scholarly journals Chemical-physical and ecological characterisation in the environmental project of a polluted coastal area: the Bagnoli case study

2003 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
I. BERGAMIN ◽  
E. ROMANO ◽  
M. GABELLINI ◽  
A. AUSILI ◽  
M.G. CARBONI
Keyword(s):  
Statistical Approach ◽  
Anthropogenic Pollution ◽  
Single Species ◽  
Environmental Research ◽  
Industrial Plant ◽  
Tyrrhenian Sea ◽  
Good Tolerance ◽  
Composition And Structure ◽  
Southern Tyrrhenian Sea

The Bagnoli Bay (southern Tyrrhenian Sea, Naples, Italy) has been impacted for about one century by heavy anthropogenic pollution due to an important steel plant. A multidisciplinary environmental research, aimed at the reclamation of the marine contaminated area, was planned in order to evaluate, through quantitative data, the chemical-physical and ecological characteristics of marine sediments; the latter ones are strictly related to the composition and structure of benthic foraminiferal assemblages. A comprehensive statistical approach, considering all data, was attempted in order to single out the influence of pollutants on the single species distribution. The results show strong heavy metal pollution (Fe, Mn, Pb and Zn) in the vicinity of the industrial plant. Many foraminiferal species (Haynesina germanica, Miliolinella subrotunda,Quinqueloculina parvula), have a good tolerance to some trace metals while, Bulimina sublimbata, Elphidiummacellum and Miliolinella dilatata show a good tolerance to PAHs pollution.

Impact of historical contamination on meiofaunal assemblages: The case study of the Bagnoli-Coroglio Bay (southern Tyrrhenian Sea)

2020 ◽  
Vol 156 ◽  
pp. 104907 ◽  
Author(s):  
C. Gambi ◽  
A. Dell’Anno ◽  
C. Corinaldesi ◽  
M. Lo Martire ◽  
L. Musco ◽  
...  
Keyword(s):  
Tyrrhenian Sea ◽  
Southern Tyrrhenian Sea

Statistical approach for describing failures and lifetimes of water mains

1998 ◽  
Vol 38 (6) ◽  
pp. 209-217 ◽  
Author(s):  
Jianhua Lei ◽  
Sveinung Sægrov
Keyword(s):  
Data Base ◽  
Ductile Iron ◽  
Counting Process ◽  
Statistical Approach ◽  
Process Models ◽  
Average Lifetime ◽  
Maintenance Practice ◽  
Water Mains ◽  
Near Future

This paper demonstrates the statistical approach for describing failures and lifetimes of water mains. The statistical approach is based on pipe inventory data and the maintenance data registered in the data base. The approach consists of data pre-processing and statistical analysis. Two classes of statistical models are applied, namely counting process models and lifetime models. With lifetime models, one can estimate the probability which a pipe will fail within a time horizon. With counting process models one can see the deteriorating (or improving) trend in time of a group of “identical” pipes and their rates of occurrence of failure (ROCOF). The case study with the data base from Trondheim municipality (Norway) demonstrates the applicability of the statistical approach and leads to the following results: 1). In the past 20 years, Trondheim municipality has experienced approximately 250 to 300 failures per year. However, the number of failures per year will significantly increase in the near future unless better maintenance practice is implemented now. 2). Unprotected ductile iron pipes have a higher probability of failures than other materials. The average lifetime of unprotected ductile iron pipes is approximately 30 to 40 years shorter than the lifetime of a cast iron pipe. 3). Pipes installed 1963 and 1975 are most likely to fail in the future; 4) The age of a pipe does not play a significant role for the remaining lifetime of the pipe; 5). After 2 to 3 failures, a pipe enters a fast-failure stage (i.e., frequent multiple between failures).

Distribution patterns and population structure of Illex coindetii (Cephalopoda: Ommastrephidae) in the Southern Tyrrhenian Sea: Historical series of 14 years trawl survey

2011 ◽  
Vol 109 (2-3) ◽  
pp. 342-350 ◽  
Author(s):  
Anna Perdichizzi ◽  
Laura Pirrera ◽  
Daniela Giordano ◽  
Francesco Perdichizzi ◽  
Barbara Busalacchi ◽  
...  
Keyword(s):  
Population Structure ◽  
Distribution Patterns ◽  
Trawl Survey ◽  
Tyrrhenian Sea ◽  
Historical Series ◽  
Southern Tyrrhenian Sea

scholarly journals Mimic Visiting Styles by Using a Statistical Approach in a Cultural Event Case Study

2016 ◽  
Vol 98 ◽  
pp. 449-454 ◽  
Author(s):  
Salvatore Cuomo ◽  
Pasquale De Michele ◽  
Monica Pragliola ◽  
Gerardo Severino
Keyword(s):  
Statistical Approach ◽  
Cultural Event

Crustal magnetism of the Southern Tyrrhenian Sea from aeromagnetic surveys

2006 ◽  
Vol 262 (1) ◽  
pp. 337-348
Author(s):  
G. L. Piangiamore ◽  
O. Faggioni ◽  
M. S. Barbano
Keyword(s):  
Tyrrhenian Sea ◽  
Southern Tyrrhenian Sea
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