Zobrazeno 1 - 10
of 65
pro vyhledávání: '"G. Del Moro"'
Publikováno v:
Environmental science and pollution research international (2015). doi:10.1007/s11356-015-5729-3
info:cnr-pdr/source/autori:Del Moro G.; Barca E.; de Sanctis M.; Mascolo G.; Di Iaconi C./titolo:Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case/doi:10.1007%2Fs11356-015-5729-3/rivista:Environmental science and pollution research international/anno:2015/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:Del Moro G.; Barca E.; de Sanctis M.; Mascolo G.; Di Iaconi C./titolo:Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case/doi:10.1007%2Fs11356-015-5729-3/rivista:Environmental science and pollution research international/anno:2015/pagina_da:/pagina_a:/intervallo_pagine:/volume
[object Object]The Artificial Neural Networks by Multi-objective Genetic Algorithms (ANN-MOGA) model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular Reactor (SBBGR) with the aim of providing an effective tool for pr
Autor:
M. De Sanctis, Giuseppe Mascolo, Giuseppe Passarella, C. Di Iaconi, G. Del Moro, Emanuele Barca
Publikováno v:
Biochemical engineering journal 111 (2016): 43–53. doi:10.1016/j.bej.2016.03.005
info:cnr-pdr/source/autori:Barca E.; Moro G.D.; Sanctis M.D.; Mascolo G.; Passarella G.; Iaconi C.D./titolo:Managing the touristic pressure: Performances prediction of an advanced biological system by means of regression trees/doi:10.1016%2Fj.bej.2016.03.005/rivista:Biochemical engineering journal/anno:2016/pagina_da:43/pagina_a:53/intervallo_pagine:43–53/volume:111
info:cnr-pdr/source/autori:Barca E.; Moro G.D.; Sanctis M.D.; Mascolo G.; Passarella G.; Iaconi C.D./titolo:Managing the touristic pressure: Performances prediction of an advanced biological system by means of regression trees/doi:10.1016%2Fj.bej.2016.03.005/rivista:Biochemical engineering journal/anno:2016/pagina_da:43/pagina_a:53/intervallo_pagine:43–53/volume:111
A regression tree model has been used to make predictions of six gross parameters (COD, CODsol, N–NH4+, TN, Ptot and TSS) of an innovative SBBGR reactor. R2 values ranging from 0.94 to 0.97 were found for ammonia and total phosphorus, respectively.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::524cb7625b55c77e3d1b39538a12256e
https://publications.cnr.it/doc/371521
https://publications.cnr.it/doc/371521
Autor:
Giuseppe Mascolo, L. Prieto-Rodríguez, G. Del Moro, C. Di Iaconi, Sixto Malato, M. De Sanctis
Publikováno v:
Chemical engineering journal ( Print) 288 (2016): 87–98. doi:10.1016/j.cej.2015.11.069
info:cnr-pdr/source/autori:Del Moro G., Prieto-Rodríguez L., De Sanctis M., Di Iaconi C., Malato S., Mascolo G./titolo:Landfill leachate treatment: Comparison of standalone electrochemical degradation and combined with a novel biofilter/doi:10.1016%2Fj.cej.2015.11.069/rivista:Chemical engineering journal ( Print)/anno:2016/pagina_da:87/pagina_a:98/intervallo_pagine:87–98/volume:288
info:cnr-pdr/source/autori:Del Moro, G.; Prieto-Rodriguez, L.; De Sanctis, M.; Di Iaconi, C.; Malato, S.; Mascolo, G./titolo:Landfill leachate treatment: Comparison of standalone electrochemical degradation and combined with a novel biofilter/doi:10.1016%2Fj.cej.2015.11.069/rivista:Chemical engineering journal ( Print)/anno:2016/pagina_da:87/pagina_a:98/intervallo_pagine:87–98/volume:288
info:cnr-pdr/source/autori:Del Moro G., Prieto-Rodríguez L., De Sanctis M., Di Iaconi C., Malato S., Mascolo G./titolo:Landfill leachate treatment: Comparison of standalone electrochemical degradation and combined with a novel biofilter/doi:10.1016%2Fj.cej.2015.11.069/rivista:Chemical engineering journal ( Print)/anno:2016/pagina_da:87/pagina_a:98/intervallo_pagine:87–98/volume:288
info:cnr-pdr/source/autori:Del Moro, G.; Prieto-Rodriguez, L.; De Sanctis, M.; Di Iaconi, C.; Malato, S.; Mascolo, G./titolo:Landfill leachate treatment: Comparison of standalone electrochemical degradation and combined with a novel biofilter/doi:10.1016%2Fj.cej.2015.11.069/rivista:Chemical engineering journal ( Print)/anno:2016/pagina_da:87/pagina_a:98/intervallo_pagine:87–98/volume:288
Raw leachate and a biological effluent coming from the same raw leachate that has been biologically treated in a new type of biological reactor, were electrochemically treated. A batch-type electrolytic cell using two patented DSA (R) electrodes was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::071b2b03df971d9fe175816246e73fea
http://www.cnr.it/prodotto/i/343122
http://www.cnr.it/prodotto/i/343122
Autor:
A. Zapata, Gennaro Brunetti, G. Del Moro, Isabel Oller, C. Di Iaconi, D. Cassano, Sixto Malato, Giuseppe Mascolo
Publikováno v:
Chemical Engineering Journal. 172:250-257
The treatment of medium-age landfill leachate was investigated by employing several set-ups including a sequencing batch biofilter granular reactor (SBBGR) step, with or without ozone enhancement, followed or not by a polishing stage with solar photo
Publikováno v:
Water science and technology 58(12 (2008): 2395–2401. doi:10.2166/wst.2008.836
