1.

Record Nr.

UNIPARTHENOPE000019428

Autore

SAFA : <4. ;  : 1980

Titolo

Recent methods in nonlinear analysis and applications : SAFA 4., International meeting / ed. A. Canfora ... [et al.] : Napoli, March 21-28, 1980

Pubbl/distr/stampa

Napoli : Liguori, 1981

Titolo uniforme

Recent methods in nonlinear analysis and applications

ISBN

88-207-1079-X

Descrizione fisica

396 p. ; 23 cm

Disciplina

515.7

515.3

Collocazione

M 515.3/3

Lingua di pubblicazione

Italiano

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910557612003321

Autore

Schauberger Gùˆnther

Titolo

Environmental Odour

Pubbl/distr/stampa

Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022

Descrizione fisica

1 electronic resource (200 p.)

Soggetti

Technology: general issues

History of engineering & technology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Environmental odour is perceived as a major nuisance by rural as well as urban populations. The sources of odourous substances are manifold. In urban areas, these include restaurants, small manufacturing trades, and other sources, which might cause complaints. In the suburbs, wastewater treatment plants, landfill sites, and other infrastructures are the expected major odour sources. These problems are often caused be the accelerated growth of cities. In rural sites, livestock farming and the spreading of manure on the fields is blamed for severe odour annoyance. In fact, environmental odours are considered to be a common cause of public complaints by residents to local authorities, regional, or national environmental agencies. This Special Issue of Atmosphere will address the entire chain, from the quantification of odour sources, abatement methods, the dilution in the atmosphere, and the assessment of odour exposure for the assessment of annoyance. In particular, this Special Issue aims to encourage contributions dealing with field trials and dispersion modeling to assess the degree of annoyance and the quantitative success of abatement measures.