文章基本信息

标题：WATER QUALITY IN THE ARTIFICIAL CANAL NETWORK IN THE RENO BASIN (BOLOGNA ITALY)
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作者：Livia Vittori Antisari ; Serena Carbone ; Andrea Simoni 等
期刊名称：EQA - International Journal of Environmental Quality
印刷版ISSN：2281-4485
出版年度：2010
卷号：3
期号：3
页码：49-56
DOI：10.6092/issn.2281-4485/3794
语种：English
出版社：Alma Mater Studiorum - University of Bologna
摘要：The aim was to provide a physical-chemical characterization of river and canal network water in the area of expertise of the ex Bonifica Reno-Palata between the Reno river and Torrent Samoggia. The monitoring started in July 2007 and stopped in November 2009. The work consisted in the collection, almost monthly, of the waters that were subjected to chemical and physical analyses, some in situ (temperature and electrical conductivity) and others at the laboratory (pH, nutrient parameters with Hach-Lange’s colorimetric methods, macro and micro elements by ICP-OES). Data from each analysis were processed using statistical software such as Analysis of Variance (ANOVA), Factor Analysis (FA) Cluster Analysis (CA). The results obtained in the three years of sampling show a very complex reality, with many sources of pollution of the surface waters of the canals. These canals, during their course, are unable to abate the load of pollutants present by the process of self-purification. This leads to a deterioration of water quality in the Reno river, the waters not always being suitable for irrigation. Besides, thanks to the multivariate statistical analysis and in particular to the CA, we were able to identify the stations with greater pollution of their surface water.
其他摘要：The aim was to provide a physical-chemical characterization of river and canal network water in the area of expertise of the ex Bonifica Reno-Palata between the Reno river and Torrent Samoggia. The monitoring started in July 2007 and stopped in November 2009. The work consisted in the collection, almost monthly, of the waters that were subjected to chemical and physical analyses, some in situ (temperature and electrical conductivity) and others at the laboratory (pH, nutrient parameters with Hach-Lange’s colorimetric methods, macro and micro elements by ICP-OES). Data from each analysis were processed using statistical software such as Analysis of Variance (ANOVA), Factor Analysis (FA) Cluster Analysis (CA). The results obtained in the three years of sampling show a very complex reality, with many sources of pollution of the surface waters of the canals. These canals, during their course, are unable to abate the load of pollutants present by the process of self-purification. This leads to a deterioration of water quality in the Reno river, the waters not always being suitable for irrigation. Besides, thanks to the multivariate statistical analysis and in particular to the CA, we were able to identify the stations with greater pollution of their surface water.
关键词：surface waters;pollution;macro and micro elements;analysis of variance;cluster analysis;eaux superficielles;pollution;macro et micro éléments;analyse de la variance;analyse des groupes;acque superficiali;inquinamento;macro e micro elementi;analisi della varianza;analisi dei gruppi
其他关键词：surface waters; pollution; macro and micro elements; analysis of variance; cluster analysis