info:cnr-pdr/source/autori:DI IACONI C., DEL MORO G., LOPEZ A., DE SANCTIS M., RAMADORI R./titolo:MUNICIPAL WASTEWATER TREATMENT BY A PERIODIC BIOFILTER WITH GRANULAR BIOMASS/doi:10.2166%2Fwst.2008.836/rivista:Water science and technology/anno:2008/pagina_da:2395/pagina_a:2401/intervallo_pagine:2395–2401/volume:58(12
info:cnr-pdr/source/autori:DI IACONI C., DEL MORO G., LOPEZ A., DE SANCTIS M., RAMADORI R./titolo:MUNICIPAL WASTEWATER TREATMENT BY A PERIODIC BIOFILTER WITH GRANULAR BIOMASS/doi:10.2166%2Fwst.2008.836/rivista:Water science and technology/anno:2008/pagina_da:2395/pagina_a:2401/intervallo_pagine:2395–2401/volume:58(12
The paper reports the results obtained during an experimental campaign aimed at transferring aerobic granulation to a demonstrative SBBGR system (i.e., a submerged biofilter that operates in a “fill and draw” mode) for the treatment of municipal
Publikováno v:
ICID2015, Montpellier, France, 11-16/10/2015
info:cnr-pdr/source/autori:M. De Sanctis ; G. Del Moro; C. Levantesi, M.L. Luprano, C. Di Iaconi and A. Lopez./congresso_nome:ICID2015/congresso_luogo:Montpellier, France/congresso_data:11-16%2F10%2F2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:M. De Sanctis ; G. Del Moro; C. Levantesi, M.L. Luprano, C. Di Iaconi and A. Lopez./congresso_nome:ICID2015/congresso_luogo:Montpellier, France/congresso_data:11-16%2F10%2F2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine
The water availability is becoming limiting in several European Countries. Agriculture represents the main water user therefore the reuse of wastewater in agriculture could provide a valuable increase in freshwater resources for other needs. A plan f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::b638ab8b45d2cccbf54b872c3d9bb8ee
http://www.cnr.it/prodotto/i/338612
http://www.cnr.it/prodotto/i/338612
Autor:
Giuseppe Mascolo, Carlo Pastore, Vito Felice Uricchio, Emanuele Barca, C. Di Iaconi, G. Del Moro, Gennaro Brunetti
Publikováno v:
The Handbook of Environmental Chemistry ISBN: 9783319238913
The possibility of reusing leachate substances for agronomical purposes might be of interest, especially in arid areas when used in addition to the leachate water content. This study presents a simple procedure for the revegetation of the walls of cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d760d0ca09ff4bf8d367bc8e4fc23eb
https://doi.org/10.1007/698_2014_325
https://doi.org/10.1007/698_2014_325
Publikováno v:
Environmetal science and pollution research international (Internet) 21 (2014): 9366–9375. doi:10.1007/s11356-014-2878-8
info:cnr-pdr/source/autori:Del Moro G.; Barca E.; Cassano D.; Di Iaconi C.; Mascolo G.; Brunetti G./titolo:Landfill wall revegetation combined with leachate recirculation: A convenient procedure for management of closed landfills/doi:10.1007%2Fs11356-014-2878-8/rivista:Environmetal science and pollution research international (Internet)/anno:2014/pagina_da:9366/pagina_a:9375/intervallo_pagine:9366–9375/volume:21
info:cnr-pdr/source/autori:Del Moro G.; Barca E.; Cassano D.; Di Iaconi C.; Mascolo G.; Brunetti G./titolo:Landfill wall revegetation combined with leachate recirculation: A convenient procedure for management of closed landfills/doi:10.1007%2Fs11356-014-2878-8/rivista:Environmetal science and pollution research international (Internet)/anno:2014/pagina_da:9366/pagina_a:9375/intervallo_pagine:9366–9375/volume:21
There is a need for a reliable sustainable option to effectively manage the landfill leachate generation. This study presents a simple procedure for the revegetation of the walls of closed landfills, employing the leachate as a fertirrigant. The nati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4961657c4386c8921f9d049f8d967079
http://www.cnr.it/prodotto/i/298356
http://www.cnr.it/prodotto/i/298356
Publikováno v:
Biochemical engineering journal 94 (2014): 74–84. doi:10.1016/j.bej.2014.11.016
info:cnr-pdr/source/autori:Barca E., Del Moro G., Mascolo G.,Di Iaconi C./titolo:Gross parameters prediction of a granular attached biomass reactor through evolutionary polynomial regression/doi:10.1016%2Fj.bej.2014.11.016/rivista:Biochemical engineering journal/anno:2014/pagina_da:74/pagina_a:84/intervallo_pagine:74–84/volume:94
info:cnr-pdr/source/autori:Barca E., Del Moro G., Mascolo G.,Di Iaconi C./titolo:Gross parameters prediction of a granular attached biomass reactor through evolutionary polynomial regression/doi:10.1016%2Fj.bej.2014.11.016/rivista:Biochemical engineering journal/anno:2014/pagina_da:74/pagina_a:84/intervallo_pagine:74–84/volume:94
Heavy fluctuations in wastewater composition, such as those typical of tourist areas, can lead to a deterioration in treatment plant performance if no action is taken in advance. Mathematical modelling, applied to treatment plant performance predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d5ffaed984d4aba8ee35181ab042eb3
http://www.cnr.it/prodotto/i/298578
http://www.cnr.it/prodotto/i/298578
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.