首页> 外文期刊>Journal of environmental monitoring: JEM >Trend, seasonal and multivariate modelling study of wet precipitation data from the Austrian Monitoring Network (1990-1997)
【24h】

Trend, seasonal and multivariate modelling study of wet precipitation data from the Austrian Monitoring Network (1990-1997)

机译:来自奥地利监测网(1990-1997年)的湿降水数据的趋势,季节和多元建模研究

获取原文
获取原文并翻译 | 示例
           

摘要

The aim of the present stud was to analyse the data structure of a large data set from rainwater samples collected during a long-term interval (1990-1997) by the Austrian Precipitation Monitoring Network. Eleven sampling sites from the network were chosen as data sources (chemical concentrations of major ions only) covering various location characteristics (height above sea level, rural and urban sampling positions, Alpine rim and Alpine valley disposition, etc.). The analytical results were treated by the application of already classical environmetric approaches, such as linear regression analysis, time-series analysis and principal components analysis (PCA). For most of the sampling sites, a distinct trend of acidity decrease of the wet precipitation was observed. An overall decrease in sulfate concentration for the whole period and all sites of 3.9% year~(-1) (2.0 μequiv. L~(-1) year~(-1)) was found. The free acidity decrease for most of the sites was between 3.5 and 10.9% year~(-1). No significant linear trends were found for nitrate. Base cations either decreased (mean percentage decrease for calcium was 5.4% year~(-1) and for magnesium 4.4% year~(-1)) or did not show any significant change (sodium, potassium). The overall decrease in ammonium concentration was 2.3% year~(-1). Further, some typical "rural" (summer minima and winter maxima) and "urban" (winter minima and spring maxima) seasonal behaviour for the majority of the sites in consideration could be defined. Indicating the influence of local emission sources. Several latent factors, named "anthropogenic", "crustal" and "mixed salt", were revealed by the multivariate modelling procedure (PCA) possessing a similar structure for most of the sites. The unavoidable exceptions observed were indications of the influence of sporadic local events (construction and agricultural activities, secondary emission sources, etc.) and an effort was made to explain these exceptions.
机译:本研究的目的是分析奥地利降水监测网络长期(1990-1997年)收集的雨水样本中的大数据集的数据结构。从网络中选择了11个采样点作为数据源(仅主要离子的化学浓度),这些数据点涵盖了各种位置特征(海拔高度,农村和城市采样位置,高山边缘和高山山谷分布等)。通过使用经典的环境方法(例如线性回归分析,时间序列分析和主成分分析(PCA))来处理分析结果。对于大多数采样点,观察到湿沉淀酸度下降的明显趋势。发现整个时期和所有场所的硫酸盐浓度总体下降了3.9%(〜-1)年(-1。L-1。(-1)年)。大部分位点的游离酸度降低在3.5-10.9%(-1)年之间。硝酸盐没有发现明显的线性趋势。碱性阳离子减少(钙的平均百分比减少量为(-1)年(-1),镁的平均百分比减少量为(-1)年4.4%)或没有显示任何显着变化(钠,钾)。铵浓度的总体下降为2.3%年(-1)。此外,可以定义考虑的大多数地点的一些典型的“农村”(夏季最小值和冬季最大值)和“城市”(冬季最小值和春季最大值)季节性行为。指示本地排放源的影响。多元建模程序(PCA)揭示了许多潜在因素,分别是“人为”,“结壳的”和“混合盐”,其中大多数站点具有相似的结构。观察到的不可避免的例外情况表明了零星的局部事件(建筑和农业活动,二次排放源等)的影响,并努力解释了这些例外情况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号