Application of a sediment quality triad and different statistical approaches (Hasse diagrams and fuzzy logic) for the comparative evaluation of small streams

被引:40
作者
Hollert, H
Heise, S
Pudenz, S
Brüggemann, R
Ahlf, W
Braunbeck, T
机构
[1] Univ Heidelberg, Dept Zool, D-69120 Heidelberg, Germany
[2] Tech Univ Hamburg, Dept Environm Sci & Technol, D-21071 Hamburg, Germany
[3] Inst Freshwater Ecol & Inland Fisheries, D-12561 Berlin, Germany
关键词
sediment quality triad; toxicity; integrated analyses; Hasse diagrams; fuzzy logic;
D O I
10.1023/A:1020597019828
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In order to evaluate the ecotoxicological contamination of 12 aquatic sites in streams within the catchment area of the Neckar River, a sediment quality triad (SQT) approach was applied. In contrast to Chapman's original triad approach, not only sediments, but also surface waters were examined. In brief, to obtain a comprehensive insight into the potential ecotoxicological hazard, both acute toxicity and more specific effects such as mutagenic, genotoxic, teratogenic, dioxin- and estrogen-like responses were recorded. Different statistical methods (ranking, cluster analyses, Hasse diagram techniques, and fuzzy logic) for the evaluation and presentation of the SQT data were compared with respect to the needs of environmental decision-making. Results document advantages and disadvantages of the methods applied for the evaluation and classification of data within the complex data matrixes. The ranking procedure presented as well as the Hasse diagram technique seem to be suitable tools to elucidate the pattern of the ecotoxicological load. However, these classification methods require expert knowledge to interpret the ranking results with respect to decision-making in environmental sciences and policy. In contrast, fuzzy logic allows both to develop site-specific expert systems in order to assess the ecotoxicological burden and to give insight into the pattern of the contamination.
引用
收藏
页码:311 / 321
页数:11
相关论文
共 52 条
[1]  
[Anonymous], SPSS WINDOWS VERSION
[2]  
[Anonymous], ECOSYS
[3]  
Berbner T, 1999, BIOMARKERS, V4, P214, DOI 10.1080/135475099230886
[4]   Concept for an integrated ecological evaluation of running waters [J].
Braukmann, U ;
Pinter, I .
ACTA HYDROCHIMICA ET HYDROBIOLOGICA, 1997, 25 (03) :113-127
[5]   AN ALGEBRAIC GRAPHICAL TOOL TO COMPARE ECOSYSTEMS WITH RESPECT TO THEIR POLLUTION - THE GERMAN RIVER ELBE AS AN EXAMPLE .1. HASSE-DIAGRAMS [J].
BRUGGEMANN, R ;
MUNZER, B ;
HALFON, E .
CHEMOSPHERE, 1994, 28 (05) :863-872
[6]  
Bruggemann R, 1997, J ENVIRON SCI HEAL A, V32, P277
[7]  
BRUGGEMANN R, 1997, TOXICOL ENVIRON CHEM, V63, P125
[8]  
Bruggemann Rainer, 1998, 2098 GSF
[9]   ASSESSING THE TOXICITY OF FRESH-WATER SEDIMENTS [J].
BURTON, GA .
ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 1991, 10 (12) :1585-1627
[10]   USE OF BENTHIC INVERTEBRATE COMMUNITY STRUCTURE AND THE SEDIMENT QUALITY TRIAD TO EVALUATE METAL-CONTAMINATED SEDIMENT IN THE UPPER CLARK-FORK RIVER, MONTANA [J].
CANFIELD, TJ ;
KEMBLE, NE ;
BRUMBAUGH, WG ;
DWYER, FJ ;
INGERSOLL, CG ;
FAIRCHILD, JF .
ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 1994, 13 (12) :1999-2012