohtas District of Bihar

Water Quality Survey of Rohtas district of Bihar was conducted. Samples were collected from differentsources and analysed. 209 samples were collectedfrom 196 villages. Results of water quality surveyidentified the problem areas in respect of high iron,manganese, fluoride, nitrate and brackishness of water in the district.     

Assessing Landscape Condition Relative to Water Resources in the Western United States: A Strategic Approach

The Environmental Monitoring and Assessment Program (EMAP) is proposing an ambitious agenda to assess the status of streams and estuaries in a 12-State area of the western United States by the end of 2003. Additionally, EMAP is proposing to access landscape conditions as they relate to stream and estuary conditions across the west. The goal of this landscape project is to develop a landscape model that can be used to identify the relative risks of streams and estuaries to potential declines due to watershed-scale, landscape conditions across the west. To do so, requires an understanding of quantitative relationships between landscape composition and pattern metrics and parameters of stream and estuary conditions. This paper describes a strategic approach for evaluating the degree to which landscape composition and pattern influence stream and estuary condition, and the development and implementation of a spatially-distributed, landscape analysis approach.     

Responses of Physical, Chemical, and Biological Indicators of Water Quality to a Gradient of Agricultural Land Use in the Yakima River Basin, Washington

The condition of 25 stream sites in the Yakima River Basin, Washington, were assessed by the U.S. Geological Survey's National Water-Quality Assessment Program. Multimetric condition indices were developed and used to rank sites on the basis of physical, chemical, and biological characteristics. These indices showed that sites in the Cascades and Eastern Cascades ecoregions were largely unimpaired. In contrast, all but two sites in the Columbia Basin ecoregion were impaired, some severely. Agriculture (nutrients and pesticides) was the primary factor associated with impairment and all impaired sites were characterized by multiple indicators of impairment. All indices of biological condition (fish, invertebrates, and algae) declined as agricultural intensity increased. The response exhibited by invertebrates and algae suggested a threshold response with conditions declining precipitously at relatively low levels of agricultural intensity and little response at moderate to high levels of agricultural intensity. This pattern of response suggests that the success of mitigation will vary depending upon where on the response curve the mitigation is undertaken. Because the form of the community condition response is critical to effective water-quality management, the National Water-Quality Assessment Program is conducting studies to examine the response of biota to gradients of land-use intensity and the relevance of these responses to water-quality management. These land-use gradient pilot studies will be conducted in several urban areas starting in 1999.     

Using Multi-Scale Sampling and Spatial Cross-Correlation to Investigate Patterns of Plant Species Richness

Land managers need better techniques to assess exoticplant invasions. We used the cross-correlationstatistic, I _YZ, to test for the presence ofspatial cross-correlation between pair-wisecombinations of soil characteristics, topographicvariables, plant species richness, and cover ofvascular plants in a 754 ha study site in RockyMountain National Park, Colorado, U.S.A. Using 25 largeplots (1000 m²) in five vegetation types, 8 of 12variables showed significant spatial cross-correlationwith at least one other variable, while 6 of 12variables showed significant spatial auto-correlation. Elevation and slope showed significant spatialcross-correlation with all variables except percentcover of native and exotic species. Percent cover ofnative species had significant spatialcross-correlations with soil variables, but not withexotic species. This was probably because of thepatchy distributions of vegetation types in the studyarea. At a finer resolution, using data from ten1 m² subplots within each of the 1000 m² plots, allvariables showed significant spatial auto- andcross-correlation. Large-plot sampling was moreaffected by topographic factors than speciesdistribution patterns, while with finer resolutionsampling, the opposite was true. However, thestatistically and biologically significant spatialcorrelation of native and exotic species could only bedetected with finer resolution sampling. We foundexotic plant species invading areas with high nativeplant richness and cover, and in fertile soils high innitrogen, silt, and clay. Spatial auto- andcross-correlation statistics, along with theintegration of remotely sensed data and geographicinformation systems, are powerful new tools forevaluating the patterns and distribution of native andexotic plant species in relation to landscape structure.